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Investigating How Firms in Emerging Economies Integrate AI‐Driven Systems and ESG Metrics Into Biodiversity Conservation and Circular Economy Strategies

Bibliographic Data

ID22418397
AuthorsSuleman Bawa (0009-0007-4520-3492, School of Business Xi'an Fanyi University Xian China, corresponding author), Simplice Anutechia Asongu (0000-0001-5227-5135, School of Economics University of Johannesburg Johannesburg South Africa)
Year2026
Volume35
Issue5
Pages7420-7435
Publication date2026-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBusiness Strategy and the Environment (JOURNAL)
Journal identifiersISSN: 0964-4733 • E-ISSN: 1099-0836
PublisherWiley (PUBLISHER • GB)
DOI10.1002/bse.70547
OpenAlexW7124489258
LanguageEN
Citations received3
References cited39

This study investigates how firms in emerging economies integrate artificial intelligence (AI) with environmental, social, and governance (ESG) practices to enhance biodiversity conservation and circular economy outcomes. It examines the mediating role of corporate social responsibility (CSR) governance and the moderating effect of institutional strength in shaping this relationship. Using longitudinal data from 4320 firm‐year observations across India, Brazil, and Ghana (2018–2024), a multilevel panel structural equation model (SEM) was employed with extensive robustness and endogeneity diagnostics. Findings show that AI adoption is positively associated with ESG integration and environmental performance, mediated by CSR governance. Institutional strength strengthens the ESG–performance link, with the strongest effects in high‐governance contexts. Cross‐country analyses reveal the AI–ESG–performance pathway is most pronounced in India, followed by Brazil and Ghana. The study advances an integrated AI–ESG–CSR framework, illustrating how digital intelligence translates into measurable ecological sustainability in emerging economies. It also highlights the need for ethical AI governance and social equity considerations.

Corporate governance · Corporate social responsibility · Emerging markets · Endogeneity · Entrepreneurship · Panel data · Sustainability · Bioeconomy and Sustainability Development · Ethics and Social Impacts of AI · Innovation, Sustainability, Human-Machine Systems

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Unique citing works3
Citations per year3
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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