浙江农业学报

• 农业经济与发展 • 上一篇    下一篇

长三角县域居民收入差距演变趋势 ——基于核密度估计的分析

  

  1. (1南昌大学 理学院,江西 南昌 330031;2南昌大学 计量经济研究会,江西 南昌 330031;3南昌大学 经济与管理学院,江西 南昌 330031;4中国科学院 南京地理与湖泊研究所,江苏 南京 210008)
  • 出版日期:2015-03-25 发布日期:2015-03-31

Evolutionary tendency and income gap of county residents in Yangtze River Delta: Based on Kernel density estimation method

  1. (1 School of Science, Nanchang University, Nanchang 330031, China; 2 Econometric Research Institute, Nanchang University, Nanchang 330031, China; 3 Economics and Management School, Nanchang University, Nanchang 330031, China; 4 Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China)
  • Online:2015-03-25 Published:2015-03-31

摘要: 以长三角74个县域单元1991—2011年的数据为研究对象,运用密度函数核估计法,对城镇居民人均可支配收入和农村居民人均纯收入进行了非参数估计,并在此基础上,分析了长三角县域居民城乡收入差距及其演变趋势。结果表明:长三角县域居民城乡收入均在逐年提高,然而,无论是城市还是农村,高低收入者之间的收入差距均不断扩大,同时,城镇居民高低收入者之间的收入差距明显大于农村居民高低收入者之间的收入差距。此外,城乡居民收入差距也在不断扩大,收入分布两极分化与城乡居民收入巨大差距将成为阻碍长三角经济发展的重要原因之一。因此,亟待采取相应措施来减缓收入分布两极分化现象,缩小城乡收入差距。

关键词: 密度函数核估计, 非参数估计, 收入分布密度曲线, 城乡收入差距, 长三角

Abstract: Using the estimation of kernel density method, the article focused on the data of 74 counties in Yangtze River Delta from 1991 to 2011, and estimated the per capita disposable income of urban residents and the per capita net income of rural residents by nonparametric method, and on this basis, we analyzed the evolutionary tendency and income gap of county residents in Yangtze River Delta. The results proved that both the urban and rural incomes of county residents in Yangtze River Delta increased year by year. Nevertheless, whether in urban or rural areas, the income gap between high and low earners was increasing. At the same time, the income gap between high and low earners in urban residents was significantly greater than the rural residents. In addition, the income gap between the urban and rural residents was also increasing. The polarization of income distribution and the huge income gap between urban and rural residents will become one of the important reasons hindering the economy development of the Yangtze River Delta. In consequence, its necessary to adopt some measures to slow down the polarization of income distribution and narrow the income gap between urban and rural areas.

Key words: Kernel density estimation, nonparametric estimation, income distribution density curve, urban\, rural income gap, Yangtze River Delta