Over the last several years, growing public attention has centered on the fallout from the subprime lending debacle—an unprecedented event that has resulted in massive foreclosures and widespread housing vacancy in what had been the perennially growing Sunbelt (Goodman 2007; Leland 2007). Across the southern United States, from Atlanta, to Fort Meyers, to Phoenix, massive new housing developments are largely unoccupied while older housing is abandoned due to foreclosure. Cities in the Sunbelt now exhibit housing vacancy rates akin to those observed in former industrial Rustbelt cities.

This situation leads to two critical questions: Can Sunbelt cities manage the land use changes that this unstable (and unpredictable) economic market has created, while still maintaining at least the status quo for remaining residents? Are these changes providing new planning opportunities for urban sustainability?

In our work with the Lincoln Institute, we conducted an empirical study to begin to answer those questions (Hollander et al. 2010). The United States Postal Service (USPS) regularly releases datasets that provide information on occupied housing units for each zip code. We were able to obtain household residential delivery data for all zip codes in the lower 48 states for three time periods: the beginning of the real estate boom (February 2000); the peak of the real estate market (February 2006); and a time of high foreclosures and significant decline in real estate markets (February 2009).

The key indicator employed in our study was derived from the USPS dataset: occupied housing units. The USPS data lists how many housing units received mail during a given month in each zip code. When no one is receiving mail at a location, it is considered vacant. After 90 days of vacancy, the USPS no longer lists the unit as active and, for our purposes, removes it from the occupied housing unit list.

Following a methodology developed by Hollander (2010), we noted changes in occupied housing unit density from one period to the next. It was possible to analyze this because zip code boundaries remained constant in our study sample. We focused on broad shifts in occupancy in a given zip code as being indicative of widespread vacancy and abandonment.

Two time intervals were selected for analysis: February 2000 to February 2006, and February 2006 to February 2009. The first period corresponds with the housing boom years, and the second period with the slowing of the boom into the foreclosure crisis. Change for each time interval and each zip code was calculated by subtracting the total count of households at the end of each interval from the count at the beginning.

Data Tabulation, Mapping, and Analysis

In addition to comparing national indicators of household change between the two periods, each dataset was separated into urban, suburban, and rural areas. Urbanized Areas, as defined by the United States Census, provided boundaries for our urban areas. Areas between the Urbanized Area and the Metropolitan Statistical Area boundary lines were considered suburban, and areas outside of Metropolitan Statistical Areas were considered rural.

For each of these regions and for both time intervals, we analyzed the following factors for both declining and gaining zip codes:

• number of zip codes with a net decline or gain in housing occupancy;
• total square mileage within those zip codes;
• total net housing loss (or gain) for all declining (and gaining) zip codes; and
• percentage of the total housing units lost (or gained) in declining (or gaining) zip codes.

The data were also mapped in three categories to display which zip codes were losing and gaining housing units for each time interval. Zip codes that had a net loss of 30 or more housing units were mapped as “losing,” those that gained 30 or more units were mapped as “gaining,” and those that lost or gained up to 29 units were considered as having no significant change.

Two measures of spatial autocorrelation—Global Moran’s I and a Univariate Local Indicator of Spatial Association (LISA)—were used to explore spatial clustering of USPS’s housing unit occupancy change data and thus identify broad areas that were impacted most severely. In this analysis, the GeoDA software package was used to run the Global Moran’s I and Univariate LISA tests, with results shown only for zip code clusters with significance at 0.01 for the Global Moran’s I test and 0.05 for the LISA test.

Four possible results are derived from the Univariate LISA test, in which “high change” refers to an increase in housing occupancy of more than 30 units in a zip code and “low change” refers to a decrease of more than 30 housing units.

1. High-high clustering: high change zip codes surrounded by high change zip codes

2. Low-low clustering: low change zip codes surrounded by low change zip codes

3. Low-high clustering: low change zip codes surrounded by high change zip codes

4. High-low clustering: high change zip codes surrounded by low change zip codes

The high-high and low-low results indicate local clustering, while the high-low and low-high results indicate outliers or “islands” (Anselin 1995).

Findings

This analysis of the USPS occupied housing dataset revealed a number of trends that provide a spatial and statistical context for understanding the foreclosure crisis and numerous paths for further investigation. We had anticipated finding significantly more zip codes with a decline in occupied housing in the 2006–2009 period than the 2000–2006 period. Though the latter period did have 16.4 percent more declining zip codes than the former period, this increase was not as high as expected given the assumption of a boom vs. bust comparison.

However, when the dataset was separated into urban, suburban, and rural areas, much more distinctive trends were evident (tables 1 and 2). Suburban areas registered 42.8 percent more declining zip codes in the latter (2,333) than the former period (1,634) and rural zip codes registered 13.8 percent more declining zip codes in the latter (2,189) than in the former period (1,924), whereas urban areas had only 1.9 percent fewer declining zip codes in the latter period (2,084 versus 2,124).

Figures 1 and 2 illustrate the occupied housing unit gains and losses during both periods. The 2006–2009 interval was marked not only by an increase in the size and number of declining (red) zip codes but a slowing of growth in previously expanding areas, as indicated by the increase in no-change (yellow) zip codes in many previously expanding regions. Decline also became more prevalent in new areas. The upper Midwestern states (Michigan, Wisconsin, Northern Illinois, and Minnesota) and the Sunbelt region (including Phoenix, Las Vegas, Los Angeles, the San Francisco Bay Area, New Orleans, and the outskirts of Florida’s coastal cities) showed noticeable increases in declining zip codes. In contrast, declines in the Great Plains, Mississippi River corridor, western Pennsylvania, and the Pacific Northwest were either less pronounced or reversed in the latter period.

The results of the Global autocorrelation tests indicated spatial clustering existed in the dataset. Not surprisingly, the LISA analysis found declining clusters prevalent in regions that had high percentages of declining zip codes, generally in both intervals (figures 3 and 4). However, it was surprising that fewer low-low (declining) clusters were found in the 2006–2009 period. The 2000–2006 period shows low-low clusters, particularly in the Great Plains states, the Mississippi River corridor, and western New York and Pennsylvania. Despite having more total declining zip codes, less low-low clustering occurred in the 2006–2009 period. However, clustering did occur in new territory including the upper Midwest, South Florida, New Orleans, the Southwest, and California.

Application of the Findings

Since completing the working paper on which this article is based, its findings have influenced further on-the-ground research. Widespread instances of decline in metropolitan areas in the Sunbelt led to more targeted research in cities shown to be among those most severely impacted by the recession of the late 2000s. Three cities are examined as case studies by Hollander (2011): Phoenix, Orlando, and Fresno (figures 5, 6, and 7).

In Phoenix, a fire-hot real estate market led to widespread overbuilding of housing in recent years. Developers converted farms in the Laveen neighborhood into housing subdivisions, in some cases finishing only half of them. In Orlando, inner city neighborhoods that had experienced rebirth in the mid-2000s are stricken by widespread foreclosures today, leading to arson and high vacancy levels. Many of the grand older houses of Fresno are now overrun with weeds and decay as demand for housing has plummeted in this center of California’s agricultural industry. With jobs scarce, people are fleeing former boomtowns and leaving behind a new type of vacancy and abandonment. In these cities and others, entire blocks that had been fully occupied now have half or more of the housing stock unoccupied.

Additionally, the number of new declining zip codes found in Metropolitan Statistical Areas in this study raises more specific questions about how the recent recession has impacted different parts of the country. This finding challenges the belief that urban cores are most prone to decline while suburban growth will continue in perpetuity.

This shift in declining neighborhoods from urban to suburban areas spurred another related study that broke metropolitan regions down into central cities, inner ring suburbs, and outer ring suburbs (Zinder 2010). It used statistical metrics to compare trends within those subsets of the metropolitan region and added another round of evidence that suburban decline is becoming more pervasive in most regions of the country.

Zinder found more new declining zip codes in all suburban regions during the recent recession than in the previous period and determined that outer ring suburbs sustained the largest increase of new zip codes with a net decline in housing occupancy. In contrast, the total number of declining zip codes in central cities decreased. This study also provided additional support for the regional trends reported here showing particularly deep impacts in southwestern cities and outer ring suburbs in the Midwest, South, and Northeast.

Concluding Remarks

The findings from this research effort indicate that the face of declining cities and regions in America has begun to change. Though many areas previously hit by economic downturns have continued to feel their impacts, decline is no longer limited primarily to older manufacturing towns, urban cores, and declining rural farming communities. Places that had prospered in more recent times, including Sunbelt cities and remote suburbs, have begun to see declines in occupied housing stock as well and were, in fact, the places hit hardest by the subprime lending crisis. It is important to note that housing abandonment (i.e., a drop in occupied housing unit density) is one manifestation of neighborhood change, but it is only part of a larger story of metropolitan growth and decline. We focus here on those neighborhoods in decline, but in the future we will be attuned to growing neighborhoods as well.

Our research located some statistically significant clusters of zip codes experiencing home abandonment in recent years. The next question to answer is: What social processes and factors explain this clustering? In future phases of this research, we plan to examine how changes in occupied housing density have been dispersed throughout major Census-defined Urbanized Areas and begin to employ advanced multivariate statistical techniques to understand the key attributes associated with clusters of decline.

Should current trends persist in years to come, planners and policy makers will need to be better prepared, perhaps by looking to models adopted by other communities to build upon existing assets while embracing population decline. Understanding these complex dynamics will help community leaders come to terms with the challenges their cities and regions face. This article provides an introduction to a methodological approach to identify these trends in nearly real time to help quantify impacts on a given zip code, city, or region.

References

Anselin, Luc. 1995. Local indicators of spatial autocorrelation–LISA. Geographical Analysis 27:93–115.

Goodman, Peter S. 2007. This is the sound of a bubble bursting. The New York Times. December 23.

Hollander, Justin B. 2010. Moving towards a shrinking cities metric: Analyzing land use changes associated with depopulation in Flint, Michigan. Cityscape: A Journal of Policy Development and Research 12(1):133–151.

Hollander, Justin B. 2011. Sunburnt cities: The great recession, depopulation, and urban planning in the American Sunbelt. London/New York: Routledge.

Hollander, Justin, Colin Polsky, Dan Zinder, and Dan Runfola. 2010. The new American ghost town: Foreclosure, abandonment, and the prospects for city planning. Working Paper. Cambridge, MA: Lincoln Institute of Land Policy.

Leland, John. 2007. Officials say they are falling behind on mortgage fraud cases. The New York Times. December 25.

Zinder, Daniel H. 2010. Through the rings: A study of housing occupancy declines across major urbanized areas in the United States. Medford, MA. Tufts University.

Acknowledgments

Many thanks go to Nick Giner for his contributions to the spatial autocorrelation analysis used in this research. Much of the methodological explanation is based directly on his work on the spatial distribution of lawns in Massachusetts.

About the Authors

Justin B. Hollander is an assistant professor in the Department of Urban and Environmental Policy and Planning at Tufts University in Medford, Massachusetts, and a research scientist at the George Perkins Marsh Institute at Clark University in Worcester, Massachusetts.

Colin Polsky is an associate professor at the Graduate School of Geography and associate dean for Undergraduate Research & Active Pedagogy at Clark University. He is a geographer specializing in the human dimensions of global environmental change.

