四川省工业绿色全要素生产率评价研究——基于Malmquist-Luenberger指数
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摘要
使用MinDS模型构造Malmquist-Luenberger指数测算2007-2015年四川省工业绿色全要素生产率,结果表明:四川省工业绿色全要素生产率年均增长3. 21%,技术进步具有促进作用,技术效率、纯技术效率、规模效率具有抑制作用;在四川省的五大经济区中,工业绿色全要素生产率由高到低依次是川东北经济区、川南经济区、攀西经济区、成都平原经济区、川西北经济区;总体上的单位工业增加值碳排放量的冗余是逐渐减少的,但仍需要继续推进工业节能减排工作。对结果进行收敛分析的结果表明工业绿色全要素生产率是发散的,技术进步是收敛的,成都平原经济区、川东北经济区的工业绿色全要素生产率是发散的。
Malmquist-Luenberger index constructed by MinDS model is used to measure the industrial green total factor productivity in Sichuan province from 2007 to 2015. The results show: industrial green total factor productivity grew by 3. 21% annually,in which technological change has a catalytic role,while efficiency change,pure technical efficiency and scale efficiency have inhibitory effect; among the five economic zones of Sichuan province,the industrial green total factor productivity from high to low is Sichuan northeast economic zone,Sichuan southern economic zone,Panxi economic zone,Chengdu plain economic zone and Sichuan northwest economic zone; the overall unit of industrial added value of carbon emissions is gradually reduced,but it still needs to continue to promote industrial energy-saving emission reduction. The results of convergence analysis show that the industrial green total factor productivity is divergent,and the technological progress is convergence. The industrial green total factor productivity of Chengdu plain economic zone and Sichuan northeast economic zone is divergent.
Malmquist-Luenberger index constructed by MinDS model is used to measure the industrial green total factor productivity in Sichuan province from 2007 to 2015. The results show: industrial green total factor productivity grew by 3. 21% annually,in which technological change has a catalytic role,while efficiency change,pure technical efficiency and scale efficiency have inhibitory effect; among the five economic zones of Sichuan province,the industrial green total factor productivity from high to low is Sichuan northeast economic zone,Sichuan southern economic zone,Panxi economic zone,Chengdu plain economic zone and Sichuan northwest economic zone; the overall unit of industrial added value of carbon emissions is gradually reduced,but it still needs to continue to promote industrial energy-saving emission reduction. The results of convergence analysis show that the industrial green total factor productivity is divergent,and the technological progress is convergence. The industrial green total factor productivity of Chengdu plain economic zone and Sichuan northeast economic zone is divergent.
引文
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[20]JAHANSHAHLOO G R,VAKILI J,ZAREPISHEH M.A linear bilevel programming problem for obtaining the closest targets and minimum distance of a unit from the strong efficient frontier[J]. Asia-Pacific Journal of Operational Research,2012,29(2):1-19.
[21]APARICIO J,RUIZ J L,SIRVENT I. Closest targets and minimum distance to the Pareto-efficient frontier in DEA[J]. Journal of Productivity Analysis,2007,28(3):209-218.
[22]WANG L,CHEN Z,MA D,ET A L. Measuring carbon emissions performance in 123 countries:application of minimum distance to the strong efficiency frontier analysis[J]. Sustainability,2013,5(12):5319-5332.
[23]COOPER W W,RUIZ J L,SIRVENT I. Choosing weights from alternative optimal solutions of dual multiplier models in DEA[J]. European Journal of Operational Research,2007,180(1):443-458.
[24]FARE R,GROSSKOPF S,NORRIS M. Productivity growth,technical progress,and efficiency change in industrialized countries:reply[J]. The American Economic Review,1997,87(5):1040-1044.
[25]CHUNG Y H,FARE R,GROSSKOPF S. Productivity and undesirable outputs:a directional distance function approach[J]. Microeconomics,1997,51(3):229-240.
[26]柴志贤,黄祖辉.集聚经济与中国工业生产率的增长:基于DEA的实证分析[J].数量经济技术经济研究,2008(11):3-15.
[27]BARRO R,SALA-I-MARTIN X. Convergence across states and regions[J]. Brooking Papers on E-conomic Activity,1991,(1):107-182.
[28]BERNARD A B,JONES C I. Comparing apples to oranges:productivity convergence and measurement across industries and countries[J]. The American Economic Review,1996:1216-1238.
[2] SOLOW R M. Technical Progress,Capital formation,and economic growth[J]. American Economic Review,1962,52(2):76-86.
