贵州财经大学学报

›› 2016 ›› Issue (04): 94-102.

• 贫困与发展 • 上一篇    下一篇

要素禀赋对中国地区经济发展影响的统计分析——基于30个省市的面板数据分位数回归

马立平, 张鹏, 胡佩   

  1. 首都经济贸易大学, 北京 100871
  • 收稿日期:2016-03-15 出版日期:2016-07-15 发布日期:2016-07-21
  • 作者简介:马立平(1963—),女,首都经济贸易大学统计学院教授,经济学博士,研究方向为经济统计;张鹏(1992—),女,首都经济贸易大学统计学院硕士研究生,研究方向为经济统计;胡佩(1992—),女,首都经济贸易大学统计学院硕士研究生,研究方向为经济统计。
  • 基金资助:

    本文受"北京市高等学校高层次人才引进与培养计划项目（CIT&TCD20130331）"项目的资助；受首都经济贸易大学科研创新重点项目资助。

Statistical analysis of the impact of regional factor endowments on China's economic development - Based on 30 provinces panel data quantile regression

MA Li-ping, ZHANG Peng, HU Pei   

  1. Capital University of Economics and Business, Beijiang 100871, China
  • Received:2016-03-15 Online:2016-07-15 Published:2016-07-21

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摘要： 将环境作为一种要素纳入生产函数，以各省市2006—2013年的面板数据为样本建立分位数回归模型，研究了在低碳经济背景下中国地区要素禀赋对经济发展影响的地区差异。结果表明，劳动力、实物资本及环境投入是影响经济发展的主要因素，而人力资本由于尚未满足经济市场的需求并没有像我们预期的那样显著促进经济增长。经济相对落后地区，加大实物资本投入，带动产业升级是促进经济增长最有效手段；经济发展中位地区，劳动和实物资本投入均能明显拉动经济；经济相对发达地区，实物资本投入作用减弱，市场对于创新技术和人才的需求是经济继续增长的动力。

关键词: 要素禀赋, 经济发展, 分位数回归, 面板数据

Abstract: This paper views environment as an element of production function and establishes a quantile regression model based on the 2006—2013 panel data. Under the background of low-carbon economy, we study the regional difference of the impact of factor endowments on China's economic development. The results show that labor force, physical capital and environmental investment are the main factors of economic growth, however, human capital doesn't as we expected significantly promote economic growth because it has not met the economic market needs. In the areas where economy is relatively backward, increasing physical capital investments and promoting industrial upgrading are the most effective ways to drive its economic growth. In the areas where economy is in the middle level, labor force and physical capital investment could remarkably boost the economy. In the areas where economy is relatively developed, the function of physical capital investment is weakened. The market demands of innovative technology and talents are the new driving power of sustained economic growth.

Key words: factor endowment, economic development, quantile regression, panel data

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