ORIGINAL RESEARCH
Evaluation and Obstacle Factors
of the Green Development Level of China‘s
Oil and Gas Resource-Based Cities
Based on DPSIR-TOPSIS Model
More details
Hide details
1
Department of Economics and Management, Southwest Petroleum University,
No. 8 Xindu Avenue, Xindu Street, Xindu District, Chengdu, 610500, China
Submission date: 2024-02-19
Final revision date: 2024-03-13
Acceptance date: 2024-04-13
Online publication date: 2024-06-06
Corresponding author
Yulan Zhou
Department of Economics and Management, Southwest Petroleum University,
No. 8 Xindu Avenue, Xindu Street, Xindu District, Chengdu, 610500, China
KEYWORDS
TOPICS
ABSTRACT
The green development of oil and gas resource-based cities is not only a necessary choice to address
resource depletion, protect the ecological environment, promote economic transformation, and improve
residents’ quality of life but also a crucial approach to ensuring long-term, stable, and sustainable urban
economic development. This paper constructs an evaluation index system for the green development
of oil-and-gas resource-based cities based on the DPSIR model. The system includes five sub-systems:
driving forces, pressures, status, impacts, and responses. By utilizing the entropy weight TOPSIS model
and obstacle degree model, this study evaluates and analyzes the level of green development as well
as obstacle factors in 17 oil-and-gas resource-based prefecture-level cities in China from 2011 to 2021.
The findings indicate that: (1) Overall, the green development level of oil and gas resource-based cities
is relatively low, with significant regional disparities. (2) Both the driving force system and pressure
system generally exhibit a declining trend in terms of green development level, while the state system
shows improvement over time; meanwhile, both the influence system and response system demonstrate
fluctuations. (3) Major obstacles faced by oil-and-gas resource-based cities include per capita green space
availability, accessibility of public transport vehicles per 10k people, coverage area per capita for urban
roads, R&D expenditure proportion in GDP, as well as social security subsidies proportion in general
public budget expenditure. Based on these evaluation results and analysis outcomes, it is recommended
that city governments optimize their policy systems, prioritize training programs for attracting talents
specializing in green industries, and enhance efficiency regarding urban green development.