中国能源消费总量及能源效率研究
|
摘要
能源是人类生存与发展的物质基础，是经济发展的重要驱动因素，同时能源安全也是国家安全的一个重要方面。鉴于能源问题的复杂性，基于系统论的观点从投入产出角度对我国现阶段所面临的能源问题进行了概述，从能源消费总量及能源效率两方面对经济发展与能源消费之间的关系进行了研究。论文的主要成果及创新点如下所示：
（1）全要素能源效率指标体系的构建。将环境污染及人力资本因素引入全要素能源效率框架，构建了全要素能源效率指标体系。相比较传统的能源效率指标体系，一方面将环境污染视作生产过程中的一种负产出，考察了能源利用过程中的生态影响；另一方面将人力资本因素作为一项投入要素显明的包含在全要素能源效率框架之中，体现了人力资本对于生产过程的重要性。基于所建立的投入产出指标体系，进一步考察了基于节能、增产、减排联合目标并且能源与其他要素之间不具有可替代性情况下的各地区能源效率水平。
（2）能源效率测算模型的构建。在对经济发展优先、节能优先以及能源价格管制等情况进行分析的基础上，确定相应偏好锥的结构，并将其引入CCR模型，构建带有偏好锥的DEA模型，对各地区的全要素能源效率水平进行测算，将传统DEA模型的Pareto解扩展到了非支配解，体现了不同假设前提下，决策者对各投入产出要素的偏好。除此之外，为考察方法不同对测算结果的影响，在全要素能源效率及生产率变化率的测算中，同时使用了数据包络分析方法及随机前沿分析方法，并对两种方法的测算结果进行了比较。
（3）能源效率影响因素分析模型的构建。构建了包含单要素能源效率及全要素能源效率两种指标在内的具有联立方程组形式的能源效率影响因素计量分析模型。在考虑能源效率与其影响因素之间的关系时，通过对以往文献研究成果的总结及对影响路径的讨论，将所有影响因素区分为直接因素和间接因素。同时把全要素能源效率与单要素能源效率两种形式的效率指标纳入模型，与直接影响因素一同构建联立方程组模型，并运用似不相关回归（SUR）及PCSE方法，讨论了各个因素与不同的能源效率指标之间的关系以及这种关系的差异。该计量模型具有两方面的优点：一是能够从模型设定的角度降低内生变量的影响；二是避免了以往文献中仅考虑影响因素与单一定义形式的能源效率指标之间关系的局限，有利于消除理论及实践两方面存在的差异。
As material basis of human existence and development, energy is an importantdriving factor of economic development, and its security is also an aspect ofnational security. Due to the complexity of energy system, a survey on the energyissues which china faced is made in the view of input and output based on systemtheory, and a research is made on the relationship between the economic developmentand the energy consumption in aspects of both total energy consumption and energyefficiency. The main work and innovations of this dissertation include:
(1) Construction of the total-factor energy efficiency input-out index system.Environmental pollution and human capital are introduced into the total-factor energyefficiency index system. Compared to the traditional total-factor energy efficiencyindex system, this dissertation has improvements in the following two aspects:considering environmental pollution as a negative output of the productive process tostudy the ecological effect of energy utilization and embodying the importance of thehuman capital. Then based on the index system, the performance of each DMU isstudied in the situation that the joint goal includes energy conservation, economicgrowth and emission reduction, and there is no alternative effect between energy andother input factors.
(2) Construction of the energy efficiency evaluation models. The structure ofthe relative preference cones are defined on the basis of the discussions on thefollowing situations: economic growth is preferred or emission reduction is preferredand the energy price regulation exists. Then the preference cones are introduced intothe CCR model, so the DEA models with the preference cones are built up to measurethe efficiency of each DMU. Through this, the Pareto solutions are developed into thenon-dominated solutions and the different preference to the input and output factorsare considered. Besides, in order to study the affect of evaluation method on themeasurement results, both DEA methods and SFA methods are used to evaluate theenergy efficiency performance and the change rate of total-factor productivity, and thedifference between the results is examined by using the statistical test
(3) Construction of the Influencing factors analysis model of the energyefficiency. The model is built up which includes both single-factor energy efficiencyand total-factor energy efficiency and has the form of simultaneous equations. When consider the relationship between the energy efficiency and its influencing factors, thelatters are divided into direct and indirect factors. Then the single-factor energyefficiency and total-factor energy efficiency are both introduced in to build up thesimultaneous equations model with the direct influencing factors, and the coefficientsare estimated both by SUR and PCSE method to study the relations between theinfluencing factors and the different energy efficiency indexes and the difference ofthe relations. This model can both consider the influence of the definition of energyefficiency on the relation between the variables and great possibly eliminate the affectof endogenous variable in model construction.
（1）全要素能源效率指标体系的构建。将环境污染及人力资本因素引入全要素能源效率框架，构建了全要素能源效率指标体系。相比较传统的能源效率指标体系，一方面将环境污染视作生产过程中的一种负产出，考察了能源利用过程中的生态影响；另一方面将人力资本因素作为一项投入要素显明的包含在全要素能源效率框架之中，体现了人力资本对于生产过程的重要性。基于所建立的投入产出指标体系，进一步考察了基于节能、增产、减排联合目标并且能源与其他要素之间不具有可替代性情况下的各地区能源效率水平。
（2）能源效率测算模型的构建。在对经济发展优先、节能优先以及能源价格管制等情况进行分析的基础上，确定相应偏好锥的结构，并将其引入CCR模型，构建带有偏好锥的DEA模型，对各地区的全要素能源效率水平进行测算，将传统DEA模型的Pareto解扩展到了非支配解，体现了不同假设前提下，决策者对各投入产出要素的偏好。除此之外，为考察方法不同对测算结果的影响，在全要素能源效率及生产率变化率的测算中，同时使用了数据包络分析方法及随机前沿分析方法，并对两种方法的测算结果进行了比较。
（3）能源效率影响因素分析模型的构建。构建了包含单要素能源效率及全要素能源效率两种指标在内的具有联立方程组形式的能源效率影响因素计量分析模型。在考虑能源效率与其影响因素之间的关系时，通过对以往文献研究成果的总结及对影响路径的讨论，将所有影响因素区分为直接因素和间接因素。同时把全要素能源效率与单要素能源效率两种形式的效率指标纳入模型，与直接影响因素一同构建联立方程组模型，并运用似不相关回归（SUR）及PCSE方法，讨论了各个因素与不同的能源效率指标之间的关系以及这种关系的差异。该计量模型具有两方面的优点：一是能够从模型设定的角度降低内生变量的影响；二是避免了以往文献中仅考虑影响因素与单一定义形式的能源效率指标之间关系的局限，有利于消除理论及实践两方面存在的差异。
As material basis of human existence and development, energy is an importantdriving factor of economic development, and its security is also an aspect ofnational security. Due to the complexity of energy system, a survey on the energyissues which china faced is made in the view of input and output based on systemtheory, and a research is made on the relationship between the economic developmentand the energy consumption in aspects of both total energy consumption and energyefficiency. The main work and innovations of this dissertation include:
(1) Construction of the total-factor energy efficiency input-out index system.Environmental pollution and human capital are introduced into the total-factor energyefficiency index system. Compared to the traditional total-factor energy efficiencyindex system, this dissertation has improvements in the following two aspects:considering environmental pollution as a negative output of the productive process tostudy the ecological effect of energy utilization and embodying the importance of thehuman capital. Then based on the index system, the performance of each DMU isstudied in the situation that the joint goal includes energy conservation, economicgrowth and emission reduction, and there is no alternative effect between energy andother input factors.
(2) Construction of the energy efficiency evaluation models. The structure ofthe relative preference cones are defined on the basis of the discussions on thefollowing situations: economic growth is preferred or emission reduction is preferredand the energy price regulation exists. Then the preference cones are introduced intothe CCR model, so the DEA models with the preference cones are built up to measurethe efficiency of each DMU. Through this, the Pareto solutions are developed into thenon-dominated solutions and the different preference to the input and output factorsare considered. Besides, in order to study the affect of evaluation method on themeasurement results, both DEA methods and SFA methods are used to evaluate theenergy efficiency performance and the change rate of total-factor productivity, and thedifference between the results is examined by using the statistical test
(3) Construction of the Influencing factors analysis model of the energyefficiency. The model is built up which includes both single-factor energy efficiencyand total-factor energy efficiency and has the form of simultaneous equations. When consider the relationship between the energy efficiency and its influencing factors, thelatters are divided into direct and indirect factors. Then the single-factor energyefficiency and total-factor energy efficiency are both introduced in to build up thesimultaneous equations model with the direct influencing factors, and the coefficientsare estimated both by SUR and PCSE method to study the relations between theinfluencing factors and the different energy efficiency indexes and the difference ofthe relations. This model can both consider the influence of the definition of energyefficiency on the relation between the variables and great possibly eliminate the affectof endogenous variable in model construction.
