ORIGINAL RESEARCH article
Front. Public Health
Sec. Environmental Health and Exposome
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1615439
This article is part of the Research TopicThe Future of Cancer Surveillance ResearchView all 30 articles
Do Polluting Enterprises Contribute to Cancer?-Empirical Evidence from Tumor Registry Data in China
Provisionally accepted
Jiwen Liu1
Bingquan Lin2*- 1Jiangsu Provincial Party School, Nanjing, China
- 2Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China
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This study utilizes data from the China Cancer Registry Annual Report and the "Qichacha" database to construct a time-region regression model based on panel data, aiming to explore the impact of polluting enterprises on regional cancer incidence rates between 2000 and 2008. The empirical analysis reveals that polluting enterprises significantly increase cancer incidence rates among both male and female populations, with a particularly marked effect on lung cancer. Heterogeneity analysis shows that the effect is most pronounced in the eastern and coastal regions, followed by the central and northeastern areas, with minimal impact in the western and inland regions. There may be a threshold effect in the influence of polluting enterprises on cancer incidence. Additionally, local government environmental regulations can mitigate the negative health impacts of industrial pollution. Mechanism analysis indicates that polluting enterprises influence regional public health through environmental pollution, while also highlighting potential disparities in urban-rural medical compensation. The findings provide empirical support and mechanism validation for understanding the impact of polluting enterprises on public health, offering valuable insights for the "Healthy China" strategy and environmental governance policies.
Keywords: Polluting enterprises, Cancer incidence rate, Public Health, PM2.5, Government regulation Polluting enterprises, Government Regulation
Received: 22 Apr 2025; Accepted: 28 Jul 2025.
Copyright: © 2025 Liu and Lin. 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: Bingquan Lin, Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
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