Greening the bottom line: Unlocking efficiency in natural resource markets for resilience
Resource markets, particularly those in the natural resource industry, have historically had difficulties associated with inefficiency. These inefficiencies can worsen environmental deterioration, hamper the progress of sustainable development, and impede the resilience of ecosystems. This research...
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Veröffentlicht in: | Resources policy 2024-02, Vol.89, p.104516, Article 104516 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Resource markets, particularly those in the natural resource industry, have historically had difficulties associated with inefficiency. These inefficiencies can worsen environmental deterioration, hamper the progress of sustainable development, and impede the resilience of ecosystems. This research study examines the significant problem of resource market inefficiency and its impact on environmental resilience in China from 1990 to 2020. The focus of our study is to determine the impact of resource allocation inefficiencies on China's environmental resilience. China's enormous role as a user and producer of natural resources makes it an appropriate case study to examine the relationship between resource market dynamics and environmental sustainability. Using sophisticated econometrics modeling approaches, we thoroughly examine the statistical connections between market efficiency, policy interventions, and other factors, offering quantitative insights into this complex interaction. The results of this study provide valuable empirical evidence and data-based conclusions that can help policymakers, businesses, and stakeholders improve resource market efficiency. This, in turn, will strengthen environmental resilience and promote sustainable development in China and other regions.
•This study examines resource market inefficiency's impact on China's environmental resilience from 1990 to 2020.•China's unique role in resource consumption and production makes it an apt case study.•Sophisticated econometrics modeling provides quantitative insights to improve resource market efficiency. |
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ISSN: | 0301-4207 |
DOI: | 10.1016/j.resourpol.2023.104516 |