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基于多维效应的能源效率评估理论——以非参数DEA方法为例

蔡海霞

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文章导航> bob手机在线登陆学报（社会科学版）> 2016> (4): 9-18
蔡海霞. 基于多维效应的能源效率评估理论——以非参数DEA方法为例[J]. bob手机在线登陆学报（社会科学版）, 2016, (4): 9-18. doi: 10.15918/j.jbitss1009-3370.2016.0402
引用本文: 蔡海霞. 基于多维效应的能源效率评估理论——以非参数DEA方法为例[J]. bob手机在线登陆学报（社会科学版）, 2016, (4): 9-18.doi:10.15918/j.jbitss1009-3370.2016.0402
shu
CAI Haixia. Energy Efficiency Assessment Theory based on Multiple Benefits——Non-parametric Method DEA as an Example[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2016, (4): 9-18. doi: 10.15918/j.jbitss1009-3370.2016.0402
Citation: CAI Haixia. Energy Efficiency Assessment Theory based on Multiple Benefits——Non-parametric Method DEA as an Example[J].Journal of Beijing Institute of Technology (Social Sciences Edition), 2016, (4): 9-18.doi:10.15918/j.jbitss1009-3370.2016.0402
shu

基于多维效应的能源效率评估理论——以非参数DEA方法为例

doi:10.15918/j.jbitss1009-3370.2016.0402
  • 1.

    中原工学院 系统与工业工程技术研究中心, 郑州 450007

基金项目:

国家自然科学基金资助项目“基于云模型的环境经济系统动力学仿真与预警管理研究”（71173248）;河南省高等学校重点科研项目“十三五时期河南能源产业发展的制约因素及对策研究”（16A630040）

Energy Efficiency Assessment Theory based on Multiple Benefits——Non-parametric Method DEA as an Example

  • 1.

    Systems and Industrial Engineering Technology Research Center, Zhongyuan University of Technology, Zhengzhou 450007, China