引文
[1]赵媛,曾尊固,陈周骅.树立大能源系统观,促进能源可持续发展[J].经济地理，2001,(6):749-752.
[2]钱学森.论系统工程[M].长沙:湖南科技出版社,1996.
[3]祝金甫.中国环境污染损失趋势估算[J].中国统计,2009,(8):55-56.
[4] Birol F,Keppler J H.Prices, Technology development and the reboundeffect[J].Energy Policy,2000,28:457-469.
[5] Daly H E.Beyond Growth:The economics of Sustainabledevelopment[M].Boston:Beacon Press,1996.
[6] Meadows D L.Limits to growth-report to the Club of Rome[M].NewYork:University Books,1972.
[7] Banker R D.Estimaing most productive scale size using data envelopmentanalysis[J].European Journal of Operational Research,17(1):35-44.
[8] Sengupta J K.Data Envelopment analysis for efficiency measurement in thestochastic case[J].Computers and Operations Research,1987,14(2):117-129.
[9] Charnes A,Cooper W W,Wei Q L,et al.Cone ratio data envelopment analysis andmulti-objective programming[J].International Journal of SystemsScience,1989,20(7):1099-1118.
[10] Charnes A,Cooper W W,Huang Z M,et al.Polyhedral cone-ratio DEA modelswith an illustrative application to large commercial banks[J].Journal ofEconometrics,1990,46(1-2):73-91.
[11] Charnes A,Cooper W W,Golary B,Seiford L M, Stutz J.Foundation of dataenvelopment analysis for pareto-koopmans efficient empirical productionfunctions[J].Journal of Econometrics(Netherlands),1985,30(1-2):91-107.
[12] Charnes A,Cooper W W, Wei Q L.A semi-infinite multicriteria programmingapproach to data envelopment analysis with many decision-makingunits[D].Center for Cybernetic Studies Report,CCS551,Sep.1986.
[13] Charnes A,Cooper W W,Seiford L,Lawrence M,Stutz J.Invariant mutltiplicativeefficiency and piece wise Cobb-Douglas envelopment[J].Operations ResearchLetter,1983,(2):38-49.
[14] Charnes A,Cooper W W,Wei Q L,Huang Z M.Cone ratio data envelopmentanalysis and multi-objective programming[J].International Journal of SystemsScience,1998,20(7):1099-1118.
[15] Sengupta J K.Dynamic data envelopment analysis[J].International Journal ofSystems Science,1996,27(3):277-284.
[16] Seiford L M,Zhu J.Sensitivity analysis of DEA models for simultaneous changesin all the data[J].Journal of the Operational ResearchSociety,1998,49(10):1060-1071.
[17]吴双.全要素生产率测算的参数方法与非参数方法之比较[J].时代经贸,2008,6(2):63-64.
[18]郭京福,杨德礼.生产前沿参数方法与非参数方法的比较研究[J].系统工程理论与实践,1998(11):31-35.
[19]朱乔.数据包络分析（DEA）方法综述与展望[J].系统工程理论方法应用,1994，3(4):1-9.
[20] Rashe R, Tatom J.Energy resources and potential GNP[J].Federal Reserve Bankof St. Louis Review,1977,59(6):10-23.
[21]赵丽霞,魏巍贤.能源与经济增长模型研究[J].预测,1998,(6):32-34.
[22]马颖.基于MS-VAR模型的经济增长与能源消费关系研究[J].统计与决策,2012,(18):120-122.
[23]张劲文,葛新权.中国经济增长与能源消费依从关系:基于1978～2010年数据的实证研究.首都经济贸易大学学报,2012,(4):14-23.
[24]赵进文,范继涛.经济增长与能源消费内在依从关系的实证研究[J].经济研究,2007,(8):31-42.
[25]马超群,储慧斌,李科,周四清.中国能源消费与经济增长的协整与误差修正模型研究[J].系统工程,2004,(10):47-50.
[26]韩智勇,魏一鸣,焦建玲,等.中国能源消费与经济增长的协整性及因果关系分析[J].系统工程,2004,(12):17-21.
[27]曾胜,黄登仕.中国能源消费、经济增长与能源效率:基于1980～2007年的实证分析[J].数量经济技术经济研究,2009,(8):17-28.
[28]吴巧生,陈亮,张炎涛,成金华.中国能源消费与GDP关系的再检验:基于省际面板数据的实证分析[J].数量经济技术经济研究,2008,(6):27-39.
[29] Stem D I.Amultivariate cointegration analysis of the role of energy in the U.S.Macroeconomy[J].Energy Economies,2000,(22):267-253.
[30] John A A.The relationship between energy consumption, energy prices andeconomic growth:Time series evidence from Asian developingcountries[J].Energy Economies,2000,(22):615-625.
[31] Soytas U,Sari R.Energy consumption,economic growth,and carbonemissions:Challenges faced by an EU candidate member[J].EcologicalEconomics,2009,(68):1667-1675.
[32] Ozturk L,Acaravci A.The causal relationship between energy consumption andGDP in Albania,Bulgaria,Hungary and Rumania:Evidence from ARDL boundtesting approach[J].Applied Energy,2010,(87):1938-1943.
[33]魏子清,周德群等.中国三次产业经济增长与能源消费相互作用的动态特征[J].资源科学,2009,31(7):1211-1218.
[34]陶磊.中国能源消费和经济增长的动态关系:基于状态空间模型的变参数分析[J].数理统计与管理,2009,28(5):768-775.
[35]贾功祥,谢湘生.中国经济增长与能源消费动态关系:基于面板向量自回归模型的分析[J].首都经济贸易大学学报,2011,(4):34-40.
[36]高振宇,王益.我国能源生产率的地区划分及影响因素分析[J].数量经济技术经济研究,2006(9):46-57.
[37]魏楚,沈满洪.能源效率与能源生产率:基于DEA方法的升级数据比较[J].数量经济技术经济研究,2007(9):110-121.
[38]朱延福,滕玉华.技术进步、技术效率与区域能源效率:基于中国省区数据的实证分析[J].东岳论丛,2004,(4):42-46.
[39]宣能啸.我国能源效率问题分析[J].煤炭经济研究,2004(9):4-7.
[40]詹国华,陈治理.我国技术进步对能源效率影响的实证分析[J].统计与决策,2013(1):150-153.
[41]蒋金荷.提高能源效率与经济结构调整的策略分析[J],数量经济技术经济研究,2004(10):16-23.
[42] Berndt E R.Aggregate energy efficiency and productivitymeasurement[J].Annual Review of Energy,1978,3(1):225-249.
[43] Collins C.Transport energy management policies:Potential in NewZealand[M].Wellington:Ministry of Comerce,1992.
[44] Bosseboeuf D,Chateau B,Lapillone B.Cross-country comparison on energyefficiency indicators:The on-going European effort towards a commonmethodology[J].Energy Policy,1997,25(9):673-682.
[45] Patterson M G.What is energy efficiency?Concepts,indicators andmethodological issues[J].Energy Policy,1996,24(5):377-390.
[46] Phylipsen G M,Blok K,Worrell E.Handbook on international comparisons ofenergy efficiency in the manufacturing industry[M].Netherlands:UtrechtUniversity,1998.
[47] Hu Jin-Li,Wang Shih-Chuan.Total-factor energy efficiency of regions inChina[J].Energy Policy,2006,34(17):3206-3217.
[48]杨红亮,史丹.能效研究方法和中国各地区能源效率的比较[J].经济理论与经济管理,2008,(3):12-19.
[49] Charnes A,Cooper W W,Rhodes E.Measuring the efficiency of decision makingunits[J].European Journal of Operational Research,1978(2):429-444.
