政治治理与城市体系:中国古代迁都对人口分布的持续冲击

IF 3.5 2区 经济学 Q1 ECONOMICS Regional Science and Urban Economics Pub Date : 2024-06-07 DOI:10.1016/j.regsciurbeco.2024.104034
Ming Lu , Haijun Ou , Yuejun Zhong
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引用次数: 0

摘要

本文利用一个准自然实验,即公元 1421 年明朝在中国古代从南京迁都到北京的外生冲击,来研究政治治理与城市系统之间的关系。我们构建了一个独特的历史面板数据集,该数据集测量了跨世纪的中国县域人口分布。利用差分识别策略,我们的研究结果表明,迁都后,各地与当时新建立的首都北京的距离对当地人口数量的影响变为显著的负效应。而且,这些效应在下一个朝代和现代中国依然存在。此外,研究结果表明,迁都对人口分布的影响是通过政治治理的两个主要渠道产生的:传递和国家安全。通过多种识别策略和稳健性检验,证明迁都与人口分布之间的因果关系是稳健的。
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Political governance and urban systems: A persistent shock on population distribution from capital relocation in ancient China

This paper exploits a quasi-natural experiment with the exogenous shock of capital relocation in ancient China from Nanjing to Beijing in 1421 CE during the Ming Dynasty, to investigate the relationship between political governance and urban systems. We constructed a unique historical panel dataset that measures population distributions among Chinese counties spanning over centuries. Using a difference-in-differences identification strategy, our results reveal that after the capital relocation, the effect of localities' distance to Beijing, the newly established capital at that time, on local population size turns to be significantly negative. Moreover, these effects still persisted in the next dynasty and modern China. Furthermore, the results indicate that the impact of the capital relocation on population distribution occur through two major channels of political governance: delivery and national security. The causal relationship between capital relocation and population distribution is demonstrated to be robust using a variety of identification strategies and robustness checks.

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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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