中国西部地区能源效率与产业结构耦合协调关系研究
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摘要
论文将非期望产出纳入投入产出指标体系,运用超效率DEA方法测算2015年西部地区11个省份的全要素能源效率。在对各省份产业结构高级度和产业结构合理度测度与分析的基础上,采用耦合协调度模型分析了2015年西部地区11个省份能源效率与产业结构空间特征及耦合协调关系。研究结果表明:西部地区能源效率与产业结构关系较为密切;实现产业结构合理化能够提高西部地区整体的能源效率;实现产业结构高级化是提高贵州和青海两省能源效率的有效途径。
The article incorporated the non-expected output into the input-output index system and calculated total factor energy efficiency of 11 provinces in western China in 2015 based on super-efficiency DEA method. After measuring and analyzing the optimization and rationalization degree of industrial structure of each province, the article analyzed the spatial distribution characteristics and coupling and coordination relationship between energy efficiency and industrial structure of 11 provinces in western China in 2015 based on the coupling and coordination degree model. The results are as follows: there is a close relationship between energy efficiency and industrial structure in western China. Realizing the rationalization of industrial structure is conducive to improving the overall energy efficiency in western China. Realizing the optimization of industrial structure is an effective way to improve energy efficiency of Guizhou and Qinghai.
The article incorporated the non-expected output into the input-output index system and calculated total factor energy efficiency of 11 provinces in western China in 2015 based on super-efficiency DEA method. After measuring and analyzing the optimization and rationalization degree of industrial structure of each province, the article analyzed the spatial distribution characteristics and coupling and coordination relationship between energy efficiency and industrial structure of 11 provinces in western China in 2015 based on the coupling and coordination degree model. The results are as follows: there is a close relationship between energy efficiency and industrial structure in western China. Realizing the rationalization of industrial structure is conducive to improving the overall energy efficiency in western China. Realizing the optimization of industrial structure is an effective way to improve energy efficiency of Guizhou and Qinghai.
引文
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[16]刘丹丹,赵颂扬旸,郭耀.全要素视角下中国西部地区能源效率及影响因素[J].中国环境科学,2015(6):1911-1920.
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[2]Reitler W,Rudolph M,Schaefer H.Analysis of the factors influencing energy consumption in industry:A revised method[J].Energy Economics,1987,9(3):145-148.
[3]Kambara T.The energy situation in China[J].The China Quarterly,1992(131):608-636.
[4]关伟,许淑婷.辽宁省能源效率与产业结构的空间特征及耦合关系[J].地理学报,2014(4):520-530.
[5]徐卓顺.东北三省能源效率与产业结构耦合协调度测度[J].城市问题,2015(10):63-68.
[6]江洪,赵宝福.碳排放约束下能源效率与产业结构解构、空间分布及耦合分析[J].资源科学,2015(1):152-162.
[7]吕明元,陈维宣.中国产业结构升级对能源效率的影响研究--基于1978-2013年数据[J].资源科学,2016(7):1350-1362.
[8]李春霄,王晓娟,何珊.产业结构合理化对全要素能源效率的影响研究--一个非径向DEA模型分析框架[J].工业技术经济,2017(5):147-155.
[9]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(10):1432-1440.
[10]孟庆春,黄伟东,戎晓霞.灰霾环境下能源效率测算与节能减排潜力分析--基于多非期望产出的NH-DEA模型[J].中国管理科学,2016(8):53-61.
[11]张志雯,王子龙.碳约束下技术创新对能源效率影响的空间计量分析[J].中国科技论坛,2017(4):164-171.
[12]廖重斌.环境与经济协调发展的定量评判及其分类体系--以珠江三角洲城市群为例[J].广州环境科学,1996(1):12-16.
[13]Andersen P,Petersen N C.A procedure for ranking efficient units in data envelopment analysis[J].Management Science,1993,39(10):1261-1264.
[14]Tone K.A slacks-based measure of efficiency in data envelopment analysis[J].European Journal of Operational Research,2001,130(3):498-509.
[15]Rasche R H,Tatom J A.Energy resources and potential GNP[J].Federal Reserve Bank of St.Louis,1977,59(6):10-24.
[16]刘丹丹,赵颂扬旸,郭耀.全要素视角下中国西部地区能源效率及影响因素[J].中国环境科学,2015(6):1911-1920.
[17]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.
[18]郑少智,陈志辉.产业结构高级化与经济增长关系实证研究：基于全国、广东省及广州市数据的对比分析[J].产经评论,2011(3):55-60.
[19]干春晖,郑若谷,余典范.中国产业结构变迁对经济增长和波动的影响[J].经济研究,2011(5):4-16.