Convergence analysis of city-level energy intensity in China
Zhu J.; Lin B.
Date Issued2020
Other AbstractUnderstanding the convergence patterns of energy intensity and the drivers leading to the club convergence are of great significance for local governments to implement targeted policies to improve energy efficiency. With this in mind, we begin with the collection of energy consumption data of 193 Chinese cities at prefecture level or above, then we adopt the log t-test and clustering algorithm to investigate convergence characteristics of energy intensity. Besides, the Ordered Probit model is adopted to investigate the drivers that affect the formulation of convergent club. We identify four convergent clubs among total 193 cities, and these clubs show great differences in energy intensity. Marketization degree, population density, foreign direct investment, resource endowment, and industrial structure are recognized as the drivers of the formation of convergence clubs. This paper adds more evidence to understand the energy intensity gap, we propose that upgrading the industrial structure, exerting economic assemble advantage, enhancing the level of opening up, and improving the marketization level are favorable measures to reduce energy intensity. © 2020 Elsevier Ltd
enkeywordsChinese cities; Convergence analysis; Energy intensity; Log t-test
journalEnergy policy
Document Type期刊论文
AffiliationSchool of Management, China Institute for Studies in Energy Policy, Collaborative Innovation Center for Energy Economics and Energy Policy, Xiamen UniversityFujian 361005, China
Recommended Citation
GB/T 7714
Zhu J.,Lin B.. Convergence analysis of city-level energy intensity in China[J],2020,139.
APA Zhu J.,&Lin B..(2020).Convergence analysis of city-level energy intensity in China.Energy policy,139.
MLA Zhu J.,et al."Convergence analysis of city-level energy intensity in China".Energy policy 139(2020).
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