基于三阶段SBM模型的湖南省碳排放绩效评价
|
摘要
为寻求中部地区可持续发展有效路径,利用改进后的三阶段超效率SBM-DEA模型与Malmquist指数,实现了对2010—2016年湖南省14个市(州)碳排放绩效静态和动态评价及区域差异分析,结果发现:(1)湖南省碳排放技术效率、纯技术效率和综合规模效率偏低,经剔除环境因素和随机误差后多数地区的绩效水平得到显著提高。(2)区域间形成阶梯型差异,长沙市碳排放绩效居于全省前列,其次为常德市和张家界市,余下地区稳定在0.6左右。(3)2010—2016年整体碳排放绩效趋势为先上升后下降,其中TFP指数与技术进步指数变化一致,表明全要素生产率提高有赖于技术创新。(4)五大能源区域中,湘东地区碳排放绩效较高,其次为湘北地区和湘南地区,湘中地区与湘西地区受到规模效率和技术进步的双重制约。应注重各市(州)发展阶段的差异性和技术创新驱动力,协调各地区发展关系。
In order to seek the effective path of sustainable development in the central region, the static and dynamic evaluation and regional difference analysis of carbon emission performance of 14 cities(states) in Hunan province from2010 to 2016 were realized by using the improved three-stage super-efficiency SBM-DEA model and Malmquist index,and the results showed that:(1) The technology efficiency, pure technology efficiency and comprehensive scale efficiency of carbon emission in Hunan province are low. The performance level in most areas is significantly improved after excluding environmental factors and random errors.(2) The formation of ladder differences between regions, Changsha carbon emissions performance in the forefront of the province, followed by Changde and Zhangjiajie, the rest of the region stable at around 0.6.(3) The overall trend of carbon emission performance is rising at first and then decreasing from 2010 to 2016, in which the TFP index is consistent with the change of technological progress Index. It indicates that the increase of total factor productivity depends on technological innovation heavily.(4) Among the five energy regions in Hunan Province, the performance of carbon emissions is higher in the Eastern Hunan than other regions, and in the mid and west of Hunan regions are subject to the dual constraints of scale efficiency and technological progress. Finally, it is suggested that we should pay attention to the difference of the development stage of each city(state) and the driving force of technological innovation, and coordinate the development relations of each region.
In order to seek the effective path of sustainable development in the central region, the static and dynamic evaluation and regional difference analysis of carbon emission performance of 14 cities(states) in Hunan province from2010 to 2016 were realized by using the improved three-stage super-efficiency SBM-DEA model and Malmquist index,and the results showed that:(1) The technology efficiency, pure technology efficiency and comprehensive scale efficiency of carbon emission in Hunan province are low. The performance level in most areas is significantly improved after excluding environmental factors and random errors.(2) The formation of ladder differences between regions, Changsha carbon emissions performance in the forefront of the province, followed by Changde and Zhangjiajie, the rest of the region stable at around 0.6.(3) The overall trend of carbon emission performance is rising at first and then decreasing from 2010 to 2016, in which the TFP index is consistent with the change of technological progress Index. It indicates that the increase of total factor productivity depends on technological innovation heavily.(4) Among the five energy regions in Hunan Province, the performance of carbon emissions is higher in the Eastern Hunan than other regions, and in the mid and west of Hunan regions are subject to the dual constraints of scale efficiency and technological progress. Finally, it is suggested that we should pay attention to the difference of the development stage of each city(state) and the driving force of technological innovation, and coordinate the development relations of each region.
引文
[1]MACIEL C.Environmental efficiency and regulatory standards:The case of CO2 emission from OECD industries[J].Resource&Energy Economics,2001,23(1):63-83.
[2]KORTELAINEN M.Dynamic environmental performance analysis:A Malmquist index approach[J].Ecological Economics,2008,64(4):701-715.
[3]刘文君,李娇,刘秀春.碳排放约束下中国旅游业能源效率的实证分析--基于SBM模型和Tobit回归模型[J].中南林业科技大学学报(社会科学版),2017,11(1):40-46.