  • 摘要:基于多维效应的能源效率评估使人们在达到经济增长目的的同时兼顾能源安全、竞争力、环境、社会和技术的可持续性。论述能源效率内涵演化发展的路径，在此基础上将能源效率的内涵扩展至多维效应。以非参数DEA（Data Envelopment Analysis）方法为例，研究基于多维效应的能源效率评估方法的演化与发展趋势。研究结果显示：采用DEA方法对基于多维效应的能源效率进行评估的发展趋势主要有以下3点：能源效率的内涵不断延伸；DEA模型向非导向非径向模型转变；能源效率评估的研究维度不断扩展。对多维效应的能源效率综合指标评价体系和评价方法还需做深入研究。
    Abstract:Energy efficiency assessment based on the multiple benefits allows people to achieve economic growth while taking energy security, competitiveness, environmental, social and technological sustainability into consideration. This paper discusses the path of evolution and development of energy efficiency connotation, and extends energy efficiency connotation to multiple benefits. It takes non-parametric DEA method as an example, and researches the evolution of the trend of energy efficiency evaluation method based in multiple benefits. The paper puts forward that there are mainly three trends in the assessment of energy efficiency based on multiple benefits by using DEA:energy efficiency connotation continuously expands; DEA model turns to non-oriented and non-radial model; the dimensions of assessment of energy efficiency continues to expand. Comprehensive index evaluation system and evaluation method of energy efficiency based on multiple benefits will be further studied.
  • [1] 魏楚,沈满洪.能源效率与能源生产率:基于DEA方法的省际数据比较[J].数量经济技术经济研究,2007(9):110-121.
    [2] ANG B W.Monitoring changes in economy-wide energy efficiency:from energy-GDP ratio to composite efficiency index[J].Energy Policy,2006(34):574-582.
    [3] ANG B W,MU A R,ZHOU P.Accounting frameworks for tracking energy efficiency trends[J].Energy Economics,2010,32:1209-1219.
    [4] PATTERSON M G.What is energy efficiency? concepts,indicators and methodological issues[J].Energy Policy,1996,24(5):377-390.
    [5] HU J L,WANG S H.Total-factor energy efficiency of regions in China[J].Energy Policy,2006,34(17):3206-3217.
    [6] 魏一鸣,廖华.中国能源报告(2010):能源效率研究[M].北京:经济科学出版社,2010.
    [7] BOSSEBOEUF D,CHATEAU B,LAPILLONNE B.Cross-country comparison on energy efficiency indicators:the on-going European effort towards a common methodology[J].Energy Policy,1997(25):673-682.
    [8] SCHEEL H.Undesirable outputs in efficiency valuations[J].European Journal of Operational Research,2001,132:400-410.
    [9] ZHOU P,ANG B W.Linear programming models for measuring economy-wide energy efficiency performance[J].Energy Policy,2008(36):2911-2916.
    [10] 王兵,张技辉,张华.环境约束下中国省际全要素能源效率实证研究[J].经济评论,2011(4):31-43.
    [11] 沈能,王群伟.中国能源效率的空间模式与差异化节能路径——基于DEA三阶段模型的分析[J].系统科学与数学,2013,33(4):457-467.
    [12] WU F,FAN L W,ZHOU P,ZHOU D Q.Industrial energy efficiency with CO2emissions in China:a nonparametric analysis[J].Energy Policy,2012(49):164-172.
    [13] APERGIS N,GOODNESS C,CARLOS P B,et al.Energy efficiency of selected OECD countries:a slacks based model with undesirable outputs[J].Energy Economics,2015,51(9):45-53.
    [14] 宫大鹏,赵涛,慈兆程.基于超效率SBM的中国省际工业化石能源效率评价及影响因素分析[J].环境科学学报,2015,35(2):585-595.
    [15] PYE M,MCKANE A.Making a stronger case for industrial energy efficiency by quantifying non-energy benefuts[J].Resources,Conservation and Recycling,2000,28(3-4):171-183.
    [16] SKUMATZ L A,GARDNER J.Methods and results for measuring non-energy benefits in the commercial and industrial sectors introduction:NEBs as omitted effects[C]//ACEEE summer study on energy efficiency in industry:cutting the high cost of energy.New York:West Point;2005:163-176.
    [17] MILLS E,ROSENFELDS A.Consumer non-energy benefits as a motivation for making energy-efficiency improvements[J].Energy,1996,21(7-8):707-720.
    [18] WORRELL E,LAITNER J A,RUTH M,et al.Productivity benefits of industrial energy efficiency measures[J].Energy 2003,28:1081-1098.
    [19] FLEITER T,HIRZEL S,WORRELL E.The characteristics of energy-efficiency measures-a neglected dimension[J].Energy Policy,2012,51:502-513.
    [20] ANDREA T,ENRICO C,ALESSIO D D.A framework to characterize energy efficiency measures[J].applied energy,2014,118:207-220.
    [21] 廖华,魏一鸣.能源效率及其与经济系统关系的再认识[J].公共管理学报,2010,7(1):28-34.
    [22] BOYD G A,PANG J X.Estimating the linkage between energy efficiency and productivity[J].Energy Policy,2000,28(5):289-296.
    [23] SORRELL S.The rebound effect:an assessment of the evidence for economy-wide savings from improved energy efficiency[R].UK Energy Research Center,2007.
    [24] SORRELL S,JOHN D,MATT S.Empirical estimates of the direct rebound effect a review[J].Energy Policy,2009(37):1356-1371.
    [25] SAUNDERS H D.Historical evidence for energy efficiency rebound in 30 US sectors and a toolkit for rebound analysts[J].Technological Forecasting&Social Change,2013(80):1317-1330.
    [26] 史丹,朱彤.能源经济学理论与政策研究述评[M].北京:经济管理出版社,2013.
    [27] 林伯强,杜克锐.要素市场扭曲对能源效率的影响[J].经济研究,2013(9):125-136.
    [28] RAMANATHAN R.A holistic approach to compare energy efficiencies of different transport modes[J].Energy Policy,2000,28:743-747.
    [29] HU J L,WANG S C.Total-factor energy efficiency of regions in China[J].Energy Policy,2006,34:3206-3217.
    [30] HU J L,KAO C H.Efficient energy-savings targets for APEC economies[J].Energy Policy,2007,35:373-382.
    [31] MUKHERJEE K.Energy use efficiency in the Indian manufacturing sector:an interstate analysis[J].Energy Policy,2008,36:662-672.
    [32] ZHANG X P,CHENG X M,YUAN J H.Total-factor energy eficiency in developing countries[J].Energy Policy,2011,39:644-650.
