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城市基础设施水平如何影响居民工资收入:溢价还是折价
引用本文:郑丹,Tatsuaki Kuroda.城市基础设施水平如何影响居民工资收入:溢价还是折价[J].南方经济,2017,36(1):66-85.
作者姓名:郑丹  Tatsuaki Kuroda
作者单位:1. 中国科学院大学经济与管理学院, 北京 100090; 2. 名古屋大学环境学研究科, 日本 名古屋 464-8601
基金项目:本研究得到教育部留学回国人员科研启动基金资助项目“基础设施在城市发展中的作用”、国家自然科学基金项目“环境规制政策对产业空间分布的影响研究:基于环境便利性的视角(批准号:71503241)”和中国科学院大学青年教师启动基金的资助。
摘    要:已有文献多从宏观视角上考察基础设施的经济增长效应,文章则从微观视角出发,探讨城市基础设施影响居民收入的微观机制并对其进行实证检验。文章将“中国家庭收入调查(CHIP)”数据与城市特征数据相结合,将城市土地出让收入变动作为城市基础设施的工具变量,通过2SLS方法估计了基础设施水平对居民工资收入的影响。结果表明:基础设施水平对城市居民工资收入具有溢价作用。城市居民名义工资在基础设施水平高的城市更高。基础设施水平对工资收入的溢价作用受居民教育异质性的影响,居民教育水平越高,基础设施水平的溢价作用越大。

关 键 词:城市基础设施  工资收入  教育异质性  2SLS  

How Urban Infrastructure influence Individual Wage Income: Premium or Discount
Zheng Dan,Tatsuaki Kuroda.How Urban Infrastructure influence Individual Wage Income: Premium or Discount[J].South China journal of Economy,2017,36(1):66-85.
Authors:Zheng Dan  Tatsuaki Kuroda
Abstract:Existing studies of infrastructure primarily focus on the impact of infrastructure on urban growth. By comparison, this paper investigates how urban infrastructure influences individual wage income. Combining micro-level data of CHIP-2002, CHIP-2007 and macro-level data of city characteristics, this paper adopts 2SLS method to estimate the impact of urban infrastructure on individual wage income. In particular, the change of urban land revenue is adopted as instrument variable of urban infrastructure. After controlling for the influences of urban living cost and population size, the estimation results confirm the existence of wage premium effect of urban infrastructure. It is found that wages are higher in cities with higher level of infrastructure. It is also found that the wage premium effect of urban infrastructure varies with individual's education level. The higher the level of education, the larger the effect of wage premium. The estimation results are robust to various tests of endogeneity and sample selection bias.
Keywords:Urban Infrastructure  Education Heterogeneity  Wage Income  2SLS  
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