The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies
Abstract
Faced with the dual constraints of resources and the environment, green technology innovation has become an important measure to solve the development challenges of heavily polluting industries. From the perspective of institutional regulation theory, this paper studies the impact of direct environmental regulation on green technology innovation in Chinese listed companies of heavily polluting industries by using the Panel Poisson fixed effect model. Besides, the heterogeneity of ownership and industry is discussed. The results indicate that direct environmental regulations exert a strong and significant incentive effect on green technology innovations in heavily polluting industries. Regarding the heterogeneity of enterprise ownership, direct environmental regulations were found to be more significant to the green technology innovations of state-owned listed companies in such industries. Considering industry heterogeneity, compared with labor-resource intensive industries, direct environmental regulation can effectively encourage green technology innovations in technology-capital intensive industries. This study provides a policy basis for promoting environmental governance and green technology innovation in China's heavily polluting industries.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
The innovation–economic growth nexus: Global evidence
Hasan, I., & Tucci, C. L. (2010) · Research Policy · doi:10.1016/j.respol.2010.07.005 · Cited by 496
Cited by
Peng, H., Shen, N., Ying, H., & Wang, Q. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128044 · Cited by 412
Green finance and sustainability development goals in Indonesian Fund Village
Ronaldo, R., & Suryanto, T. (2022) · Resources Policy · doi:10.1016/j.resourpol.2022.102839 · Cited by 132
Liu, Y., Liu, M., Wang, G., Zhao, L., & An, P. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-13780-2 · Cited by 120
Zameer, H., Shahbaz, M., & Kontoleon, A. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2023.118567 · Cited by 29
Zakaria (2025) · doi:10.3390/su17094053 · Cited by 2
Metadata
- Authors
- Cai, X., Zhu, B., Zhang, H., Li, L., & Xie, M.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 746
- Pages
- 140810
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W3042149494
- Cited by
- 688
- References
- 2
- FWCI
- 90.80
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies. https://app.cochat.ai/papers/10.1016/j.scitotenv.2020.140810
- The paper
- Cai, X., Zhu, B., Zhang, H., Li, L., & Xie, M. (2020). Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.140810
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
