JOURNAL ARTICLE
Development Status and Prospects of Industrial Ecology in China.
Published In: Meteorological & Environmental Research, 2025, v. 16, n. 4/5. P. 20 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Chen, Li 3 of 3
Abstract
In this paper, the research status of industrial ecology abroad is briefly introduced, and the development status of industrial ecology in China is summarized and evaluated, including research content, methods, applications, etc. At the same time, combined with the current needs of China's economic-social development, it looks forward to the future development direction and application prospects of industrial ecology. In the coming period, research on green transformation technologies for industrial structure and production methods, carbon peak routes and carbon reduction implementation paths for industrial systems, key technologies for adapting to climate change and achieving carbon peak and carbon neutrality in priority areas, cross regional collaborative technologies for industrial chains, regional energy resource optimization and allocation technologies, efficient industrial agglomeration and collaboration technologies, multimedia composite pollution collaborative governance technologies, collaborative governance technologies for pollution and carbon reduction, multimedia comprehensive governance of multiple pollutants, and empirical theoretical systems of industrial ecology with Chinese characteristics will be the direction of industrial ecology research in China. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Meteorological & Environmental Research. 2025/10, Vol. 16, Issue 4/5, p20
- Document Type:Article
- Subject Area:Environmental Sciences
- Publication Date:2025
- ISSN:2152-3940
- DOI:10.19547/j.issn2152-3940.2025.04-05.006
- Accession Number:189066180
- Copyright Statement:Copyright of Meteorological & Environmental Research is the property of WuChu (USA - China) Science & Culture Media Corporation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.