[50]师博,沈坤荣.市场分割下的中国全要素能源效率:基于超效率DEA方法的经验分析[J].世界经济,2008,(9):49-58.
[51]基于超效率DEA的中国区域能源利用效率研究[J].统计与信息论坛,2010,25(4):33-40.
[52]李国璋,霍宗杰.我国全要素能源效率及其收敛性[J].中国人口、资源与环境,2010,20(1):11-16.
[53] Battese G E,Coelli T J.Frontier Production Funtions, Technical Efficiency andPanel Data:with application to Paddy Farmer in India[J].Journal of ProductivityAnalysis,1992(3):153-169.
[54] Battese G E. Coelli T J. Prediction of firm-level technical efficiencies with ageneralised frontier production function and panel data[J].Journal ofEconometrics,1988(38),387-399.
[55] Battese G E,Coelli T J, Colby T C.Estimation of frontier production functionsand the efficiencies of Indian farms using panel data From ICRISAT's villagelevel studies[J].Journal of Quantitative Economics,1989(5),327-348.
[56] Pitt M M,Lee L F. Measurement and sources of technical inefficiency in theIndonesian Weaving Industry”[J].Journal of DevelopmentEconomics,1981(9),43-64.
[57] Aigner D J,Lovell C A K,Schmidt P. Formulation and estimation of stochasticfrontier production function models[J].Journal of Econometrics,1977,(6):21-37.
[58] Hughes M D. A stochastic frontier cost function for residential child careprovision[J].Journal of Applied Econometrics,1988(3),203-214.
[59] Stevenson R E.Likelihood functions for generalised stochastic frontierestimation[J].Journal of Econometrics,1980(13),57-66.
[60]史丹,吴利学,傅晓霞,吴滨.中国能源效率地区差异及其成因研究[J].管理世界,2008(2):35-43.
[61]何晓萍.中国工业的节能潜力及影响因素[J].金融研究,2011(10):34-46.
[62]姜雁斌,朱桂平.能源使用的技术无效性及其收敛性分析[J].数量经济技术经济研究,2007(10):108-119.
[63]查东兰,周德群,严斌剑.能源约束下的我国全要素生产率增长比较:基于技术可变的面板随机前沿生产模型[J].系统工程,2009(6):8-14.
[64]熊妍婷,黄宁,王华明.基于随机前沿模型的对外开放与能源技术效率提升[J].商业研究,2010(9):152-156.
[65]续竞秦,杨永恒.我国升级能源效率及其影响因素分析[J].山西财经大学学报,2012(9):71-78.
[66]熊妍婷,黄宁.对外开放与工业行业能源技术效率:基于随机前沿模型的分析[J].当代财经,2010(9):89-96.
[67]续竞秦,杨永恒.基于SFA的地区能源效率评价方法研究[J].煤炭经济研究,2012(6):37-44.
[68]Kambara T.The energy situation in China[J].China Quarterly,1992,(131):608-636.
[69] Ian U W.Explaining the declining energy intensity of the U.S.economy[J].Resource and Energy Economics,2008,30(1):21-49.
[70] Eyre N.A goden age or a false dawn?Energy efficiency in UK competitive energymarkers[J].Energy Policy,1998,26(12):963-972.
[71] Sinton J E,Fridley D G.What goes up:Recent trends in China’s energyconsumption[J].Energy Policy,2000,28(10):671-687.
[72] Mielnika O,Goldembergb J.Foreign direct investment and decoupling betweenenergy and gross domestic product in developing countries[J].EnergyPolicy,2002,(30):87-89.
[73]樊茂清,郑海涛,孙琳琳,任若恩.能源价格、技术变化和信息化投资对部门能源强度的影响[J].世界经济,2012,(5):22-44.
[74]杭雷鸣,屠梅曾.能源价格对能源强度的影响:以国内制造业为例[J].数量经济技术经济研究,2006,(12):93-100.
[75]吴献金,欧阳丹丹.影响中国能耗强度因素的实证分析[J].统计与决策,2012,(6):145-148.
[76]杨威,王成金,金凤君,等.中国工业能源消费强度的影响因素研究:基于省域工业数据的实证分析[J].自然资源学报,2013,(1):81-91.
[77]李未无.对外开放与能源利用效率:基于35个工业行业的实证研究[J].国际贸易问题,2008,(6):7-15.
[78]史丹.我国经济增长过程中能源利用效率的改进[J].经济研究,2002,(9):49-57.
[79]高大伟,周德群,王群伟.国际贸易、R&D技术溢出及其对中国全要素能源效率的影响[J].管理评论,2010,(8):122-128.
[80]谢建国,周露昭.进口贸易、吸收能力与国际R&D技术溢出:中国省区面板数据的研究[J].世界经济,2009,(9):68-81.
[81]张贤,周勇.外商直接投资对我国能源强度的空间效应分析[J].数量经济技术经济研究,2008,(1):101-108.
[82] Ang B W,Zhang F Q.A survey of index decomposition analysis in ecergy andenvironmental studies[J].Energy,2000,25(12):1149-1176.
[83] Greening L A,Davis W B.Schipper L, et al.Comparison of six Decompositionmethods:Application to aggregate energy intensity for manufacturing in10oecdcountries[J].Energy Economics,1997,19(3):375-390.
[84] Huang J P.Industry energy use and structural change:A case study of the People’sRepublic of China[J].Energy Economics,1993,15(2):131-136.
[85]刘叶,王磊.我国工业能源强度变动的影响因素分析:基于LMDI分解法[J].中国矿业大学学报(社会科学版),2009,(4):66-70.
[86]齐志新,陈文颖.结构调整还是技术进步:改革开放后我国能源效率提高的因素分析[J].上海经济研究,2006,(6):8-16.
[87]李国彰,王双.区域能源强度变动:基于GFI的因素分解分析[J].中国人口资源与环境，2008,18(4):62-66.
[88]张晓平,孙磊.中国工业能源消费强度变化的分解分析[J].资源科学，2010,32(9):1685-1892.
[89]史丹.中国能源效率的地区差异与节能潜力分析[J].中国工业经济,2006,(10):49-58.
[90] Muler P,de Groot.Sector energy and labor productivity convergence[J/OL].CPBDiscussion Paper,2003,(23).
[91]师博,张良悦.我国区域能源效率收敛性分析[J].当代财经,2008,(2):17-21.
[92]齐绍洲,罗威.中国地区经济增长与能源消费强度差异分析[J].经济研究,2007,(7):74-81.
[93]齐绍洲,李锴.发展中国家经济增长与能源消费强度收敛的实证分析[J].世界经济研究,2012,(2):8-13.
[94]李激扬,中国省级能源效率的收敛性分析[J].统计与决策,2012,(2):106-108.
[95]吴琦.中国省域能源效率评价研究[D].大连:大连理工大学,2010:17-18.
[96] Davis H S.Productivity accounting[M].Philadephia:University ofPennsylvania,1995.
[97] Solow R W.Technical change and the aggregate production function[J].Review ofeconomics of statistics,1957,39(3):312-320.
[98]李廉水,周勇.技术进步能提高能源效率么:基于中国工业部门的实证检验[J].管理世界,2006,(10):82-89.
[99]王群伟,周德群.中国全要素能源效率变动的实证研究[J].系统工程,2008,(7):75-80.
[100]蔡晓春,邹克.基于DEA-Malmquist的钢铁行业上市公司能源效率分析[J].统计与信息论坛,2012,(8):90-98.
[101]余泳泽,杜晓芬.技术进步、产业结构与能源效率:基于省域数据的空间面板计量分析[J].产业经济评论,2011,(4):36-66.
[102]王珊珊,屈小娥.技术进步、技术效率与制造业全要素能源效率:基于Malmquist指数的实证研究[J].山西财经大学学报,2011,(2):54-60.
[103]孙耀华,李忠民.中国各省区经济发展与碳排放脱钩关系研究[J].中国人口、资源与环境,2011,21(5):87-92.
[104]赵一平,孙启宏,段宁.中国经济发展与能源消费相应关系研究:基于相对“脱钩”与“复钩”理论的实证研究[J].科研管理,2006,27(3):128-134.
[105]邓华,段宁.“脱钩”评价模式及其对循环经济的影响[J].中国人口、资源与环境,2004,14(6):44-47.
