Can " Zero waste city" policy promote green technology? Evidence from econometrics and machine learning.
Autor: | Bi S; Business School, Beijing Normal University, Beijing, 100875, China. Electronic address: ShenghaoBi@outlook.com., Du J; School of Accountancy, Shandong University of Finance and Economics, Jinan, 250014, China. Electronic address: 202008140740@sdufe.edu.cn., Yan Z; Business School, Beijing Normal University, Beijing, 100875, China. Electronic address: yanzhenjun@bnu.edu.cn., Appolloni A; Department of Management and Law, University of Rome Tor Vergata, Rome, 00133, Italy. Electronic address: andrea.appolloni@uniroma2.it. |
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Jazyk: | angličtina |
Zdroj: | Journal of environmental management [J Environ Manage] 2024 Nov; Vol. 370, pp. 122895. Date of Electronic Publication: 2024 Oct 13. |
DOI: | 10.1016/j.jenvman.2024.122895 |
Abstrakt: | The promotion of green technology innovation (GTI) is regarded as an effective way to protect the environment and achieve sustainable development. The "Zero waste city" construction pilot policy (ZWCP), is an important policy for the promotion of waste management, and the achievement of sustainable development and circular economy. The paper explores the effect of ZWCP on GTI using the difference-in-differences model and machine learning. The result shows that ZWCP significantly promotes GTI. In addition, causal forest modeling, a type of machine learning method, similarly validates this result. The mechanism effect suggests that ZWCP promotes GTI by increasing research expenditure and enhancing informational development. The heterogeneity effect suggests that ZWCP is more powerful in promoting GTI when it is implemented in western, low administrative level, and resource-based cities. The paper provides a reference for waste management policies and development of GTI in other countries. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 Elsevier Ltd. All rights reserved.) |
Databáze: | MEDLINE |
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