The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Board gender diversity and carbon emissions: European evidence on curvilinear relationships and critical mass
Open accessAbstract
The role of European businesses in addressing environmental issues and climate change has taken center stage with the European Green Deal. With increasing attention to the effect of board gender diversity (BGD) on firms' environmental performance, the question arises whether BGD has any influence on carbon emissions. Based on legitimacy and critical mass theory, this study empirically investigates the impact of BGD on firms' carbon performance (CP), based on total carbon emissions intensity. The paper relies on two‐stage least squares (2SLS) regressions with instrumental variable (IV) and a two‐step generalized method of moments (GMM) system approach to analyze a cross‐country sample of 3123 observations from non‐financial firms in the European STOXX600 index over the 2009–2018 period. Our findings add to the growing empirical evidence twofold: (1) there is a robust linear and positive relationship between BGD and CP, whereas some indication of a U‐shaped relationship is found; and (2) we find that a critical mass of at least two women directors needs to be reached to increase CP. Our research results contribute to the current discussion on sustainable corporate governance, especially in the European capital market, and have implications for researchers, business practice, and regulatory issues alike.
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
Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00009-8 · Cited by 22,571
Managing Legitimacy: Strategic and Institutional Approaches
Suchman, M. C. (1995) · The Academy of Management Review · doi:10.2307/258788 · Cited by 19,903
Another look at the instrumental variable estimation of error-components models
Arellano, M., & Bover, O. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01642-d · Cited by 19,880
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1995) · Working Paper Series · doi:10.1920/wp.ifs.1995.9517 · Cited by 14,755
Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches
Petersen, M. A. (2009) · Review of Financial Studies · doi:10.1093/rfs/hhn053 · Cited by 10,746
How to do Xtabond2: An Introduction to Difference and System GMM in Stata
Roodman, D. (2009) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900106 · Cited by 9,848
Mostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2009) · doi:10.1515/9781400829828 · Cited by 9,467
A finite sample correction for the variance of linear efficient two-step GMM estimators
Windmeijer, F. (2005) · Journal of Econometrics · doi:10.1016/j.jeconom.2004.02.005 · Cited by 5,942
Metadata
- Authors
- Nuber, C., & Velte, P.
- Venue
- Business Strategy and the Environment
- Publisher
- Wiley
- Published
- 2021-01-17
- Volume
- 30
- Issue
- 4
- Pages
- 1958-1992
- ISSN
- 0964-4733 (ISSN-L)
- 1099-0836
- OpenAlex
- W3122357789
- Cited by
- 367
- References
- 95
- FWCI
- 64.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Board gender diversity and carbon emissions: European evidence on curvilinear relationships and critical mass. https://app.cochat.ai/papers/10.1002/bse.2727
- The paper
- Nuber, C., & Velte, P. (2021). Board gender diversity and carbon emissions: European evidence on curvilinear relationships and critical mass. Business Strategy and the Environment. https://doi.org/10.1002/bse.2727
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.