Corporate Social Responsibility Based on Radial Basis Function Neural Network Evaluation Model of Low-Carbon Circular Economy Coupled Development
Author
Abstract
Suggested Citation
DOI: 10.1155/2021/5592569
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Chuan Tian & Guohui Feng & Huanyu Li, 2023. "Empirical Study on the Impact of Urbanization and Carbon Emissions under the Dual-Carbon Framework Based on Coupling and Coordination," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
- Jarmila Straková & Yaroslava Kostiuk, 2023. "Importance of Business Process Quality for Creating Added Value and Raising Reputation of Companies in Low-Carbon Economy," Energies, MDPI, vol. 16(17), pages 1-18, September.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:5592569. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.