[4]马大来,陈仲常,王玲.中国省际碳排放效率的空间计量[J].中国人口·资源与环境,2015,25(1):67-77.
[5]韩晶,王赟,陈超凡.中国工业碳排放绩效的区域差异及影响因素研究--基于省域数据的空间计量分析[J].经济社会体制比较,2015(1):113-124.
[6]王兆峰,孙姚.区域能源碳排放与旅游经济增长的耦合机制--以长株潭为例[J].中南林业科技大学学报(社会科学版),2018,12(5):77-82,99.
[7]赵先超,张颂,周跃云.基于DEA的湖南省能源消费碳排放效率空间格局分析[J].科技和产业,2015,15(3):128-133.
[8]王星,盖美,王嵩.山东省区域碳排放绩效评价[J].资源开发与市场,2017,33(2):150-155.
[9]SUN Y Y.Decomposition of tourism greenhouse gas emissions:Revealing the dynamics between tourism economic growth,technological efficiency,and carbon emissions[J].Tourism Management,2016,55(8):326-336.
[10]SAINAGHI R,PHILLIPS P A,ZAVARRONE E.Performance Measurement in Tourism Firms:A Content Analytical Metaapproach[J].Tourism Management,2017,59(4):36-56.
[11]LIU J,ZHANG J F,FU Z B.Tourism eco-efficiency of Chinese coastal cities-Analysis based on the DEA-Tobit model[J].Ocean and Coastal Management,2017,148(11):164-170.
[12]孙亚男,刘华军,刘传明,等.中国省际碳排放的空间关联性及其效应研究--基于SNA的经验考察[J].上海经济研究,2016(2):82-92.
[13]刘贤赵,高长春,韩用顺,等.2008年以来湖南省碳排放重心与经济发展重心演变及其相关分析[J].生态与农村环境学报,2017,33(9):792-799.
[14]张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952-2000[J].经济研究,2004(10):35-44.
[15]单豪杰.中国资本存量K的再估算:1952~2006年[J].数量经济技术经济研究,2008,25(10):17-31.
[16]涂华,刘翠杰.标准煤二氧化碳排放的计算[J].煤质技术,2014(2):57-60.
[17]王兆峰,霍菲菲,徐赛.湘鄂渝黔旅游产业与旅游环境耦合协调度变化[J].经济地理,2018,38(8):204-213.
[18]高杨,马耀峰,刘军胜.旅游业-城市化-生态环境耦合协调及发展类型研究--以京津冀地区为例[J].陕西师范大学学报(自然科学版),2016,44(5):109-118.
[19]唐志鹏.中国省域资源环境的投入产出效率评价[J].地理研究,2018,37(8):1515-1527.
[20]FRIEDHO,LOVELLCAK,SCHMIDTSS,etal.Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis[J].Journal of Productivity Analysis,2002,17(1-2):157-174.
[21]KAORU T.A slacks-based measure of super-efficiency in data envelopment analysis[J].European Journal of Operational Research,2002,143(1):32-41.
[22]ZHOU P,ANG B W,HAN J Y.Total factor carbon emission performance:A Malmquist index analysis[A].国家自然科学基金委员会管理科学部.国家自然科学基金委员会管理科学部宏观管理与政策学科青年基金获得者交流研讨会论文集[C].国家自然科学基金委员会管理科学部:广东财经大学金融学院,2010:16.
[23]毛丰付,潘加顺.资本深化、产业结构与中国城市劳动生产率[J].中国工业经济,2012,295(10):32-44.
[24]陈璋.对外开放对我国制造业能源消费影响的研究[D].湖南大学,2010.
[25]杨宏.生态环境与旅游产业发展的门槛效应分析[J].统计与决策,2018,34(21):146-149.
[2]KORTELAINEN M.Dynamic environmental performance analysis:A Malmquist index approach[J].Ecological Economics,2008,64(4):701-715.
