生态效率、城镇化与空间溢出——基于空间面板杜宾模型的研究

摘要/Abstract

摘要：

如何解决中国城镇化进程中的环境污染问题是有关城镇化是否健康持续发展的重要问题。为探究城镇化进程中的生态效率水平及城镇化与生态效率的作用机制，本研究采用超效率DEA和空间计量的方法对中国2003-2012年30个省份的生态效率进行测算，并对生态效率和城镇化的关系进行了实证分析。研究表明，城镇化与生态效率呈现较强的负相关关系，并且对邻近区域产生负的溢出效应，城镇化每提高1%，平均空间溢出效应为-0.485%。排污费的征收对改善环境质量并没有起到明显的作用。城镇化对生态效率的溢出效应主要通过产业结构和技术水平来实现的，产业结构优化和技术水平对生态效率具有较强的空间溢出效应。因此中国在制定城镇化发展战略的时候要以调整产业结构和提升技术水平为着力点，同时建立区域之间的有效沟通和合作机制，优化污染企业的空间布局。

关键词: 生态效率, 城镇化, 空间溢出效应, 空间杜宾模型

Abstract:

How to solve the problem of environmental pollution in China's urbanization is one of the key issues that bear heavily on the healthy and sustainable development of urbanization. To explore the eco-efficiency in the process of the urbanization and the mechanism of urbanization and eco-efficiency, this paper calculates the eco-efficiency of 30 provinces in China from 2003 to 2012 by using the super efficiency DEA and analyzes internal mechanism of eco-efficiency and urbanization by building Spatial Panel Durbin Model. The empiri-cal results show that there is a strong negative correlation between urbanization and eco-efficiency and a negative spillover effect to other regions. When urbanization increases 1%, the average total spatial spillover effect is -0.485%. The model also proves that there is little effect of sewage charges to improve the quality of the environment. The spillover effect of urbanization on eco-efficiency is reflected mainly through the industrial structure optimization and the technology improvement. Therefore, China should adjust industrial structure and in-crease technological investment when making plans of urbanization development strategy. Meanwhile China also should establish effective communication and cooperation mechanism between different regions and optimize spatial distribution of polluting enterprises.

Key words: eco-efficiency, urbanization, spatial spillover effects, spatial Durbin model

陈真玲. 生态效率、城镇化与空间溢出——基于空间面板杜宾模型的研究[J]. , 2016, 28(11): 66-74.

Chen Zhenling. Eco-efficiency, Urbanization and Spillover Effects——Based on Spatial Panel Durbin Model[J]. , 2016, 28(11): 66-74.

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