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Innovational duality and sustainable development: finding optima amidst socio-ecological policy trade-off in post-COVID-19 era
Journal of Enterprise Information Management ; ahead-of-print(ahead-of-print):26, 2022.
Article in English | Web of Science | ID: covidwho-1612768
ABSTRACT
Purpose This study aims to analyze the socio-ecological policy trade-off caused by technological innovations in the post-COVID-19 era. The study outcomes are utilized to design a comprehensive policy framework for attaining sustainable development goals (SDGs). Design/methodology/approach Study is done for 100 countries over 1991-2019. Second-generation estimation method is used. Innovation is measured by total factor productivity, environmental quality is measured by carbon dioxide (CO2) emissions and social dimension is captured by unemployment. Findings Innovation-CO2 emissions association is found to be inverted U-shaped and innovation-unemployment association is found to be U-shaped. Research limitations/implications The study outcomes show the conflicting impact of technological innovation leading to policy trade-off. This dual impact of innovation is considered during policy recommendation. Practical implications The policy framework recommended in the study shows a way to address the objectives of SDG 8, 9 and 13 during post-COVID-19 period. Social implications Policy recommendations in the study show a way to internalize the negative social externality exerted by innovation. Originality/value This study contributes to the literature by considering the policy trade-off caused by innovation and recommending an SDG-oriented policy framework for the post-COVID-19 era.
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Full text: Available Collection: Databases of international organizations Database: Web of Science Topics: Long Covid Language: English Journal: Journal of Enterprise Information Management Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Topics: Long Covid Language: English Journal: Journal of Enterprise Information Management Year: 2022 Document Type: Article