农村负担得起的租赁住房:量化需求,回顾最近的联邦支持,并评估农村地区低收入住房税收抵免的使用

Andrew Dumont
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引用次数: 2

摘要

最近,人们对美国各地的高租金成本负担非常感兴趣。这些研究大多集中在较大城市地区或国家一级的租金成本负担上,而没有探讨城市和农村社区租金成本负担普遍程度的差异。在本文中,我发现租金成本负担是城市和农村社区共同面临的挑战。然而,尽管确定了农村社区对负担得起的租赁住房的需求,但我发现联邦政府用于应对这一挑战的资源数量相对于近期历史而言处于低点。我对联邦资源可用性的分析还发现,低收入住房税收抵免(LIHTC)计划一直是城市和农村社区发展和保护经济适用房的重要而有弹性的工具。国会授权了LIHTC项目的大部分工作?因此,各州在向特定项目分配轻型碳化物时,可以选择许多优先考虑的因素。于是,我探索了每一个州。S合格的分配计划,以确定具体因素是否使农村地区更有可能获得公平的份额?根据农村地区相对于非农村地区的需要分配的低收入农村医疗补助。我的分析没有确定一个特定的因素或一组因素系统地增加或减少分配的可能性与一个州的相对需求成比例?美国农村社区。然而,我确实确定了一些因素,它们的设计似乎对特定类型的项目或项目地点获得拨款的可能性产生积极或消极的影响。对行业利益相关者的采访证实,许多这些因素正在影响开发商的决策,并可能无意中使更小、更偏远的农村项目处于不利地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rural Affordable Rental Housing: Quantifying Need, Reviewing Recent Federal Support, and Assessing the Use of Low Income Housing Tax Credits in Rural Areas
Recently, there has been significant interest in the high levels of rental cost burden being experienced across the United States. Much of this scholarship has focused on rental cost burdens in larger urban areas, or at the national level, and has not explored differences in the prevalence of rental cost burden in urban versus rural communities. In this paper, I find that rental cost burdens are a challenge facing both urban and rural communities. However, despite the need for affordable rental housing in rural communities identified, I find the amount of resources made available by the federal government to address this challenge are at a low point relative to recent history. My analysis of federal resource availability also finds one program has been an important and resilient tool for the development and preservation of affordable housing in urban and rural communities: the Low Income Housing Tax Credit (LIHTC) program. Congress delegated much of the LIHTC program?s implementation to the states, whereby states choose many of the factors to prioritize when allocating LIHTCs to specific projects. Therefore, I explored each state?s qualified allocation plan to identify whether specific factors make it more or less likely rural areas will receive a ?fair share? of LIHTC allocations based on their need relative to non-rural areas. My analysis did not identify a specific factor or set of factors that systematically increased or decreased the likelihood of allocations being proportionate to the relative needs of a state?s rural communities. However, I did identify a number of factors that by their very design appeared to affect positively or negatively the likelihood that specific types of projects or project locations would receive allocations. Interviews with industry stakeholders confirmed that many of these factors are affecting developer decisions and may be unintentionally disadvantaging smaller, more remote rural projects.
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