Skip to main content
Log in

From contingency to repeat: the concept and measurement of repeated environmental violations in enterprises

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

As a byproduct of the rapid development of China’s economy, the tradeoff between environmental protection and economic growth has become increasingly prominent. Environmental violations, especially repeated environmental violations (REVs), are becoming an increasing concern. Nevertheless, previous studies mainly empirically analyze single and static environmental violations, and there is still a lack of attention paid to clearly defining REVs as well as clarifying their influence on enterprises. In this study, we introduce the concept of REVs and provide a mathematical measurement framework for quantifying them. Moreover, using a sample of Chinese listed companies, we further investigate the role of enterprises’ ownership type, geographical location and industry type in the relationship between REVs and enterprises’ financial losses. The results show that the average financial loss caused by REVs is significantly higher in state-owned enterprises (SOEs) than in nonstate-owned enterprises (NSOEs) and more intensive in high-pollution than in low-pollution enterprises. Moreover, enterprises operating in eastern China suffer greater losses than those in midwest China. The results also indicate that monetary penalties play a critical role in environmental regulations, while such regulations need to be further improved to address enterprise REVs. This study fills the gaps in the existing research on REVs and sheds light on the importance of environmental protection in developing countries.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Notes

  1. The data are from the Inspection Report on Environmental Information Disclosure in 2019 Annual Reports of A-share Listed Companies, which is reported by the Shanghai Minhang District Qingyue Environmental Information Technology Service Center, which is a nonbusiness organization committed to promoting environmental information disclosure and helping companies “go green.”

  2. https://www.ipe.org.cn/GreenSecurities/Securities.html. IPE is a nonprofit environmental research institute committed to collecting, collating and analyzing the environmental information disclosed by governments and enterprises.

  3. Based on the heavy polluting industry definition of the Ministry of Environmental Protection of China, this paper regards power, steel, cement, electrolytic aluminum, coal, metallurgy, building materials, mining, chemicals, petrochemicals, pharmaceuticals, light industry, textiles and tanning as high-pollution industries.

  4. According to the National bureau of statistics of China, the eastern region includes Beijing, Tianjin, Hebei, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, Guangdong and Hainan provinces (cities); the central and western regions include Shanxi, Anhui, Jiangxi, Henan, Hubei, Hunan, Inner Mongolia, Guangxi, Chongqing, Sichuan, Guizhou, Yunnan, Tibet, Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang, Liaoning, Jilin and Heilongjiang provinces (cities).

  5. CSMAR is developed by the China Accounting and Finance Research Center of the Hong Kong Polytechnic University and the Shenzhen GTI Financial Information Limited.

References

Download references

Funding

The authors did not receive support from any organization for the submitted work.

Author information

Authors and Affiliations

Authors

Contributions

CH was involved in conceptualization and writing original draft preparation; HL was involved in data curation; ZW was involved in conceptualization, methodology and writing—review and editing; MT was involved in formal analysis; and YW and LG were involved in data curation.

Corresponding author

Correspondence to Zihao Wang.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

Not applicable.

Consent for publication

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, C., Li, H., Wang, Z. et al. From contingency to repeat: the concept and measurement of repeated environmental violations in enterprises. Environ Dev Sustain 26, 9455–9480 (2024). https://doi.org/10.1007/s10668-023-03103-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-023-03103-5

Keywords

Navigation