摘要
基于我国2000—2016年的相关数据,采用Dagum基尼系数分解方法对我国区域需求结构的地区差距进行分解分析。研究发现,从空间分布来看,我国区域需求结构水平的地区差距有扩大的趋势,且地区间差距是导致我国区域需求结构水平差异的主要原因。其次,运用空间面板分位数计量模型,实证检验了需求结构变动对环境污染治理的影响。研究发现:环境治理技术效率和环境治理动态绩效存在空间依赖作用;需求结构越合理、需求结构越高级、经济发展水平越高,其对环境治理技术效率、环境治理动态绩效的正向作用越显著;需求结构合理化集群越高、需求结构高级化集群越高,其对环境治理技术效率的积极影响越明显,而经济集聚则对环境治理技术效率和环境治理动态绩效产生显著的负向作用。
Based on the relevant data from 2000 to 2016 in China,the paper uses the Dagum Gini Coefficient decomposition method to decompose the regional disparity of China’s regional demand structure. The study finds that the regional disparities in China’s regional demand structure is widening,and are the main reasons leading to differences in the latter. Secondly,by using the spatial panel quantile econometric model,the paper empirically tests the effect of the change in demand structure on the environmental pollution control.The study finds that there is spatial dependence between the technical efficiency and the dynamic performance of environmental pollution control;the more reasonable and more advanced the demand structure and economic development are,the more significant this positive effect on the technical efficiency and the dynamic performance of environmental pollution control is. The more rationalized and advanced the clusters of demand structure are,the greater their positive effects are on the technical efficiency of environmental pollution control. In contrast,the economic agglomeration has a significantly negative effect on the technical efficiency and the dynamic performance of environmental pollution control.
作者
毛军
李子豪
MAO Jun;LI Zi-hao(School of Mathematics and Statistics,Hainan Normal University,Haikou 571158,China;School of International Economics and Business,Henan University of Economics and Law,Zhengzhou 450046,China)
出处
《经济经纬》
CSSCI
北大核心
2019年第1期134-141,共8页
Economic Survey
基金
海南省自然科学基金项目(118MS042)
海南省高等学校教育教学改革研究项目(Hnjg2018ZD-10)
关键词
需求结构合理化
需求结构高级化
环境污染治理
Dagum基尼系数
空间面板分位数
Demand Structure Rationalization
Demand Structure Upgrading
Environmental Pollution Control
Dagum Gini Coefficient
Spatial Panel Quantile Econometric Model
