地方政府干预、土地市场与中国城镇化：来自地级城市的证据
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| Title | Local Government Intervention, Land Market and Urbanization: Evidence from Prefectural-level Cites in China
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| 作者 | 范剑勇 莫家伟 张吉鹏 |
| Author | Fan Jianyong,Mo Jiawei and Zhang Jipeng |
| 作者单位 | 复旦大学经济学院；南阳理工大学 |
| Organization | FUDAN University; Nanyang Technological University, Singapore |
| 作者Email | jyfan0393@163.com, jianyongfan@fudan.edu.cn，mojiawei423@hotmail.com |
| 中文关键词 | 土地管制 空间均衡 动态城镇发展 |
| Key Words | Land Regulation; Spatial Equilibrium; Dynamic Urban Development |
| 内容提要 | 如何解释地方政府在中国快速的城镇化与经济发展过程中所扮演的积极角色？本文在城乡二元土地结构背景下将地方政府在土地市场上的干预行为理解为制度性的土地管制，建立了适合解释中国城镇动态发展的空间均衡模型。实证发现：1）地方政府在招商引资过程中低价供应工业用地的行为促进了城市人口与工资的增长，对房价增长没有稳定的显著影响；减少商住用地供应面积的行为抬高了城市房价水平，但是对人口与工资的增长无显著影响；2）外部生产率冲击推动的管制水平高的城市房价上涨速度快于管制水平低的城市，但是没有强力的证据显示外部生产率冲击对不同管制水平的城市间工资增长、人口增长的影响存在显著差异。上述发现有别于西方传统空间均衡模型所揭示的结论与发现，同时为理解中国近十多年来快速城镇化与高速经济增长提供了一个窗口。 |
| Abstract | How to illustrate the critical role that local governments play in the process of China’s fast urbanization and economic development? Based on China’s dual land market institution, this paper investigates local government intervention in the land market which we call it “institutional land regulation”, and modifies the classical spatial equilibrium model to explain China’s urbanization. Our empirical evidence suggests that (1) the behavior of offering industrial land in low price increases the growth of population and wage level, but has no significant impact on growth of housing price. However, the behavior of providing less quantity of residential land increases the growth of housing price but has no significant effect on population and wage level; (2) the growth of housing price in cities with higher level land regulation is faster than that in cities with less land regulation, and there is no significant difference in the growth of population and wage in different cities with different level of land regulation. Our findings help us better understand China’s fast urbanization and economic development. |
| 文章编号 | WP695 |
| 登载时间 | 2014-09-11 |
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