[106]李忠民,宋凯,孙耀华.碳排放与经济增长脱钩指标的实证测度[J].统计与决策,2011,(14):86-88.
[107]李忠民,姚宇,庆东瑞.产业发展、GDP增长与二氧化碳排放脱钩关系研究[J].统计与决策,2010,(11):108-111.
[108]李效顺,曲福田.城乡建设用地变化的脱钩研究[J].中国人口、资源与环境,2008,18(5):179-184.
[109]李东民,庆东瑞.经济增长与二氧化碳排放脱钩实证研究:以陕西省为例[J].福建论坛(人文社会科学版),2010,(2):67-72.
[110] Tapio P.Towards a theory of decoupling:Degrees of decoupling in the EU andthe case of road traffic in Finland between1970and2001[J].Journal ofTransport Policy,2005,(12).
[111] Granger C W J.Investigating causal relations by economic model andcross-spectral methods[J].Econometrica,1969,37:424-428.
[112]陈强.高级计量经济学及Stata应用[M].北京:高等教育出版社,2010:106-107.
[113] Box Gerrge E P,Jenkins G M.Time series analysis:Forecasting andcontrol[M].San Francisco:Holden-DAY,1976.
[114]王庆一.能源效率及相关政策和技术[J].应用能源技术,2002,(6):1-10.
[115]袁晓玲,张宝山,杨万平.基于环境污染的中国全要素能源效率研究[J].中国工业经济,2009,(8):76-86.
[116] Smith A.An inquiry into the nature and causes of the wealth of nations,edsR.h.Campbell ad A.S. Skinner[M].Oxford:Clarendon Press,1979.
[117] Ricardo D.On the principles of political economy andtaxation[M].Cambrige:Cambrige University Press,1951.
[118] Keynes J M.The general theory of employment, interest and money[M].NewYork:Atlantic Publishers&Distributors,1936.
[119] Zou P,Ang B W,Poh K L.Asurvey of data envelopment analysis in energy andenvironmental studies[J].European Journals of OperationalResearch,2008,(189):1-18.
[120] Mukherjec K.Energy use efficiency in U.S. manufacturing:A nonparametricanalysis[J].Energy Economics,2008,(30):76-79.
[121] Onut S,Soner S.Analysis of energy use and efficiency in Turkish manufacturingsector SEMs[J].Energy Conversion and Management,2007,48(2):384-394.
[122] Yeh T L,Chen T Y,Lai P Y.Acomparative study of energy utilization efficiencybetween Taiwan and China[J].Energy Policy,2010,38(5):2386-2394.
[123] Mukherjee K.Measuring energy efficiency in the context of an emergingeconomy:the case of Indian manufacturing[J].European Journal of OperationalResearch,2010,(201):933-941.
[124] Seiford L M,Zhu J.Modeling undesrirable factors in efficiencyevaluation[J].European Journal of Operational Research,202,142(1):16-20.
[125] Satoshi Honma,Hu Jin-Li.Total-factor energy efficiency of regions inJapan[J].Energy Policy,2008,36(2):821-833.
[126] Chow G C.Capital Formation and Economic Growth in China[J].QuarterlyJournal of Economics,1993,108(3):809-842.
[127] Stockman A C.Anticipated Inflation and the Capital Stock in a Cash in-advanceeconomy[J].Journal of monetary economics,1981,8(3):387-393.
[128] Perkins D H.Reforming China’s economic system[J].Journal of economicliterature,1998,26(2):601-645.
[129]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.
[130] Seiford L M,Zhu J.Modeling undesrirable factors in efficiencyevaluation[J].European Journal of Operational Research,202,142(1):16-20.
[131] Reihard S,Lovell C A K,Thijssen G J.Environmental efficiency with multipleenvironmentally detrimental variables:estimated with SFA andDEA[J].European Journal of Operational Research,2000,121(2):287-303.
[132] Hailu A,Veeman T S.Non-parametric productivity analysis with undesirableoutputs:An application to the Canadian pulp and paper industry[J].AmericanJournal of Agricultural Economics,2001,83(3):605-616.
[133] Fare R,Grosskopf S,Lovell C A K,et al.Multilateral productivity comparisonswhen some outputs are undesirable:A nonparametric approach[J].The Reviewof Economics and Statistics,1989,71(1):90-98.
[134] Chung Y H,Fare R,Grosskopf S.Productivity and undesirable outputs:adirectional distance function approcach[J].Journal of EnvironmentalManagement,1997,51(3):229-240.
[135] Coelli T J.A guide to DEAP version2.1:A data envelopment analysis(computerprogram)[R].Center for Efficiency and Productivity Analysis WorkingPaper,1996,Austalia.
[136] Banker R,Charnes A,Cooper W W.Some models for estimating technical andscale inefficies in data envelopment analysis.ManagementScience,1984,30(9):1078-1092.
[137]梁志森.基于DEA方法的我国商业银行效率测度及影响因素分析[D].上海:华东师范大学商学院，2006.
[138] Anderson P,Petersen N C.A procedure for ranking efficient units in dataenvelopment analysis[J].Management Science,1993,39(10):1261-1264.
[139]郭均鹏,吴育华.超效率DEA模型的区间扩展[J].中国管理科学,2005,13(2):40-43.
[140] Yao Chen.Ranking efficient units in DEA[J].The International Journal ofManagement Science,2004,32(3):213-219.
[141]武春友,吴琦.基于超效率DEA的能源效率评价模型研究[J].管理学报，2009,6(11):1460-1465.
[142]索贵彬,张晓林.基于超效率DEA方法的第三产业竞争力评价[J].统计研究,2005(7):58-60.
[143]郭彬,逯雨波.我国中部六省节能减排效率测评及其影响因素分析:基于超效率DEA模型和Tobit模型,2012,(12):58-62.
[144]段万春,李坚.基于超效率DEA的大学科技园运作机制效率评价方法[J].现代化农业,2012,(12):52-56.
[145]姚禄仕,赵萌.基于超效率DEA模型的创新型企业创新绩效评价研究:以安徽省为例[J].财会通讯,2012,36:90-91.
[146]匡海波.基于超效率CCR-DEA的中国港口上市公司成本效率评价研究[J].中国管理科学,227,15(3):142-148.
[147]刘砚平,刘庆庆.我国商业银行效率实证研究:基于超效率DEA模型和Malmquist指数模型[J].山东财经学院学报,2012,(6):28-33.
[148] Chambers R G,Chung Y,F re R.Benefit and distance function[J].Journal ofEconomic Theory,1996,70:407-419.
[149] Yu P L.Cone convexity,cone extreme points and nondominated solutions indecision problems with multiobjective[J].Journal of Optimization Theory andApplication,1974,14:319-377.
[150]魏权龄.数据包络分析[M].北京:科学出版社,2004:346-349.
[151] Meeusen W,Van Den Broeck.Efficiency estimation from Cobb-Douglasproduction function with composed error[J].International EconomicReview,1977,(18):435-444.
[152] Kalirajan. An econometric analysis of yield variability in paddyproduction[J].Canadian Journal of Agricultrral Economics,1981,(29):283-294.
[153] Paul F,Vencappa D,Diacon S,Klumpes P,O’Brien C.Market structure and theefficiency of European insurance companies:Astochastic frontieranalysis[J].Journal of Banking and Finance,2008,32(1):86-100.
[154]闫冰,冯根福.基于随机前沿函数的中国工业R&D效率分析[J].当代经济科学,2005,27(6):14-19.
[155]岳书敬.长三角地区高技术产业创新效率的经验分析[J].南京社会科学,2008,(5):13-18.
[156] Mark M P,Lung F L.The measurement and sources of technical inefficiency inthe Indonesian weaving industry[J].Journals of DevelopmentEconomics,1981,9(1):43-64.
[157]周四军,胡瑞,王欣.我国商业银行效率DEA测评模型的优化研究[J].财经理论与实践，2012,(6):17-21.
[158]姜彤彤.R&D投入对高技术产业技术效率的影响研究:基于省际面板数据和SFA方法的实证分析[J].工业技术经济，2012,(10):100-107.
[159]刘聪,石奇,刘玉飞.中国工业技术效率区域差异实证研究[J].天津商业大学学报，2012,(5):42-48.
[160]蔡之兵,周俭初.江浙沪鲁粤四省一市技术创新效率比较研究[J].首都经济贸易大学学报,2012,(5):90-96.
