Optimizing natural resource markets: Accelerating green growth in the economic recovery

Feng Luo, Chong Wang, Shu Luo, Qihang Tong and Li Xu

Resources Policy, 2024, vol. 89, issue C

Abstract: This research aims to improve natural resource markets for faster green growth during the economic recovery. Using the generalized method of moments (GMM) model, the study examines the relationship between green growth transmission and natural resource availability and reliance. Data from 30 Chinese provinces from 1986 to 2019 is analyzed. The study explores ways to enhance natural resource markets through sustainable resource management, circular economy principles, technological advancements, and legislative frameworks. It emphasizes the optimization of natural resource markets to expand economic possibilities, improve resource efficiency, and reduce environmental harm. The findings underscore the importance of holistic strategies that consider economic, social, and environmental factors simultaneously. By implementing supportive policies, sustainable practices, and investing in green technology, countries can foster a more equitable, resilient, and ecologically sustainable economic recovery.

Keywords: Natural resources markets; Green economic growth; Sustainable development; Circular economy (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420724000151
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:89:y:2024:i:c:s0301420724000151

DOI: 10.1016/j.resourpol.2024.104648

Access Statistics for this article

Resources Policy is currently edited by R. G. Eggert

More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().