Subsidizing Gentrification: A Spatial Analysis of Place-Based Tax Incentives

Michelle D. Layser
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引用次数: 1

Abstract

Place-based tax incentives, such as the New Markets Tax Credit (NMTC) and Opportunity Zones incentives, are often used to promote investment in low-income neighborhoods. However, not all low-income neighborhoods have an equal need for investment subsidies. Subsidies for investment in already gentrifying neighborhoods, for example, may reflect inefficient inframarginal investment, and they may lead to inequitable outcomes. Critics fear that when gentrifying neighborhoods are eligible for tax incentives, they will draw investment away from the neighborhoods that need it most. However, few studies have provided empirical analysis to assess whether these concerns have merit. Through a novel geospatial analysis of the location patterns of tax-subsidized projects, this Article provides new evidence that critics’ concerns are justified. This Article analyzes 15 years of NMTC data to explore the location patterns of tax-subsidized projects in 20 U.S. cities. It employs two spatial analysis methods, quadrat density analysis and negative binomial regression analysis, to describe the location patterns of NMTC projects and their relationship to two variables known to correlate with gentrification: high vacancy rates and increasing rental rates. The quadrat density analysis reveals that, in most cities, NMTC project density is highest in eligible census tracts that had high vacancy rates, increasing rents, or both. The results of the negative binomial regression analysis confirmed that, in many cities, high vacancy rates or rent increases were statistically significant predictors of NMTC investment. Together, these results provide new evidence that gentrifying census tracts may draw tax-subsidized investment away from other eligible areas. They also suggest that a commonly proposed Opportunity Zones reform—to add statutory safeguards modeled after those in the NMTC—would fail to prevent tax-subsidized investment in places that are already gentrifying. The observed spatial patterns reflect inefficient allocations, limit the NMTC program’s ability to promote equitable change, and cast doubt about whether federal regulators can effectively shape program outcomes. Opportunity Zones are likely to have similarly inefficient and inequitable outcomes. Therefore, this Article argues that statutory and administrative reforms are necessary to reduce the frequency at which tax incentives are used to subsidize investment in neighborhoods that are already gentrifying. This study has profound implications for the $5 billion per year federal NMTC program, the $3.5 billion per year federal Opportunity Zones program, and state-level tax incentives modeled after these federal tax laws.
补贴中产阶级化:基于地的税收激励的空间分析
基于地方的税收激励措施,如新市场税收抵免(NMTC)和机会区激励措施,通常用于促进对低收入社区的投资。然而,并非所有低收入社区对投资补贴的需求都是一样的。例如,对已经中产阶级化的社区的投资补贴可能反映了低效的超边际投资,并可能导致不公平的结果。批评人士担心,当中产阶级化的社区有资格享受税收优惠时,他们会从最需要投资的社区吸引投资。然而,很少有研究提供实证分析来评估这些担忧是否有价值。通过对税收补贴项目区位模式的地理空间分析,本文提供了新的证据,证明批评者的担忧是合理的。本文分析了NMTC 15年的数据,探讨了美国20个城市的税收补贴项目的区位模式。它采用两种空间分析方法,即样方密度分析和负二项回归分析,来描述NMTC项目的位置模式及其与两个已知与高档化相关的变量的关系:高空置率和不断上涨的租金。样方密度分析显示,在大多数城市中,NMTC项目密度最高的是具有高空置率、租金上涨或两者兼而有之的合格人口普查区。负二项回归分析的结果证实,在许多城市,高空置率或租金上涨是NMTC投资的统计显著预测因素。总之,这些结果提供了新的证据,表明人口普查区的中产阶级化可能会从其他符合条件的地区吸引税收补贴的投资。他们还建议,一项被普遍提议的机会区改革——效仿nmtc的做法,增加法定保障措施——将无法阻止税收补贴投资进入已经在士绅化的地区。观察到的空间格局反映了低效的分配,限制了NMTC项目促进公平变化的能力,并对联邦监管机构是否能有效地塑造项目结果产生了怀疑。机会区也可能产生同样低效和不公平的结果。因此,本文认为,有必要进行法律和行政改革,以减少税收优惠用于补贴已经在士绅化的社区投资的频率。这项研究对每年50亿美元的联邦NMTC计划、每年35亿美元的联邦机会区计划以及以这些联邦税法为模型的州一级税收激励具有深远的影响。
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