Exploring the link between technological innovation, economic development, and CO2 emissions in the US. Application of the ANN and EKC techniques

S. Adebanjo, Wasiu Babajide Akintunde
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Abstract

The developed world, which includes the United States of America (US), constantly works to reduce carbon dioxide emissions for the benefit of its people's health while advancing technical innovation to achieve impressive economic development. This motivates this study to use artificial neural network (ANN) and the Environmental Kuznets Curve (EKC) technique to explore the relationship between technological innovation, economic development, and CO2 emissions in the US in order to add to the body of knowledge already in existence. For this study, secondary data from 1990 to 2023 was gathered from the World Bank and globaleconomy.com. The results show that, whereas the artificial neural network shows that economic development contributes more to C02 emissions, the Environmental Kuznets Curve shows that higher levels of technical innovation and economic development lower C02 emissions. Hence, in order to maintain C02 emissions at the lowest possible level and improve the nation's atmospheric conditions, the US government should guarantee sustainable policies that will promote economic development and technological innovation.
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探索美国技术创新、经济发展和二氧化碳排放之间的联系。ANN 和 EKC 技术的应用
包括美利坚合众国(美国)在内的发达国家在推进技术创新以实现令人瞩目的经济发展的同时,也在不断努力减少二氧化碳排放,以造福人民健康。这促使本研究使用人工神经网络(ANN)和环境库兹涅茨曲线(EKC)技术来探讨美国技术创新、经济发展和二氧化碳排放之间的关系,以丰富已有的知识体系。本研究从世界银行和 globaleconomy.com 收集了 1990 年至 2023 年的二手数据。研究结果表明,人工神经网络显示经济发展对二氧化碳排放的贡献更大,而环境库兹涅茨曲线则显示更高水平的技术创新和经济发展会降低二氧化碳排放。因此,为了将二氧化碳排放量保持在尽可能低的水平,并改善国家的大气环境,美国政府应保证可持续的政策,促进经济发展和技术创新。
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