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Peng, P. (2025). Research on the Upgrading Effect of China’s Industrial Chain Driven by Artificial Intelligence—Based on the Analysis of Provincial Panel Data from 2012 to 2022. In G. A. Tsihrintzis, et al. (Eds.), Learning and Analytics in Intelligent Systems (pp. 269-278). Springer.
https://doi.org/10.1007/978-3-031-85952-6_25

has been cited by the following article:

• TITLE: How Urban Environmental Health Risk Management Influences Industrial Upgrading in China: A Historical Review of Academic Literature

  AUTHORS: Longlong Duan, Tian’ao Jiao, Pengxu Chen

  KEYWORDS: Urban Environmental Health Risk Management, Industrial Upgrading, China, Academic History

  JOURNAL NAME: American Journal of Industrial and Business Management, Vol.15 No.12, December 31, 2025

  ABSTRACT: In the context of the global dual carbon transition and sustainable development, strengthening urban environmental regulations and promoting healthy and orderly urban growth have become crucial for driving the transformation of national economic momentum and achieving high-quality development in the future. Among these, the issue of urban environmental health risks and their impact on urban industrial upgrading has garnered increasing attention from the academic community. This paper approaches the topic from a historical academic perspective, meticulously tracing the evolution of urban environmental health risk management policies in China, the world’s largest developing country. It analyzes the characteristics of these policies and their mechanisms affecting industrial upgrading, elucidating how this distinctive environmental regulation strategy serves to reshape urban industrial momentum. The aim is to provide valuable insights for other developing countries to strengthen ecological control measures and implement more scientifically-based composite urban environmental regulation strategies.