Comprehensive Evaluation of the Resilience of China’s Oil and Gas Industry Chain: Analysis and Thinking from Multiple Perspectives
Enhancing the resilience of the oil and gas industry chain is essential for achieving sustainable energy development amid global industrial restructuring and the accelerating low-carbon transformation. This study identifies the core contradictions in the development of China’s OGI and constructs a comprehensive evaluation index system to assess the resilience of the industry from the four sustainability-aligned dimensions of resistance, recovery, innovation, and transformation. Using the entropy weight comprehensive evaluation model, obstacle degree model, and coupling coordination degree model, the resilience performance of China’s OGI chain is evaluated from 2001 to 2022. The results show a significant upward trend in overall resilience, with evident stage characteristics. Resistance remains relatively stable, recovery shows the most improvement, innovation steadily increases, and transformation accelerates after 2019, particularly in response to China’s dual carbon goals. Key barriers include limited CCUS deployment and insufficient downstream innovation capacity. The improved coupling coordination among resilience subsystems highlights enhanced systemic synergy. These findings offer valuable implications for strengthening the sustainability and security of energy supply chains under climate and geopolitical pressures.
Authors
- Yanqiu Wang (ORCID: https://orcid.org/0000-0002-8919-1987)
- Lixia Yao (ORCID: https://orcid.org/0000-0003-4473-1924)
- Xiangyun Li (ORCID: https://orcid.org/0009-0002-4202-3799)
- Zilong Qin (ORCID: https://orcid.org/0009-0000-3920-0892)
Institutions
- Northeast Petroleum University (CN)
Publication Details
- Journal
- Sustainability
- Published
- 2025-07-16
- DOI
- https://doi.org/10.3390/su17146505
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Jilin Office of Philosophy and Social Science