世界经济 ›› 2019, Vol. 42 ›› Issue (4): 123-148.

• • 上一篇    下一篇

城市空间结构与劳动者工资收入

刘修岩1, 秦蒙2, 李松林3   

  1. 1. 东南大学经济管理学院;
    2. 山东财经大学经济学院;
    3. 南京财经大学江苏产业发展研究院
  • 出版日期:2019-04-10 发布日期:2019-04-19
  • 通讯作者: 秦蒙(通讯作者):电子信箱:qinmeng_student@126.com E-mail:qinmeng_student@126.com
  • 作者简介:刘修岩:电子信箱:lxiuyan320@seu.edu.cn;李松林:电子信箱:lslseu@163.com
  • 基金资助:
    国家社科基金重点项目"中国经济转型中城镇体系规模分布的形成机制与经济影响研究"(18AJL011)的资助

Urban Spatial Structure and Labour Income

Liu Xiuyan1, Qin Meng2, Li Songlin3   

  • Online:2019-04-10 Published:2019-04-19

摘要: 本文探讨了城市规模、密度与形态等空间结构因素对劳动者工资收入影响的理论机制,并借助夜间灯光数据和LandScan人口分布数据,设计了3组城市内部距离指标以刻画城市空间形态,进而结合中国家庭金融调查数据,使用两阶段工具变量法检验了城市人口规模、密度和空间形态等对劳动者工资收入的影响强度。研究发现,在控制劳动者个人特征后,城市规模越大,密度越高,劳动者获得的工资收入就越高,证明城市聚集的规模和密度都有正外部性;与此同时,"劣质"的城市形态会显著降低劳动者工资收入,说明城市形态也是影响城市空间外部性的一个重要维度。此外,在不同类型的产业之间,城市形态和密度的影响存在一定的异质性,而适当降低城市密度以及完善公路基础设施可以缓解劣质城市形态对劳动者工资收入的负面影响。

关键词: 城市密度, 空间形态, 城市规模, 工资收入

Abstract: Based on the general equilibrium model, this document analyses the theoretical mechanism of influence of the factors associated with the urban spatial structure, such as the size, density and geometric shape of the cities, on the labour income of the workers. Using DMSP night-time light data and LandScan population distribution data, three urban distance indicators are calculated to quantify the city geometric shape and urban sprawl indices are measured in order to illustrate the urban spatial structure. CHFS (China Household Finance Survey) data from household surveys are also used to investigate how the city shape affects individual wages with method IV. When individual characteristics are controlled, we find that a larger population size and a higher density are conducive to higher labour incomes due to agglomeration advantages, while a "worse" city shape is significantly correlated with lower wages, suggesting that the city shape influences urban agglomeration and the mechanisms through TFP of firms prevails. Further discussion shows that urban density matters less for those working in the secondary sector, while the adverse effect of poor urban geometry can be alleviated in cities with a lower density and in those with a larger extension of highways per capita.

Key words: urban density, geometric shape, city size, labour income