Dan Zinder is a recent graduate of masters degree program in Urban and Environmental Planning at Tufts University. His research interests include land use policy, declining cities, GIS, and sustainability.

Dan Runfola is a Ph.D. student at Clark University. His research interests include remote sensing, GIS, land change science, and vulnerability.

Infrastructure, defined to include transport, telecommunication, electric power, water, and sanitation, is high on the agenda of both industrial and developing countries. In the United States, concern has been mounting about insufficient maintenance and the resulting decline in the quality of infrastructure facilities and services, especially in transport. Additional investments in infrastructure have also figured heavily in proposals to stimulate demand, employment, and economic growth. In developing countries, infrastructure’s challenges relate more to increasing capacity to provide services to both existing urban residents and the two billion new urban residents projected to arrive by 2050. The Lincoln Institute’s seventh annual land policy conference, held in early June 2012, addressed many aspects of infrastructure including investment, maintenance, and its externalities.

Economic aspects.

Empirical work carried out over the past 25 years on the macroeconomic returns to infrastructure investment have produced a wide range of outcomes–from negative returns to those above 30 percent annually. A careful survey of more recent studies indicates that infrastructure investment in transport, power, and telecom is likely to have positive macroeconomic effects and raise productivity.

At the same time, many countries allocate only modest sums to infrastructure maintenance, even though a broad consensus of opinion and empirical evidence indicate that the returns to maintenance–particularly transport–are very high. Inadequate maintenance may result from donor preferences to fund new capacity in developing countries, but maintenance shortfalls are also common in developed countries, suggesting that other institutional factors are likely to be important.

Networked infrastructure normally is subject to scale economies, and some networks are natural monopolies. Such infrastructure must be subject to economic regulation to prevent firms from engaging in monopoly pricing. While the need for regulation is most apparent when infrastructure is provided by private firms, regulatory oversight is often necessary when provision is by a public enterprise.

Spatial aspects.

Infrastructure has a strong influence on spatial development patterns and can be used to direct growth and–along with zoning and other incentives–to encourage more dense and compact development patterns. While only a few studies are available, however, empirical work indicates that the cost of redeveloping brownfield sites exceeds the cost of greenfield development including the costs of new infrastructure service.

The de-industrialization of cities has been going on for a long time, but recently some cities, such as San Jose, California, have stopped supporting the conversion of industrial or office space to residential or commercial use. They seek to maintain appropriate space for employment when economic growth returns so that they can compete for new firms and encourage local job creation.

Externalities.

Metropolitan areas produce about three-quarters of global anthropogenic greenhouse gas emissions annually, with a large share coming from transport and electric power. The replacement of aging systems and installation of new capacity provide a major opportunity to switch to more energy- and emission-efficient systems in urban areas. System management also can be improved with congestion tolls, parking fees, and transit expansion; by ensuring that tariffs cover the costs of water and electric power; and by promoting green buildings.

Relocating households in the path of infrastructure expansion involves a large number of people displaced by new roads or the widening of existing roads, the location of new facilities such as power plants, and reservoirs that flood broad areas behind dams. Estimates indicate that between 10 and 23 million persons are resettled involuntarily in developing countries each year, and that the majority of relocations are related to infrastructure. Some of these involuntary resettlements meet the safeguard standards promulgated by the World Bank or other standards such as the Equator Principles, but most resettlement is subject to only national or provincial policies.

These topics and many others–including the impacts on infrastructure of mega-events such as the Olympics, the taxation of utilities, the locational effects of congestion tolls, the variation in quality of infrastructure services, and the remarkable impacts of mobile telephony in Africa–will be covered in the conference proceedings that will be available as a printed volume in May 2013 and later as an eBook.

Housing is an important component of both a household’s net worth and aggregate national wealth or stock of residential capital. Aggregate residential wealth is the sum of the values of all housing units. In Brazil, residential structures represent about one-third of total net fixed capital, so their value is important for economic and social policy. This analysis asks: What variables determine the stock values of residential property? How do location and neighborhood conditions affect these values? What is the aggregate residential wealth in the Rio de Janeiro Metropolitan Region (Metro Rio)? What is its distribution among household income and housing value groups? In other words, what generates residential wealth? How much residential wealth is there? Who holds it? Where is it located? (Vetter, Beltrão, and Massena 2013.)

Methodology for Estimating Residential Wealth

To address these questions, we first calibrated a hedonic residential rent model with sample microdata from the 2010 population census conducted by the Brazilian Institute of Geography and Statistics (IBGE). The units of analysis are households living in private, permanent housing units in urban areas of Metro Rio. The total number of households in 2010 was 3.9 million, and our sample is 223,534 (5.7 percent). We used the 41,396 renters in the sample to calibrate our model and then estimated the rents for homeowners and the landlords of rent-free units. Finally, we transformed the actual and imputed rents into housing values by dividing them by the monthly discount rate of 0.75 percent (9.38 percent annual rate), as is standard practice for Brazilian residential wealth studies (Cruz and Morais 2000, Reiff and Barbosa 2005, and Tafner and Carvalho 2007).

The underlying assumption in these studies is that the hedonic prices of the characteristics in the model and the discount rate are similar for rental and nonrental units. These are strong but necessary assumptions for the application of the methodology with the existing census microdata. The sum of estimated housing values is our measure of residential wealth. The objective is to estimate the aggregate value of all housing units and their average values.

In calculating average housing prices for these groups, we do not control for housing size or other characteristics, as would be done for hedonic housing price indices. Using census microdata, we can also estimate the residential wealth by household income as well as for smaller spatial units within municipalities, such as neighborhoods or districts. Even though the sample of rental units is relatively large, sample size drops rapidly as rents and household incomes rise, and the variances are particularly high for the open group at the top end of the distribution. Because we do not have data on the value of mortgages, our measure is of gross rather than net residential wealth.

Using rents from the census or a household survey compares favorably with other commonly used methods for estimating residential wealth for the Brazilian national accounts and related studies (Garner 2004), such as asking homeowners to estimate the selling price or monthly rent of their homes, using the asking prices for home sales, or using the prices registered when recording the sale. Whereas renters know their monthly rent payment, the informants may have little understanding of current trends in housing prices, and the original asking price is often higher than the final sale price. In Rio de Janeiro, the municipal government uses its own estimates of the sale prices based on asking prices, rather than the value registered in calculating the real estate transfer tax, because buyers and sellers often register lower prices.

In our hedonic residential rent model, the dependent variable is a vector of residential rents, and the independent variables are matrices of the structural characteristics of the housing unit, access to employment, and neighborhood characteristics, including indicators of access to urban infrastructure and services. The variables used are for the household per se and also for the census area in which it is located. Figure 1 shows Metro Rio’s 336 census areas and the larger municipal boundaries grouped into six subregions based on indicators analyzed in this and previous studies (Lago 2010).

The indicator for access to employment measures the average commute time to work for residents in each of the census areas. Figure 2 (p. 16) shows that the average commute time increases with distance from the center, but not by as much as one might expect—partly due to increased traffic congestion in all areas and to the fact that Metro Rio is polycentric with many subordinate centers.

The indicators of the quality of neighborhood infrastructure and services include the household`s access to the public sewer and water systems, garbage collection, and block conditions (e.g., street paving and drainage). As these indicators are highly intercorrelated, the component scores from a principal components analysis serve as the independent variables in the hedonic model. Component 1 explains 46.6 percent of the variance and shows high positive loadings on adequate block conditions and infrastructure, and high negative loadings on inadequate block conditions (e.g., garbage in the street and open sewers), indicating which areas have a higher level of attractiveness or desirability (figure 3). Although the lowest scores are clearly concentrated in the outlying areas, the patterns of attractiveness vary considerably. As with commute times, the distribution pattern of the attractiveness scores reveals the complexity of Metro Rio’s spatial structure.

Our hedonic model explains 73 percent of the variance of residential rent. The key independent variables are statistically significant; neighborhood quality and access to employment explain nearly two-thirds of the variance, while the structural characteristics of the housing explain only about one-third of the variance. In other words, the bulk of housing value is the capitalized value of access to employment and to neighborhood infrastructure and services, all of which are determined in large part by public expenditures. Figure 4 (p. 18) shows the distribution of average estimated housing values for census areas in US$ determined by our methodology. (The average exchange rate for 2010 is US$1=R$1.76.) These values tend to be highest in areas affording relatively low commute times and good access to urban infrastructure and services.

Distribution of Residential Wealth

How much residential wealth is the property of homeowners versus the landlords of rental properties and rent-free units used by employers, family members, or others? Our estimate of Metro Rio’s aggregate residential wealth of both occupied and unoccupied units in 2010 is US$155.1 billion (94.2 percent of Metro Rio’s 2010 GDP of US$164.4 billion) and US$140.2 billion for occupied units only (84.2 percent of Metro Rio’s GDP). Among total occupied units, 74.8 percent of this residential wealth (about US$105 billion) belongs to owner-occupied units, and the rest belongs to landlords of rented and rent-free units. In the case of lower-income households, the landlords could be another lower-income family.

Table 1 shows that the percent of homeowners is quite similar for all household income groups. For example, homeowners occupy nearly three-quarters of the households in the lowest household income group (with fewer than two minimum salaries or an average annual income of only US$4,407). A key reason for these high homeownership levels is that those living in favelas, squatter settlements, or other types of informal housing can declare themselves homeowners, even if they do not legally own the land on which their home is located. The 2010 Census showed more than 520,000 households (more than 15 percent of the total private permanent urban households) living in these types of settlements in Metro Rio. Land ownership in these settlements is a complex legal question on which even lawyers may not agree, since the chances of removal (at least removal without compensation) are quite low, and those living on land without a legal title may be eligible for squatter’s rights after five years under Brazilian law.

Although 25.3 percent of total households earned less than two minimum salaries (US$ 6,960 per year), the homeowners in this group held only 15.3 percent of the aggregate residential wealth of all homeowners. By contrast, only 15.6 percent of households earned 10 or more minimum salaries (US$34,800 per year), but homeowners in this income group held 34.5 percent of the aggregate residential wealth. Nonetheless, lower income households have more residential wealth than one might expect, in part because they are often homeowners in informal settlements.

Figure 5 (p. 19) shows the Lorenz Curve for the distribution of aggregate residential wealth of homeowners by housing value groups. This distribution is quite unequal, because the nearly 23.7 percent who are not homeowners have no such wealth (as shown where the Lorenz curve runs along the bottom of the axis) and because those living in higher-priced housing have greater residential wealth.

Distribution of Residential Wealth by Subregions

The bulk of aggregate residential wealth is held by those living in the suburbs and periphery around Metro Rio, although the average value of their housing units is lower. Table 2 shows that those subregions (4 and 6) together represent 79 percent of Metro Rio’s total households (3.1 million) and 58.1 percent of aggregate residential wealth (US$80.9 billion). Subregion 2 (the older, higher-income neighborhoods along the bay and coast) holds only 6.3 percent of Metro Rio’s households (about 242,000) and 19.0 percent of its residential wealth.

The percentage of renters is highest in the large squatter settlements (subregion 5), at 28.6 percent, with an additional 2.7 percent of rent-free units. Homeownership rates are highest (80.4 percent) in the periphery (subregion 6), where many owners live on land for which they do not have full legal title, though these areas generally are not squatter settlements as defined by IBGE.

