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ORIGINAL RESEARCH article

Front. Public Health
Sec. Environmental Health and Exposome
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1436304

Addressing Pollution Challenges for Enterprises under Diverse Extreme Climate Conditions: Artificial Intelligence-Driven Experience and Policy Support of Top Chinese Enterprises

Provisionally accepted
Jingjing Sun Jingjing Sun 1Xin Guan Xin Guan 2Yanzhao Zeng Yanzhao Zeng 3Jiali Zhang Jiali Zhang 1Xiaodie Chen Xiaodie Chen 1Xi Zhan Xi Zhan 4*
  • 1 School of Public Administration, Guangzhou University, Guangzhou, China
  • 2 Guangzhou Xinhua University, Guangzhou, China
  • 3 School of Economics and Statistics, Guangzhou University, Guangzhou, China
  • 4 School of Management, Guangzhou University, Guangzhou, China

The final, formatted version of the article will be published soon.

    This study explores the experiences of leading Chinese companies in environmental conservation amid varying extreme climate conditions, emphasizing the roles of artificial intelligence (AI) and governmental assistance. A survey involving 200 participants revealed a widespread recognition of Tencent’s green initiatives and a robust endorsement for AI’s role in environmental protection. Additionally, a considerable number of firms are contemplating the adoption of AI technologies to enhance environmental management practices. Initiatives such as optimizing energy management, deploying intelligent HVAC (Heating, Ventilation, and Air Conditioning) systems, and improving operations of data centers and smart lighting systems are already underway. The findings suggest a strong belief in the potential for AI to further advance environmental protection efforts, with a call for increased governmental backing to nurture this development. Given these insights, the future of AI in environmental protection appears bright, underscored by the essential role of policy support from governments. It’s crucial, therefore, for both businesses and governments to forge a partnership focused on leveraging AI for environmental sustainability, contributing significantly to conservation efforts.

    Keywords: top Chinese enterprises, Environmental protection, diverse extreme climate, Artificial intelligence technology, policy support

    Received: 11 Jul 2024; Accepted: 27 Aug 2024.

    Copyright: © 2024 Sun, Guan, Zeng, Zhang, Chen and Zhan. 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) or licensor 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: Xi Zhan, School of Management, Guangzhou University, Guangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.