    [33] MAKRIDOU G,ANDRIOSOPOULOS K,DOUMPOS M,et al.Measuring the efficiency of energy-intensive industries across European countries[J].Energy Policy,2016,88(1):573-583.
    [34] ZHOU P,POH K L,ANG B W.A non-radial DEA approach to measuring environmental performance[J].European Journal of Operational Research,2007,178:1-9.
    [35] PICAZO A.J,PRIOR D.Environmental externalities and efficiency measurement[J].Journal of Environmental Management,2009,90:3332-3339.
    [36] MUKHERJEE K.Measuring energy eficiency in the context of an emerging economy:the case of indian manufacturing[J].European Journal of Operational Research,2010,201:933-941.
    [37] LOZANO S,GUTIERREZ E.Slacks-based measure of efficiency of airports with airplanes delays as undesirable outputs[J].Computers&Operations Research,2011,38:131-139.
    [38] SUEYOSHI T,GOTO M.Data envelopment analysis for environmental assessment:comparison between public and private ownership in petroleum industry[J].European Journal of Operational Research,2012,216:668-678.
    [39] ROBERTO G,DAVID C,ANA R G,et al.Energy efficiency in the European union:what can be learned from the joint application of directional distance functions and slacks-based measures?[J].Applied Energy,2014,132:137-154.
    [40] YUCEL O,MEHMET A.Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey[J].Energy,2015,93(1):495-510.
    [41] 魏楚,沈满洪.能源效率与能源生产率:基于DEA方法的省际数据比较[J].数量经济技术经济研究,2007(9):110-121.
    [42] HU J L,WANG S C.Total factor energy efficiency of regions in China[J].Energy Policy,2006,34(2):3206-3217.
    [43] 王群伟,周鹏,周德群.中国CO2排放绩效的动态变化、区域差异及影响因素[J].中国工业经济,2010(1):45-54.
    [44] LI L B,HU J L.Ecological total-factor energy efficiency of regions in China[J].Energy Policy,2012,46(7):216-224.
    [45] 郭凯,慈兆程.基于ETFEE指数的中国区域结构能源效率的实证研究[J].宏观经济研究,2014(10):99-107.
    [46] 王婷婷,朱建平.环境约束下电力行业能源效率研究[J].中国人口·资源与环境,2015,25(3):120-127.
    [47] 王珊珊,屈小娥.基于环境效应的中国制造业全要素能源效率变动研究[J].中国人口·资源与环境,2011(8):130-137.
    [48] MANDAL S K.Do undesirable output and environmental regulation matter inenergy efficiency analysis?[J].Evidence from Indian cement industry.Energy Policy,2010,38:6076-6083.
    [49] 成刚.数据包络分析方法与MaxDEA软件[M].北京:知识产权出版社,2014:23.
    [50] FARE R,GROSSKOPF S.Pasurka Jr C.Accounting for air pollution emissions in measures of state manufacturing productivity growth[J].Journal of Regional Sci,2001,41(3):381-409.
    [51] CHAMBERS R G,CHUNG Y,FARE R.Benefit and distance functions[J].Journal of Econom Theory,1996,70(2):407-419.
    [52] FARE R,GROSSKOPF S,PASURKA C A.Environmental production functions and environmental directional distance functions[J].Energy,2007,32:1055-1066.
    [53] CHANG T P,HU J L.Total-factor energy productivity growth,technical progress,and efficiency change:an empirical study of China[J].Applied Energy,2010,87:3262-3270.
    [54] OGGIONI G,RICCARDI R,TONINELLI R.Eco-efficiency of the world cement industry:a data envelopment analysis[J].Energy Policy,2011,39:2842-2854.
    [55] RICCARDI R,OGGIONI G,TONINELLI R.Efficiency analysis of world cement industry in presence of undesirable output:application of data envelopment analysis and directional distance function[J].Energy Policy,2012,44:140-152.
    [56] XIA X H,CHEN G Q.Energy abatement in Chinese industry:cost evaluation of regulation strategies and allocation alternatives[J].Energy Policy,2012,45:449-458.
    [57] TONE K.Dealing with undesirable outputs in DEA:a slacks-based measure approach[C].Presentation at NAPW Ⅲ,Toronto,2004:44-45.
    [58] ZHOU P,ANG B W,POH K L.Slacks-based efficiency measures for modeling environmental performance[J].Ecological Economics,2006,60:111-118.
    [59] SONG M L,YANG L,WU J,et al.Energy saving in China:analysis on the energy efficiency via bootstrap-DEA approach[J].Energy Policy,2013,57:1-6
    [60] ZHANG N,KONG F.B,YANNI Y.Measuring ecological total-factor energy efficiency incorporating regional heterogeneities in China[J].Ecological Indicators,2015,51:165-172.
    [61] 陶雪萍,王平,朱帮助.基于SBM-undesirable和Meta-frontier模型的APEC能源效率研究[J].bob手机在线登陆学报(社会科学版),2015,17(2):20-28.
    [62] ZHA Y,ZHAO L,BIAN Y.Measuring regional efficiency of energy and carbon dioxide emissions in China:a chance constrained DEA approach[J].Computers&Operations Research,2016,66(2):351-361.
    [63] ROSENBERG N.Energy efficient technology:past,present and future perspectives,how far can the world get on energy efficiency alone?[Z].Oak Ridge National Laboratory,1989.
    [64] MORK K.A,MYSEN H.T,OLSEN O.Macroeconomic responses to oil price increases and decreases in seven OECD countries[J].The Energy Journal,1994,15(4):19-35.
    [65] 吴旭晓.区域能源效率动态演化及其驱动因素研究——以豫鄂粤三省为例,bob手机在线登陆学报(社会科学版),2015,17(1):40-47.
    [66] 高振宇,王益.中国生产用能源消费变动的分解分析[J].统计研究,2007,24(3):52-57.
    [67] 傅晓霞,吴利学.中国能源效率及其决定机制的变化——基于变系数模型的影响因素分析[J].管理世界,2010(9):45-54.
    [68] 范如国,罗明.中国能源效率演化中的异质性特征及反弹效应影响[J].经济管理,2014,36(6):1-12.
    [69] 李兰冰.中国能源绩效的动态演化、地区差距与成因识别[J].管理世界,2015(11):40-52.
    [70] CHEN Y,LIU B S,SHEN Y-H,WANG X Q.The energy efficiency of China's regional construction industry based on the three-stage DEA model and the DEA-DA model[J].Journal of Civil Engineering,2015(8):1-14.
    [71] 沈能.能源投入、污染排放与中国能源经济效率的区域空间分布研究[J].财贸经济,2010(1):107-113.
    [72] 徐盈之,管建伟.中国区域能源效率趋同性研究:基于空间经济学视角[J].财经研究,2011,37(1):112-123.
    [73] 潘雄锋,杨越,张维维.中国区域能源效率的空间溢出效应研究[J].管理工程学报,2014,28(4):132-136.
    [74] 杨宇,刘毅.基于DEA-ESDA的中国省际能源效率及其时空分异研究[J].自然资源学报,2014,29(11):1815-1825.
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出版历程
  • 收稿日期:2015-11-04
  • 刊出日期:2016-08-02