Spatial Distribution of Household Income

One result of the interplay of market forces that shape residential rent and housing prices is that the distribution of aggregate household income tends to mirror the distribution of aggregate residential wealth. In other words, there is a relatively high residential segregation by income groups, with lower-income families concentrated in the large squatter settlements and in the suburbs and periphery (subregions 4, 5, and 6). High spatial concentration of higher-income households generates higher aggregate income and demand in areas that support higher-level services—in turn making these areas more attractive to higher-income homebuyers and renters. Figure 6 (p. 20) shows that the average annual household incomes for the census areas in 2010 reflect to a large extent the distribution of average housing values (figure 4), commute times (figure 2), and neighborhood attractiveness (figure 3).

In 2010, the high-income Barra da Tijuca area (subregion 3) held only 2.1 percent of total households in Metro Rio but 8.1 percent of aggregate household income and 7.6 percent of aggregate residential wealth. By comparison, the four large squatter settlements of subregion 5 held 2.5 percent of total households but only 1.0 percent of aggregate household income and 1.4 percent of residential wealth. Nonetheless, the aggregate residential value in these four squatter settlements was nearly US$2 billion, and the average housing value was almost US$21,000. These results show a relatively high spatial concentration of both aggregate household income and residential wealth that is tempered slightly by the home-ownership rate in squatter settlements.

Implications for Methodology and Policy Decisions

The methodology used in this analysis provides interesting insights into the macroeconomic and social importance of residential wealth; the variables that generate it; its distribution among household tenure, income, and housing value groups; and its allocation among subregions ranging from high-income neighborhoods to squatter settlements. The strong assumptions required in using the methodology must be taken into account when interpreting the results. Data from property registries or other sources with more detailed information on unit size could eventually be used to complement this methodology.

Government services, investments, and regulatory actions can result in benefits (e.g., access to employment, urban services, and amenities) and costs (e.g., taxes, fees, and negative environmental impacts) that are capitalized into the value of housing in the affected neighborhoods. For homeowners, positive net benefits from government actions increase their residential wealth, because they are capitalized in the value of their housing. However, for renters and new homebuyers, these same government actions can cause rents and housing prices to rise along with the net benefits. Some households, especially the lower-income renters and homebuyers, may have to leave the benefited area, and other potential new owners may be unable to locate in the area. Thus, housing tenure is important in determining whether or not a household receives the net benefits of government investments and regulatory actions.

Capitalization of the net benefits of government actions would clearly be an issue for the more than 30 percent of households in the four large squatter settlements that are not homeowners, as well as for those entering the housing market. Although there are no reliable data on housing turnover, we know that the total number of urban households in Metro Rio increased more than 20 percent, by almost 657,000, between 2000 and 2010. This increment was 14 percent higher than the total number of households in the Municipality of Curitiba (the state capital of Paraná) in 2010 and well over twice the number in Washington, D.C. All these new households, plus all the renters (about one-fifth of total households) and homeowners wishing to move, would be subject to increased rents and housing prices generated by the net benefits of government actions.

These results demonstrate a need for policies to ensure that rising rents and housing prices do not exclude some households from areas where public services and infrastructure are being improved. For example, financial assistance for home purchases could be part of the improvement program. One way of financing the needed lower-income housing and investment programs would be to capture part of the value being generated by infrastructure investments from higher-income households. Capturing part of the value generated by urban investments could help finance additional housing subsidies for lower-income families, as well as added investment, thereby providing a kind of investment multiplier.

About the Authors

David M. Vetter (Ph.D. University of California) has worked for more than four decades on urban finance and economics issues in Latin America for Brazilian entities, at the World Bank and Dexia Credit Local, and also as a consultant.

Kaizô I. Beltrão (Ph.D. Princeton University) was the dean and a senior researcher at the National Statistics School (an entity of IBGE) and is now a full professor and senior researcher at the Fundação Getúlio Vargas.

Rosa M. R. Massena (Doctorate, Université de Bordeaux) was a senior researcher at the IBGE for 23 years and since then has worked as a consultant on social indicators programs for Habitat, the World Bank, UNDP, and other entities.

Resources

Cruz, Bruno. O. and Maria P. Morais. 2000. Demand for Housing and Urban Services in Brazil: A Hedonic Approach. Paper presented at the European Network for Housing Research Conference, Gavle, Sweden (June).

Garner, Thesia I. 2004. Incorporating the Value of Owner-Occupied Housing in Poverty Measurement. Prepared for the Workshop on Experimental Poverty Measures, Committee on National Statistics. Washington, D.C.: The National Academies.

Lago, Luciana C. 2010. Olhares Sobre a Metrópole do Rio de Janeiro: Economia, Sociedade e Território. Rio de Janeiro, Brazil: Observatório das Metrópoles, FASE, IPPUR/UFRJ.

Reiff, Luis. O. and Ana L. Barbosa. 2005. Housing Stock in Brazil: Estimation Based on a Hedonic Price Model. Paper No. 21. Basel, Switzerland: Bank for International Settlements.

Tafner, Paulo and Marcia Carvalho. 2007. Evolução da Distribuição Familiar da Riqueza Imobiliária no Brasil: 1995–2004. Revista de Economia 33(2) (Julho-Dezembro): 7–40.

Vetter, David M., Kaizô I. Beltrão, and Rosa R. Massena. 2013. The Determinants of Residential Wealth and Its Distribution in Space and Among Household Income Groups in the Rio de Janeiro Metropolitan Region: A Hedonic Analysis of the 2010 Census Data. Working Paper. Cambridge, MA: Lincoln Institute of Land Policy.

El fortalecimiento de la salud fiscal municipal en China

Desde el año 2013, Zhi Liu se ha desempeñado como investigador senior y director del Programa para China del Instituto Lincoln de Políticas de Suelo. También es director del Centro para el Desarrollo Urbano y Políticas de Suelo de la Universidad de Pekín y el Instituto Lincoln (PLC). Anteriormente, Zhi fue especialista principal en infraestructuras en el Banco Mundial, donde trabajó durante 18 años y obtuvo experiencia operativa en varios países en vías de desarrollo.

Zhi obtuvo el título de grado (BS) en Geografía Económica por la Universidad Dr. Sun Yat-Sen (China), el título de maestría (MS) en Planificación Municipal y Regional por la Universidad de Nanjing (China) y el título de doctorado (Ph.D.) en Planificación Urbana por la Universidad de Harvard.

LAND LINES: Hace poco el Instituto Lincoln comenzó un plan de investigación sobre la salud fiscal municipal en todo el mundo. Esta tarea surgió al detectar que algunas ciudades de los Estados Unidos y de muchos otros países, como China, enfrentan dificultades financieras. ¿Cuál es la naturaleza de los problemas fiscales municipales en China?

ZHI LIU: Es muy diferente de las dificultades económicas que enfrentan las ciudades de los Estados Unidos. Estos dos países se encuentran en etapas de urbanización muy distintas. Mientras que los EE.UU. tiene un alto nivel de urbanización (más del 80 por ciento de los ciudadanos vive en áreas urbanas), según el censo de 2010, China todavía está a medio camino del proceso de urbanización. Hoy en día, 750 millones de ciudadanos chinos viven en ciudades, lo que representa el 55 por ciento de la población total. Para el año 2050, se espera que la población urbana alcance 1,1 mil millones de habitantes, es decir, el 75 por ciento de la población total. En los últimos veinte años, con la excepción de unas pocas ciudades mineras, casi todos los municipios han experimentado un rápido crecimiento de la población y una expansión espacial, lo que ha generado una gran demanda de inversiones públicas en infraestructura urbana.

En China, las principales fuentes de financiamiento para inversiones en infraestructura urbana son los ingresos provenientes de las concesiones del suelo y los préstamos que los municipios solicitan a los bancos comerciales, por lo general usando el suelo como garantía. El suelo urbano es de propiedad del Estado, y el suelo rural es de propiedad conjunta de las aldeas. La Ley de Administración del Suelo establece que sólo el Estado tiene el poder para convertir suelo rural en suelo de uso urbano, lo que crea el marco propicio para que los gobiernos municipales tomen suelo rural con el fin de realizar un desarrollo urbano mediante el proceso de concesión del suelo. De hecho, los gobiernos municipales expropian el suelo rural, lo dotan de infraestructura y venden los derechos de uso del suelo a desarrolladores inmobiliarios. La compensación que reciben los agricultores por el suelo que se les expropia no es muy alta, ya que se calcula según el valor de producción agrícola del suelo en lugar del valor de mercado del suelo para uso urbano. Cuando la demanda de desarrollo inmobiliario es alta, los precios de licitación para la concesión del suelo son altos, y los gobiernos municipales comienzan a recaudar grandes sumas de dinero. En los últimos diez años, los ingresos derivados de las concesiones del suelo han representado más de un tercio del total de los ingresos fiscales municipales.

Además, los gobiernos municipales expanden aun más su capacidad financiera mediante la utilización de propiedades de suelo a modo de garantías con el fin de obtener préstamos de los bancos comerciales. La Ley de Presupuesto Chino, antes de una reciente modificación, no permitía que los gobiernos municipales solicitaran préstamos. Sin embargo, la mayoría de los gobiernos municipales superó las restricciones de la ley mediante la creación de sus propios vehículos financieros municipales, conocidos como sociedades anónimas de inversión en desarrollo urbano (sociedades anónimas de inversión en desarrollo urbano, UDIC, por sus siglas en inglés). Las UDIC solicitaban préstamos comerciales o emitían bonos privados para los gobiernos. Las deudas municipales pendientes de pago han crecido rápidamente en los últimos años, y en la actualidad han alcanzado al menos un tercio del PIB.

El mecanismo de financiamiento basado en el suelo ha ayudado a los gobiernos municipales de China a recaudar una suma significativa de fondos destinados a la inversión de capital. No obstante, este éxito también ha generado un incentivo para que los gobiernos municipales dependan demasiado de las concesiones del suelo y de las UDIC. Hoy en día, la economía de China crece mucho más lentamente que antes, por lo que este mecanismo está perdiendo fuerza en muchos municipios donde la conversión del suelo rural en suelo de uso urbano excede la demanda real. Algunas ciudades han obtenido más préstamos de los que podían devolver, y han quedado fuertemente endeudadas.

Según muchos estudios empíricos, incluidos algunos financiados por el Instituto Lincoln, el mecanismo de financiamiento basado en el suelo en China es una de las principales causas de otros problemas urbanos que enfrentamos en la actualidad, tales como precios exorbitantes de la vivienda, deudas municipales en aumento, excesiva expropiación del suelo, creciente tensión entre agricultores y gobiernos municipales en torno a la expropiación del suelo, y brechas cada vez mayores en la distribución de los ingresos y la riqueza entre las poblaciones urbanas y las rurales.

LL: Los medios de comunicación internacionales han estado realizando informes acerca de estos problemas. ¿De qué manera afrontará China estas cuestiones?

