Public Goods, and Nested Subnational Units: Diversity, Segregation, or Hierarchy?

N. Bharathi, D. Malghan, S. Mishra, Andaleeb Rahman
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引用次数: 5

Abstract

We develop a general multi-scale diversity framework to account for spatial segregation of hierarchically-ordered ethnic groups residing in politically and administratively nested geographic aggregations. We explicate how ethnic diversity, ethnic segregation, and ethnic hierarchy interact with the "public goods catchment area" to cast doubt on extant hypotheses linking diversity and public goods provisioning. We not only show how the celebrated "diversity debit" relationship is incomplete at best but also call into question the more recent literature that posits a positive association between ethnic segregation and public goods. We test our framework using a large national census dataset containing ethnicity information (aggregate caste categories) for 830 million rural residents in India. Our nested-geography models use data from villages (n 600; 000) and sub-districts containing these villages (n 6; 000) for twenty-five different public goods. We show how not accounting for the spatial structure of diversity, segregation, and hierarchy result in biased empirical models of diversity and public goods. To the best of our knowledge, the empirical evidence in this paper comes from the largest dataset used in the politics of public goods literature.
公共产品和嵌套的次国家单位:多样性、隔离还是等级?
我们开发了一个通用的多尺度多样性框架,以解释居住在政治和行政上嵌套的地理聚集中的等级有序的种族群体的空间隔离。我们解释了种族多样性、种族隔离和种族等级如何与“公共产品集水区”相互作用,从而对现有的将多样性与公共产品供应联系起来的假设提出质疑。我们不仅展示了著名的“多样性负债”关系充其量是不完整的,而且还对最近假设种族隔离与公共产品之间存在积极联系的文献提出了质疑。我们使用包含印度8.3亿农村居民的种族信息(总种姓类别)的大型全国人口普查数据集来测试我们的框架。我们的嵌套地理模型使用来自村庄的数据(n 600;000)和包含这些村庄的分区(6个;25种不同的公共物品。我们展示了不考虑多样性、隔离和等级的空间结构如何导致多样性和公共产品的有偏见的经验模型。据我们所知,本文中的经验证据来自公共物品政治学文献中使用的最大数据集。
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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