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作 者:王彦奇 任雪娇 姜梦倩 WANG Yan-qi;REN Xue-jiao;JIANG Meng-qian(School of Continuing Education,Weifang Engineering Vocational College,Qingzhou Shandong 262500,China;Department of Publicity,Weifang Engineering Vocational College,Qingzhou Shandong 262500,China;Network Information Center,Weifang Engineering Vocational College,Qingzhou Shandong 262500,China)
机构地区:[1]潍坊工程职业学院继续教育学院,山东青州262500 [2]潍坊工程职业学院宣传部,山东青州262500 [3]潍坊工程职业学院网络信息中心,山东青州262500
出 处:《菏泽学院学报》2024年第5期99-108,共10页Journal of Heze University
摘 要:为进一步优化山东省环境治理水平,落实美丽山东建设要求,选取山东省2013~2022年16个地级市的面板数据,采用改进的熵值法构建环境治理特征指数作为投入产出变量,分别从静态(Super-SBM模型)和动态(Malmquist指数模型)两个角度对环境治理效率进行实证研究,在此基础上运用MATLAB和ArcGIS技术对评价结果进行时空演化分析,从而更直观地分析了当前环境治理现状.结果表明:鲁东沿海地区环境治理效率较高,其次是鲁西南和鲁中地区,鲁西北地区相对来说较为落后.山东省环境治理全要素生产率整体呈现上升趋势,且主要受技术进步的影响,要想实现环境治理效率的突破,需进一步发挥技术进步和技术效率优势.In order to further optimize the level of environmental governance and implement the requirements of building a beautiful Shandong,this article selects panel data from 16 municipalities in Shandong from 2013 to 2022,and uses an improved entropy method to construct an environmental governance characteristic index as an input-output variable.Empirical research on environmental governance efficiency is conducted from two perspectives of static(Super SBM model)and dynamic(Malmquist index model).Based on this,MATLAB and ArcGIS technologies are used to analyze the spatiotemporal evolution of the evaluation results,in order to more intuitively analyze the current situation of environmental governance.The results show that the environmental governance efficiency in the coastal areas of eastern Shandong is relatively high,followed by the southwestern and central regions of Shandong,while the northwestern region is relatively backward.The total factor productivity of environmental governance in Shandong is showing an overall upward trend,mainly influenced by technological progress.To achieve breakthroughs in environmental governance efficiency,it is necessary to further leverage technological progress and technological efficiency advantages.
关 键 词:环境治理 Super-SBM模型 MALMQUIST指数 空间演进 效率评价
分 类 号:X321[环境科学与工程—环境工程]
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