[161] Battese G E,Coelli T J. Frontier production functions,technical efficiency andpanel data: With application to Paddy Farmers in India[J]. Journal ofProductivity Analysis,1992,(3),:153-169.
[162]王争,史晋川.转型时期中国工业生产绩效的地区差异及波动性解释:基于随机前沿生产函数的分析[J].世界经济文汇,2007,(4):29-45.
[163] Denison E F.Why growth rate differ:postwar experience in nine westerncountries[M].Washington:Brookings Institution Publishing,1967.
[164] Maddison A.Growth and Slowdown in Advanced CapitalistEconomics:Techniques of quantities assessment[J].Economicsliteratures,1987,25(2):649-698.
[165]徐磊,黄凌云.FDI技术溢出及其区域创新能力门槛效应研究[J].科研管理,2009,30(2):16-25.
[166]刘凤朝.基于专利结构视角的中国区域创新能力差异研究.管理评论,2006,(11):43-47.
[167] Griliche Z.Patents statistics as economic indicators:A survey.Journal ofEconomic Literature,1990,28(4):1661-1707.
[168]吴延兵.R&D存量、知识函数与生产效率[J].经济学(季刊),2006,5(4):1131-1156.
[169] Pakes A,Griliches Z.Patents and R&D at the firm level:Afirstlook.InZ.Griliches(Ed),R&D Patents and Productivity
[M].Chicago:University of Chicago Press,1984.
[170] Nasierowski W,Arcelus F J.On the efficiency of national innovationsystems.Socio-Economic Planning Sciences,2003,37:215-234.
[171]杨正林.中国能源效率的影响因素研究[D].武汉:华中科技大学经济学院，2009.
[172] WOOLDRIDGE J M.Econometric analysis of cross section and paneldata[M].Cambridge,MA:MIT Press,1985:282-283.
[173] DRUKKER D M.Testing for serial correlation in linear panel-data models[J].Stata Journal,2003(3):168-177.
[174] Barro R J.X Sala-i-Martin.Public finance in models of economicgrowth[J].Review of Economic Studies,1992,59(4):645-661.
[175]林毅夫,刘明兴.中国的经济增长收敛与收入分配.世界经济,2003,(8):2-33.
[176] Xavier X,Sala-i-Martin.Regional cohesion:evidence and theories of regionalgrowth and convergence.European Economic Review,1996,40(6):1325-1352.
[177]刘乃全。区域收敛与发散理论.外国经济与管理,2000,25(8):19-23.
[178]王志刚,龚六堂,陈玉宇.地区间生产效率与全要素生产率增长率分解(1978-2003).中国社会科学,2006,(2):55-66.
[179] Malmquist S.Index numbers and indifference surfaces[J].Trabajos deEstatistica,1953,(4):209-242.
[180] Shephard R W.Cost and Production Functions[M].Princeton UniversityPress,Princeton,New Jersey,1953.
[181] Caves D W,Christensen L R,Diewert W F.The economic theory of indexnumber and the measurement of input, output, andproductivity[J].Econometrica,1982,50:1193-1414.
[182] Fare R,Grosskopf S,Lovell C A K.Production frontier,Cambridge:CambridgeUniversity Press,1994.
[183] F re R,Grosskopf S,Ross P.Malmquist productivity indexex:Asurvey of theoryand practice[M].Kluwer Academic Plublishers,Boston,1998.
[184] Fare R,Grosskopf S,Lovell C A K.Production frontiers[M].CambridgeUniversity Press,Cambridge,1994.
[185]匡远凤.技术效率、技术进步、要素积累与中国农业经济增长:基于SFA的经验分析[J].数量经济技术经济研究,2012,(1):3-18.
[186]张唯实,李国璋,周彩云.中国区域生产效率与西部经济发展研究[J].华东经济管理,2010,(06):34-38.
[187]金炯振.中国农业全要素生产率增长的实证分析：1978~2007年:基于随机前沿（SFA）方法[J].中国农村经济,2009,(9):36-47.
[188]刘小二,谢月华.基于SFA我国区域全要素生产率差异的实证研究[J].统计教育,2009,(7):32-41.
[189]李清彬,刘玉海.中国的集体工业:规模、效率及其影响因素[J].财经论丛,2011,(4):3-9.
[190]苏飞.大“珠三角”地区城市经济增长因素分析:基于面板随机前沿模型[J].西安财经学院学报,2012,(1):80-86.
[191] Kunmbhakar S,Lovell C.Stochastic frontier analysis[M].New York:CambridgeUniversity Press,2000.
[2]钱学森.论系统工程[M].长沙:湖南科技出版社,1996.
[3]祝金甫.中国环境污染损失趋势估算[J].中国统计,2009,(8):55-56.
[4] Birol F,Keppler J H.Prices, Technology development and the reboundeffect[J].Energy Policy,2000,28:457-469.
[5] Daly H E.Beyond Growth:The economics of Sustainabledevelopment[M].Boston:Beacon Press,1996.
[6] Meadows D L.Limits to growth-report to the Club of Rome[M].NewYork:University Books,1972.
[7] Banker R D.Estimaing most productive scale size using data envelopmentanalysis[J].European Journal of Operational Research,17(1):35-44.
[8] Sengupta J K.Data Envelopment analysis for efficiency measurement in thestochastic case[J].Computers and Operations Research,1987,14(2):117-129.
[9] Charnes A,Cooper W W,Wei Q L,et al.Cone ratio data envelopment analysis andmulti-objective programming[J].International Journal of SystemsScience,1989,20(7):1099-1118.
[10] Charnes A,Cooper W W,Huang Z M,et al.Polyhedral cone-ratio DEA modelswith an illustrative application to large commercial banks[J].Journal ofEconometrics,1990,46(1-2):73-91.
[11] Charnes A,Cooper W W,Golary B,Seiford L M, Stutz J.Foundation of dataenvelopment analysis for pareto-koopmans efficient empirical productionfunctions[J].Journal of Econometrics(Netherlands),1985,30(1-2):91-107.
[12] Charnes A,Cooper W W, Wei Q L.A semi-infinite multicriteria programmingapproach to data envelopment analysis with many decision-makingunits[D].Center for Cybernetic Studies Report,CCS551,Sep.1986.
[13] Charnes A,Cooper W W,Seiford L,Lawrence M,Stutz J.Invariant mutltiplicativeefficiency and piece wise Cobb-Douglas envelopment[J].Operations ResearchLetter,1983,(2):38-49.
[14] Charnes A,Cooper W W,Wei Q L,Huang Z M.Cone ratio data envelopmentanalysis and multi-objective programming[J].International Journal of SystemsScience,1998,20(7):1099-1118.
[15] Sengupta J K.Dynamic data envelopment analysis[J].International Journal ofSystems Science,1996,27(3):277-284.
[16] Seiford L M,Zhu J.Sensitivity analysis of DEA models for simultaneous changesin all the data[J].Journal of the Operational ResearchSociety,1998,49(10):1060-1071.
[17]吴双.全要素生产率测算的参数方法与非参数方法之比较[J].时代经贸,2008,6(2):63-64.
[18]郭京福,杨德礼.生产前沿参数方法与非参数方法的比较研究[J].系统工程理论与实践,1998(11):31-35.
[19]朱乔.数据包络分析（DEA）方法综述与展望[J].系统工程理论方法应用,1994，3(4):1-9.
[20] Rashe R, Tatom J.Energy resources and potential GNP[J].Federal Reserve Bankof St. Louis Review,1977,59(6):10-23.
[21]赵丽霞,魏巍贤.能源与经济增长模型研究[J].预测,1998,(6):32-34.
[22]马颖.基于MS-VAR模型的经济增长与能源消费关系研究[J].统计与决策,2012,(18):120-122.
[23]张劲文,葛新权.中国经济增长与能源消费依从关系:基于1978～2010年数据的实证研究.首都经济贸易大学学报,2012,(4):14-23.
[24]赵进文,范继涛.经济增长与能源消费内在依从关系的实证研究[J].经济研究,2007,(8):31-42.
[25]马超群,储慧斌,李科,周四清.中国能源消费与经济增长的协整与误差修正模型研究[J].系统工程,2004,(10):47-50.
