The diversity we breath: Community diversity and gas leak management

IF 3.5 2区 经济学 Q1 ECONOMICS Regional Science and Urban Economics Pub Date : 2024-06-25 DOI:10.1016/j.regsciurbeco.2024.104037
Felipe Jordán , Enrico Di Gregorio
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Abstract

Diversity might reduce the ability of small-scale communities to protect local resources through its adverse impact on collective action and individual attachment. Using geocoded data on more than 1500 Grade-3 gas leaks in 2016 across Boston and Cambridge, MA, we show that when a leak emerges in a narrowly-defined area with higher ethno-racial fractionalization it enjoys lower chances of end-year reparation. After accounting for socio-economic and infrastructural factors, our preferred estimate suggests that moving from the 10th to the 90th percentile of the fractionalization distribution is associated to a 5.7 percentage point decrease in the probability of reparation, compared with an already low average of 3.7%. This result is robust to different definitions of the community surrounding a leak and to the inclusion of competing measures of diversity. Consistent with our framework, social capital appears to be especially lower in communities fragmented across ethno-racial lines. In turn, lower social capital is negatively associated to leak reparation.

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我们呼吸的多样性社区多样性与气体泄漏管理
多样性可能会对集体行动和个人依附性产生不利影响,从而削弱小规模社区保护当地资源的能力。通过使用 2016 年马萨诸塞州波士顿和剑桥市 1500 多起三级天然气泄漏事故的地理编码数据,我们发现,当泄漏事故发生在民族-种族分化程度较高的狭义区域时,其最终得到赔偿的几率较低。在考虑了社会经济和基础设施因素后,我们的首选估计结果表明,从分化分布的第 10 个百分位数到第 90 个百分位数,赔偿概率下降了 5.7 个百分点,而平均值已经很低,仅为 3.7%。这一结果在泄漏点周边社区的不同定义以及纳入竞争性多样性衡量标准的情况下都是稳健的。与我们的框架一致的是,社会资本似乎在跨民族-种族分裂的社区中特别低。反过来,较低的社会资本与漏水事故的赔偿也呈负相关。
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来源期刊
CiteScore
5.30
自引率
9.70%
发文量
63
期刊介绍: Regional Science and Urban Economics facilitates and encourages high-quality scholarship on important issues in regional and urban economics. It publishes significant contributions that are theoretical or empirical, positive or normative. It solicits original papers with a spatial dimension that can be of interest to economists. Empirical papers studying causal mechanisms are expected to propose a convincing identification strategy.
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