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A clean technological innovation and eco-efficiency enhancement: A multi-index assessment of sustainable economic and environmental management

Author

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  • Ali, Syed Ahtsham
  • Alharthi, Majed
  • Hussain, Hafezali Iqbal
  • Rasul, Farhat
  • Hanif, Imran
  • Haider, Jahanzaib
  • Ullah, Saad
  • ur Rahman, Saeed
  • Abbas, Qaiser

Abstract

The relationship among economic growth, energy, and the environment is very complex and sensitive, demanding a comprehensive set of policies. This study examines the role of clean technological innovation in attaining win-win conditions for the involved sectors, along with some other macroeconomic variables. For this purpose, the five main indices used are the energy index, financial index, human index, fiscal index, and environmental index of vital macroeconomic indicators developed for G-7 countries. We employ the recently developed quantile autoregressive distributed lag (QARDL) model to assess clean technological innovation's impact on economic and environmental conditions along with other indicators for the 2008–2018 period. According to the results, the energy index, which consists of research and development (R&D) in clean technological innovation in energy and renewable energy, has a significant and negative impact on greenhouse gasses (GHG) emissions and has a positive and significant impact on economic growth. This study is pioneering in its nature, finding that productive expenditures on R&D for clean technological innovation can simultaneously enhance economic growth and improve environmental conditions. Based on empirical outcomes, this study suggests advanced policies to enhance economic growth without compromising environmental conditions in G-7 countries.

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  • Ali, Syed Ahtsham & Alharthi, Majed & Hussain, Hafezali Iqbal & Rasul, Farhat & Hanif, Imran & Haider, Jahanzaib & Ullah, Saad & ur Rahman, Saeed & Abbas, Qaiser, 2021. "A clean technological innovation and eco-efficiency enhancement: A multi-index assessment of sustainable economic and environmental management," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000056
    DOI: 10.1016/j.techfore.2021.120573
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    8. Mehrbakhsh Nilashi & Shahla Asadi & Rabab Ali Abumalloh & Sarminah Samad & Fahad Ghabban & Eko Supriyanto & Reem Osman, 2021. "Sustainability Performance Assessment Using Self-Organizing Maps (SOM) and Classification and Ensembles of Regression Trees (CART)," Sustainability, MDPI, vol. 13(7), pages 1-24, March.
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    10. Yuanyuan Chen & JungHyun Song, 2023. "The Technological Innovation Efficiency of China’s Renewable Energy Enterprises: An Estimation Based on a Three-Stage DEA Model," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    11. Khalfaoui, Rabeh & Stef, Nicolae & Wissal, Ben Arfi & Sami, Ben Jabeur, 2022. "Dynamic spillover effects and connectedness among climate change, technological innovation, and uncertainty: Evidence from a quantile VAR network and wavelet coherence," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
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