规模收益可变下中国环境全要素生产率变化——基于改进的Malmquist-Luenberger指数
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- 英文论文题名：China's Total Factor Productivity Change under Variable Returns to Scale——Based on Malmquist-Luenberger Productivity Index
- 论文作者：胥敬华 ; 杜娟
- 英文论文作者：XU Jing-hua ; DU Juan ; School of Economics & Management ; Tongji University
- 年：2016
- 作者机构：同济大学经济与管理学院;
- 论文关键词：DEA ; 规模收益可变 ; Malmquist-Luenberger指数 ; 无解 ; ETFP
- 英文论文关键词：Data Envelopment Analysis ; variable returns to scale ; Malmquist-Luenberger index ; infeasible problem solution ; ETFP
- 会议召开时间：2016-11-12
- 会议录名称：第十八届中国管理科学学术年会论文集
- 英文会议录名称：Proceedings of the 18th Chinese Annual Conference on Management Science
- 语种：中文
- 分类号：F124;X196
- 学会代码：ZHYJ
- 会议名称：第十八届中国管理科学学术年会
- 会议地点：中国陕西西安
- 主办单位：中国优选法统筹法与经济数学研究会、西安交通大学、中国科学院科技战略咨询研究院、《中国管理科学》编辑部
- 学会名称：中国优选法统筹法与经济数学研究会
- 页数：7
- 文件大小：753k
- 原文格式：O
- 会议级别：全国
摘要
基于数据包络分析(DEA)的Malmquist-Luenberger指数在测算交叉时期的生产率变化时存在着无可行解的问题。已有研究均是在规模收益不变的情况下对Malmquist-Luenberger指数无解进行研究和改进。然而这种改进方法未能解决规模收益可变情况下Malmquist-Luenberger指数无解的问题。借鉴超效率的无解问题,提出了规模收益可变情况下Malmquist-Luenberger指数无解的改进方法。应用改进后的模型测算1999—2013年间中国环境全要素生产率(ETFP)的变化,结果表明考虑环境指标后,在规模收益可变的假设前提下,中国30个省份在1999—2013年间的环境全要素生产率处于停滞或者小幅下降状态,通过对指数的分解得出技术进步对我国环境经济效率提升有促进作用。
The Malmquist-Luenberger productivity index would cause the infeasible problem when measuring the mixed period change of the total factor productivity.The former research focuses on the infeasible issue under the hypothesis of the constant returns to scale and there are many meaningful solutions which could avoid the infeasible problem of Malmquist-Luenberger productivity index.However,the above solutions couldn't solve the infeasible issue of Malmqusit-Luenberger productivity index under the condition of the variable returns to scale.In this paper,the new solution which could avoid the infeasible problem even under the variable returns to scale is introduced,the total factor productivity in China is measured.This measurement would consider the environmental issue especially the pollutants and these thirty regions(province,municipalities,autonomous region)are measured.The periods from 1999 to 2013 is covered.The results of the environmental total factor productivity index in China during 1999 to 2013 indicate that China should enhance the innovation of technology which could improve the total factor productivity in China even considering the environmental issue.
The Malmquist-Luenberger productivity index would cause the infeasible problem when measuring the mixed period change of the total factor productivity.The former research focuses on the infeasible issue under the hypothesis of the constant returns to scale and there are many meaningful solutions which could avoid the infeasible problem of Malmquist-Luenberger productivity index.However,the above solutions couldn't solve the infeasible issue of Malmqusit-Luenberger productivity index under the condition of the variable returns to scale.In this paper,the new solution which could avoid the infeasible problem even under the variable returns to scale is introduced,the total factor productivity in China is measured.This measurement would consider the environmental issue especially the pollutants and these thirty regions(province,municipalities,autonomous region)are measured.The periods from 1999 to 2013 is covered.The results of the environmental total factor productivity index in China during 1999 to 2013 indicate that China should enhance the innovation of technology which could improve the total factor productivity in China even considering the environmental issue.
引文
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[15]国家行政学院宏观经济课题组.国际金融危机对中国经济的影响及对策研究[J],经济研究参考,2009,22(13):2-29.
[2]王应明,蓝以信.基于双前沿面数据包络分析的循环全局Malmquist指数[J].中国管理科学,2015,23(11):46-55.
[3]Chung Y.Fare R.Grosskopf S.Productivity and undesirable outputs:A directional distance function approach[J].Journal of Environmental Management,1997,51(3):229-240.
[4]杨国梁.DEA模型与规模收益研究综述[J].中国管理科学,2015,23(11):64-71.
[5]Caves D W.Christensen L R,Diewert W E.The economic theory of index numbers and the measurement of input,output,and productivity[J].Econometrica,1982,50(6):1393-1414.
[6]Oh D.A global Malmquist-Luenberger productivity index[J].Journal of Productivity Analysis,2010,34(3):183-197.
[7]Battese G E.Rao D S P.O'Donnell C J.A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies[J].Jouarnal of Productivity Analysis,2004,21(1):91-103.
[8]Fare R.Grosskopf SiPasurka C A,et al.Substitutability among undesirable outputs[J].Applied Economics,2012,44(l):39-47.
[9]Fare R.Grosskopf S.Pasurka C A.Potential gains from tradng bad outputs:The case of U.S.electric power plants[J],Resource and Energy Economics,2014,36(1):99-112.
[10]Lovell C A K,Rouse APB.Equivalent standard DEA models to provide super-efficiency scores[J].Journal of the Operational Research Society 2003,54(1):101-108.
[11]黄永春,石秋平.中国区域环境效率与环境全要素的研究[J].中国人口.资源与环境.2015,25(12):25-34.
[12]Pernman J.Gytarsky M,Hiraish T,etal.2006 IPCC guidelines for national greenhouse gas inventories[R].Overvierw,Intergovernmental Panel on Climate Change,2006.
[13]刘竹,耿涌,薛冰.城市能源消费碳排放核算方法[J].资源科学,2011,33(7):1325-1330.
[14]虞晓雯,雷明.面板VAR模型框架下我国低碳经济增长作用机制的动态分析[J].中国管理科学,2014,22(11):731-740.
[15]国家行政学院宏观经济课题组.国际金融危机对中国经济的影响及对策研究[J],经济研究参考,2009,22(13):2-29.
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