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基于数据包络(DEA)分析的京津冀地区环境绩效评估研究 被引量:8

The Study on the Environmental Performance Evaluation of Beijing-Tianjin-Hebei Region with Data Envelopment Analysis(DEA)Method
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摘要 提高资源环境绩效是区域生态环境治理的核心与关键。在构建环境绩效评估指标体系的基础上,运用数据包络分析模型(DEA)测度并分析2005-2015年京津冀地区静态环境绩效水平。利用Malmquist指数动态分析法将环境绩效分解为技术效率变化指数和技术进步指数,并探讨分解指标对环境绩效的相对贡献。结果显示:京津冀地区环境治理投入与产出水平均呈现逐年上升趋势;北京和天津的总体环境绩效水平要远高于河北,2005-2011年京津冀地区的环境绩效水平排序为北京、天津、河北,2012-2015年京津冀地区的环境绩效水平排序为天津、北京、河北(2013年除外)。河北省环境绩效水平较低的主要制约因素是技术进步缓慢与全要素生产率偏低。Malmquist指数呈现出一定的波性,这主要是由技术变化指标波动所致。最后,就如何提升京津冀地区环境绩效水平,提出相关对策建议。 The improvement of resource environment performance index is a core and key issue to resume the ecological environment.This thesis takes advantage of Data Envelopment Analysis(DEA)to measure and analyze the static as well as the dynamic environmental performance levels during the year 2005-2015 in Beijing-Tianjin-Hebei region based on the establishment of an environmental performance evaluation index system.Malmquist Index divides environmental performance into technical efficiency change and Index and technical change index which is applied in this thesis to investigate the relative contributions of these decomposed indexes to the environmental performance measurement.The result is:firstly,both of the costs and gains in Beijing-Tianjin-Hebei region to resume the environment increase gradually year by year.Secondly,Beijing and Tianjin cities get higher overall environmental performance levels than Hebei province while the rank from the year 2005 to 2011 is Beijing,Tianjin and Hebei,but when it comes to the year from 2012 to 2015,the rank is Tianjin,Beijing and Hebei(except 2013).At last,the reason why Hebei Province lags behind is its lower technical progress rate and total factor productivity.Malmquist Index waves to a certain extent,and the fact is produced by the variation of technical change index.Moreover,this thesis ends up with the strategies and suggestion concerning how to improve the environmental performance level of Beijing-Tianjin-Hebei region.
作者 杨浩 张灵 Yang Hao;Zhang Ling(School of Economics Peking University,Beijing 100871,Chinas;Beijing Academy of Social,Beijing 100101,China)
出处 《科技进步与对策》 CSSCI 北大核心 2018年第14期43-49,共7页 Science & Technology Progress and Policy
基金 北京市哲学社会科学重点规划项目(15JDJGB073) 中国博士后科学基金面上项目(2018M631383)
关键词 环境绩效 数据包络分析模型(DEA) MALMQUIST指数 京津冀地区 Environmental Performance Data Envelopment Analysis (DEA) Malmquist Index Beijing Tianjin-Hebei Area
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