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Evaluating the Ecological Footprint of Biomass Energy: Parametric and Time-Varying Nonparametric Analyses

Author

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  • Shamal Chandra Karmaker

    (International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, Fukuoka 819-0395, Japan
    Department of Statistics, University of Dhaka, Dhaka 1000, Bangladesh)

  • Kanchan Kumar Sen

    (International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, Fukuoka 819-0395, Japan
    Department of Statistics, University of Dhaka, Dhaka 1000, Bangladesh
    Mechanical Engineering Department, Kyushu University, Fukuoka 819-0395, Japan)

  • Shaymal C. Halder

    (Department of Statistics, Grand Valley State University, Allendale, MI 49401, USA)

  • Andrew Chapman

    (International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, Fukuoka 819-0395, Japan)

  • Shahadat Hosan

    (International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, Fukuoka 819-0395, Japan)

  • Md. Matiar Rahman

    (Department of Statistics, University of Dhaka, Dhaka 1000, Bangladesh)

  • Bidyut Baran Saha

    (International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, Fukuoka 819-0395, Japan
    Department of Statistics, University of Dhaka, Dhaka 1000, Bangladesh)

Abstract

The growing discourse surrounding biomass energy’s environmental ramifications has ignited debate among policymakers. While biomass remains a primary and readily accessible energy source, various studies have extensively examined its implications for health and the economy. However, there is a lack of evidence regarding its role in mitigating climate change. This study delves into the ecological footprint implications of biomass energy consumption in the Organisation for Economic Co-operation and Development (OECD) countries, spanning from 1990 to 2017. While the existing literature predominantly relies on parametric methodologies, offering estimates of biomass energy’s average impact on ecological footprints, it fails to capture temporal variations in this relationship. Consequently, this study employs both parametric and nonparametric time-varying techniques to elucidate the evolving impact of biomass energy utilization on ecological footprints across the studied nations. Findings from both analytical approaches converge to suggest that biomass energy usage amplifies the ecological footprint of OECD nations. Notably, the nonparametric analysis underscores the dynamic nature of this relationship over time. Based on these insights, policy recommendations are given to mitigate the adverse environmental consequences of biomass energy usage while exploring cleaner alternative energy sources.

Suggested Citation

  • Shamal Chandra Karmaker & Kanchan Kumar Sen & Shaymal C. Halder & Andrew Chapman & Shahadat Hosan & Md. Matiar Rahman & Bidyut Baran Saha, 2024. "Evaluating the Ecological Footprint of Biomass Energy: Parametric and Time-Varying Nonparametric Analyses," Sustainability, MDPI, vol. 16(16), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6942-:d:1455515
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    References listed on IDEAS

    as
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