气候变化领域集成服务门户(CCPortal): Energy eco-efficiency: Is there any spatial correlation between different regions?

CCPortal

DOI	10.1016/j.enpol.2020.111404
	Energy eco-efficiency: Is there any spatial correlation between different regions?
	Peng B.; Wang Y.; Wei G.
发表日期	2020
ISSN	03014215
卷号	140
英文摘要	This study explores a spatial correlation network of regional energy eco-efficiency to examine the existence of such a correlation from the new perspective of networking. Firstly, by utilizing the panel data of 13 prefecture-level cities in Jiangsu Province from 2008 to 2017, a super efficiency Slack Based Model (SBM) was developed to calculate the energy eco-efficiency of 13 cities. Then, the spatial correlation network and its characteristics of energy eco-efficiency between prefecture-level cities are elaborated by using Vector Autoregression (VAR) granger causality test and social network analyses. The results show that: 1) there is spatial heterogeneity of energy eco-efficiency for the study period, and the gap in the South of the province and the Central and North is widening. 2) The spatial correlation network of energy eco-efficiency is unevenly distributed, only Nanjing is at the center of the network. 3) The energy eco-efficiency can be divided into four plates, but the spillover effect between plates is relatively low. The study confirms that there is a significant spatial correlation network of regional energy eco-efficiency. To boost the energy eco-efficiency in the whole region, it is necessary not only to specifically strengthen the export of technology and experience from advanced regions, but also to fully understand the role and maximize the advantages of each plate. © 2020 Elsevier Ltd
关键词	Energy eco-efficiency Social network analysis Spatial correlation Super efficiency slack based model Vector autoregression granger causality test
英文关键词	Regression analysis; Social networking (online); Eco-efficiency; Granger causality test; Jiangsu province; Spatial correlations; Spatial heterogeneity; Spillover effects; Super efficiency; Vector autoregressions; Statistical tests; correlation; energy efficiency; Granger causality test; network analysis; numerical model; panel data; social network; vector autoregression; China; Jiangsu
语种	英语
来源期刊	Energy Policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/204815
作者单位	Binjiang College, Nanjing University of Information Engineering, Wuxi, 214015, China; School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Department of Mathematics and Computer Science, University of North Carolina at Pembroke, PembrokeNC 28372, United States
推荐引用方式 GB/T 7714	Peng B.,Wang Y.,Wei G.. Energy eco-efficiency: Is there any spatial correlation between different regions?[J],2020,140.
APA	Peng B.,Wang Y.,&Wei G..(2020).Energy eco-efficiency: Is there any spatial correlation between different regions?.Energy Policy,140.
MLA	Peng B.,et al."Energy eco-efficiency: Is there any spatial correlation between different regions?".Energy Policy 140(2020).