ZL: Existe un alto nivel de consenso acerca de las causas profundas de estos problemas. En noviembre de 2013, el gobierno central anunció una serie de reformas, algunas de las cuales están directamente relacionadas con políticas de urbanización y finanzas municipales. Por ejemplo, los alcances de las expropiaciones del suelo se limitarán a los fines públicos, por lo que las aldeas podrán desarrollar su suelo para uso urbano según la premisa de que se realice de acuerdo con lo planificado. Las reformas también requieren la aceleración de la legislación sobre el impuesto a la propiedad, la reforma del hukou (el sistema de inscripción residencial para familias, que ayuda a los agricultores a convertirse en residentes urbanos) y la toma de medidas por parte del gobierno para poner los servicios públicos urbanos básicos a disposición de todos los residentes permanentes de las ciudades, incluso a los que migran del suelo rural al urbano.

LL: ¿Cuáles son los efectos de la reforma del hukou en las finanzas municipales?

ZL: El gobierno chino está eliminando gradualmente el antiguo sistema del hukou, y los efectos de esta decisión sobre las finanzas municipales serán importantes. El hukou se diseñó con el fin de identificar a un ciudadano como residente de una cierta ciudad, aunque durante décadas el gobierno utilizó este sistema para controlar la migración de áreas rurales a urbanas. Una persona inscrita como hukou rural no podía cambiar su inscripción a hukou urbano sin la autorización del gobierno. Y sin la inscripción como hukou urbano, un trabajador rural migrante no tiene derecho a recibir los servicios públicos que proporcionan los gobiernos urbanos.

A partir de la reforma económica, la economía urbana en expansión ha absorbido una gran cantidad de trabajadores migrantes que pasan de áreas rurales a urbanas. Anteriormente mencioné que el índice de urbanización de China es del 55 por ciento y que la población urbana es de 750 millones de habitantes. Estas cifras incluyen a los 232 millones de trabajadores rurales migrantes que permanecen en ciudades durante más de la mitad del año. Si se los excluyera del cálculo, el nivel de urbanización sería sólo del 38 por ciento. Sin embargo, debido a su inscripción como hukou rural, los trabajadores migrantes no tienen acceso a muchos de los servicios de los que gozan los inscritos como hukou urbano, a pesar de que muchos han trabajado y vivido en ciudades durante varios años. Los gobiernos municipales determinan el alcance de muchos de los servicios públicos urbanos, tales como las escuelas públicas y las viviendas económicas, de acuerdo con la cantidad de inscritos como hukou urbanos que existen dentro de la jurisdicción municipal. La eliminación gradual del hukou aumentaría significativamente la carga fiscal de los gobiernos municipales para proporcionar servicios públicos. Ciertos académicos en China estiman que el costo de prestar la totalidad de los servicios públicos urbanos a cada trabajador rural migrante ascendería al menos a RMB 100.000 (unos US$16.000). El desembolso total para todos los trabajadores rurales migrantes actuales sería al menos de RMB 23 billones (cerca de US$3,8 billones).

LL: China está introduciendo el impuesto sobre la propiedad residencial. ¿En qué estado se encuentra esta iniciativa?

ZL: El gobierno está redactando la primera ley nacional del impuesto sobre la propiedad como parte de la reforma de finanzas públicas actualmente en marcha. China es uno de los pocos países que no poseen impuestos municipales sobre la propiedad. El actual sistema impositivo depende en gran manera de los impuestos sobre los negocios y las transacciones y muy poco de los impuestos sobre los ingresos y la riqueza de los hogares. En una China más urbanizada con una población que tenga mayor poder adquisitivo para ser propietaria de sus propios inmuebles residenciales, el impuesto sobre la propiedad sería una fuente más viable de recaudación municipal. Hoy en día, el 89 por ciento de los hogares urbanos tiene la propiedad de una o más unidades residenciales, y el valor de dichas propiedades tiene mucho que ver con los servicios públicos urbanos. El impuesto sobre la propiedad permitirá que las ciudades impongan este tributo sobre las propiedades residenciales cuyo valor se vería beneficiado por una mejora de los servicios públicos que se brindarían gracias a los ingresos derivados de dicho impuesto. También cubriría una parte de la brecha fiscal que se generaría como consecuencia de la disminución prevista en la recaudación proveniente de las concesiones del suelo. No obstante, el impuesto sobre la propiedad no será una fuente principal de ingresos municipales en el corto plazo, ya que al Congreso Popular Nacional le llevará uno o dos años más aprobar la nueva ley. Además, a las ciudades les llevará dos o tres años establecer la base de datos de propiedades y el sistema de valuación y administración de las mismas.

LL: Debe de ser difícil para las ciudades tener que enfrentar una reducción de los ingresos derivados de las concesiones del suelo sin una alternativa inmediata, especialmente cuando están experimentando una creciente deuda municipal, tal como se ha informado ampliamente. ¿Cómo saldrán de esta situación las ciudades chinas?

ZL: La situación es verdaderamente difícil. La economía de China está en retroceso. El sector inmobiliario ya no es tan pujante como en los últimos diez años, lo que ha dado como resultado una menor demanda de suelo y, como consecuencia, los gobiernos municipales están obteniendo una recaudación derivada de las concesiones de suelo menor. Ahora las ciudades están experimentando una brecha fiscal. Una posible forma de cerrar esta brecha sería que los gobiernos municipales pudieran obtener préstamos. Sin embargo, tal como mencioné anteriormente, muchas ciudades están endeudadas y tienen poca capacidad para seguir pidiendo préstamos. De hecho, la mayoría de las ciudades en China no tiene una capacidad adecuada de gestión de deudas. La ley de presupuesto recientemente modificada permite que los gobiernos provinciales emitan bonos dentro de los límites establecidos por el Concejo del Estado, pero también cierra la posibilidad a los gobiernos municipales de recurrir a otras formas de obtener préstamos. Actualmente, el gobierno central promueve activamente el financiamiento de infraestructura a través de asociaciones público-privadas (PPP, por sus siglas en inglés). Aunque es un buen avance, no será suficiente para cerrar la brecha de financiamiento para infraestructuras, ya que las PPP resultan útiles principalmente en los casos de proyectos de infraestructura que poseen un sólido flujo de ingresos. Existen muchos otros proyectos de infraestructura urbana que generan muy pocos ingresos o directamente ninguno. A la larga, creo que China debería establecer de forma activa un mercado de bonos del gobierno municipal para canalizar los fondos provenientes de inversores institucionales hacia la inversión de infraestructura municipal y permitir que los gobiernos municipales tengan acceso a préstamos comerciales según su solvencia crediticia. A este fin, los gobiernos municipales deben desarrollar su capacidad institucional en varios frentes, tales como la gestión municipal de deudas, la planificación de una mejora de capital, la planificación del financiamiento para varios años, y la gestión municipal de bienes de infraestructura.

LL: ¿El trabajo del PLC es relevante para la reforma actual?

ZL: El PLC fue establecido en forma conjunta por el Instituto Lincoln y la Universidad de Pekín en el año 2007. Cuando ingresé en 2013, el Centro ya había construido su reputación como una de las principales instituciones de investigación y capacitación de China en cuestiones de desarrollo urbano y políticas de suelo. El Centro apoya diferentes actividades, como investigación, capacitación, intercambio académico, diálogo sobre políticas, becas de investigación, proyectos de demostración y publicaciones. Nos enfocamos en cinco temas principales: tributación sobre la propiedad y finanzas municipales, políticas de suelo, viviendas urbanas, desarrollo y planificación urbana, y medio ambiente urbano y su conservación. En los últimos años, nuestros proyectos de investigación han tocado temas como las finanzas dependientes del suelo, las deudas municipales, los precios de la vivienda, la inversión y el financiamiento del capital para infraestructura, y otras cuestiones relevantes para la salud fiscal municipal. Además, hemos brindado capacitación a diferentes agencias gubernamentales de China sobre las experiencias internacionales relativas al análisis y gestión del impuesto a la propiedad. Podría decirse que nuestro trabajo es muy pertinente en lo que respecta a la reforma actual.

La implementación de las nuevas reformas integrales de las políticas está generando una importante demanda de conocimientos internacionales y asesoramiento sobre políticas en las áreas de interés del programa para China, particularmente lo que tiene que ver con los impuestos a la propiedad y las finanzas municipales. Nuestra idea es comenzar un proyecto piloto de demostración en una o dos ciudades chinas seleccionadas, a fin de generar la capacidad institucional que se requiere para desarrollar un nivel de salud fiscal municipal a largo plazo. Nuestro equipo ha comenzado un estudio para desarrollar una serie de indicadores con el fin de medir la salud fiscal municipal de las ciudades chinas. Es el momento oportuno para que iniciemos este plan en China.

Una versión más actualizada de este artículo está disponible como parte del capítulo 3 del libro Perspectivas urbanas: Temas críticos en políticas de suelo de América Latina.

El impuesto brasileño a la propiedad es un gravamen anual administrado por los gobiernos municipales a los propietarios de edificios y tierras urbanas. Si bien los procedimientos para establecer la base impositiva y las alícuotas varían considerablemente, la base impositiva se deriva del valor en el mercado y se estandariza a través de diferentes autoridades municipales.

En la ciudad de Porto Alegre, el método tradicional empleado para tasar bienes inmuebles para fines impositivos se basa en los costos. No existen requisitos legales referentes a lapsos transcurridos entre las valuaciones, y el último avalúo general se llevó a cabo en 1991. En los años en que no ha habido valuaciones, se ha hecho un reajuste uniforme de la base impositiva según las tasas de inflación imperantes. Las alícuotas del impuesto a la propiedad son progresivas, con tasas móviles para seis niveles de valuaciones catastrales a fin de introducir un elemento de “capacidad de pago” en el sistema. El impuesto se calcula sumando cada porción del valor catastral y multiplicando la suma por la tasa respectiva para dicha clase. La tasa máxima para inmuebles residenciales llega al 1,2 por ciento.

Análisis del sistema actual

Recientemente se realizó un estudio del sistema de tributación inmobiliaria en Porto Alegre con la finalidad de examinar la relación que existe entre los valores catastrales y los valores comerciales. A continuación se resumen algunos resultados del estudio.

Nivel de tasación y uniformidad

Se encontró que la valoración media de apartamentos residenciales en Porto Alegre fue de apenas un 34 % de su valor de venta, un porcentaje mucho menor que el nivel regulativo del 100 %. Al aplicar el coeficiente de dispersión (COD) a la mediana de la relación entre el valor catastral y el precio de venta como medida de la variabilidad, se obtienen resultados que reflejan una baja uniformidad de valuación (36 % aproximadamente). En Brasil no existen normativas municipales ni nacionales para evaluar el rendimiento de las valuaciones catastrales. A modo de comparación, un nivel aceptable de uniformidad para viviendas unifamiliares en los Estados Unidos es un coeficiente del 10 al 15 %. En la fig. 1 se ilustra el amplio margen de desviación de las relaciones de valuación identificadas en este estudio.

Factores determinantes de la falta de uniformidad en las valuaciones

Se creó un modelo multivariante para estudiar los efectos simultáneos de los factores determinantes de las faltas de equidad, tanto verticales como horizontales. De esta manera fue posible identificar un gran número de factores responsables por las diferencias sistemáticas de los niveles de valuación, a saber: características del lugar, calidad de la edificación, año de construcción, presencia de ascensores, y otras variables similares. También se halló regresividad de valuación vertical.

