资源科学 ›› 2017, Vol. 39 ›› Issue (7): 1326-1337.doi: 10.18402/resci.2017.07.10

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中国省域工业生态效率及影响因素的空间计量分析

卢燕群(), 袁鹏()   

  1. 西南财经大学工商管理学院,成都 611130
  • 收稿日期:2016-09-20 修回日期:2017-01-05 出版日期:2017-07-20 发布日期:2017-07-20
  • 作者简介:

    作者简介:卢燕群,女,四川宜宾人,博士生,主要研究方向为产业发展理论与政策。E-mail:luyanqun666@163.com

  • 基金资助:
    国家自然科学基金(71203018);中央高校基金项目(JBK160110);中央高校基金项目(JBK1607036)

Measurement and spatial econometrics analysis of provincial industrial ecological efficiency in China

Yanqun LU(), Peng YUAN()   

  1. School of Business Administration,Southwest University of Finance Economics,Chengdu 611130,China
  • Received:2016-09-20 Revised:2017-01-05 Online:2017-07-20 Published:2017-07-20

摘要:

本文采用VRS_DEA模型测算了2005-2014年间中国30个省域的工业生态效率,并在此基础上采用空间计量模型检验其影响因素。测算结果表明:研究期间,中国大部分省域的工业生态效率呈现波动上升的趋势,省际差异明显,呈现出自西向东逐渐增强的空间发展格局。实证检验发现:工业发展和科技创新对工业生态效率具有正向促进作用;而环境规制、对外开放与财政分权的影响显著为负;产业集聚与工业生态效率呈现“倒U”型关系;由于高污染行业所带来的污染排放与经济效益并存,导致工业结构对工业生态效率的影响不显著,但并不能由此忽略工业结构变化带来的环境污染问题。此外,在空间交互作用方面,工业生态效率的空间滞后项系数显著为正,表明地方政府可能在环境治理方面具有互相借鉴与模仿的行为;工业发展水平的二次项具有正向的空间溢出效应;财政分权与工业结构的空间溢出效应显著为负;产业集聚的空间滞后项与工业生态效率呈现“正U”型关系,因此对相邻地区工业生态效率的影响呈现先抑制后提升的关系。

关键词: 工业生态效率, 数据包络模型, 空间效应, 空间计量

Abstract:

The VRS_DEA model was used to estimate industrial ecological efficiency for China's 30 provinces from 2005 to 2014. A spatial econometrics model was also used to test the influencing factors. We found that the industrial ecological efficiency of most provinces shows a trend of increasing fluctuation,and differences between the provinces are obvious. The spatial development pattern was one from western provinces to eastern provinces. Improvement in industrial development levels is beneficial to industrial ecological efficiency,and the capability of scientific and technological innovation have positive effects on industrial ecological efficiency. Environmental regulation,opening to the outside world and fiscal decentralization have significant negative effects on industrial ecological efficiency. Industrial agglomeration and industrial ecological efficiency follow an inverted U type relationship. Because of the co-existence of pollution emissions and economic benefits,the impact of industrial structure on industrial ecological efficiency is not significant,but the environmental pollution caused by change in industrial structure cannot be neglected. In addition,the spatial lag effect of industrial ecological efficiency is positive,indicating that local governments may learn from and imitate each other in environmental governance. The spatial lag effect of quadratic terms of industrial development is positive,while the spatial lag of fiscal decentralization is negative,and the spatial spillover effects of industrial structure are negative. The spatial lag of industrial agglomeration and industrial ecological efficiency follow a positive U type relationship,the effect on industrial ecological efficiency in adjacent areas was first inhibited and then promoted.

Key words: industrial ecological efficiency, VRS_DEA, space effects, spatial econometrics