<p>It is crucial to understand the intricate relationship between the activities of top innovative nations, economic development, energy consumption patterns, and their overall effect on environmental sustainability through CO<sub>2</sub> emissions. This study examines the effects of innovation on CO<sub>2</sub> emissions, considering the role of economic expansion and disaggregated energy consumption in the top ten innovative countries. It utilizes panel data from 1995 to 2021 and employs second-generation econometric experiments, such as the Augmented Mean Group (AMG), Common Correlated Effects Mean Group (CCEMG) estimates, and the Dumitrescu-Hurlin (D-H) causality check. Our investigation shows a long-run relationship among variables. The CCEMG estimate validates the results of the AMG method, which remain consistent and robust. The outcomes reveal that decreasing CO<sub>2</sub> emissions is associated with innovation and renewable energy use and underscore the potential of innovation to significantly reduce CO<sub>2</sub> emissions, offering a beacon of hope for the future. Meanwhile, economic growth and nonrenewable energy use increase pollution, whereas petroleum causes more pollution than coal. The D-H causality check confirms the AMG and CCEMG results, producing several bidirectional and one-way causalities. Our research indicates that innovation positively affects environmental sustainability, making innovation an essential strategy for cutting emissions in highly inventive countries.</p>

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Innovation and CO2 Emissions Nexus in the Top Ten Innovative Countries: The Role of Economic Growth and Disaggregated Energy Consumption

  • Md. Saiful Islam,
  • Sk Habibur Rahaman

摘要

It is crucial to understand the intricate relationship between the activities of top innovative nations, economic development, energy consumption patterns, and their overall effect on environmental sustainability through CO2 emissions. This study examines the effects of innovation on CO2 emissions, considering the role of economic expansion and disaggregated energy consumption in the top ten innovative countries. It utilizes panel data from 1995 to 2021 and employs second-generation econometric experiments, such as the Augmented Mean Group (AMG), Common Correlated Effects Mean Group (CCEMG) estimates, and the Dumitrescu-Hurlin (D-H) causality check. Our investigation shows a long-run relationship among variables. The CCEMG estimate validates the results of the AMG method, which remain consistent and robust. The outcomes reveal that decreasing CO2 emissions is associated with innovation and renewable energy use and underscore the potential of innovation to significantly reduce CO2 emissions, offering a beacon of hope for the future. Meanwhile, economic growth and nonrenewable energy use increase pollution, whereas petroleum causes more pollution than coal. The D-H causality check confirms the AMG and CCEMG results, producing several bidirectional and one-way causalities. Our research indicates that innovation positively affects environmental sustainability, making innovation an essential strategy for cutting emissions in highly inventive countries.