中国省级生态福利绩效区域差异性分解和收敛性研究
|
摘要
过去经济高速发展造成了严重的资源浪费、生态破坏和环境污染等问题,人们关注的重点逐渐从经济福利转向生态福利。文章在生态效率研究方法的基础上,确定生态福利绩效的测算方法为PCA-Super-SBM模型,以我国30个省份和东、中、西三个区域为研究对象,测算2004—2015年的生态福利绩效水平,在此基础上运用Theil指数和σ收敛、绝对β收敛研究我国生态福利绩效的区域差异性及其收敛性。初步发现东部、中部和西部的生态福利绩效的差距明显,我国生态福利绩效的差异性的主要组成部分是区域内差异,只有东部地区不具有σ收敛和绝对β收敛效应,中部和西部地区的具有β收敛效应,在中西部地区存在落后省份对先进省份的"追赶效应"。
The rapid development of China's economy caused excessive consumption of resources, ecological destruction and environmental pollution. The focus of the public changed from the economic benefits to the ecological benefits gradually.Based on the ecological efficiency method, by using PCA-Super-SBM model to measure ecological well-being performance,the paper calculates the performance of ecological benefits on the panel data of 30 provinces of China from the year 2004 to 2015, and set the eastern, central and western regions as the research objects, by using Theil index, σ-convergence and absolute β convergence to study the regional differences and convergence of ecological well-being performance of China. The paper finds that the gap among the eastern, central and western ecological well-being performance is obvious; the main part of the ecological well-being performance's difference in China is within the region; only the eastern region has no σ-convergence and absolute β convergence effect, while the central and western regions present β convergence effect, and there is a catch-up effect on backward provinces towards developed provinces in the central and western regions.
The rapid development of China's economy caused excessive consumption of resources, ecological destruction and environmental pollution. The focus of the public changed from the economic benefits to the ecological benefits gradually.Based on the ecological efficiency method, by using PCA-Super-SBM model to measure ecological well-being performance,the paper calculates the performance of ecological benefits on the panel data of 30 provinces of China from the year 2004 to 2015, and set the eastern, central and western regions as the research objects, by using Theil index, σ-convergence and absolute β convergence to study the regional differences and convergence of ecological well-being performance of China. The paper finds that the gap among the eastern, central and western ecological well-being performance is obvious; the main part of the ecological well-being performance's difference in China is within the region; only the eastern region has no σ-convergence and absolute β convergence effect, while the central and western regions present β convergence effect, and there is a catch-up effect on backward provinces towards developed provinces in the central and western regions.
引文
[1]WWF.Living Planet Report[R].Gland:WWF,2016.
[2]李克强.政府工作报告[R].北京,2017.
[3]Cummins R A,Eckersley R,Lo S K,et al.The Australian unity wellbeing index:An overview[J].Social Indicators Research,2003,76:1-4.
[4]诸大建,邱寿丰.作为我国循环经济测度的生态效率指标及其实证研究[J].长江流域资源与环境,2008(1):1-5.
[5]Dietz T,Rosa E A,York R.Environmentally efficient wellbeing:Is there a Kuznets curve?[J].Applied Geography,2012,32(1):21-28.
[6]冯吉芳,袁健红.生态福利绩效--可持续发展新的分析工具[J].科技管理研究,2016(12):240-244.
[7]何林,陈欣.基于生态福利的陕西省经济可持续发展研究[J].开发研究,2011(6):24-28.
[8]Giménez V,Ayvar-Campos F J,Navarro-Chávez J L.Efficiency in the generation of social well-being in Mexico:A proposal in the presence of bad outputs[J].Omega,2016,69:43-52.
[9]龙亮军,王霞.我国城市化进程中生态损耗、经济增长与福利水平的关系研究--基于Tapio脱钩分析和Granger因果关系检验[J].经济问题探索,2017(3):98-106.
[10]Knight K W,Rosa E A.The environmental efficiency of wellbeing:A cross-national analysis[J].Social Science Research2011,40(3):931-949.
[11]诸大建,张帅.生态福利绩效及其与经济增长的关系研究[J]中国人口·资源与环境,2014(9):59-67.
[12]徐昱东,亓朋,童临风.中国省级地区生态福利绩效水平时空分异格局研究[J].区域经济评论,2017(4):123-131.
[13]史丹,王俊杰.基于生态足迹的中国生态压力与生态效率测度与评价[J].中国工业经济,2016(5):5-21.
[14]汪文雄,朱欣,余利红,等.不同模式下农地整治前后土地利用效率的比较研究[J].自然资源学报,2015(7):1104-1117.
[15]张艳东,赵涛.基于泰尔指数的能源消费区域差异研究[J].干旱区资源与环境,2015(6):14-19.
[16]李炳炎,王冲.阿玛蒂亚·森的发展观及其对我国实现科学发展的启示[J].经济学家,2012(2):100-104.
[17]孙钰,李泽涛,姚晓东.中国省际低碳经济发展水平的评价研究及对策分析[J].天津大学学报(社会科学版),2012(7):320-322.
[2]李克强.政府工作报告[R].北京,2017.
[3]Cummins R A,Eckersley R,Lo S K,et al.The Australian unity wellbeing index:An overview[J].Social Indicators Research,2003,76:1-4.
[4]诸大建,邱寿丰.作为我国循环经济测度的生态效率指标及其实证研究[J].长江流域资源与环境,2008(1):1-5.
[5]Dietz T,Rosa E A,York R.Environmentally efficient wellbeing:Is there a Kuznets curve?[J].Applied Geography,2012,32(1):21-28.
[6]冯吉芳,袁健红.生态福利绩效--可持续发展新的分析工具[J].科技管理研究,2016(12):240-244.
[7]何林,陈欣.基于生态福利的陕西省经济可持续发展研究[J].开发研究,2011(6):24-28.
[8]Giménez V,Ayvar-Campos F J,Navarro-Chávez J L.Efficiency in the generation of social well-being in Mexico:A proposal in the presence of bad outputs[J].Omega,2016,69:43-52.
[9]龙亮军,王霞.我国城市化进程中生态损耗、经济增长与福利水平的关系研究--基于Tapio脱钩分析和Granger因果关系检验[J].经济问题探索,2017(3):98-106.
[10]Knight K W,Rosa E A.The environmental efficiency of wellbeing:A cross-national analysis[J].Social Science Research2011,40(3):931-949.
[11]诸大建,张帅.生态福利绩效及其与经济增长的关系研究[J]中国人口·资源与环境,2014(9):59-67.
[12]徐昱东,亓朋,童临风.中国省级地区生态福利绩效水平时空分异格局研究[J].区域经济评论,2017(4):123-131.
[13]史丹,王俊杰.基于生态足迹的中国生态压力与生态效率测度与评价[J].中国工业经济,2016(5):5-21.
[14]汪文雄,朱欣,余利红,等.不同模式下农地整治前后土地利用效率的比较研究[J].自然资源学报,2015(7):1104-1117.
[15]张艳东,赵涛.基于泰尔指数的能源消费区域差异研究[J].干旱区资源与环境,2015(6):14-19.
[16]李炳炎,王冲.阿玛蒂亚·森的发展观及其对我国实现科学发展的启示[J].经济学家,2012(2):100-104.
[17]孙钰,李泽涛,姚晓东.中国省际低碳经济发展水平的评价研究及对策分析[J].天津大学学报(社会科学版),2012(7):320-322.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |