中国区域环境绩效动态差异及影响因素——考虑可变规模报酬和技术异质性的研究

发布时间：2018-04-08 20:14

本文选题：环境绩效　切入点：非期望产出　出处：《资源科学》2013年12期

【摘要】：本文放宽规模报酬不变和决策单元技术相似性的假定,构建非径向区域潜在产出测量模型,深入探讨环境绩效的测量及对其影响因素的分解,并结合共同前沿ML指数测算环境绩效的动态变化,考察我国节能减排政策的有效性。实证结果表明,低能耗低排放区域的环境绩效均值最高,要素配置效率的改善有利于该区域环境绩效的提高;高能耗高排放区域及中能耗中排放区域环境绩效较低的主要原因是由于技术相对比较落后。在观测期间内,我国大部分省份要素配置效率得到改善,环境技术有所进步。尽管低能耗低排放区域环境技术进步显著,但由于高能耗高排放区域及中能耗中排放区域技术缺口较之相对扩大,使得我国环境绩效均值总体呈现负增长。加大节能减排力度的政策实施后,环境绩效有很大的提高,表明我国的环境保护政策具有显著作用。
[Abstract]:In this paper, the assumption of constant scale return and technical similarity of decision making unit is relaxed, and a non-radial region potential output measurement model is constructed, and the measurement of environmental performance and the decomposition of its influencing factors are discussed in depth.Combined with the dynamic change of environmental performance measured by ML index, the effectiveness of energy saving and emission reduction policies in China is investigated.The empirical results show that the environmental performance of low energy consumption and low emission regions is the highest, and the improvement of factor allocation efficiency is beneficial to the improvement of environmental performance.The main reason for the low environmental performance of high energy consumption and high emission region and medium energy consumption region is that the technology is relatively backward.During the observation period, the efficiency of element allocation in most provinces of China has been improved, and environmental technology has been improved.Although the progress of environmental technology in low energy consumption and low emission regions is remarkable, the technical gap between high energy consuming and high emission regions and regions with medium energy consumption is relatively large, which makes the average environmental performance of our country show negative growth overall.After the implementation of the policy of energy saving and emission reduction, the environmental performance has been greatly improved, which indicates that the environmental protection policy plays a significant role in China.
【作者单位】：东北财经大学数学与数量经济学院;东北财经大学经济计量分析与预测研究中心;
【基金】：国家自然科学基金项目(编号:71171035) 国家社科基金重大项目(编号:10zd&010) 教育部人文社会科学研究青年项目(编号:13YJC790023) 辽宁省教育厅人文社会科学重点研究基地专项项目(编号:ZJ2013045)
【分类号】：F062.2;F224

【相似文献】