Compulsory environmental pollution liability insurance and corporate risk taking: a difference-in-difference approach

Abstract

Purpose

Many developing countries have encountered frequent pollution accidents during their rapid development, while the previously weak environmental insurance systems could seriously undermine the progress of sustainable development. Some developing countries like China has initiated and strengthened environmental pollution liability insurance, so how effective this system would be in resolving enterprises environmental risks need to be further revealed.

Design/methodology/approach

This research identifies the possible consequence that compulsory environmental pollution liability insurance pilot (CEPLIP) policy would bring to the risk-taking capacity of heavy-polluting corporations of China by the Differences-in-Differences (DID) approach.

Findings

The result supports the implementation of CEPLIP policy in increasing corporate risk-taking capacity. Furthermore, the CEPLIP policy can promote the corporate’s risk-taking capacity by reducing financial distress constraints and enhancing trade credit, supporting its dual role of “fallback effect” as well as “external supervision effect” of environmental insurance. As a result of heterogeneity test, the policy is more pronounced in enterprise samples with mature life cycle stage or lower industrial concentration degree. Similarly, it is more significant in enterprise samples owned better environmental management capabilities or greater strategic deviance.

Originality/value

This paper verifies the effectiveness of the CEPLIP policy by strengthening its supervision mechanism and restraining opportunistic behavior tendency and provides implications for alleviating increasing environmental risk pressure and building more sustainable environmental protection management systems.

Citation

Liu, S., Mai, Q. and Chen, X. (2024), "Compulsory environmental pollution liability insurance and corporate risk taking: a difference-in-difference approach", Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-12-2023-2623