运用含非期望产出的超效率SBM(slack based measure)模型和GML(global Malmquist-Luenberger)指数,对中国与世界主要国家1991—2016年的分别在考虑和不考虑环境约束下的技术效率和全要素生产率进行测度与比较。研究发现,不考虑环境约束...运用含非期望产出的超效率SBM(slack based measure)模型和GML(global Malmquist-Luenberger)指数,对中国与世界主要国家1991—2016年的分别在考虑和不考虑环境约束下的技术效率和全要素生产率进行测度与比较。研究发现,不考虑环境约束的测度结果忽略了一国发展所造成的污染损失,导致技术效率与生产率被高估;中国的技术效率在考虑环境因素后显著下降,总效率排名从样本中的第16位下降至第40位。时间趋势上,中国的环境效率与技术效率的差距呈现先扩大后缩小,且近年来有逐渐趋同的态势;动态视角上,不考虑环境约束时中国的全要素生产率变化总体呈现增长趋势,但在考虑环境因素后中国的环境全要素生产率转变为下降趋势,这其中,技术进步的下降是影响环境全要素生产率变化的主要因素。展开更多
Economic development,resource utilization,and environmental protection have always presented clear dilemmas for many countries at the national level.It is clear that the related concepts of eco-efficiency and the eval...Economic development,resource utilization,and environmental protection have always presented clear dilemmas for many countries at the national level.It is clear that the related concepts of eco-efficiency and the evaluation index can help in evaluating these associated issues.Thus,based on the use of undesirable output super Slacks-Based Measure models,this study evaluated the eco-efficiency of 30 Chinese provinces during the period between 2005 and 2016.This evaluation was conducted by analyzing the spatiotemporal dynamics and key factors influencing these changes using a panel regression model.The results of this analysis reveal that eco-efficiency gradually increased over the course of the study period,peaking at different levels among the regions.We used the conventional CV evolutionary method to show that inequalities in eco-efficiency gradually decreased at the national level.Indeed,our estimations of the factors affecting this variable suggest that industrial structure,degree of openness,urbanization,technical innovation,and environmental governance all exert significant positive influences,while energy consumption and traffic exert negative effects.The extent of the impacts of these factors on eco-efficiency varied between the different regions.展开更多
In the context of high-quality economic development and coordinated regional development,this paper measures the urban land use efficiency of 275 prefecture-level cities in China from 2003 to 2016,taking into account ...In the context of high-quality economic development and coordinated regional development,this paper measures the urban land use efficiency of 275 prefecture-level cities in China from 2003 to 2016,taking into account the unexpected output(environmental pollution),and explores the temporal and spatial evolution of urban land use efficiency through kernel density estimation and spatial autocorrelation analysis.The results show that:(1)From 2003 to 2016,China’s urban land use efficiency showed an overall fluctuating growth,but it remained at a low level.The mean value of urban land use efficiency has been gradually decreasing in east,west and central regions.(2)In the whole country and the eastern,central and western regions,the regional differences have been increasing,and the efficiency values of the whole country and the east have become polarized.(3)Urban land use efficiency shows a weak spatial positive correlation,but the degree of spatial agglomeration is increasing.High-high agglomeration areas are mostly distributed in the southeastern coastal areas,and extend into the central region,while most of the high-low polarized areas are the capital cities of the central and western regions.The low-high depressed areas are scattered around the high-value accumulation areas,some of which have turned into high-high agglomeration areas during the study period,while the low-low homogeneous areas are mainly distributed in the central,western and northeastern regions.Therefore,it is proposed that strengthening the utilization of urban stock land,strengthening the regional cooperation mechanism,and formulating policies which improve the efficiency of land use are effective ways to promote the intensive and economical use of urban land,as well as regional coordinated development.展开更多
文摘运用含非期望产出的超效率SBM(slack based measure)模型和GML(global Malmquist-Luenberger)指数,对中国与世界主要国家1991—2016年的分别在考虑和不考虑环境约束下的技术效率和全要素生产率进行测度与比较。研究发现,不考虑环境约束的测度结果忽略了一国发展所造成的污染损失,导致技术效率与生产率被高估;中国的技术效率在考虑环境因素后显著下降,总效率排名从样本中的第16位下降至第40位。时间趋势上,中国的环境效率与技术效率的差距呈现先扩大后缩小,且近年来有逐渐趋同的态势;动态视角上,不考虑环境约束时中国的全要素生产率变化总体呈现增长趋势,但在考虑环境因素后中国的环境全要素生产率转变为下降趋势,这其中,技术进步的下降是影响环境全要素生产率变化的主要因素。
基金The National Natural Science Foundation of China (41771181, 41661116)The Shandong Social Science Planning Fund Program (20CJJJ04)
文摘Economic development,resource utilization,and environmental protection have always presented clear dilemmas for many countries at the national level.It is clear that the related concepts of eco-efficiency and the evaluation index can help in evaluating these associated issues.Thus,based on the use of undesirable output super Slacks-Based Measure models,this study evaluated the eco-efficiency of 30 Chinese provinces during the period between 2005 and 2016.This evaluation was conducted by analyzing the spatiotemporal dynamics and key factors influencing these changes using a panel regression model.The results of this analysis reveal that eco-efficiency gradually increased over the course of the study period,peaking at different levels among the regions.We used the conventional CV evolutionary method to show that inequalities in eco-efficiency gradually decreased at the national level.Indeed,our estimations of the factors affecting this variable suggest that industrial structure,degree of openness,urbanization,technical innovation,and environmental governance all exert significant positive influences,while energy consumption and traffic exert negative effects.The extent of the impacts of these factors on eco-efficiency varied between the different regions.
基金The National Natural Science Foundation of China(41961035)The Natural Science Foundation in Jiangxi Province(20202BAB213014)+2 种基金The Technology Foundation of Jiangxi Education Department of China(GJJ180285)The Humanities and Social Sciences Research Project of Jiangxi Universities(GL19206)Jiangxi University of Finance and Economics Student Research Project(20200613133356832)。
文摘In the context of high-quality economic development and coordinated regional development,this paper measures the urban land use efficiency of 275 prefecture-level cities in China from 2003 to 2016,taking into account the unexpected output(environmental pollution),and explores the temporal and spatial evolution of urban land use efficiency through kernel density estimation and spatial autocorrelation analysis.The results show that:(1)From 2003 to 2016,China’s urban land use efficiency showed an overall fluctuating growth,but it remained at a low level.The mean value of urban land use efficiency has been gradually decreasing in east,west and central regions.(2)In the whole country and the eastern,central and western regions,the regional differences have been increasing,and the efficiency values of the whole country and the east have become polarized.(3)Urban land use efficiency shows a weak spatial positive correlation,but the degree of spatial agglomeration is increasing.High-high agglomeration areas are mostly distributed in the southeastern coastal areas,and extend into the central region,while most of the high-low polarized areas are the capital cities of the central and western regions.The low-high depressed areas are scattered around the high-value accumulation areas,some of which have turned into high-high agglomeration areas during the study period,while the low-low homogeneous areas are mainly distributed in the central,western and northeastern regions.Therefore,it is proposed that strengthening the utilization of urban stock land,strengthening the regional cooperation mechanism,and formulating policies which improve the efficiency of land use are effective ways to promote the intensive and economical use of urban land,as well as regional coordinated development.