Método de valuación

Podemos aseverar que la causa principal de la falta de uniformidad en las valuaciones es el método de costo utilizado tradicionalmente para adjudicar valores a las propiedades inmobiliarias. Algunas debilidades teóricas del método están relacionadas con la gran cantidad de simplificaciones que las autoridades locales hacen para facilitar su aplicación, y es muy posible que las desigualdades se deban a tales ajustes. Entre algunos de los problemas del método del costo figuran la desvinculación que hay entre las tablas de costos y el rendimiento del mercado de bienes raíces, y la baja correlación que existe entre las tasas de depreciación adoptadas y la reducción del precio debido a la edad, caída en desuso o deterioro de las edificaciones. Otro factor que parece haber contribuido a la alta discrepancia en las valuaciones es la falta de un control sistemático en el rendimiento de las valuaciones.

Intervalos entre valuaciones

Claramente, la reducción de la base impositiva se debe al método utilizado para ajustar las valuaciones inmobiliarias, basado en las tasas inflacionarias existentes para los años en que no hubo valuaciones. Por ejemplo, en 1993 la valoración media de las propiedades fue de un 38 % de su valor comercial, pero sólo un 27 % en 1995.

Comparación entre las tasas de impuestos a la propiedad: efectivas y regulativas

Las tasas para propiedades residenciales son progresivas según seis niveles de valuaciones. El cálculo de la tasa efectiva se obtiene a partir del tributo inmobiliario real (sin considerar la evasión fiscal), dividido por el precio de venta. La tasa regulativa se obtiene a partir del tributo por propiedad que se obtendría si los impuestos fuesen establecidos según el precio de venta, dividido por el precio de venta. La tasa efectiva es mucho más baja que la regulativa, y su mediana representa apenas un 0,17 por ciento del precio de venta. La distribución de la carga de impuestos se ha visto afectada por los métodos impropios de valuación, no sólo por la falta de relación entre los valores catastrales y los comerciales, sino también por la clasificación incorrecta de las propiedades. Durante el período del estudio, el monto del tributo inmobiliario recaudado fue aproximadamente un 25 por ciento de los ingresos que podrían haberse adquirido si los valores catastrales hubiesen sido equivalentes a los comerciales.

Tabla 1: Comparación de las tasas de impuesto a la propiedad efectivas y regulativas

MEDIDA TASA (%)

Efectiva Regulativa

Mediana 0,17 0,75

Coeficiente de dispersión 56,87 18,26

Tasa mínima 0,02 0,29

Tasa máxima 1,18 1,15

Causas de las deficiencias del sistema fiscal sobre la propiedad inmobiliaria

La mala administración de los impuestos a la propiedad en Porto Alegre y su ineficacia como fuente de recursos podrían explicarse por factores históricos. Durante los años setenta, el gobierno central y fortunas privadas transfirieron grandes sumas de dinero a las municipalidades para complementar las recaudaciones al nivel del gobierno municipal. Como resultado, las autoridades no se preocuparon por recaudar sus propios impuestos y los contribuyentes se acostumbraron a pagar sumas insignificantes de impuestos a la propiedad. La tarea de procurar un buen rendimiento en términos de valuaciones y un nivel aceptable de equidad de las valuaciones fue relegada a un plano secundario.

Ahora bien, las crisis financieras en décadas recientes y la necesidad urgente de inversiones públicas en servicios y equipos de infraestructura han forzado a las autoridades locales a mejorar sus sistemas fiscales. Sin embargo, los esfuerzos para incrementar los recaudos y la equidad de las valuaciones provocan malestar general debido a la alta notoriedad de los impuestos a la propiedad y a la falta de aceptación por parte de los contribuyentes. Además, cualquier cambio de la base impositiva debe ser aprobado por los miembros de la Cámara de Concejales elegidos por el municipio. Siempre que se hagan planes para una nueva valuación, los miembros del concejo son responsables por apoyar sistemas que establezcan límites con el fin de proteger a los contribuyentes de bajos recursos o jubilados. No obstante, tales límites favorecen verdaderamente sólo a los sectores de altos recursos puesto que las personas de bajos ingresos o jubiladas pueden recibir descuentos según los ingresos que perciban.

Desde 1991, dos propuestas para alterar la base impositiva de Porto Alegre han sido rechazadas por la Cámara de Concejales debido a que la inflación del momento habría determinado los ajustes sobre los valores estimados de algunas de las propiedades. Sin embargo, la falta de equidad de valuación vertical conduce a que los inmuebles más costosos sean los beneficiados del deficiente sistema fiscal inmobiliario.

Recomendaciones

Para mejorar un sistema tributario es primordial conocer a fondo las fallas del mismo. El análisis llevado a cabo en Porto Alegre ofrece un mayor entendimiento del sistema, así como del grado de falta de equidad de las valuaciones y de sus causas principales. Por primera vez se midieron y cuantificaron las fallas y desventajas del sistema, se identificaron las propiedades beneficiadas del mismo y la cantidad de recaudos desperdiciados. Porto Alegre tiene ahora la oportunidad de mejorar su sistema de recaudación de impuestos inmobiliarios utilizando datos exactos y no por conveniencias políticas.

Varias medidas podrían contribuir a aumentar la equidad general del sistema de valuación, y al mismo tiempo mejorar la recaudación de recursos y el nivel de vida de la comunidad; entre ellas se tienen las siguientes:

• Revaluar las propiedades según los valores comerciales actuales. Se pueden emplear métodos de comparación de ventas a fin de avaluar inmuebles residenciales (métodos tales como valor de regresión múltiple, redes neurales artificiales o modelos de niveles múltiples [modelos de jerarquía lineal]).
• Efectuar un control sistemático de los valores de las propiedades avaluadas, incluyendo el pase de pruebas antes de la divulgación de las listas de valores, a fin de identificar y ajustar las desviaciones de la base impositiva estimada.
• Fijar valuaciones periódicas.
• Hacer ajustes de mercado a las valuaciones, basados en estudios de relación para los años en que no haya avalúos.
• Procurar una transparencia total en la administración de los impuestos a la propiedad, especialmente en lo que se refiere a la graduación de la carga impositiva, en vez de anular arbitrariamente los estimados de los valores comerciales.
• Definir niveles mínimos de rendimiento de las valuaciones, tanto en el ámbito nacional como en el local.

Lograr la equidad de los tributos inmobiliarios y mejorar los niveles de rendimiento de los servicios públicos son metas comunes de políticos, miembros de la comunidad y administradores (entre otros). Se debe aprovechar las nuevas tecnologías para evaluar los impuestos a la propiedad y recolectar datos a fin de procurar el funcionamiento justo y eficiente de los sistemas fiscales. Sin embargo, las mejoras técnicas son sólo una parte del proceso; es también crítico ganar la aceptación del público, y para ello hay que concertar diálogos entre los habitantes de la comunidad y los políticos, donde se expliquen las desventajas del sistema actual y las consecuencias de mantenerlo. Al organizar discusiones serias dentro del dominio público, aumentará la confianza colectiva en el sistema fiscal.

Claudia M. De Cesare es consultora del Departamento de Tributación Local de la municipalidad de Porto Alegre. En 1999 obtuvo una beca de tesis del Instituto Lincoln para financiar la investigación comunicada en este informe y en su tesis de doctorado en la Universidad de Salford en Inglaterra. El Instituto Lincoln continúa desarrollando programas educacionales con administradores, políticos, expertos y miembros de la comunidad de Porto Alegre para ayudar a mejorar la equidad y eficacia del sistema de impuestos a la propiedad.

Public investment in urban areas often results in increased land value that benefits only a small group of private owners. In a pioneering initiative, the city of Porto Alegre, Brazil, is using the property tax as an instrument for capturing land value increments, deterring land speculation and promoting rational urban development.

Economic and Social Context

Porto Alegre is the capital and largest city of Brazil’s southernmost state, Rio Grande do Sul. With a population of 1.5 million inhabitants and approximately 450,000 real estate units in 1994, city officials estimated a shortfall of more than 50,000 residential properties. However, major economic and social problems limited the city’s ability to provide housing for low- and middle-income families.

As in many developing countries with unstable economic cycles, land is a major means of concentrating wealth in Brazilian cities. In Porto Alegre, the existence of large undeveloped sites near the city center contributes to urban sprawl on the periphery. The major factor responsible for this situation is land speculation by wealthy landowners who hold large vacant sites and wait for a favorable moment to undertake investments or to sell their sites at huge profits.

As low-income families are pushed to the periphery, their segregation leads to increased social exclusion and demands for public services. However, the provision of basic infrastructure, such as public transport services on the long routes between the periphery and the commercial, industrial and entertainment centers, requires large investments from the government.

City officals in Porto Alegre had set a primary goal to provide high quality urban services for the outlying community, including basic infrastructure, education, public transport, street cleaning and security services. However, a financial diagnosis of the city’s revenue alerted authorities to the scarcity of resources for such investment. In contrast, many districts in more central areas were well supplied with infrastructure, equipment and services, and they had lower population densities than were called for in the city’s urban development plan.

Speculation was clearly impeding land development, but officials believed the political atmosphere seemed favorable for change. After a period in which government authorities faced chronic inflation in Brazil, an economic stabilization program was introduced in July 1994. Before the economic plan, inflation was running at astonishing annual rates of 7,000 percent. Since the introduction of the plan, average rates of inflation ranged between 0.7 and 1.7 percent a month. When the economy was measured in terms of Gross Domestic Product (GDP), it showed annual positive growth rates since 1993. Local government was confident that the moment was ideal for recovering the investment and productive activities that had been paralyzed during the previous high-inflation period.

In summary, the following factors encouraged Porto Alegre’s initiative to use the property tax as an instrument for simultaneously capturing increased land value, deterring land speculation, and promoting social fairness and economic growth:

• Stimulation of urban land occupation and development, since the private market was not responding positively to the demand from low- and middle-income residents.
• Reduction of the housing shortfall.
• Provision of assistance to low-income families, guaranteeing better living and working opportunities.
• Recovery of land value generated by public investment, by encouraging individuals who had been favored by public investment to return those benefits to the community.
• Avoidance of large additional investments in public infrastructure and services by applying financial resources rationally.

Government Actions

The Brazilian Constitution (1988) defines the property tax as a tax on urban land and buildings and specifies that it can be used as an instrument of urban policy to promote the rational use of land to generate social benefits to the community at large. This provision allowed Porto Alegre to undertake the following actions:

• Define priority urban zones for development and occupation. The process involved the selection of five distinct areas characterized by high-quality urban infrastructure, equipment and services. These areas would support a larger population density without any additional public investment.
• Identify 120 vacant sites ranging from 3,000 to 360,000 square metres (m2) in the priority zones.
• Introduce local legislation requiring the development of the selected properties within given time periods. The law established that if the periods specified for developing the sites were not met the property tax on those sites would be made progressive. The tax rate would be raised by 20 percent increments on an annual basis up to a maximum rate of 30 percent. The basic rates for vacant land vary from 5 to 6 percent of the property market value.
• Grant priority to construction projects on the designated sites. The City Council institutions responsible for planning permits would facilitate construction and occupation.

Effectiveness of the Initiative

The legislation was promulgated at the end of 1993 and the government started to implement it in 1994. The proposal was supported by both ruling and opposition party members of the City Council, which is responsible for approving decisions on matters of municipal legislation.

As of October 1997, the initiative has not yet achieved its desired results. Only five of the 120 vacant sites are being developed. The landowners of 50 properties are paying the property tax at the progressive rate. Three of the properties were removed from the list because they had been incorrectly included in the first place due to inaccurate records about their physical characteristics.

