地理科学 ›› 2021, Vol. 41 ›› Issue (11): 1959-1968.doi: 10.13249/j.cnki.sgs.2021.11.009

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基于随机前沿分析的环境规制效率异质性研究

徐维祥(), 徐志雄(), 刘程军   

  1. 浙江工业大学经济学院,浙江 杭州 310023
  • 收稿日期:2020-02-23 修回日期:2021-06-19 出版日期:2021-11-10 发布日期:2022-01-24
  • 通讯作者: 徐志雄 E-mail:xwq02@163.com;2109684275@qq.com
  • 作者简介:徐维祥(1963-),男,浙江东阳人,教授,博导,主要研究方向为区域经济与可持续发展。E-mail: xwq02@163.com
  • 基金资助:
    国家社会科学基金重大项目(18ZDA045)

Heterogeneity Analysis of Environmental Regulation Efficiency Based on SFA

Xu Weixiang(), Xu Zhixiong(), Liu Chengjun   

  1. School of Economics, Zhejiang University of Technology, Hangzhou 310023, Zhejiang, China
  • Received:2020-02-23 Revised:2021-06-19 Online:2021-11-10 Published:2022-01-24
  • Contact: Xu Zhixiong E-mail:xwq02@163.com;2109684275@qq.com
  • Supported by:
    Major Program of National Social Science Foundation of China(18ZDA045)

摘要:

采用随机前沿分析(SFA)模型考察了2003—2017年中国省际环境规制效率及其技术无效率项的影响因素,并借助核密度估计、热点分析及收敛模型对全国和三大地区环境规制效率的时空差异性与区域收敛性进行了探讨。结果表明:①全国整体以及中、西部地区劳动要素产出弹性系数明显大于资本要素,东部地区反之;②科技创新、产业结构、对外开放与环境规制效率呈显著的正相关,人力资本、能源消费及人口密度则对其产生抑制作用;③各区域效率值稳步提升中伴随着离散程度加大、极化迹象明显的趋势,空间上呈现出稳定的“东热西冷”分布格局;④全国与西部地区环境规制效率存在σ收敛,而东中部地区内部差异有扩大的态势,但所有区域相对β收敛与绝对β收敛现象显著。

关键词: 环境规制效率, 异质性, 收敛性, 随机前沿分析

Abstract:

With the green GDP as the output variable, the total number of environmental protection system personnel and the environmental pollution control investment capital stock as the input factors, this article constructs a stochastic frontier analysis model to examine the environmental regulation efficiency and its influencing factors nationwide from 2003 to 2017; nuclear density estimation method and convergence model are also used to explore the spatial differences and regional convergence of environmental regulation efficiency. The results show that: 1) The elasticity coefficient of labor factor in the national, central, western regions is significantly larger than that in the capital, while the eastern region is the opposite, which is closely related to the professional demographic dividend and the type of pollutant discharge; 2) Technological innovation, industrial structure and opening up contribute to the improvement of environmental regulation efficiency, human capital, energy consumption, population density have an inhibitory effect on it; 3) The steady increase of efficiency values in each region is accompanied by a trend of increasing dispersion and obvious signs of polarization, meanwhile, the spatial distribution of its hotpots and coldpots is always on the pattern of “hot in the east and cold in the west”; 4) There exits σ convergence in the mainland of China and western regions, while the internal difference of environmental regulation efficiency in both central and eastern regions will widen to some extent. All of the regions show the significant absolute βconvergence and conditional β convergence, meaning that the differences can gradually convergence to their own steady state.

Key words: environmental regulation efficiency, heterogeneity, convergence, Stochastic Frontier Analysis

中图分类号: 

  • F062.2