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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/151686


    Title: Re-Unveiling the energy efficiency impact: Paving the way for sustainable growth in ASEAN countries
    Authors: 楊素芬
    Yang, Su-Fen;Adha, Rishan;Hong, Cheng-Yih;Muzayyanah, Syamsiyatul
    Contributors: 統計系
    Keywords: climate change;economic growth;energy efficiency;environmental Kuznets curve
    Date: 2024-04
    Issue Date: 2024-06-12 14:42:11 (UTC+8)
    Abstract: The Association of Southeast Asian Nations (ASEAN) heavily relies on fossil fuels to drive economic growth, making it one of the world's largest greenhouse gas emitters. Promoting energy efficiency has been proposed as a solution to mitigate this issue. However, the potential negative impact of energy efficiency on economic growth remains unclear. Therefore, this study aims to re-evaluate the dynamic impact of overall energy efficiency on economic growth in ASEAN countries, considering climate change factors. Unlike prior studies, this research measures overall efficiency based on both persistent and transient components of energy efficiency. This study employs two key techniques: stochastic frontier analysis (SFA) to estimate the overall energy efficiency and panel vector autoregression (PVAR) to analyze the dynamic causal effects of determinants' shocks. The findings suggest that enhancing ASEAN's overall energy efficiency could result in an 85.9% reduction in total energy consumption, indicating high levels of inefficiency in the region. While extensive energy efficiency measures might induce a temporary economic contraction in ASEAN countries, the rate of decline seems to abate over the long term. This implies that the impact of the energy efficiency shock will be most prominent during initial growth stages, progressively waning over time. Additionally, this study confirms the presence of the Environmental Kuznets Curve (EKC) for climate change and economic growth.
    Relation: Sustainable Development, pp.1-13
    Data Type: article
    DOI link: https://doi.org/10.1002/sd.3005
    DOI: 10.1002/sd.3005
    Appears in Collections:[Department of Statistics] Periodical Articles

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