The development status of the remaining 62 properties has not been defined. Some are owned by wealthy and politically powerful landowners who appealed to the Supreme Court against the constitutionality of the measures undertaken by the city government. Indeed, two landowners (A and B) who hold nearly 44 percent of the vacant land are appealing, and other landowners seem to be waiting for the judiciary outcome to make their own decisions. (See chart.)

Evaluating the effectiveness of Porto Alegre’s property tax initiative will be possible only after the judiciary decisions on the matter are pronounced, but other crucial gains derived from the experience have already guaranteed its success. The legislation has generated intense debate at the national and local level regarding political and private rights, property rights and public interest. The experience has also been used as an example to make other government authorities aware of their responsibilities to promote the rational use of urban land.

In Brazil, cultural and economic factors still seem to encourage land speculation rather than productive activities, and the difficulty in establishing boundaries between public interest and private rights is, indeed, complex. However, the pioneering actions undertaken in Porto Alegre represent an important step towards controlling private speculation and promoting responsible urban development. Similar initiatives elsewhere now have a greater potential for becoming effective alternatives to achieve fairness in the distribution of public resources with favorable social benefits to the community.

Claudia M. De Cesare works for the Porto Alegre City Council and is a Ph.D. candidate at the Centre for the Built and Human Environment, University of Salford, England.

For the past several years, the Lincoln Institute has been collaborating with the Loeb Fellowship Program based at Harvard University’s Graduate School of Design. The program was established in 1970 through the generosity of Harvard alumnus John L. Loeb to allow mid-career professionals to study independently and gain additional tools to help revitalize the built and natural environment. The 2001-2002 Loeb Fellows took their end-of-the-year class trip to Cuba in mid-June, including two days in Santiago de Cuba and four in Havana, with a side trip from Havana to Trinidad and destinations in between.

With its neoclassical facades, white cobbles, Caribbean clouds and pastel paint, Trinidad is frozen in time like a watercolor postcard. Because Cuba’s architectural heritage is the focus of growing international attention and it’s not threatened by waves of new construction, the future of the past seems assured. The future itself is much more difficult to find. As our Loeb Fellowship group searched for clues in three cities and parts of the countryside, we found that despite economic stagnation and international political tension Cubans are hard at work on a future that is uniquely theirs.

An influx of tourist dollars and an aggressive, uniquely Cuban preservation campaign have begun to seize the riches of Old Havana from the jaws of benign neglect. After at least one bad experience with new construction, the Office of the City Historian, which coordinates the impressive large-scale restoration and revitalization of Old Havana, is still grappling with the problem of integrating the new with the historic. One way of addressing the problem is to closely oversee the design of block-sized developments. We walked by one large, modern parking structure inside Old Havana that will be rebuilt as a multi-use building, with parking beside it, according to a design intended to replicate the scale and some of the monumental features of a colonial convent that once stood on the site. Although some residents are being relocated here and elsewhere, many are returning to their homes after their neighborhoods are rehabilitated.

Now considered a model for financing rehabilitation efforts in other districts of the city, the renewal of Old Havana is based on a system of taxes and joint ventures that includes revenues from the private enterprises profiting from restoration-related tourism. The Office’s US$50 million-per-year budget is divided between construction and social supports for Cubans living within the boundaries of the rehabilitation zone. This can be thought of as a system of “value capture,” long a topic of interest at the Lincoln Institute.

Julio César Pérez, a Cuban architect, urban designer and advocate for community-based planning, was a member of our Loeb Fellowship class. With his special perspective as a local practitioner, he showed our group some favorite examples among the rich legacy of pre-revolutionary Deco and Modern architecture in Havana. Five-story gems are set among the very mixed cityscape of central Havana, which also includes the 28-story Edificio Focsa, with its 375 apartment units, built in the twilight of the Batista years.

On the heels of the international style housing blocks and casinos of the 1950s, the revolution brought its own form of land use revision. Julio told a story of Che Guevara and Fidel Castro playing a game of congratulatory post-revolution golf on the vast green of the former Havana Country Club. “How can we make good use of this land?” they mused, according to the legend. The results of their conversation are the grandly metaphoric and mostly unfinished National Schools of Art designed by Ricardo Porro, Vittorio Garratti and Roberto Gottardi. Their stance is deliberately indifferent to the clubhouse or the plan of the golf course, treating the open area as if it were a large meadow in the wilderness. The buildings are slated for restoration, a project made more complicated by poor siting and hydrological problems.

Julio also singled out more recent examples of large-scale construction in Havana, such as the Melia Cohiba Hotel with its bulky, corporate arch and the Miramar Trade Center, a commercial (dollar) mall across the street. These expensive projects are not only design failures, but also miss the relationship of the site with the sea and the possibility for creating a new quality of place in a developing district.

With the stalled economy and international stalemate of the 1990s, Cuban architect and planner Miguel Coyula and his colleagues have made use of the time and materials at hand to take a more thoughtful approach to land use and development. While vertical cities of steel and glass are popping up on a fast track and enormous scale in cities around the world, one of the world’s largest scale city models is being built out of discarded cigar boxes in Havana. This breathtaking miniature landscape was conceived as an aid to planning and an anchor for the efforts of the Group for the Integrated Development of the Capital (GDIC), which has been advising the city government on planning matters since 1988.

The 1:1000 model of greater Havana has been evolving piece by fitted piece for most of the last decade, and now covers 112 square meters or about a quarter of a basketball court. The model is housed in a specially designed, daylight-filled pavilion in the Mirarmar area near the center of the city, where drop-in visitors can circulate around and above the model on the broad floor and ramping mezzanine levels. Scale models of virtually every structure in the city are mounted on the wood topographical base. The buildings are color-coded to show development at different stages in history: colonial, pre-revolutionary modern (1900-1958) and post-revolutionary.

Miguel describes one construction project, a high-rise for the Committee for Economic Collaboration (CECE), which was cancelled because the model showed it was clearly out of scale for its location in central Havana. The decision seems to be a milestone because it was a very real project and also symbolic of a determination to build with environmental sensitivity—despite pressures to accommodate foreign investors in cash-strapped Cuba.

The primary mission of the GDIC is intimately familiar to Americans involved in planning inside major cities: start with neighborhoods. The group has run a series of “neighborhood transformation workshops” for local residents guided by professional designers and planners, selected from the same area when possible. These projects capture the spirit of the international community design movement, a 45-year-old, U.S.-linked tradition in which designers work directly in the interest of area residents. Since both the hard times of the post-Soviet 1990s and the U.S. embargo began taking their huge economic toll on Cuba, these workshops have gained in significance. They have brought planning and economic development together in a new local context, with neighborhoods tackling projects like urban farming and manufacturing building materials from recycled rubble.

The neighborhood transformation workshops and similar initiatives over the last 20 years have helped to bridge the Cuban revolutionary imperative of equal treatment for all and the very human imperative of making decisions about family, community and daily life. Another example is Architects for the Community, a national civic sector community design practice involved in town construction and environmental planning as well as low-fee design services for individual families. Built on the theories of Argentinean architect Rodolfo Livingston, the practice promotes a direct relationship between the user and the architect while building sustainability and contextual sensitivity into each construction project. Julio worked with the practice for five years before coming to Harvard and he presented a paper with Kathleen Dorgan, another member of the Loeb class, at the Association of Collegiate Schools of Architecture conference in Cuba last spring. As an advocate for more humane and thoughtful land use and building design in his country, Julio is among a number of Cuban architects concerned with traditional values of craft and environmentally appropriate design.

Considering efforts like these, there is hope for a future of construction based on a fine calibration of scale, carefully considered relationships between built fabric and natural features of the surroundings, as well as the comfort and pleasure of the users. The challenge is to find the economic and regulatory means to support appropriate construction. So far, the state has maintained control of land use through direct and almost exclusive ownership, negotiating leases for some private and foreign investment through a delicate and extremely tenuous web of economic and legal formulas for valuing the parcels involved. As the economy becomes tied to the influx of outside currencies, these leases are likely to evolve into more predictable and transparent transactions. Perhaps land sales and heftier taxation are not far behind.

With the coming of foreign investment and the pressures to open up to even more, there will be ample opportunity in the future to be hijacked by land use decisions that are driven by the profit margins of distant organizations, and that would be an unfortunate addition to Cuba’s historic burden. Because, despite the beauty of its landscapes and cityscapes, Cuba is a map of victimization—by colonial conquest, crass economic exploitation, revolutionary confrontation, and brutal Soviet-style development.

The Loeb Fellows got an overview of intense nationalism built upon a deep and diverse culture, cosmopolitan history and the very real achievements of the last 40 years. Cuba is a place of great hardship and also enormous potential, for Cubans and for the rest of the world. We hope that the future does not hold only exploitation and cultural degradation when the barriers to trade and international travel finally fall. We also hope to show that Cuba is a place to learn from the mistakes of the past—theirs and ours—and to find out what is possible when a people are free to protect, respect and enhance their environment.

For more information about the Loeb Fellowship Program, see the website at www.gsd.harvard.edu/loebfell.

Loeb Fellows, 2001-2002

Kathleen Dorgan
Architect and community designer, Storrs, Connecticut

Clair Enlow
Journalist, Seattle

Kathleen Fox
Director, Ohio Arts and Sports Facilities Commission, Columbus.

James Grauley
President, Bank of America’s Community Development Corporation, Atlanta

Seitu Jones
Public artist, Minneapolis

Rick Lowe
Public artist and founder, Project Rowe Houses, Houston

Rubén Martínez
Writer, Los Angeles, and professor of non-fiction writing, University of Houston

Julio César Pérez
Architect, urban planner and professor, Faculty of Architecture, Havana

Virginia Prescott
Radio journalist and interactive media specialist, National Public Radio, New York and Boston

Richard St. John
Director, Conversations for the Common Wealth, Pittsburgh

Marina Stankovic
Architect, Berlin

Recent court decisions have made economic development and tax policy front-page news. The recent U.S. Supreme Court decision in Kelo v. City of New London raised a public outcry when it allowed local governments dramatic latitude in acquiring private property for economic development purposes. This case had a fiscal aspect as well, for it illustrated how financial pressures can lead local governments to seek alternatives to direct investment for economic revitalization and redevelopment.

Economic development was also the focus of a major lower court decision on state tax policy. In Cuno v. DaimlerChrysler, the 6th Circuit Court of Appeals found that Ohio’s investment tax credit, intended to attract businesses from other states, violated the Commerce Clause of the U.S. Constitution (Hellerstein 2005). These and other, similar cases raise many questions about the connections between economic development and tax policy.

Is there a relationship between economic development and infrastructure spending?

Infrastructure, that vast network of capital-intensive services including roads, water provision, sewer services, and electrical supply, is critical to current and future economic activity. However, serious economic examination of the link between infrastructure spending and economic productivity only began in the late 1980s. Aschauer (1989, 194–197) argued that declining infrastructure spending resulted in less economic growth. More recently, Bougheas et al. (2000, 520) reported findings that “highlight the importance of infrastructure accumulation” for productivity gains.