基于多维效应的能源效率评估理论——以非参数DEA方法为例

doi:10.15918/j.jbitss1009-3370.2016.0402
  • 1. 中原工学院 系统与工业工程技术研究中心, 郑州 450007
    • 基金项目:

    国家自然科学基金资助项目“基于云模型的环境经济系统动力学仿真与预警管理研究”（71173248）;河南省高等学校重点科研项目“十三五时期河南能源产业发展的制约因素及对策研究”（16A630040）

  • 收稿日期:2015-11-04
  • 刊出日期:2016-08-02

摘要:基于多维效应的能源效率评估使人们在达到经济增长目的的同时兼顾能源安全、竞争力、环境、社会和技术的可持续性。论述能源效率内涵演化发展的路径，在此基础上将能源效率的内涵扩展至多维效应。以非参数DEA（Data Envelopment Analysis）方法为例，研究基于多维效应的能源效率评估方法的演化与发展趋势。研究结果显示：采用DEA方法对基于多维效应的能源效率进行评估的发展趋势主要有以下3点：能源效率的内涵不断延伸；DEA模型向非导向非径向模型转变；能源效率评估的研究维度不断扩展。对多维效应的能源效率综合指标评价体系和评价方法还需做深入研究。

English Abstract

蔡海霞. 基于多维效应的能源效率评估理论——以非参数DEA方法为例[J]. bob手机在线登陆学报（社会科学版）, 2016, (4): 9-18. doi: 10.15918/j.jbitss1009-3370.2016.0402
引用本文: 蔡海霞. 基于多维效应的能源效率评估理论——以非参数DEA方法为例[J]. bob手机在线登陆学报（社会科学版）, 2016, (4): 9-18.doi:10.15918/j.jbitss1009-3370.2016.0402
shu
CAI Haixia. Energy Efficiency Assessment Theory based on Multiple Benefits——Non-parametric Method DEA as an Example[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2016, (4): 9-18. doi: 10.15918/j.jbitss1009-3370.2016.0402
Citation: CAI Haixia. Energy Efficiency Assessment Theory based on Multiple Benefits——Non-parametric Method DEA as an Example[J].Journal of Beijing Institute of Technology (Social Sciences Edition), 2016, (4): 9-18.doi:10.15918/j.jbitss1009-3370.2016.0402
shu
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