中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region

文献类型:期刊论文

作者Liu, Wei1; Zhan, Jinyan1; Zhao, Fen2; Wang, Pei3,4,5; Li, Zhihui3,4,5; Teng, Yanmin1
刊名TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
出版日期2018-12-01
卷号137页码:1-9
关键词Energy productivity growth Total factor productivity Global Malmquist-Luenberger index Undesirable outputs Data envelopment analysis Pearl River Delta
ISSN号0040-1625
DOI10.1016/j.techfore.2018.09.027
通讯作者Zhan, Jinyan(zhanjy@bnu.edu.cn)
英文摘要Against the background of new urbanization, urban agglomeration plays an important role in boosting development in surrounding areas. It is important that energy consumption is reduced and energy productivity improved. The Pearl River Delta Metropolitan Region (PRD) is one of the most promising city agglomerations in China. Therefore, based on data sourced from China City Statistical Yearbooks (2006-2016) and Guangdong Statistical Yearbooks (2006-2016), a global Malmquist-Luenberger productivity index is adopted to analyze the change trends of energy productivity growth in the PRD during 2005-2015. The estimation results show that there are differences among the change trends of energy productivity growth in the nine cities in the PRD, and that productivity growth improved during the study period. The greatest contributor to energy productivity growth is technological progress. We also identified the key determinants affecting energy productivity growth using generralized least squares regression and found that industrial structure, openness index and capital per capita have a positive effect. The energy price, energy intensity, per capita of GDP, R&D intensity and government regulation have a negative effect on energy productivity growth. These conclusions inform decision makers in improving energy productivity and coordinating economic development and environmental protection in the PRD.
WOS关键词SLACKS-BASED MEASURE ; GREEN PRODUCTIVITY ; EMISSION PERFORMANCE ; UNDESIRABLE OUTPUTS ; INFLUENTIAL FACTORS ; INDUSTRIAL SECTORS ; EFFICIENCY ; CHINA ; DETERMINANTS ; PROGRESS
资助项目National Key Research and Development Program of China[2016YFC0502802] ; State Key Program of National Natural Science Foundation of China[71533004] ; Key Program of International Cooperation, Chinese Academy of Sciences[131A11KYSB20130023] ; National Natural Science Foundation of China[41771546]
WOS研究方向Business & Economics ; Public Administration
语种英语
WOS记录号WOS:000452585000001
出版者ELSEVIER SCIENCE INC
资助机构National Key Research and Development Program of China ; State Key Program of National Natural Science Foundation of China ; Key Program of International Cooperation, Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/51293]  
专题中国科学院地理科学与资源研究所
通讯作者Zhan, Jinyan
作者单位1.Beijing Normal Univ, State Key Lab Water Environm Simulat, Sch Environm, Beijing 100875, Peoples R China
2.Beijing Normal Univ, Minist Educ, Key Lab Water & Sand Sci, Sch Environm, Beijing 100875, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Liu, Wei,Zhan, Jinyan,Zhao, Fen,et al. Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region[J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,2018,137:1-9.
APA Liu, Wei,Zhan, Jinyan,Zhao, Fen,Wang, Pei,Li, Zhihui,&Teng, Yanmin.(2018).Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region.TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,137,1-9.
MLA Liu, Wei,et al."Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region".TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 137(2018):1-9.

入库方式: OAI收割

来源:地理科学与资源研究所

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