LAPSE:2023.35546
Published Article
LAPSE:2023.35546
Empirical Study on the Low-Carbon Economic Efficiency in Zhejiang Province Based on an Improved DEA Model and Projection
Hongyun Luo, Xiangyi Lin
May 2, 2023
Low-carbon economic efficiency is an important indicator that can be used to measure the quality of regional economic development. In this study, an improved DEA model is introduced into the calculation of low-carbon economic efficiency in Zhejiang Province. Using the actual data of nine prefecture-level cities in Zhejiang Province from 2015 to 2020, the low-carbon economic efficiency of each prefecture-level city is calculated. The result is that the overall low-carbon economic efficiency of Zhejiang Province indicates a trend of first falling and then rising, and the low-carbon economic efficiencies of different prefecture-level cities largely differ. The causes of six inefficient DMUs (prefecture-level cities) are analyzed using projection. The improved DEA model is used to determine the “expansion coefficient” of the input and output of three DMUs (prefecture-level cities) with relatively low-carbon economic efficiency. The research results provide a strong basis and support for the development of a low-carbon economy for Zhejiang Province.
Keywords
efficiency calculation, improved DEA model, low-carbon economy, low-carbon efficiency, projection
Suggested Citation
Luo H, Lin X. Empirical Study on the Low-Carbon Economic Efficiency in Zhejiang Province Based on an Improved DEA Model and Projection. (2023). LAPSE:2023.35546
Author Affiliations
Luo H: College of Business, Quzhou University, Quzhou 324000, China; School of Economics and Management, Northeast Petroleum University, Daqing 163318, China
Lin X: College of Business, Quzhou University, Quzhou 324000, China; School of Economics and Management, Northeast Petroleum University, Daqing 163318, China [ORCID]
Journal Name
Energies
Volume
16
Issue
1
First Page
300
Year
2022
Publication Date
2022-12-27
Published Version
ISSN
1996-1073
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PII: en16010300, Publication Type: Journal Article
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doi:10.3390/en16010300
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