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Evaluating the impact of technological innovation and energy efficiency on load capacity factor: empirical analysis of India

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Abstract

The determinants of environmental degradation have been investigated many times by utilizing carbon dioxide emissions and/or ecological footprint. However, these traditional environmental degradation indicators do not consider the supply side of environmental problems. Therefore, this study focuses on the dynamic influence of financial development, energy efficiency, economic growth, and technological innovation on environmental degradation in India through the load capacity factor, including both the supply and demand sides of environmental problems. For that purpose, the recently developed dynamically simulated autoregressive distributed lag (ARDL) method is employed using the annual time-series data extending from 1980–2020. The dynamically simulated ARDL results demonstrate that financial development, economic growth, and technological innovation have a dynamic adverse impact on the load capacity factor, whereas energy efficiency has a positive dynamic influence on environmental quality. In addition, the results support the validity of the environmental Kuznets curve hypothesis as the negative effect of economic growth on environmental quality decreases over time. Based on the study findings, policy recommendations are provided for India. Finally, this study utilizing load capacity factor as an indicator for environmental quality will provide new topics in exploring the determinants of environmental degradation.

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Data Availability

The datasets analyzed during the study are available in the World Development Indicators (WDI), and Global Footprint Network (GFN).

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Authors and Affiliations

  1. Department of Business Administration, Faculty of Economics and Administrative Sciences, Tokat Gaziosmanpasa University, Tokat, Turkey

    Oktay Özkan

  2. Graduate School of Business, Universiti Sains Malaysia, Pulau Pinang, Malaysia

    Faiza Saleem

  3. Department of Economics and Finance, Sunway University, Subang Jaya, Malaysia

    Arshian Sharif

  4. Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon

    Arshian Sharif

  5. University of Economics and Human Sciences in Warsaw, Warsaw, Poland

    Arshian Sharif

  6. College of International Studies, Korea University, Seoul, South Korea

    Arshian Sharif

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  1. Oktay Özkan
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  2. Faiza Saleem
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The authors have contributed equally to this research paper. Dr. Oktay, data anlaysis and chapters 1 and 2 write-up. Dr. Faiza, data collection and chapters 3 to 5 write-up. Dr. Arshian, idea generation, data analysis, and proofreading.

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Özkan, O., Saleem, F. & Sharif, A. Evaluating the impact of technological innovation and energy efficiency on load capacity factor: empirical analysis of India. Environ Sci Pollut Res 31, 5610–5624 (2024). https://doi.org/10.1007/s11356-023-31233-w

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