Other researchers have pointed out that the most significant recent changes in infrastructure spending have occurred at the state and local levels, rather than the federal level. Gramlich (1994, 1178) argued that federal infrastructure spending has been fairly consistent over time, but state and local spending has decreased. Holtz-Eakin (1993) cautioned that while public expenditures on infrastructure may be important, they may not directly affect economic productivity. He argued that differing state and local needs may account for many infrastructure spending disparities, and that maintenance of existing infrastructure assets may be more important than new spending for capital acquisition. Boarnet (1997) considered efficient pricing for infrastructure use as important as its actual provision.

Nevertheless, the American Society for Civil Engineers (ASCE) is sufficiently concerned about the condition of infrastructure in the U.S. to assign it a grade of “D.” ASCE (2005) argues that the country needs to spend about $1.6 trillion over the next five years to improve the situation.

What is the relationship between infrastructure spending and local tax systems?

The mechanisms for funding infrastructure and its role in state and local spending are complex. Research in this area deals with such topics as fiscal illusion (i.e., when the complexity of the revenue system obscures the true cost of public goods and services) and specific capital financing strategies used to fund infrastructure. However, there has been little research on the impact of local tax structures on infrastructure spending.

Economists have long argued that the value of publicly provided goods and services, such as infrastructure and its maintenance, are reflected in the value of the property served by those goods. Accordingly, a tax that captures the value of these public goods and services may be an important revenue source for funding them. However, in the last 30 years, local governments have moved away from such a tax, the property tax, to other sources of revenue. In many communities, this shift has produced an increased reliance on state aid, local sales tax revenues, and user fees.

In analyzing infrastructure spending in Utah, it is clear that the local revenue structure affects per capita operating and maintenance spending and new capital acquisition expenditures. Preliminary analysis indicates that communities are more likely to increase per capita infrastructure spending when it is financed by property taxes, all other funding sources held constant. It also appears that as per capita sales tax revenue increases, per capita spending for infrastructure services declines.

How constrained are local revenue systems?

One reason that local government revenue structures affect spending on infrastructure is that the states impose various constraints on local revenue sources. Although the past ten years have seen no dramatic changes in the roles of the property tax, intergovernmental aid, or the sales tax in overall local government revenues, the ratio of total revenues to personal income has fallen about 7.5 percent. This real decline highlights the increasing pressure on local governments to identify new revenue sources.

Yet, local governments face serious constraints when they seek to change their revenue systems. States impose intergovernmental restrictions, such as limits on sales tax rates that localities can impose. Less tangible but equally important is political opposition to tax increases. The third factor is the set of tax and expenditure limitations that many states have enacted, ranging from Proposition 13 in California in 1978 to the more recent taxpayer bill of rights enacted in Colorado, which drastically limited increases in government spending.

These constraints have forced local governments to become more innovative in their revenue-raising methods. An entire cottage industry of financial advisors, bond attorneys, and other public and private sector innovators has emerged to help local governments find ways of loosening or circumventing these limitations. Some strategies may have increased economic efficiency, although they give rise to equity concerns (for example, the movement toward the increased use of fees and charges); others are nearly invisible to the taxpayer. In nearly all cases, local governments have been seeking to use land as a revenue-generating device—a trend that shows no sign of abating.

What are alternative ways to finance capital infrastructure?

Two types of debt traditionally have financed infrastructure projects: general obligation (GO) bonds, backed by the full faith and credit of the issuing locality; and revenue bonds, backed by income from the capital project. Both types of debt have significant restrictions on their use, such as voter approval requirements and caps on maximum indebtedness. These debt limitations, the difficulty in raising property taxes, and the fear of political opposition have increased the use of alternative capital finance methods based on land use.

One longstanding method, tax increment financing (TIF), utilizes the increases in property value to help finance redevelopment projects. Originally designed as a financial instrument to eliminate blight and provide affordable housing, this instrument has become increasingly popular in many states for a variety of projects. Forty-seven states and the District of Columbia now allow this technique.

Capturing the property tax increment attributable to government-sponsored redevelopment in order to service this debt makes economic sense if the new development would not have occurred without the formation of the tax district. Moreover, this debt does not have to be approved by voters, but rather by a group designated by the city government. Not even these two factors explain the extraordinary recent growth in the number and size of TIF districts, however, raising suspicion that this tool may be used more often to attract and subsidize economic growth than to eliminate blight. For example, in 2003–2004, California had 33 TIF redevelopment projects, each of which covered more than 6,000 acres, a surprisingly large area to be declared “blighted” in any one jurisdiction (see Figure 1).

Another popular tool in several states is the community facilities district (CFD), which usually funds new development. Landowners within a region form a CFD to issue debt to finance the infrastructure needed to develop raw land. District members’ votes are typically a function of the amount of property each landowner holds. The local government must approve CFDs, although they are not a formal part of the government and their debt issuance is not subject to approval by the general public.

A lien for CFD assessments is placed on each lot in the district, and the CFD tax liability appears on the property tax bill of each district member as a separate line item. Variations of this technique may utilize sales taxes, impact fees, and user charges. Many rapidly growing local governments encourage the formation of these districts to help finance their community’s growth. Nevertheless, CFDs can be very complex, and may fail if anticipated growth does not occur (see Figure 2).

TIFs, CFDs, and other such techniques present an ethical dilemma to local government. Sometimes they are not fully understood by the political decision makers who authorize their use, let alone by members of the general public who will bear the burden of paying this debt in the future. Yet they remain a popular tool to finance crucial infrastructure that is basic to improving the economic well-being of the community.

Could a land tax help finance infrastructure for economic development?

The land component of property value is another potential source of revenue to encourage economic development. Since the supply of land is fixed in the short run, an increase in a land tax will not affect the tax base. However, it will encourage more intensive use of the land and may slow urban sprawl. Unfortunately, the lack of empirical data makes it difficult to determine if this theory is accurate. One example in the U.S. is the City of Pittsburgh, which in 1979–1980 restructured the tax on land to be five times that on improvements. Building activity showed a dramatic increase, although other factors may have contributed to the change as well (Oates and Schwab 1997). Pittsburgh later returned to a single-rate property tax system.

Increased use of a land tax poses significant problems. In particular, accurately assessing land can be challenging, although statistical and econometric techniques may help address this in the future. A second concern is that more intensive use of land value taxation will lead to denser development, exacerbating many of the problems associated with congestion. These effects must be weighed against the positive benefits of reducing long-distance commuting. A third problem concerns equity. Owners whose property has a high land/improvement ratio will face an increased tax liability. This shift might be mitigated by adjustments in the tax rate, special exemptions or targeted tax credits.

A land tax has the important advantages of transparency and accountability. In particular, if land value increases because of government activities, there is strong justification for recovering at least some of those costs through a tax on the land component. We would even propose a name for this additional tax—a positive externality tax (PET). We recognize that, like any proposed increase in the property tax, such a shift would be politically controversial.

Conclusions

Our current research analyzes relationships among economic development, infrastructure, and the tax system. The fiscal problems of local jurisdictions are made more complex by the use of intricate methods of infrastructure financing, such as TIFs and CFDs, to fund economic development. The use of financing mechanisms based on a land tax may be one part of a potential response to this challenge.

Jeffrey Chapman is professor and director of the School of Public Affairs at Arizona State University in Tempe. He specializes in state and local finance and administration of financial resources, and has recently published in the area of local land use responses to fiscal stress.

Rex L. Facer II is assistant professor of public management at the Romney Institute of Public Management of the Marriott School of Management at Brigham Young University in Provo, Utah. He specializes in city management, public finance, public management strategy, and public policy analysis.

Faculty profile of Ming Zhang

Municipalities around the country face a daunting fiscal crisis. Federal stimulus assistance has expired, and many states have made significant cuts in aid to municipalities. Meanwhile property values have declined 31 percent since their 2006 peak according to the S&P/Case-Shiller national home price index.

It will take several years to know how this historic decline will affect property tax revenues, because changes in property tax bills significantly lag changes in market values. However, cities faced declines in general fund revenues of 2.5 percent in 2009, and approximately 3.2 percent declines in 2010 (Hoene 2009; Hoene and Pagano 2010). Municipal responses to revenue shortfalls have included making cuts to personnel (71 percent of cities), delaying or cancelling capital projects (68 percent), and making across the board cuts (35 percent) (McFarland 2010).

To avoid further cuts, municipalities will need to raise additional revenues. But with anti-tax sentiment running high, many cities and towns may try to avoid raising tax rates and look instead to increased reliance on fees and other alternative revenue sources. One alternative that has attracted the attention of many local officials recently is payments in lieu of taxes (PILOTs) by nonprofit organizations.

PILOTs are voluntary payments made by tax-exempt nonprofits as a substitute for property taxes. These payments typically result from negotiations between local government officials and individual nonprofits, but the exact arrangements vary widely. PILOTs can be formal, long-term contracts, routine annual payments, or irregular one-time payments. The payments can go into a municipality’s general fund, or be directed to a specific project or program. PILOTs are most frequently made by hospitals, colleges, and universities, but also by nonprofit retirement homes, low-income housing facilities, cultural institutions, fitness centers, and churches. Some such payments are not even called PILOTs, but are know as “voluntary contributions” or “service fees.”

Since 2000, PILOTs have been used in at least 117 municipalities in at least 18 states (Kenyon and Langley 2010). These payments are concentrated in the Northeast, and especially in Massachusetts where they have been made in 82 out of 351 municipalities (figure 1). It is hard to make definitive statements about trends in the use of PILOTs, because there is no comprehensive source that tracks them, but press accounts suggest growing interest in PILOTs since the early 1990s, with a noticeable uptick in recent years. Major multiyear agreements have recently been reached in Pittsburgh and Baltimore; commissions have studied PILOTs in Boston, New Orleans, and Providence; and many smaller municipalities have reached new agreements with local charities.

The Revenue Potential of PILOTs

The revenue potential of PILOTs varies across municipalities because of large differences in the impact of the charitable property tax exemption on their tax bases. Figure 2 shows that in 23 large U.S. cities the value of tax-exempt nonprofit property as a share of total property value ranged from 10.8 percent in Philadelphia to 1.9 percent in Memphis and El Paso. Similarly, a fiscal year 2003 study of 351 municipalities in Massachusetts found that if the tax exemption for charitable and educational nonprofits were removed, these organizations would account for more than 10 percent of the property tax levy in 18 municipalities and between 2.5 and 10 percent in another 68, but less than 1 percent of the tax levy in 179 municipalities (McArdle and Demirai 2004).

Since nonprofit property tends to be highly concentrated in a relatively small number of municipalities, especially central cities and college towns, PILOTs have the potential to be a very important revenue source for some municipalities, even if they are unlikely to play a significant role in financing local government in the majority of cities and towns. Table 1 looks at PILOTs in ten municipalities where they rarely account for more than 1 percent of total revenues, but the dollar figures are often significant.

The impact of the charitable property tax exemption on municipal budgets also depends on the degree of reliance on property taxes as a revenue source. Local governments with a heavier reliance on sales and excise taxes, user fees, or state aid are in a better position to deal with forgone property tax revenues through those other sources.

Collaboration on PILOT Agreements

In seeking PILOT agreements, local officials sometimes resort to adversarial pressure tactics, which can backfire and jeopardize important relationships between municipalities and nonprofits. A more collaborative approach is usually more successful when local officials work to build genuine support among nonprofits for a PILOT program that is rooted in shared interests and mutual dependence for each other’s long-term success.