[26]韩智勇,魏一鸣,焦建玲,等.中国能源消费与经济增长的协整性及因果关系分析[J].系统工程,2004,(12):17-21.
[27]曾胜,黄登仕.中国能源消费、经济增长与能源效率:基于1980～2007年的实证分析[J].数量经济技术经济研究,2009,(8):17-28.
[28]吴巧生,陈亮,张炎涛,成金华.中国能源消费与GDP关系的再检验:基于省际面板数据的实证分析[J].数量经济技术经济研究,2008,(6):27-39.
[29] Stem D I.Amultivariate cointegration analysis of the role of energy in the U.S.Macroeconomy[J].Energy Economies,2000,(22):267-253.
[30] John A A.The relationship between energy consumption, energy prices andeconomic growth:Time series evidence from Asian developingcountries[J].Energy Economies,2000,(22):615-625.
[31] Soytas U,Sari R.Energy consumption,economic growth,and carbonemissions:Challenges faced by an EU candidate member[J].EcologicalEconomics,2009,(68):1667-1675.
[32] Ozturk L,Acaravci A.The causal relationship between energy consumption andGDP in Albania,Bulgaria,Hungary and Rumania:Evidence from ARDL boundtesting approach[J].Applied Energy,2010,(87):1938-1943.
[33]魏子清,周德群等.中国三次产业经济增长与能源消费相互作用的动态特征[J].资源科学,2009,31(7):1211-1218.
[34]陶磊.中国能源消费和经济增长的动态关系:基于状态空间模型的变参数分析[J].数理统计与管理,2009,28(5):768-775.
[35]贾功祥,谢湘生.中国经济增长与能源消费动态关系:基于面板向量自回归模型的分析[J].首都经济贸易大学学报,2011,(4):34-40.
[36]高振宇,王益.我国能源生产率的地区划分及影响因素分析[J].数量经济技术经济研究,2006(9):46-57.
[37]魏楚,沈满洪.能源效率与能源生产率:基于DEA方法的升级数据比较[J].数量经济技术经济研究,2007(9):110-121.
[38]朱延福,滕玉华.技术进步、技术效率与区域能源效率:基于中国省区数据的实证分析[J].东岳论丛,2004,(4):42-46.
[39]宣能啸.我国能源效率问题分析[J].煤炭经济研究,2004(9):4-7.
[40]詹国华,陈治理.我国技术进步对能源效率影响的实证分析[J].统计与决策,2013(1):150-153.
[41]蒋金荷.提高能源效率与经济结构调整的策略分析[J],数量经济技术经济研究,2004(10):16-23.
[42] Berndt E R.Aggregate energy efficiency and productivitymeasurement[J].Annual Review of Energy,1978,3(1):225-249.
[43] Collins C.Transport energy management policies:Potential in NewZealand[M].Wellington:Ministry of Comerce,1992.
[44] Bosseboeuf D,Chateau B,Lapillone B.Cross-country comparison on energyefficiency indicators:The on-going European effort towards a commonmethodology[J].Energy Policy,1997,25(9):673-682.
[45] Patterson M G.What is energy efficiency?Concepts,indicators andmethodological issues[J].Energy Policy,1996,24(5):377-390.
[46] Phylipsen G M,Blok K,Worrell E.Handbook on international comparisons ofenergy efficiency in the manufacturing industry[M].Netherlands:UtrechtUniversity,1998.
[47] Hu Jin-Li,Wang Shih-Chuan.Total-factor energy efficiency of regions inChina[J].Energy Policy,2006,34(17):3206-3217.
[48]杨红亮,史丹.能效研究方法和中国各地区能源效率的比较[J].经济理论与经济管理,2008,(3):12-19.
[49] Charnes A,Cooper W W,Rhodes E.Measuring the efficiency of decision makingunits[J].European Journal of Operational Research,1978(2):429-444.
[50]师博,沈坤荣.市场分割下的中国全要素能源效率:基于超效率DEA方法的经验分析[J].世界经济,2008,(9):49-58.
[51]基于超效率DEA的中国区域能源利用效率研究[J].统计与信息论坛,2010,25(4):33-40.
[52]李国璋,霍宗杰.我国全要素能源效率及其收敛性[J].中国人口、资源与环境,2010,20(1):11-16.
[53] Battese G E,Coelli T J.Frontier Production Funtions, Technical Efficiency andPanel Data:with application to Paddy Farmer in India[J].Journal of ProductivityAnalysis,1992(3):153-169.
[54] Battese G E. Coelli T J. Prediction of firm-level technical efficiencies with ageneralised frontier production function and panel data[J].Journal ofEconometrics,1988(38),387-399.
[55] Battese G E,Coelli T J, Colby T C.Estimation of frontier production functionsand the efficiencies of Indian farms using panel data From ICRISAT's villagelevel studies[J].Journal of Quantitative Economics,1989(5),327-348.
[56] Pitt M M,Lee L F. Measurement and sources of technical inefficiency in theIndonesian Weaving Industry”[J].Journal of DevelopmentEconomics,1981(9),43-64.
[57] Aigner D J,Lovell C A K,Schmidt P. Formulation and estimation of stochasticfrontier production function models[J].Journal of Econometrics,1977,(6):21-37.
[58] Hughes M D. A stochastic frontier cost function for residential child careprovision[J].Journal of Applied Econometrics,1988(3),203-214.
[59] Stevenson R E.Likelihood functions for generalised stochastic frontierestimation[J].Journal of Econometrics,1980(13),57-66.
[60]史丹,吴利学,傅晓霞,吴滨.中国能源效率地区差异及其成因研究[J].管理世界,2008(2):35-43.
[61]何晓萍.中国工业的节能潜力及影响因素[J].金融研究,2011(10):34-46.
[62]姜雁斌,朱桂平.能源使用的技术无效性及其收敛性分析[J].数量经济技术经济研究,2007(10):108-119.
[63]查东兰,周德群,严斌剑.能源约束下的我国全要素生产率增长比较:基于技术可变的面板随机前沿生产模型[J].系统工程,2009(6):8-14.
[64]熊妍婷,黄宁,王华明.基于随机前沿模型的对外开放与能源技术效率提升[J].商业研究,2010(9):152-156.
[65]续竞秦,杨永恒.我国升级能源效率及其影响因素分析[J].山西财经大学学报,2012(9):71-78.
[66]熊妍婷,黄宁.对外开放与工业行业能源技术效率:基于随机前沿模型的分析[J].当代财经,2010(9):89-96.
[67]续竞秦,杨永恒.基于SFA的地区能源效率评价方法研究[J].煤炭经济研究,2012(6):37-44.
[68]Kambara T.The energy situation in China[J].China Quarterly,1992,(131):608-636.
[69] Ian U W.Explaining the declining energy intensity of the U.S.economy[J].Resource and Energy Economics,2008,30(1):21-49.
[70] Eyre N.A goden age or a false dawn?Energy efficiency in UK competitive energymarkers[J].Energy Policy,1998,26(12):963-972.
[71] Sinton J E,Fridley D G.What goes up:Recent trends in China’s energyconsumption[J].Energy Policy,2000,28(10):671-687.
[72] Mielnika O,Goldembergb J.Foreign direct investment and decoupling betweenenergy and gross domestic product in developing countries[J].EnergyPolicy,2002,(30):87-89.
[73]樊茂清,郑海涛,孙琳琳,任若恩.能源价格、技术变化和信息化投资对部门能源强度的影响[J].世界经济,2012,(5):22-44.
[74]杭雷鸣,屠梅曾.能源价格对能源强度的影响:以国内制造业为例[J].数量经济技术经济研究,2006,(12):93-100.
[75]吴献金,欧阳丹丹.影响中国能耗强度因素的实证分析[J].统计与决策,2012,(6):145-148.
[76]杨威,王成金,金凤君,等.中国工业能源消费强度的影响因素研究:基于省域工业数据的实证分析[J].自然资源学报,2013,(1):81-91.
[77]李未无.对外开放与能源利用效率:基于35个工业行业的实证研究[J].国际贸易问题,2008,(6):7-15.
[78]史丹.我国经济增长过程中能源利用效率的改进[J].经济研究,2002,(9):49-57.
[79]高大伟,周德群,王群伟.国际贸易、R&D技术溢出及其对中国全要素能源效率的影响[J].管理评论,2010,(8):122-128.
