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Who Benefits From Green Tech? How Eco‐Innovation and Process Eco‐Innovation Shape Emissions Inequality Across G7 Economies

Bibliographic Data

ID12305761
AuthorsBrahim Bergougui (0000-0002-2179-8854, International Institute of Social Studies (ISS) Erasmus University Rotterdam The Hague The Netherlands, corresponding author), Buhari Doğan (0000-0003-0655-4699, Department of Economics Suleyman Demirel University Isparta Turkey), Emmanuel Yamoah Cobbold (0000-0003-2834-9565, Ulster University, Birmingham Campus Birmingham UK), Hayet Soltani (0000-0001-7141-0398, Department of Finance, Faculty of Economics and Management of Sfax, Laboratory LEG University of Sfax Sfax Tunisia), Hamid Ghazi H Sulimany (0000-0002-0308-1788, Accounting Department, Business Administration College Taif University Taif Saudi Arabia), Ehab Ebrahim Mohamed Ebrahim (0009-0008-7355-0878, Department of Economics College of Business, Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh Saudi Arabia)
Year2025
Volume34
Issue3
Pages3699-3719
Publication date2025-12-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Development (JOURNAL)
Journal identifiersISSN: 0968-0802 • E-ISSN: 1099-1719
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sd.70525
OpenAlexW4417179570
LanguageEN
Citations received1
References cited98

This study examines the asymmetric effects of eco‐innovation on income‐based carbon emissions inequality within G7 economies over the period 1990–2023. Theoretically grounded in innovation diffusion theory and political economy frameworks, we argue that green technological advancements exert non‐linear, directional effects on emissions inequality due to differential adoption patterns across income groups, elite capture mechanisms, and path‐dependent lock‐in effects. Unlike prior research that conflates eco‐innovation types or focuses solely on aggregate emissions, we distinguish between comprehensive eco‐innovation ( ECON ) and process‐oriented eco‐innovation ( ECOP ), examining their separate positive and negative shocks on emissions inequality—measured as per capita CO 2 emissions of the wealthiest 10% of the population. Employing the method of moments quantile regression (MMQR) with asymmetric specifications, we provide novel evidence that increases and decreases in eco‐innovation produce differential distributional impacts across the emissions inequality spectrum. Our findings reveal that while eco‐innovation expansion reduces emissions inequality in low‐inequality contexts, its benefits are asymmetrically concentrated among affluent groups in high‐inequality settings, with process eco‐innovation showing heterogeneous effects across quantiles and innovation directions. These results underscore the critical need for differentiated policy interventions that ensure green technological transitions promote both environmental sustainability and social equity, preventing the entrenchment of carbon privilege among wealthy populations

Consumption (sociology · Differential (mechanical device · Economic inequality · Elite · Greenhouse gas · Inequality · Per capita · Quantile regression · Sustainability · Energy, Environment, Economic Growth · Environmental Sustainability in Business · Sustainability and Climate Change Governance

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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