Many large nonprofits like hospitals and universities are quite immobile, and other smaller nonprofits may be committed to serving their local communities even if they could relocate with relative ease. The long-term success of these organizations depends on the municipality’s success. Because population loss, crime, and crumbling infrastructure can imperil a nonprofit’s future, having a local government with the capacity to provide quality public services is in its own self-interest.

Similarly, nonprofits are often major employers and provide services and activities that attract people to a city and improve the quality of life for local residents. Thus, the success of these organizations is also crucial for a municipality’s future. Even if the nonprofits are tax-exempt, their presence can significantly expand the local tax base by attracting businesses and homeowners.

Recognition of these shared interests by both sides is crucial to reaching sustainable PILOT agreements. Private conversations between high-ranking municipal and nonprofit officials can help break down barriers that sometimes block PILOTs. To make the case for PILOTs, municipalities often appeal to the nonprofits’ sense of fairness and community responsibility—arguing that it is fair for nonprofits to pay for the cost of public services they consume, and that a contribution will directly benefit the community.

These conversations should also touch on what the nonprofits need for their future success. In practice, municipalities are often most successful in obtaining PILOTs when nonprofits need something from the local government, such as building permits or zoning changes. The quid pro quo nature of these agreements is often viewed negatively—as a form of extortion or special treatment. However, accommodating these requests is often in a municipality’s own interest.

For major nonprofit development projects, a shortened approval process with less red tape can cut overall costs significantly, and such discussions can result in more creative arrangements. For example, as part of a 20-year PILOT agreement with Clark University, the City of Worcester, Massachusetts agreed to work with the university to convert a short section of a street into a pedestrian area.

When local officials use more aggressive tactics to obtain PILOTs, such as trying to shame nonprofits into making payments or threatening to challenge their tax-exempt status in court, the organizations may become defensive and less willing to cooperate. Charitable nonprofits have a strong record of defending their property tax exemptions, so such divisive tactics are likely to leave a municipality with no PILOT, potentially significant legal fees, and a damaged reputation.

Problems with PILOTs

PILOTs have the potential to provide crucial revenue for municipalities with large nonprofit sectors, but there are many problems with these payments compared to more conventional taxes and fees.

First, at the same time that municipalities face a fiscal crisis caused by the recession, nonprofits face their own fiscal crisis due to declining endowment values and donations. In addition, government contracts—a major funding source for health and human service nonprofits—were cut, and some government entities are delaying contracts or payments. A 2009 survey found that 80 percent of nonprofit organizations were experiencing fiscal stress in the wake of the recession (Center for Civil Society Studies 2009). To nonprofits facing uncertain financial futures, it appears unfair for local governments to begin requesting PILOTs at this time (National Council of Nonprofits 2010).

Second, some degree of horizontal and vertical inequity in PILOT programs is almost inevitable, because their voluntary nature means there is no way to ensure that nonprofits with similar property values make comparable PILOTs. For example, even with Boston’s long-standing PILOT program, the four largest universities in the city made very different contributions in fiscal year 2009. Boston University paid $4,892,138 (8.53 percent of what it would pay in property taxes if taxable); Harvard University paid $1,996,977 (4.99 percent); Boston College paid $293,251 (1.92 percent); and Northeastern University paid only $30,571 (0.08 percent).

Third, PILOTs are a limited and frequently unreliable revenue source, rarely accounting for more than 1 percent of total revenues. This limited revenue potential must be weighed against some potentially significant costs associated with reaching PILOT agreements, such as upfront administrative costs, time spent by high-ranking officials negotiating agreements, or costs to obtain accurate assessments of exempt properties. PILOTs can also be an unreliable revenue source from one year to the next if they rely on short-term agreements.

Finally, the process used to reach PILOT agreements is often contentious and secretive, with contributions determined in an ad hoc manner lacking objective criteria. A collaborative approach can make PILOT requests less controversial, but reliance on private conversations also makes the process less transparent.

Systematic Programs to Mitigate Problems

Many of these problems with PILOTs can be mitigated if municipalities set up a systematic program that does not rely solely on case-by-case negotiation, especially for municipalities with a large number of nonprofits. A framework that applies to all organizations can provide guidance and bring consistency to the negotiations with individual nonprofits. The recommendations of Boston’s PILOT Task Force provide a concrete example (box 1).

Baltimore, Maryland: The city reached a $20 million six-year PILOT agreement with hospitals and universities in June 2010, with $5.4 million to be paid in each of the first two years. In return, the city dropped a proposed $350 fee per dorm and hospital bed, and protected hospitals and universities from increases in telecommunications and energy tax rates over the next six years (Walker and Scharper 2010).

Boston, Massachusetts: Beginning in January 2009, a task force of representatives from nonprofits, city government, business, labor, and the community met with a goal of making the city’s existing PILOT program more consistent. The final report has recommendations on key features of a systematic PILOT program: only nonprofits with property values exceeding a $15 million threshold are included in the program; the target PILOT for each institution is equal to 25 percent of what it would pay in property taxes, because roughly one-quarter of the city’s budget is devoted to core public services that benefit nonprofits; assessed value is used as a basis for the payments; and guidelines determine which types of services will count for community benefit offsets (City of Boston 2010).

New Orleans, Louisiana: A Tax Fairness Commission has been tasked with recommending changes to make the city’s tax system fairer and to broaden the tax base. While the commission may consider PILOTs, it is particularly interested in narrowing the nonprofit property tax exemption (Nolan 2011). Louisiana has a very broad charitable exemption compared to most states, with all properties owned by eligible institutions exempt from taxation regardless of use, including those not typically tax-exempt such as fraternal organizations, labor unions, and trade associations (Bureau of Government Research 1999).

Providence, Rhode Island: The mayor and city council members sought to increase the amount of PILOTs from the city’s four colleges and universities, but the Commission to Study Tax-Exempt Institutions (2010) recommended against renegotiating the 20-year $48 million PILOT agreement reached in 2003. Instead the commission recommended that the city should focus on forming partnerships with local nonprofits to foster economic growth, and the state should provide full funding of its PILOT program and provide Providence with a share of new income and sales tax revenues that result from nonprofit expansion.

Municipalities interested in establishing a systematic PILOT program should consider the following features.

Use a threshold level of property value or annual revenues to determine which nonprofits to include in the PILOT program. Excluding from PILOT requests certain types of nonprofits, such as religious organizations or small social service providers, may be a popular notion, but it can result in arbitrarily targeting some nonprofits while ignoring others. A more systematic policy with a threshold approach is easy to administer and will exclude only those nonprofits that do not meet the financial threshold to make significant contributions, rather than favor some organizations based on the nature of their activities.

Set a target for contributions that is justified. Instead of reaching an arbitrary dollar figure in negotiations, a target that applies to all nonprofits in the program can reduce horizontal inequities and may raise more revenue by creating the expectation for a certain contribution. For example, the target can be justified by estimating the cost of local public services that directly benefit nonprofits, such as police and fire protection and street maintenance.

Use a basis to calculate suggested payments. Using a basis with the rate set to reach the target contribution will also promote consistency. The fairest basis is the assessed value of exempt property, because the PILOT request will be proportional to the tax savings each organization receives from the property tax exemption. However, municipalities that want to avoid having to accurately assess tax-exempt properties can use another basis, such as the square footage of property or the organization’s annual revenues.

Include community benefit offsets, so nonprofits can reduce their target cash PILOTs in return for providing certain public services for local residents. Charitable nonprofits are typically more willing to provide in-kind services than to make PILOTs, and are well positioned to leverage their existing expertise and resources to provide needed services. For example, nonprofit hospitals can set up free health clinics, and universities can establish after-school tutoring programs. Local officials should be clear and consistent about which services are most needed by local residents and will count for community benefit offsets, and should rely on nonprofits to estimate the cash value of these donated in-kind services.

Reach long-term PILOT agreements. Both municipalities and nonprofits are better off with a long-term approach that allows them to build predictable payments into their respective budgets. Additionally, because PILOT requests can require considerable time to negotiate, both parties will benefit from reaching an agreement and then moving on to focus on their primary missions and perhaps other partnerships to serve the community. Several municipalities have 20- or 30-year PILOT agreements in place.

Alternatives to PILOTs

Given some of the common problems with PILOTs, municipalities with large nonprofit sectors that face revenue shortfalls may want to consider alternative revenue-raising measures.

Increase reliance on traditional user fees or special assessments. This alternative may be the most palatable in the current anti-tax climate. One consideration favoring this option is that nonprofits are typically not exempt from these charges, so increasing reliance on such sources will obtain revenue from a broad group of entities, including tax-exempt nonprofits. For example, a municipality could finance garbage collection through a fee instead of the property tax, or use special assessments to pay for sewer hookups in new subdivisions.

Establish municipal service fees. Some municipalities have carved out specific services that are normally funded through property taxes and instead charged nonprofits a fee for the service. These fees may or may not be assessed solely against tax-exempt nonprofits, and they often use a basis for the payments related to the size of the property rather than the assessed value. For example, Rochester, New York, has a local works charge to fund snowplowing and street repair. It is applied to both taxable and tax-exempt organizations using the property’s street frontage as the basis. Minneapolis, Minnesota, has a street maintenance fee that also uses square footage as the basis, but is only charged to nongovernmental tax-exempt properties.

Develop agreements for needed services. Local officials can decide not to pursue cash PILOTs, but instead develop formal partnerships with nonprofits to provide specific services for local residents or work together to foster economic development. Direct provision of needed services, sometimes known as services in lieu of taxes or SILOTs, will help the fiscal situation of the municipality in the short run, while joint efforts to foster economic development can have significant long-run benefits.

Expand the tax options for municipalities. This final alternative would require a change in state law in many instances. Some municipalities across the country have the ability to levy sales taxes, special excise taxes such as hotel taxes, income taxes, or payroll taxes. But most cities in the Northeast do not have these alternative tax sources, and are especially reliant on the property tax, which can be problematic if the tax-exempt sector is large or growing rapidly.

Conclusion

PILOTs have the potential to provide crucial revenue for municipalities that have a significant share of total property value owned by tax-exempt nonprofits, both as a stop-gap in the current municipal fiscal crisis and in the future. However, PILOTs rarely account for more than 1 or 2 percent of municipal revenues, so expecting these payments to eliminate local government deficits is unrealistic. Furthermore, singling out nonprofits to help address a municipal fiscal crisis is unfair since they face their own challenges due to the recent recession.

Local officials who do want to pursue PILOT agreements must tread carefully if they want to avoid some common pitfalls. First, PILOT requests can be highly contentious when local officials resort to heavy-handed pressure tactics to reach agreements. It is preferable for local officials to work collaboratively with nonprofit leaders to craft PILOT agreements that serve their mutual interests. Second, the voluntary nature of PILOTs limits the revenue potential of these agreements, results in inconsistent treatment of nonprofits, and leads to other problems. Municipalities with a large number of nonprofits can mitigate these problems by establishing a systematic PILOT program to provide guidance and bring consistency to their negotiations with individual nonprofits.

About the Authors

Daphne A. Kenyon is a visiting fellow in the Lincoln Institute’s Department of Valuation and Taxation and principal of D. A. Kenyon & Associates, Windham, New Hampshire.

Adam H. Langley is a research analyst in the Lincoln Institute’s Department of Valuation and Taxation and a master’s student in economics at Boston University.

References

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