基于SBM-Malmquist-Tobit的“一带一路”重点省份绿色经济效率评价及影响因素分析
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摘要
从绿色经济新形态的视角出发,综合选取合理的绿色经济效率评价指标,以"一带一路"重点省份2006—2016年的数据为依据,利用SBM模型及Malmquist指数对绿色经济效率以及全要素生产率进行分析,据此对各省份及区域整体的绿色经济发展水平进行科学评价,并利用Tobit模型进行回归分析,对可能影响绿色经济效率的因素进行探究和识别,研究表明,西部和东北部分省份绿色经济发展水平低于其他省份,但区域间差距在缩小,城市化率等指标对效率值存在不同方向的影响。最后提出区域发展和提高绿色经济水平的相关建议。
From the perspective of the new form of green economy, a reasonable indicator of green economic efficiency is selected, on the basis of the data of the Belt and Road key provinces between 2006 and 2016, SBM model and Malmquist index are used to analyze the green economic efficiency and total factor productivity. Based on this, the paper makes a scientific evaluation of the green economic development level of each province and the whole region. Further, the Tobit model is used for regression analysis to explore and identify the factors that may affect the efficiency of green economy. The results show that the green economic development level of some provinces in the west and northeast is lower than that of other provinces, but the gap between regions is narrowing, and the urbanization rate and other indicators have different influences on the efficiency value. Finally, the paper puts forward some suggestions on regional development and green economic level.
From the perspective of the new form of green economy, a reasonable indicator of green economic efficiency is selected, on the basis of the data of the Belt and Road key provinces between 2006 and 2016, SBM model and Malmquist index are used to analyze the green economic efficiency and total factor productivity. Based on this, the paper makes a scientific evaluation of the green economic development level of each province and the whole region. Further, the Tobit model is used for regression analysis to explore and identify the factors that may affect the efficiency of green economy. The results show that the green economic development level of some provinces in the west and northeast is lower than that of other provinces, but the gap between regions is narrowing, and the urbanization rate and other indicators have different influences on the efficiency value. Finally, the paper puts forward some suggestions on regional development and green economic level.
引文
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[26]李鑫,孙小霞,苏时鹏.基于DEA-Tobit模型的中国县域污水处理服务减排效率测评[J].资源科学,2017,39(3):451-460.
[27]唐睿,冯学钢,周成.“丝绸之路经济带”入境旅游市场效率研究:基于西北五省(区)DEA-面板Tobit的实证[J].国际经贸探索,2017,33(7):4-18.
[28]刘秉镰,李清彬.中国城市全要素生产率的动态实证分析:1990—2006:基于DEA模型的Malmquist指数方法[J].南开经济研究,2009(3):139-152.
[29]北京师范大学,国家统计局.2016中国绿色发展指数报告:区域比较[M].北京:北京师范大学出版社,2016.
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[31]潘孝珍.中国地方政府环境保护支出的效率分析[J].中国人口·资源与环境,2013,23(11):61-65.
[32]于伟,张鹏.城市化进程、空间溢出与绿色经济效率增长:基于2002—2012年省域单元的空间计量研究[J].经济问题探索,2016(1):77-82.
[2]UNEP.Green jobs:towards decent work in a sustainable,low - carbon world[R].Washington,D.C:Worldwatch Institute,2008.
[3]BARBIER E.The green economy post Rio+20[J].Science,2012,338(6109):887-888.
[4]诸大建.绿色经济新理念及中国开展绿色经济研究的思考[J].中国人口·资源与环境,2012,22(5):40-47.
[5]OECD.Towards green growth:monitoring progress OECD indicator[R].Dublin:Normans Media Ltd ,2011.
[6]WORLD BANK.Inclusive green growth:the pathway to sustainable development[M].Washington,D.C:World Bank,2012.
[7]GGKP.Moving towards a common approach on green growth indicators[J].Green Growth Knowledge Platform,2013(1):3-36.