[3] DENISON E F,POULLIER J P. Why growth rates differ:postwar experience in nine western countries[M].Brookings Institution,1968.
[4]李胜文,李大胜.中国工业全要素生产率的波动:1986~2005:基于细分行业的三投入随机前沿生产函数分析[J].数量经济技术经济研究,2008,25(5):43-54.
[5]王克强,武英涛,刘红梅.中国能源开采业全要素生产率的测度框架与实证研究[J].经济研究,2013(6):127-140.
[6]陈诗一.能源消耗、二氧化碳排放与中国工业的可持续发展[J].经济研究,2009(4):41-55.
[7] HALBFASS W. How successful has Chinese enterprise reform been? pitfalls in opposite biases and focus[J].Journal of Comparative Economics,1994,18(18):410-437.
[8]沈能,刘凤朝,赵建强.中国地区工业技术效率差异及其变动趋势分析:基于Malmquist生产率指数[J].科研管理,2007,28(4):16-22.
[9]庞瑞芝.经济转型期间中国工业增长与全要素能源效率[J].中国工业经济,2009(3):49-58.
[10]姚西龙,于渤.技术进步、结构变动与工业二氧化碳排放研究[J].科研管理,2012,33(8):35-40.
[11]孙早,刘李华,孙亚政.市场化程度、地方保护主义与R&D的溢出效应:来自中国工业的经验证据[J].管理世界,2014(8):78-89.
[12]周五七.能源价格、效率增进及技术进步对工业行业能源强度的异质性影响[J].数量经济技术经济研究,2016(2):130-143.
[13]王兵,吴延瑞,颜鹏飞.环境管制与全要素生产率增长:APEC的实证研究[J].经济研究,2008(5):19-32.
[14]OH D. A global Malmquist-Luenberger productivity index[J]. Journal of productivity analysis,2010,34(3):183-197.
[15]赵春雨,朱承亮,安树伟.生产率增长、要素重置与中国经济增长:基于分行业的经验研究[J].中国工业经济,2011(8):79-88.
[16]何小钢,张耀辉.技术进步、节能减排与发展方式转型:基于中国工业36个行业的实证考察[J].数量经济技术经济研究,2012(3):19-33.
[17]李斌,彭星,欧阳铭珂.环境规制、绿色全要素生产率与中国工业发展方式转变:基于36个工业行业数据的实证研究[J].中国工业经济,2013(4):56-68.
[18]SHAO L,HE Y,FENG C,ET A L. An empirical analysis of total-factor productivity in 30 sub-sub-sectors of China’s nonferrous metal industry[J]. Resources Policy,2016,50:264-269.
[19]SHAO Y,WANG S. Productivity growth and environmental efficiency of the nonferrous metals industry:an empirical study of China[J]. Journal of Cleaner Production,2016,137:1663-1671.
[20]JAHANSHAHLOO G R,VAKILI J,ZAREPISHEH M.A linear bilevel programming problem for obtaining the closest targets and minimum distance of a unit from the strong efficient frontier[J]. Asia-Pacific Journal of Operational Research,2012,29(2):1-19.
[21]APARICIO J,RUIZ J L,SIRVENT I. Closest targets and minimum distance to the Pareto-efficient frontier in DEA[J]. Journal of Productivity Analysis,2007,28(3):209-218.
[22]WANG L,CHEN Z,MA D,ET A L. Measuring carbon emissions performance in 123 countries:application of minimum distance to the strong efficiency frontier analysis[J]. Sustainability,2013,5(12):5319-5332.
[23]COOPER W W,RUIZ J L,SIRVENT I. Choosing weights from alternative optimal solutions of dual multiplier models in DEA[J]. European Journal of Operational Research,2007,180(1):443-458.
[24]FARE R,GROSSKOPF S,NORRIS M. Productivity growth,technical progress,and efficiency change in industrialized countries:reply[J]. The American Economic Review,1997,87(5):1040-1044.
[25]CHUNG Y H,FARE R,GROSSKOPF S. Productivity and undesirable outputs:a directional distance function approach[J]. Microeconomics,1997,51(3):229-240.
[26]柴志贤,黄祖辉.集聚经济与中国工业生产率的增长:基于DEA的实证分析[J].数量经济技术经济研究,2008(11):3-15.
[27]BARRO R,SALA-I-MARTIN X. Convergence across states and regions[J]. Brooking Papers on E-conomic Activity,1991,(1):107-182.
[28]BERNARD A B,JONES C I. Comparing apples to oranges:productivity convergence and measurement across industries and countries[J]. The American Economic Review,1996:1216-1238.