Following publication, concerns were raised over the lack of transparency of the methodology, and potential political partiality presented in the article. An investigation was conducted in line with Frontiers policies, and it was confirmed that the conclusions presented were undermined by the above concerns, therefore the article has been retracted.
The retraction of the article was approved by the Chief Editor of Frontiers in Environmental Science and the Editor-in-Chief of Frontiers. The authors agree to the retraction.
Summary
Keywords
carbon neutrality, Data Mining, Governance efficiency, Index system, Weight allocation, CV-CRITICAL, Pearson correlation coefficient
Citation
Frontiers Editorial Office (2023) Retraction: Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality. Front. Environ. Sci. 11:1286398. doi: 10.3389/fenvs.2023.1286398
Received
31 August 2023
Accepted
22 September 2023
Published
26 September 2023
Approved by
Steffen Fritz, International Institute for Applied Systems Analysis (IIASA), Austria
Volume
11 - 2023
Updates
Copyright
© 2023 Frontiers Editorial Office.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Frontiers Editorial Office, research.integrity@frontiersin.org
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