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Manjeevan Seera

Biographic Data

ID4463762
NAMEManjeevan Seera
GIVEN NAMESManjeevan
FAMILY NAMESeera
SIGNATURESEERA M
ORCID0000-0002-2797-3668
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS1
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Collaboration or compliance? Unpacking ESG performance and carbon penalties

    Open Access•Manjeevan Seera, Ravichandran K Subramaniam et al.•ARTICLE•Sustainable Futures•2025•Cited by: 1•References: 1

    This study addresses a key research gap by investigating how collaboration with government agencies influences ESG (Environmental, Social, and Governance) performance and carbon penalty outcomes among Fortune 500 firms, using machine learning techniques. Applying logistic regression and decision tree models to data from 2017 to 2021, we find that Scope 3 emissions dominate corporate carbon footprints and that active government collaboration is as…

  • Collaboration or compliance? Unpacking ESG performance and carbon penalties

    Open Access•Manjeevan Seera, Ravichandran K Subramaniam et al.•ARTICLE•Sustainable Futures•2025•Cited by: 1•References: 1

    This study addresses a key research gap by investigating how collaboration with government agencies influences ESG (Environmental, Social, and Governance) performance and carbon penalty outcomes among Fortune 500 firms, using machine learning techniques. Applying logistic regression and decision tree models to data from 2017 to 2021, we find that Scope 3 emissions dominate corporate carbon footprints and that active government collaboration is as…

  • Collaboration or compliance? Unpacking ESG performance and carbon penalties

    Open Access•Manjeevan Seera, Ravichandran K Subramaniam et al.•ARTICLE•Sustainable Futures•2025•Cited by: 1•References: 1

    This study addresses a key research gap by investigating how collaboration with government agencies influences ESG (Environmental, Social, and Governance) performance and carbon penalty outcomes among Fortune 500 firms, using machine learning techniques. Applying logistic regression and decision tree models to data from 2017 to 2021, we find that Scope 3 emissions dominate corporate carbon footprints and that active government collaboration is as…

Accounting (1 works) · Business (1 works) · Carbon fibers (1 works) · Climate Change Policy and Economics (1 works) · Compliance (psychology (1 works) · Computer Science (1 works) · Energy, Environment, and Transportation Policies (1 works) · Environmental Sustainability in Business (1 works) · Psychology (1 works) · Social Psychology (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae