ORIGINAL RESEARCH
Can Financial Development Improve Energy Efficiency? Based on SBM-Undesirable Model and Fuzzy-set Qualitative Comparative Analysis
Chao Li 1  
,   Panpan Li 2  
,   Peng Bi 3  
,   Feihong Yun 1  
,   Lei Gao 4  
 
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1
College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China
2
School of Economics and Management, Harbin Engineering University, Harbin 150001, China
3
School of Economics and Management, Jiamusi University, Jiamusi 150007, China
4
School of Economics and Management, Beijing Forestry University, Beijing 100083, China
CORRESPONDING AUTHOR
Panpan Li   

School of Economics and Management, Harbin Engineering University, China
Submission date: 2020-07-21
Final revision date: 2020-09-08
Acceptance date: 2020-11-28
Online publication date: 2021-04-12
Publication date: 2021-06-09
 
Pol. J. Environ. Stud. 2021;30(4):3125–3135
 
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ABSTRACT
To explore the effect of financial development on energy efficiency is of guiding significance for grasping China’s energy situation and making fiscal policies. First, this paper considers the environmental pollution into the output variables, and builds an SBM model to evaluate the energy efficiency. Second, this paper explores the dual effect of financial development on energy efficiency, and based on the interaction characteristics of multiple factors, the configuration of energy efficiency is discussed by using fsQCA method. The results are as follows: there are obvious differences in energy efficiency in different regions, with a declining trend from eastern to western. Regions that achieve high energy efficiency tend to have better financial development and industrial structure. When financial development and industrial structure are relatively good, regions should consider the role of FDI and give full play to its spillover effect. Regardless of financial development, regions should steadily achieve economic growth, attach importance to innovation input and correctly guide foreign investment.
eISSN:2083-5906
ISSN:1230-1485