金融集聚、本地需求规模与地区工资差异——基于中国地级及以上城市面板数据的实证分析  

Financial Agglomeration, Local Demand Scale and Regional Wage Differences: An Empirical Analysis of the Panel Data from China's Cities of and above Prefecture Level

作　　者：王晶晶[1] 岳中刚[1] 

机构地区：[1]南京邮电大学经济学院,江苏南京210046

出　　处：《当代财经》2016年第3期87-95,共9页Contemporary Finance and Economics

基　　金：国家自然科学基金项目"国内市场诱致;逆向研发外包与企业创新能力研究"(71302168);南京邮电大学人才引进基金项目"服务业FDI的溢出机制研究"(NYY214003);全国统计科学研究项目"新常态下中国新兴服务业全要素生产率测度及异质性研究"(2015211)

摘　　要：结合新经济地理学理论构建了金融集聚、本地需求规模对地区工资差距影响的分析框架。基于固定效应模型以及分位数回归方法,采用2004-2011年中国地级及以上城市的面板数据对其进行了实证检验。实证研究结果表明:第一,金融集聚对地区工资水平的影响显著为正,但随着经济发展水平的提升,其正向促进作用逐步减弱;第二,本地需求规模可显著促进地区工资水平;第三,分位数回归结果显示,随着分位点的提高,金融集聚对地区工资差异的影响逐步提高,金融集聚程度的提高对高工资与中等工资地区的影响显著,且高工资地区的受益程度最高。With the help of the theory of the new economic geograph y（NEG）, this paper constructs an analytic framework of the impact of financial agglomeration and local demand scale on the regional wage differences. Based on the fixed effect model and with the quantile regression method, it makes use of the panel data of China＇s cities of and above prefecture level from 2004 to 2011 to carry out an empirical test. The results indicate that, firstly, the financial agglomeration has significantly positive effects on regional wage level, but with the improvement of economic development, its positive effect is gradually weakening; secondly, the scale of local demand can significantly promote the regional wage level; thirdly, the results of quantile regression show that with the increase of quantile, the impact of financial agglomeration on regional wage differentials is increasing gradually.The increase of financial concentration will have significant influence on the regions with higher wages and medium wages, and the regions with higher wages can benefit most.

关 键 词：金融集聚 本地需求规模 工资差异 分位数回归 

分 类 号：F269.23[经济管理—国民经济]