经济发展与环境保护能否实现双赢是高质量发展阶段函待解决的问题,因此从效率评价的角度对我国多维目标的实现效果进行综合评价具有重要的现实意义。本文创新性地将污染的空间溢出效应引入至效率评价模型中,构建了一个改进的SBM(Improve...经济发展与环境保护能否实现双赢是高质量发展阶段函待解决的问题,因此从效率评价的角度对我国多维目标的实现效果进行综合评价具有重要的现实意义。本文创新性地将污染的空间溢出效应引入至效率评价模型中,构建了一个改进的SBM(Improved Slack Based Model,ISBM),对中国省级绿色生产效率和绿色全要素生产率进行了全新测度,随后利用Tobit模型对绿色生产效率的影响因素进行实证分析,主要得出以下几点结论:首先,中国的绿色生产效率在样本期内呈波动上升超势,但均未达到有效水平,其中东部地区最高,西部次之,中部最低;其次,绿色全要素生产率在考察期内呈微弱下降趋势,其中技术进步减缓是阻碍其提高的核心因素;再次,绿色生产效率的影响因素存在明显的区域异质性,综合而言,加强环保规制力度和提高城镇化率是提升全国绿色生产效率的有效手段,而东部地区需警惕二产回流,西部地区则应摒弃“唯GDP论的逐底竞赛”;最后,绿色生产效率最低的省份是处于新城市集群地理中枢位置的人口大省,而非是经验认知中的高度工业化省份,产生这一结果的根源在于这些省份承载了大量来自其他省份的污染转移,这一结果再一次证明非期望投入是效率评价体系中不可忽视的重要部分。展开更多
Carbon emissions abatement(CEA)is an important issue that draws attention from both academicians and policymakers.Data envelopment analysis(DEA)has been a popular tool to allocate the CEA,and most previous works are b...Carbon emissions abatement(CEA)is an important issue that draws attention from both academicians and policymakers.Data envelopment analysis(DEA)has been a popular tool to allocate the CEA,and most previous works are based on radial DEA models.However,as shown in our paper,these models may give biased results due to their ignorance of slackness.To avoid such problems,we propose an allocation model based on the slack-based model and multiple-objective nonlinear programming to find the CEA allocation plan,which can minimize the GDP loss.The property of nonconvexity makes the model difficult to solve.Thus,we construct an approximation algorithm to solve this model with guaranteed error bounds and complexity.In the empirical application,we take regions of china as an illustrative example and find there is a significant region gap in China.Hence,we group the regions into eastern,central,and western,and give the main results,as well as the superiority of our allocation models compared with radial models.展开更多
文摘经济发展与环境保护能否实现双赢是高质量发展阶段函待解决的问题,因此从效率评价的角度对我国多维目标的实现效果进行综合评价具有重要的现实意义。本文创新性地将污染的空间溢出效应引入至效率评价模型中,构建了一个改进的SBM(Improved Slack Based Model,ISBM),对中国省级绿色生产效率和绿色全要素生产率进行了全新测度,随后利用Tobit模型对绿色生产效率的影响因素进行实证分析,主要得出以下几点结论:首先,中国的绿色生产效率在样本期内呈波动上升超势,但均未达到有效水平,其中东部地区最高,西部次之,中部最低;其次,绿色全要素生产率在考察期内呈微弱下降趋势,其中技术进步减缓是阻碍其提高的核心因素;再次,绿色生产效率的影响因素存在明显的区域异质性,综合而言,加强环保规制力度和提高城镇化率是提升全国绿色生产效率的有效手段,而东部地区需警惕二产回流,西部地区则应摒弃“唯GDP论的逐底竞赛”;最后,绿色生产效率最低的省份是处于新城市集群地理中枢位置的人口大省,而非是经验认知中的高度工业化省份,产生这一结果的根源在于这些省份承载了大量来自其他省份的污染转移,这一结果再一次证明非期望投入是效率评价体系中不可忽视的重要部分。
基金Key Laboratory of Management,Decision and Information Systems,Chinese Academy of Sciences.
文摘Carbon emissions abatement(CEA)is an important issue that draws attention from both academicians and policymakers.Data envelopment analysis(DEA)has been a popular tool to allocate the CEA,and most previous works are based on radial DEA models.However,as shown in our paper,these models may give biased results due to their ignorance of slackness.To avoid such problems,we propose an allocation model based on the slack-based model and multiple-objective nonlinear programming to find the CEA allocation plan,which can minimize the GDP loss.The property of nonconvexity makes the model difficult to solve.Thus,we construct an approximation algorithm to solve this model with guaranteed error bounds and complexity.In the empirical application,we take regions of china as an illustrative example and find there is a significant region gap in China.Hence,we group the regions into eastern,central,and western,and give the main results,as well as the superiority of our allocation models compared with radial models.
