4.6 Article

Green Growth Efficiency Evaluation of Major Domestic Oil-Gas Resource-Based Cities--Based on Panel Data of SBM Model and Malmquist-Luenberger Index

Journal

FRONTIERS IN EARTH SCIENCE
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/feart.2022.911646

Keywords

oil and gas resource-based city; green growth; efficiency evaluation; SBM model; malmquist-luenberger index

Funding

  1. National Social Science Foundation of China
  2. [19BJY068]

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This study evaluates the green growth efficiency of oil and gas resource-based cities in China using the DEA-SBM model and Malmquist-Luenberger index. The results show that the static efficiency of green growth in most cities is low, but the eastern region has higher efficiency and improved environment. Moreover, more than half of the cities have a dynamic efficiency value of green growth greater than 1, indicating a positive development trend for green growth.
Based on the panel data of Jinzhou, Panjin, Songyuan, Daqing, Yangzhou, Dongying and other 20 oil and gas resource-based cities from 2010 to 2018, combined with DEA-SBM model and Malmquist-Luenberger index, using DEA-SOLVERPro 5.0 and MaxDEA software. This paper evaluates the green growth efficiency of oil and gas resource-based cities from static and dynamic perspectives.The results show that the average static efficiency of green growth of the main oil and gas resource-based cities in China does not reach 1, there is efficiency loss, and it does not reach Pareto optimum.The static efficiency of green growth of the eastern oil and gas resource-based cities is higher than that of other regions, which is in line with the law of the Environmental Kuznets Curve. The environment has been improved. More than half of the oil and gas resource-based cities have a dynamic efficiency value of green growth greater than 1, and the development trend of green growth is better.

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