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城市空间结构与地区经济效率——兼论中国城镇化发展道路的模式选择

发布时间:2019-05-18 03:33
【摘要】:什么样的空间结构更有利于地区经济效率的提升?其效应在不同地理尺度上是否存在差异?本文运用校正后的夜间灯光数据度量了地区经济效率,并对城市内部、市域以及省域3个地理尺度上的城市空间结构进行了测度,进而考察了城市空间结构对经济效率的影响及其尺度差异。研究发现,在城市内部和市域等较小的地理尺度上,单中心的空间结构能够提高城市经济效率,而在省域这一较大的地理尺度上,多中心的空间结构更能促进本地经济效率的提升。上述发现对Glaeser等(2015)提出的"中国到底应选择单中心巨型城市,还是多中心城市网络占主导的发展模式"这一问题给予了经验回答。其政策启示是,在城市层面上,应强调要素的空间集聚,坚持空间紧凑式发展模式,而在全国或省域层面上,则应更多地发展多中心城市网络,以形成分布合理的城市体系。
[Abstract]:What kind of spatial structure is more conducive to the improvement of regional economic efficiency? Is there any difference in the effect on different geographical scales? In this paper, the corrected night lighting data are used to measure the regional economic efficiency, and the urban spatial structure on the three geographical scales of the city, the city and the province is measured. Then the influence of urban spatial structure on economic efficiency and its scale difference are investigated. It is found that the spatial structure of a single center can improve the economic efficiency of the city on a small geographical scale, such as the interior of the city and the region of the city, while on the larger geographical scale of the province, the spatial structure of the single center can improve the economic efficiency of the city. Multi-center spatial structure can promote the efficiency of local economy. The above findings give an empirical answer to the question put forward by Glaeser et al. (2015): "whether China should choose a single-center mega-city or a multi-center city network-dominated development model". The policy enlightenment is that at the urban level, the spatial agglomeration of elements should be emphasized and the spatial compact development model should be adhered to, while at the national or provincial level, more multi-center urban networks should be developed in order to form a reasonably distributed urban system.
【作者单位】: 东南大学经济管理学院;
【基金】:国家社科基金重大招标项目“新型城镇化背景下城市边界调整与城市综合承载力提升路径研究”(14&ZD138)、国家社科基金一般项目“转型背景下我国城市蔓延的形成机理与经济效率影响研究”(15BJL107) 国家自然科学基金青年项目“基于实物期权视角的我国新型城镇化下农地非农化驱动机制与趋势模拟研究”(71403048) 江苏省社科研究基地项目(13JDB024) 中央高校基本科研业务费专项资金(2242014R30015)的资助
【分类号】:C912.81;F299.21


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