[80]谢建国,周露昭.进口贸易、吸收能力与国际R&D技术溢出:中国省区面板数据的研究[J].世界经济,2009,(9):68-81.
[81]张贤,周勇.外商直接投资对我国能源强度的空间效应分析[J].数量经济技术经济研究,2008,(1):101-108.
[82] Ang B W,Zhang F Q.A survey of index decomposition analysis in ecergy andenvironmental studies[J].Energy,2000,25(12):1149-1176.
[83] Greening L A,Davis W B.Schipper L, et al.Comparison of six Decompositionmethods:Application to aggregate energy intensity for manufacturing in10oecdcountries[J].Energy Economics,1997,19(3):375-390.
[84] Huang J P.Industry energy use and structural change:A case study of the People’sRepublic of China[J].Energy Economics,1993,15(2):131-136.
[85]刘叶,王磊.我国工业能源强度变动的影响因素分析:基于LMDI分解法[J].中国矿业大学学报(社会科学版),2009,(4):66-70.
[86]齐志新,陈文颖.结构调整还是技术进步:改革开放后我国能源效率提高的因素分析[J].上海经济研究,2006,(6):8-16.
[87]李国彰,王双.区域能源强度变动:基于GFI的因素分解分析[J].中国人口资源与环境，2008,18(4):62-66.
[88]张晓平,孙磊.中国工业能源消费强度变化的分解分析[J].资源科学，2010,32(9):1685-1892.
[89]史丹.中国能源效率的地区差异与节能潜力分析[J].中国工业经济,2006,(10):49-58.
[90] Muler P,de Groot.Sector energy and labor productivity convergence[J/OL].CPBDiscussion Paper,2003,(23).
[91]师博,张良悦.我国区域能源效率收敛性分析[J].当代财经,2008,(2):17-21.
[92]齐绍洲,罗威.中国地区经济增长与能源消费强度差异分析[J].经济研究,2007,(7):74-81.
[93]齐绍洲,李锴.发展中国家经济增长与能源消费强度收敛的实证分析[J].世界经济研究,2012,(2):8-13.
[94]李激扬,中国省级能源效率的收敛性分析[J].统计与决策,2012,(2):106-108.
[95]吴琦.中国省域能源效率评价研究[D].大连:大连理工大学,2010:17-18.
[96] Davis H S.Productivity accounting[M].Philadephia:University ofPennsylvania,1995.
[97] Solow R W.Technical change and the aggregate production function[J].Review ofeconomics of statistics,1957,39(3):312-320.
[98]李廉水,周勇.技术进步能提高能源效率么:基于中国工业部门的实证检验[J].管理世界,2006,(10):82-89.
[99]王群伟,周德群.中国全要素能源效率变动的实证研究[J].系统工程,2008,(7):75-80.
[100]蔡晓春,邹克.基于DEA-Malmquist的钢铁行业上市公司能源效率分析[J].统计与信息论坛,2012,(8):90-98.
[101]余泳泽,杜晓芬.技术进步、产业结构与能源效率:基于省域数据的空间面板计量分析[J].产业经济评论,2011,(4):36-66.
[102]王珊珊,屈小娥.技术进步、技术效率与制造业全要素能源效率:基于Malmquist指数的实证研究[J].山西财经大学学报,2011,(2):54-60.
[103]孙耀华,李忠民.中国各省区经济发展与碳排放脱钩关系研究[J].中国人口、资源与环境,2011,21(5):87-92.
[104]赵一平,孙启宏,段宁.中国经济发展与能源消费相应关系研究:基于相对“脱钩”与“复钩”理论的实证研究[J].科研管理,2006,27(3):128-134.
[105]邓华,段宁.“脱钩”评价模式及其对循环经济的影响[J].中国人口、资源与环境,2004,14(6):44-47.
[106]李忠民,宋凯,孙耀华.碳排放与经济增长脱钩指标的实证测度[J].统计与决策,2011,(14):86-88.
[107]李忠民,姚宇,庆东瑞.产业发展、GDP增长与二氧化碳排放脱钩关系研究[J].统计与决策,2010,(11):108-111.
[108]李效顺,曲福田.城乡建设用地变化的脱钩研究[J].中国人口、资源与环境,2008,18(5):179-184.
[109]李东民,庆东瑞.经济增长与二氧化碳排放脱钩实证研究:以陕西省为例[J].福建论坛(人文社会科学版),2010,(2):67-72.
[110] Tapio P.Towards a theory of decoupling:Degrees of decoupling in the EU andthe case of road traffic in Finland between1970and2001[J].Journal ofTransport Policy,2005,(12).
[111] Granger C W J.Investigating causal relations by economic model andcross-spectral methods[J].Econometrica,1969,37:424-428.
[112]陈强.高级计量经济学及Stata应用[M].北京:高等教育出版社,2010:106-107.
[113] Box Gerrge E P,Jenkins G M.Time series analysis:Forecasting andcontrol[M].San Francisco:Holden-DAY,1976.
[114]王庆一.能源效率及相关政策和技术[J].应用能源技术,2002,(6):1-10.
[115]袁晓玲,张宝山,杨万平.基于环境污染的中国全要素能源效率研究[J].中国工业经济,2009,(8):76-86.
[116] Smith A.An inquiry into the nature and causes of the wealth of nations,edsR.h.Campbell ad A.S. Skinner[M].Oxford:Clarendon Press,1979.
[117] Ricardo D.On the principles of political economy andtaxation[M].Cambrige:Cambrige University Press,1951.
[118] Keynes J M.The general theory of employment, interest and money[M].NewYork:Atlantic Publishers&Distributors,1936.
[119] Zou P,Ang B W,Poh K L.Asurvey of data envelopment analysis in energy andenvironmental studies[J].European Journals of OperationalResearch,2008,(189):1-18.
[120] Mukherjec K.Energy use efficiency in U.S. manufacturing:A nonparametricanalysis[J].Energy Economics,2008,(30):76-79.
[121] Onut S,Soner S.Analysis of energy use and efficiency in Turkish manufacturingsector SEMs[J].Energy Conversion and Management,2007,48(2):384-394.
[122] Yeh T L,Chen T Y,Lai P Y.Acomparative study of energy utilization efficiencybetween Taiwan and China[J].Energy Policy,2010,38(5):2386-2394.
[123] Mukherjee K.Measuring energy efficiency in the context of an emergingeconomy:the case of Indian manufacturing[J].European Journal of OperationalResearch,2010,(201):933-941.
[124] Seiford L M,Zhu J.Modeling undesrirable factors in efficiencyevaluation[J].European Journal of Operational Research,202,142(1):16-20.
[125] Satoshi Honma,Hu Jin-Li.Total-factor energy efficiency of regions inJapan[J].Energy Policy,2008,36(2):821-833.
[126] Chow G C.Capital Formation and Economic Growth in China[J].QuarterlyJournal of Economics,1993,108(3):809-842.
[127] Stockman A C.Anticipated Inflation and the Capital Stock in a Cash in-advanceeconomy[J].Journal of monetary economics,1981,8(3):387-393.
[128] Perkins D H.Reforming China’s economic system[J].Journal of economicliterature,1998,26(2):601-645.
[129]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.
[130] Seiford L M,Zhu J.Modeling undesrirable factors in efficiencyevaluation[J].European Journal of Operational Research,202,142(1):16-20.
[131] Reihard S,Lovell C A K,Thijssen G J.Environmental efficiency with multipleenvironmentally detrimental variables:estimated with SFA andDEA[J].European Journal of Operational Research,2000,121(2):287-303.
[132] Hailu A,Veeman T S.Non-parametric productivity analysis with undesirableoutputs:An application to the Canadian pulp and paper industry[J].AmericanJournal of Agricultural Economics,2001,83(3):605-616.
[133] Fare R,Grosskopf S,Lovell C A K,et al.Multilateral productivity comparisonswhen some outputs are undesirable:A nonparametric approach[J].The Reviewof Economics and Statistics,1989,71(1):90-98.
[134] Chung Y H,Fare R,Grosskopf S.Productivity and undesirable outputs:adirectional distance function approcach[J].Journal of EnvironmentalManagement,1997,51(3):229-240.
[135] Coelli T J.A guide to DEAP version2.1:A data envelopment analysis(computerprogram)[R].Center for Efficiency and Productivity Analysis WorkingPaper,1996,Austalia.