[8]杨志,张洪国.气候变化与低碳经济、绿色经济、循环经济之辨析[J].广东社会科学,2009(6):34-42.
[9]武春友,朱庆华,耿勇.绿色供应链管理与企业可持续发展[J].中国软科学,2001(3):67-70.
[10]武春友,陈兴红,匡海波.基于Rough-DEMATEL的企业绿色增长模式影响因素识别[J].管理评论,2014,26(8):74-81.
[11]郭玲玲,卢小丽,武春友,等.中国绿色增长评价指标体系构建研究[J].科研管理,2016,37(6):141-150.
[12]武春友,郭玲玲,于惊涛.基于TOPSIS-灰色关联分析的区域绿色增长系统评价模型及实证[J].管理评论,2017,29(1):228-239.
[13]YI H,LIU Y.Green economy in China:regional variations and policy drivers[J].Global Environmental Change,2015(31):11-19.
[14]杨龙,胡晓珍.基于DEA的中国绿色经济效率地区差异与收敛分析[J].经济学家,2010(2):46-54.
[15]杨文举.基于DEA的绿色经济增长核算:以中国地区工业为例[J].数量经济技术经济研究,2011,28(1):19-34.
[16]聂玉立,温湖炜.中国地级以上城市绿色经济效率实证研究[J].中国人口·资源与环境,2015,25(S1):409-413.
[17]ZHAO T,YANG Z.Towards green growth and management:relative efficiency and gaps of Chinese cities[J].Renewable & Sustainable Energy Reviews,2017(80):481-494.
[18]林晓,徐伟,杨凡,等.东北老工业基地绿色经济效率的时空演变及影响机制:以辽宁省为例[J].经济地理,2017,37(5):125-132.
[19]TONE K.Dealing with undesirable outputs in DEA:a slacksbased measure (SBM) Approach[J].GRIPS Research Report Seires,2003(1):44-45.
[20]CAVES D W,CHRISTENSEN L R,DIEWERT W E,The economic theory of index numbers and the measurement of input,output,and productivity,econometrica[J].Journal of the Econometric Society,1982,50(6):1393-1414.
[21]FARE R,GROSSKOPF S,NORRIS M,et al.Productivity growth,technical progress,and efficiency change in industrialized countries[J].American Economic Review,1994,84(1):66-83.
[22]刘玲利.科技资源配置理论与配置效率研究[D].吉林:吉林大学,2007.
[23]戚湧,张明,李太生.基于Malmquist指数的江苏创新资源整合共享效率评价[J].中国软科学,2013(10):101-110.
[24]卢太平,张东旭.会计师事务所运营效率影响因素研究:基于DEA-Tobit研究框架[J].审计研究,2014(1):88-95.
[25]黄俊,杨紫锐,殷丽梅,等.国产机器人企业研发效率评价及影响因素研究:基于DEA-Tobit两阶段分析法[J].科技进步与对策,2017,34(18):101-106.
[26]李鑫,孙小霞,苏时鹏.基于DEA-Tobit模型的中国县域污水处理服务减排效率测评[J].资源科学,2017,39(3):451-460.
[27]唐睿,冯学钢,周成.“丝绸之路经济带”入境旅游市场效率研究:基于西北五省(区)DEA-面板Tobit的实证[J].国际经贸探索,2017,33(7):4-18.
[28]刘秉镰,李清彬.中国城市全要素生产率的动态实证分析:1990—2006:基于DEA模型的Malmquist指数方法[J].南开经济研究,2009(3):139-152.
[29]北京师范大学,国家统计局.2016中国绿色发展指数报告:区域比较[M].北京:北京师范大学出版社,2016.
[30]曲如晓.经济开放度指标新探[J].经济学家,1997(5):75-81.
[31]潘孝珍.中国地方政府环境保护支出的效率分析[J].中国人口·资源与环境,2013,23(11):61-65.
[32]于伟,张鹏.城市化进程、空间溢出与绿色经济效率增长:基于2002—2012年省域单元的空间计量研究[J].经济问题探索,2016(1):77-82.