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<p>Considering changing climatic conditions and victimized economic growth, the present study uses data envelopment analysis to obtain the environmental efficiency scores and regresses them with the economic complexity index, a proxy for economic development, for 4 panels formulated based on geographical proximity. The panels formed are America (USA, Mexico, Canada); Europe (Germany, UK, France, Poland, Italy, Ukraine); Asia (India, China, Japan, Russia, Iran); and Africa (South Africa, Egypt, Algeria, Nigeria). The timeframe has been restricted to 1995–2023 due to the unavailability of data. The study adopts the PRISMA approach to conduct a systematic literature review. Further, random effect regression and the random coefficient for generalized least squares have been employed in the panel data for estimating regression coefficients. The results obtained from examining the impact of economic growth on environmental efficiency are quite startling. America has an inverted-N-shaped EKC, Africa exhibits a downward-sloping EKC, Europe has an N-shaped Environment Kuznets Curve (EKC), and lastly, Asia has an inverted-U-shaped EKC. The different results arise because of differences in the structure and background of each panel. For instance, America is comprised of three developed capital-intensive countries; Europe has a mix of developing and developed nations under the umbrella of the European Union which has the strongest emission trading system coupled with carbon tax; Asia comprises of labor-intensive developing nations with the exception of Japan and lastly, Africa has developing nations with a proposition of <i>‘grow now</i>,<i> clean later.’</i> Therefore, every nation must recognize the shared global goal of sustainability, which can be achieved through collective effort rather than by focusing solely on individual countries becoming clean.</p>

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Global insights on validating environmental Kuznets curve using economic complexity and environmental efficiency scores

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  • 发表日期：

    2025年10月21日

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  • Amit Kumar Singh,
  • Srishti Jain

摘要

Considering changing climatic conditions and victimized economic growth, the present study uses data envelopment analysis to obtain the environmental efficiency scores and regresses them with the economic complexity index, a proxy for economic development, for 4 panels formulated based on geographical proximity. The panels formed are America (USA, Mexico, Canada); Europe (Germany, UK, France, Poland, Italy, Ukraine); Asia (India, China, Japan, Russia, Iran); and Africa (South Africa, Egypt, Algeria, Nigeria). The timeframe has been restricted to 1995–2023 due to the unavailability of data. The study adopts the PRISMA approach to conduct a systematic literature review. Further, random effect regression and the random coefficient for generalized least squares have been employed in the panel data for estimating regression coefficients. The results obtained from examining the impact of economic growth on environmental efficiency are quite startling. America has an inverted-N-shaped EKC, Africa exhibits a downward-sloping EKC, Europe has an N-shaped Environment Kuznets Curve (EKC), and lastly, Asia has an inverted-U-shaped EKC. The different results arise because of differences in the structure and background of each panel. For instance, America is comprised of three developed capital-intensive countries; Europe has a mix of developing and developed nations under the umbrella of the European Union which has the strongest emission trading system coupled with carbon tax; Asia comprises of labor-intensive developing nations with the exception of Japan and lastly, Africa has developing nations with a proposition of ‘grow now, clean later.’ Therefore, every nation must recognize the shared global goal of sustainability, which can be achieved through collective effort rather than by focusing solely on individual countries becoming clean.