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| Sector Structural Shift and Low Carbon Transformation in Jilin Province in the Background of the New Round of Northeast China RevitalizationN |
| ie Hongguang1,2,3,Chen Yongqing1 |
1.School of Economics and Management,Changchun University of Science and Technology,Changchun 130022,China;
2.Institutes of Science and Development,Chinese Academy of Sciences,Beijing 100190,China;
3.Industrial Culture Research Base of Jilin Province,Changchun University of Science and Technology,Changchun 130022,China |
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Abstract In the background of new round of northeast China revitalization strategy,by using the Logarithmic mean Divisia index method(LMDI),we analyze the change of energy consumption in the period of 2001—2015 in Jilin province.The result shows that the changes of energy consumption in Jilin province is affected by economic growth,sector structural shift and energy intensity.Among them,economic growth is the main driving force of energy consumption increasing,and the energy intensity is the main driving factor of inhabit energy consumption.However,the sector structural shift promotes the increasing of the energy consumption in Jilin province,contrary to the situation in developed countries and developed provinces in China,which indicates that the sector structure adjustment in Jilin province is unreasonable in recent years.On the basis of the further analysis of the energy consumption situation in different sector structure scenarios during the period of 2016—2025,we point that there is a great potential of low-carbon development.Taking the possible problems in the process of sector structure adjustment in Jilin Province into account,we put forward countermeasures and suggestions on low carbon transition.
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Received: 16 September 2017
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[1] 邵帅.能源产业繁荣能够驱动能源型城市经济增长吗[J] .统计与信息论坛,2010,25(6):38-44.
[2] 唐葆君,胡玉杰,魏一鸣,等.我国东北地区能源、经济、环境、生态承载力研究[J] .中国能源,2015,37(1):31-36.
[3] 吉林省统计局.2016吉林统计年鉴[M] .北京:中国统计出版社,2016.
[4] 北京市统计局,国家统计局北京调查总队.2016北京统计年鉴[M] .北京:中国统计出版社,2016.
[5] 赵昌文.对“新东北现象”的认识与东北增长新动力培育研究[J] .经济纵横,2015(7):7-10.
[6] 史丹,张金隆.产业结构变动对能源消费的影响[J] .经济理论与经济管理,2003(8):30-32.
[7] 史丹,冯永晟.中国电力需求的动态局部调整模型分析——基于电力需求特殊性的视角[J] .中国工业经济,2015(10):5-20.
[8] ADOM P K,BEKOE W,AMUAKWA-MENSAH F,MENSAH J T,BOTCHWAY E.Carbon dioxide emissions,economic growth,industrial structure,and technical efficiency:empirical evidence from Ghana,Senegal,and Morocco on the causal dynamics[J] .Energy,2012:314-325.
[9] WANG Q.Effects of urbanisation on energy consumption in China[J] .Energy policy,2014,65:332-339.
[10] UCHIYAMA Y.Present efforts of saving energy and future energy demand/supply in Japan[J] .Energ.convers.manage,2002,43:1123-1131.
[11] 刘凤朝,孙玉涛.技术创新、产业结构调整对能源消费影响的实证分析[J] .中国人口·资源与环境,2008(3):108-113.
[12] MI Z,PAN S,YU H,WEI Y.Potential impacts of industrial structure on energy consumption and CO2 emission:a case study of Beijing[J] .Journal of cleaner production,2015,103:455-462.
[13] XIA Y,FAN Y.Exploring energy consumption and demand in China[J] .Energy,2012,40:23-30.
[14] SHAHIDUZZAMAN M,ALAM K.Changes in energy efficiency in Australia:a decomposition of aggregate energy using logarithmic mean divisiaapproach[J] .Energy policy,2013,56:341-351.
[15] WU Y.Energy intensity and its determinants in China's regional economies[J] .Energy policy,2012,41:703-711.
[16] ANG B W.Decomposition analysis for policy making in energy:Which is the preferred method[J] .Energy policy,2004,32:1131-1139.
[17] ANG B W.The LMDI approach to decomposition analysis:a practical guide[J] .Energy policy,2005,33:867-871.
[18] 中华人民共和国国家统计局.2016中国统计年鉴[M] .北京:中国统计出版社,2016.
[19] 刘思峰,蔡华,杨英杰,曹颖.灰色关联分析模型研究[J] .系统工程理论与实践,2013(8):2043-2046.
[20] 刘思峰,党耀国,方志耕.灰色系统理论及其应用[M] .北京:科学出版社,2004.
[21] ZHAO X,MA C,HONG D.Why did China′s energy intensity increase during 1998—2006:decomposition and policy analysis[J] .Energy policy,2010,38:1379-1388.
[22] 林柏强,牟敦果.高级能源经济学[M] .北京:清华大学出版社,2014. |
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2018, Vol. 0 
