中国装备制造业能源效率研究——基于Bootstrap-DEA模型
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摘要
文章采用Bootstrap-DEA模型,对我国2003-2016年间装备制造业七个子行业的能源利用效率进行分析。研究结果表明:与Bootstrap-DEA模型的测算结果相比,传统的DEA模型高估了能源效率。根据Bootstrap-DEA模型的测算结果,结合国家的政策和企业的措施,重点分析了七个子行业能源效率。文章指出增加研发投入,积极推行绿色制造等措施都将对我国装备制造业能源效率的提高产生积极影响。
This paper applies the Bootstrap-DEA model to analyze the energy efficiency of seven sub-industries of equipment manufacturing industry in China from 2003 to 2016.The study results show that the traditional DEA model overestimates the energy efficiency,compared with the calculation results of Bootstrap-DEA model.According to the calculation results of Bootstrap-DEA model,combined with national policies and corporate measures,the paper mainly analyzes the energy efficiency of seven sub-industries.Furthermore,the paper points out that increasing R&D investment and actively promoting green manufacturing will have positive impacts on the improvement of energy efficiency of China's equipment manufacturing industry.
This paper applies the Bootstrap-DEA model to analyze the energy efficiency of seven sub-industries of equipment manufacturing industry in China from 2003 to 2016.The study results show that the traditional DEA model overestimates the energy efficiency,compared with the calculation results of Bootstrap-DEA model.According to the calculation results of Bootstrap-DEA model,combined with national policies and corporate measures,the paper mainly analyzes the energy efficiency of seven sub-industries.Furthermore,the paper points out that increasing R&D investment and actively promoting green manufacturing will have positive impacts on the improvement of energy efficiency of China's equipment manufacturing industry.
引文
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[16]LIN B,LONG H. A stochastic frontier analysis of energy ef-ficiency of China’s chemical industry[J]. Journal of CleanerProduction,2015,87(1):235-244.
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[20]曾贤刚.我国能源效率、CO2减排潜力及影响因素分析[J].中国环境科学,2010,30(10):1432-1440.
[21]MUKHERJEE K. Energy use efficiency in the Indian man-ufacturing sector:An interstate analysis[J]. Energy Policy,2008,36(2):662-672.
[2]GOLDRATH T,AYALON O,SHECHTER M. A combinedsustainability index for electricity efficiency measures[J].Energy Policy,2015,86:574-584.
[3]EVANS M,ROSHCHANKA V,GRAHAM P. An internationalsurvey of building energy codes and their implementation[J].Journal of Cleaner Production,2017,24:82-95.
[4]LI J,LIN B. Rebound effect by incorporating endogenous en-ergy efficiency:A comparison between heavy industry andlight industry[J].Applied Energy,2017,200:347-357.
[5]LU Y,LIU Y,ZHOU M. Rebound effect of improved energy efficiency for different energy types:A general equilibriumanalysis for China[J]. Energy Economics,2017,62:248-256.
[6]ZHENG Q Y,LIN B Q. Industrial polices and improved en-ergy efficiency in China’s paper industry[J]. Journal ofCleaner Production,2017,161:200-210.
[7]HE K,WANG L. A review of energy use and energy-efficienttechnologies for the iron and steel industry[J]. Renewable&Sustainable Energy Reviews,2017,70:1022-1039.
[8]SHAO Y. Analysis of energy savings potential of China’snonferrous metals industry[J]. Resources Conservation&Re-cycling,2017,117:25-33.
[9]LI M J,TAO W Q. Review of methodologies and polices forevaluation of energy efficiency in high energy-consuming in-dustry[J]. Applied Energy,2017,187:203-215.
[10]HU J L,WANG S C. Total factor energy efficiency of regionalin China[J]. Energy Policy,2006,34:3206-3217.
[11]魏楚,沈满洪.能源效率及其影响因素基于DEA的实证分析[J].管理世界,2007,167(8):66-76.
[12]孟祥兰,雷茜.我国各省份能源利用的效率评价——基于DEA数据包络方法[J].宏观经济研究,2011(10):40-46.
[13]张志辉.中国区域能源效率演变及其影响因素[J].数量经济技术经济研究,2015(8):73-88.
[14]ROGGE N,JAEGER S D. Measuring and explaining thecost efficiency of municipal solid waste collection and pro-cessing services[J]. Omega,2013,41(4):653-664.
[15]BLANCARD S,MARTIN E. Energy efficiency measurementin agriculture with imprecise energy content information[J]. Energy Policy,2014,66:198-208.
[16]LIN B,LONG H. A stochastic frontier analysis of energy ef-ficiency of China’s chemical industry[J]. Journal of CleanerProduction,2015,87(1):235-244.
[17]ZHOU P,ANG B W,ZHOU D Q. Measuring economy-wide energy efficiency performance:A parametric frontierapproach[J]. Applied Energy,2012,90(1):196-200.
[18]SIMAR L,WILSON P W. Statistical Inference in Nonpara-metric Frontier Models:the State of the Art[J]. Journal ofProductivity Analysis,2000,13(1):49-78.
[19]CHARNES A,COOPER W W,RHODES E.Measuring theefficiency of decision making units[J]. European Journalof Operational Research,1978,2(6):429-444.
[20]曾贤刚.我国能源效率、CO2减排潜力及影响因素分析[J].中国环境科学,2010,30(10):1432-1440.
[21]MUKHERJEE K. Energy use efficiency in the Indian man-ufacturing sector:An interstate analysis[J]. Energy Policy,2008,36(2):662-672.