[3]刘文君,李娇,刘秀春.碳排放约束下中国旅游业能源效率的实证分析--基于SBM模型和Tobit回归模型[J].中南林业科技大学学报(社会科学版),2017,11(1):40-46.
[4]马大来,陈仲常,王玲.中国省际碳排放效率的空间计量[J].中国人口·资源与环境,2015,25(1):67-77.
[5]韩晶,王赟,陈超凡.中国工业碳排放绩效的区域差异及影响因素研究--基于省域数据的空间计量分析[J].经济社会体制比较,2015(1):113-124.
[6]王兆峰,孙姚.区域能源碳排放与旅游经济增长的耦合机制--以长株潭为例[J].中南林业科技大学学报(社会科学版),2018,12(5):77-82,99.
[7]赵先超,张颂,周跃云.基于DEA的湖南省能源消费碳排放效率空间格局分析[J].科技和产业,2015,15(3):128-133.
[8]王星,盖美,王嵩.山东省区域碳排放绩效评价[J].资源开发与市场,2017,33(2):150-155.
[9]SUN Y Y.Decomposition of tourism greenhouse gas emissions:Revealing the dynamics between tourism economic growth,technological efficiency,and carbon emissions[J].Tourism Management,2016,55(8):326-336.
[10]SAINAGHI R,PHILLIPS P A,ZAVARRONE E.Performance Measurement in Tourism Firms:A Content Analytical Metaapproach[J].Tourism Management,2017,59(4):36-56.
[11]LIU J,ZHANG J F,FU Z B.Tourism eco-efficiency of Chinese coastal cities-Analysis based on the DEA-Tobit model[J].Ocean and Coastal Management,2017,148(11):164-170.
[12]孙亚男,刘华军,刘传明,等.中国省际碳排放的空间关联性及其效应研究--基于SNA的经验考察[J].上海经济研究,2016(2):82-92.
[13]刘贤赵,高长春,韩用顺,等.2008年以来湖南省碳排放重心与经济发展重心演变及其相关分析[J].生态与农村环境学报,2017,33(9):792-799.
[14]张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952-2000[J].经济研究,2004(10):35-44.
[15]单豪杰.中国资本存量K的再估算:1952~2006年[J].数量经济技术经济研究,2008,25(10):17-31.
[16]涂华,刘翠杰.标准煤二氧化碳排放的计算[J].煤质技术,2014(2):57-60.
[17]王兆峰,霍菲菲,徐赛.湘鄂渝黔旅游产业与旅游环境耦合协调度变化[J].经济地理,2018,38(8):204-213.
[18]高杨,马耀峰,刘军胜.旅游业-城市化-生态环境耦合协调及发展类型研究--以京津冀地区为例[J].陕西师范大学学报(自然科学版),2016,44(5):109-118.
[19]唐志鹏.中国省域资源环境的投入产出效率评价[J].地理研究,2018,37(8):1515-1527.
[20]FRIEDHO,LOVELLCAK,SCHMIDTSS,etal.Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis[J].Journal of Productivity Analysis,2002,17(1-2):157-174.
[21]KAORU T.A slacks-based measure of super-efficiency in data envelopment analysis[J].European Journal of Operational Research,2002,143(1):32-41.
[22]ZHOU P,ANG B W,HAN J Y.Total factor carbon emission performance:A Malmquist index analysis[A].国家自然科学基金委员会管理科学部.国家自然科学基金委员会管理科学部宏观管理与政策学科青年基金获得者交流研讨会论文集[C].国家自然科学基金委员会管理科学部:广东财经大学金融学院,2010:16.
[23]毛丰付,潘加顺.资本深化、产业结构与中国城市劳动生产率[J].中国工业经济,2012,295(10):32-44.
[24]陈璋.对外开放对我国制造业能源消费影响的研究[D].湖南大学,2010.
[25]杨宏.生态环境与旅游产业发展的门槛效应分析[J].统计与决策,2018,34(21):146-149.