Management Science· 2026Q1
From Employer Responsibility to Environmental Irresponsibility: Unintended Impacts of Social Insurance Law on Pollution Emissions
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- Q1SCImago
- 2026year
Short summary
China's 2011 Social Insurance Law, intended to protect employees, inadvertently increased industrial pollution by 10-15% (measured by COD and wastewater emissions) due to higher labor costs and financial distress, leading firms to cut environmental treatment efforts.
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Key points
- China's 2011 Social Insurance Law increased industrial pollution emissions by 10-15% (COD, wastewater).
- The law raised firms' labor costs and financial distress, reducing environmental treatment efforts.
- This effect was observed using a difference-in-differences framework.
- Stronger environmental monitoring and ESG disclosure requirements can partially offset pollution increases.
AI-generated from the title and abstract; the full text is not read.
Abstract
This study investigates the unintended effect of the introduction of the 2011 Social Insurance Law on corporate pollution emissions. Using a difference-in-differences framework, our analysis reveals that enhanced social insurance contributions lead to higher industrial pollution emissions, as measured by chemical oxygen demand and wastewater emissions. The mechanism analysis indicates that the enforcement of the law increases firms’ labor costs and financial distress, motivating them to reduce efforts on end-of-pipe treatment activities and measures taken during the production process, which results in higher pollution emission intensity. Our study highlights the potential conflict between employee protection and corporate environmental goals. Further analysis suggests that stronger environmental monitoring and environmental, social, and governance disclosure requirements can partially mitigate this tradeoff, providing valuable insights for policymakers. This paper was accepted by Caroline Flammer, sustainability. Funding: Y. Li acknowledges research support from the National Natural Science Foundation of China [Grant 72403026]. Y. Qin acknowledges research support from the National Natural Science Foundation of China [Grant 72342031]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2025.00714 .
The authors' abstract, as published at the source. Management Science, 2026 · DOI ↗
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Field: Economics and Econometrics
Economics and EconometricsEconomics, Econometrics and Finance