Housing bubbles and land planning corruption: evidence from Spain’s largest municipalities

IF 2.5 3区 经济学 Q2 ECONOMICS
Antonios M. Koumpias, J. Martínez-Vázquez, Eduardo Sanz‐Arcega
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Abstract

Purpose The purpose of this paper is to quantify to what extent the housing bubble in the early-to-mid 2000s in Spain exacerbated land planning corruption among Spain’s largest municipalities. Design/methodology/approach The authors exploit plausibly exogenous variation in housing prices induced by changes in local mortgage market conditions; namely, the rapid expansion of savings banks (Cajas de Ahorros). Accounting for electoral competition in the 2003–2007 and 2007–2009 electoral cycles among Spanish municipalities larger than 25,000 inhabitants, the authors estimate a positive relationship between housing prices and land planning corruption in municipalities with variation in savings bank establishments using instrumental variables techniques. Findings A 1% increase in housing prices leads to a 3.9% points increase in the probability of land planning corruption. Moreover, absolute majority governments (not needing other parties’ support) are more susceptible to the incidence of corruption than non-majority ones. Two policy implications to address corruption emerge: enhance electoral competition and increase scrutiny over land planning decisions in sparsely populated. Originality/value First empirical evidence of a formal link between the 2000s housing bubble in Spain and land planning corruption.
住房泡沫和土地规划腐败:来自西班牙最大城市的证据
本文的目的是量化西班牙2000年代早期到中期的房地产泡沫在多大程度上加剧了西班牙最大城市的土地规划腐败。设计/方法/方法作者利用了由当地抵押贷款市场条件变化引起的房价的似是而非的外生变化;即储蓄银行(Cajas de Ahorros)的迅速扩张。考虑到2003-2007年和2007-2009年西班牙超过25,000居民的城市选举周期中的选举竞争,作者使用工具变量技术估计,随着储蓄银行机构的变化,城市房价和土地规划腐败之间存在正相关关系。房价每上涨1%,土地规划腐败的可能性就会增加3.9%。此外,绝对多数政府(不需要其他政党的支持)比非多数政府更容易发生腐败。解决腐败问题的两项政策启示是:加强选举竞争,加强对人口稀少地区土地规划决策的审查。独创性/价值西班牙2000年代的房地产泡沫与土地规划腐败之间存在正式联系的首个实证证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Economic Analysis
Applied Economic Analysis Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
3.50
自引率
4.30%
发文量
5
审稿时长
8 weeks
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