[136] Banker R,Charnes A,Cooper W W.Some models for estimating technical andscale inefficies in data envelopment analysis.ManagementScience,1984,30(9):1078-1092.
[137]梁志森.基于DEA方法的我国商业银行效率测度及影响因素分析[D].上海:华东师范大学商学院，2006.
[138] Anderson P,Petersen N C.A procedure for ranking efficient units in dataenvelopment analysis[J].Management Science,1993,39(10):1261-1264.
[139]郭均鹏,吴育华.超效率DEA模型的区间扩展[J].中国管理科学,2005,13(2):40-43.
[140] Yao Chen.Ranking efficient units in DEA[J].The International Journal ofManagement Science,2004,32(3):213-219.
[141]武春友,吴琦.基于超效率DEA的能源效率评价模型研究[J].管理学报，2009,6(11):1460-1465.
[142]索贵彬,张晓林.基于超效率DEA方法的第三产业竞争力评价[J].统计研究,2005(7):58-60.
[143]郭彬,逯雨波.我国中部六省节能减排效率测评及其影响因素分析:基于超效率DEA模型和Tobit模型,2012,(12):58-62.
[144]段万春,李坚.基于超效率DEA的大学科技园运作机制效率评价方法[J].现代化农业,2012,(12):52-56.
[145]姚禄仕,赵萌.基于超效率DEA模型的创新型企业创新绩效评价研究:以安徽省为例[J].财会通讯,2012,36:90-91.
[146]匡海波.基于超效率CCR-DEA的中国港口上市公司成本效率评价研究[J].中国管理科学,227,15(3):142-148.
[147]刘砚平,刘庆庆.我国商业银行效率实证研究:基于超效率DEA模型和Malmquist指数模型[J].山东财经学院学报,2012,(6):28-33.
[148] Chambers R G,Chung Y,F re R.Benefit and distance function[J].Journal ofEconomic Theory,1996,70:407-419.
[149] Yu P L.Cone convexity,cone extreme points and nondominated solutions indecision problems with multiobjective[J].Journal of Optimization Theory andApplication,1974,14:319-377.
[150]魏权龄.数据包络分析[M].北京:科学出版社,2004:346-349.
[151] Meeusen W,Van Den Broeck.Efficiency estimation from Cobb-Douglasproduction function with composed error[J].International EconomicReview,1977,(18):435-444.
[152] Kalirajan. An econometric analysis of yield variability in paddyproduction[J].Canadian Journal of Agricultrral Economics,1981,(29):283-294.
[153] Paul F,Vencappa D,Diacon S,Klumpes P,O’Brien C.Market structure and theefficiency of European insurance companies:Astochastic frontieranalysis[J].Journal of Banking and Finance,2008,32(1):86-100.
[154]闫冰,冯根福.基于随机前沿函数的中国工业R&D效率分析[J].当代经济科学,2005,27(6):14-19.
[155]岳书敬.长三角地区高技术产业创新效率的经验分析[J].南京社会科学,2008,(5):13-18.
[156] Mark M P,Lung F L.The measurement and sources of technical inefficiency inthe Indonesian weaving industry[J].Journals of DevelopmentEconomics,1981,9(1):43-64.
[157]周四军,胡瑞,王欣.我国商业银行效率DEA测评模型的优化研究[J].财经理论与实践，2012,(6):17-21.
[158]姜彤彤.R&D投入对高技术产业技术效率的影响研究:基于省际面板数据和SFA方法的实证分析[J].工业技术经济，2012,(10):100-107.
[159]刘聪,石奇,刘玉飞.中国工业技术效率区域差异实证研究[J].天津商业大学学报，2012,(5):42-48.
[160]蔡之兵,周俭初.江浙沪鲁粤四省一市技术创新效率比较研究[J].首都经济贸易大学学报,2012,(5):90-96.
[161] Battese G E,Coelli T J. Frontier production functions,technical efficiency andpanel data: With application to Paddy Farmers in India[J]. Journal ofProductivity Analysis,1992,(3),:153-169.
[162]王争,史晋川.转型时期中国工业生产绩效的地区差异及波动性解释:基于随机前沿生产函数的分析[J].世界经济文汇,2007,(4):29-45.
[163] Denison E F.Why growth rate differ:postwar experience in nine westerncountries[M].Washington:Brookings Institution Publishing,1967.
[164] Maddison A.Growth and Slowdown in Advanced CapitalistEconomics:Techniques of quantities assessment[J].Economicsliteratures,1987,25(2):649-698.
[165]徐磊,黄凌云.FDI技术溢出及其区域创新能力门槛效应研究[J].科研管理,2009,30(2):16-25.
[166]刘凤朝.基于专利结构视角的中国区域创新能力差异研究.管理评论,2006,(11):43-47.
[167] Griliche Z.Patents statistics as economic indicators:A survey.Journal ofEconomic Literature,1990,28(4):1661-1707.
[168]吴延兵.R&D存量、知识函数与生产效率[J].经济学(季刊),2006,5(4):1131-1156.
[169] Pakes A,Griliches Z.Patents and R&D at the firm level:Afirstlook.InZ.Griliches(Ed),R&D Patents and Productivity
[M].Chicago:University of Chicago Press,1984.
[170] Nasierowski W,Arcelus F J.On the efficiency of national innovationsystems.Socio-Economic Planning Sciences,2003,37:215-234.
[171]杨正林.中国能源效率的影响因素研究[D].武汉:华中科技大学经济学院，2009.
[172] WOOLDRIDGE J M.Econometric analysis of cross section and paneldata[M].Cambridge,MA:MIT Press,1985:282-283.
[173] DRUKKER D M.Testing for serial correlation in linear panel-data models[J].Stata Journal,2003(3):168-177.
[174] Barro R J.X Sala-i-Martin.Public finance in models of economicgrowth[J].Review of Economic Studies,1992,59(4):645-661.
[175]林毅夫,刘明兴.中国的经济增长收敛与收入分配.世界经济,2003,(8):2-33.
[176] Xavier X,Sala-i-Martin.Regional cohesion:evidence and theories of regionalgrowth and convergence.European Economic Review,1996,40(6):1325-1352.
[177]刘乃全。区域收敛与发散理论.外国经济与管理,2000,25(8):19-23.
[178]王志刚,龚六堂,陈玉宇.地区间生产效率与全要素生产率增长率分解(1978-2003).中国社会科学,2006,(2):55-66.
[179] Malmquist S.Index numbers and indifference surfaces[J].Trabajos deEstatistica,1953,(4):209-242.
[180] Shephard R W.Cost and Production Functions[M].Princeton UniversityPress,Princeton,New Jersey,1953.
[181] Caves D W,Christensen L R,Diewert W F.The economic theory of indexnumber and the measurement of input, output, andproductivity[J].Econometrica,1982,50:1193-1414.
[182] Fare R,Grosskopf S,Lovell C A K.Production frontier,Cambridge:CambridgeUniversity Press,1994.
[183] F re R,Grosskopf S,Ross P.Malmquist productivity indexex:Asurvey of theoryand practice[M].Kluwer Academic Plublishers,Boston,1998.
[184] Fare R,Grosskopf S,Lovell C A K.Production frontiers[M].CambridgeUniversity Press,Cambridge,1994.
[185]匡远凤.技术效率、技术进步、要素积累与中国农业经济增长:基于SFA的经验分析[J].数量经济技术经济研究,2012,(1):3-18.
[186]张唯实,李国璋,周彩云.中国区域生产效率与西部经济发展研究[J].华东经济管理,2010,(06):34-38.
[187]金炯振.中国农业全要素生产率增长的实证分析：1978~2007年:基于随机前沿（SFA）方法[J].中国农村经济,2009,(9):36-47.
[188]刘小二,谢月华.基于SFA我国区域全要素生产率差异的实证研究[J].统计教育,2009,(7):32-41.
[189]李清彬,刘玉海.中国的集体工业:规模、效率及其影响因素[J].财经论丛,2011,(4):3-9.
[190]苏飞.大“珠三角”地区城市经济增长因素分析:基于面板随机前沿模型[J].西安财经学院学报,2012,(1):80-86.
[191] Kunmbhakar S,Lovell C.Stochastic frontier analysis[M].New York:CambridgeUniversity Press,2000.