IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-031-94862-6_13.html
   My bibliography  Save this book chapter

The Implications of Energy Transition and Development of Renewable Energy on Sustainable Development Goals of Two Asian Tigers

In: Machine Learning Technologies on Energy Economics and Finance

Author

Listed:
  • Rajib Bhattacharyya

    (Goenka College of Commerce and Business Administration)

Abstract

Of late, the transition of global energy resource base and shift towards de-carbonization has been one of the most critical and sensitive issues in the debates and discussions on sustainable development goal index (SDGI), climate change and geopolitical policies. The issue of energy transition from fossil fuel to zero-carbon energy has serious implications in the context of energy crisis, energy affordability, security and sustainability. The Energy Transition Index (ETI) attempts to measure the performance of energy systems and readiness for energy transition. China and India are highly vulnerable to climate change, but have shown significant improvements in ETI performances. This ongoing process of assigning highest priority to sustainable development may, on the one hand, promote balanced economic growth, preserve natural resources, enhance social well-being, bring about structural transformation through technology upgradation, create green and healthier climate, but at the same time may have adverse impact on employment, investment and capital formation as well as consumption pattern and distribution. The present paper attempts to analyse both the short run and long run macroeconomic impact of various components of ETI on SDGI using the ARDL bound test model and granger causality test to find the unidimensional and bi-directional causality in the two nations. It also highlights the importance of Energy Trilemma Framework.

Suggested Citation

  • Rajib Bhattacharyya, 2025. "The Implications of Energy Transition and Development of Renewable Energy on Sustainable Development Goals of Two Asian Tigers," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Wang Yong (ed.), Machine Learning Technologies on Energy Economics and Finance, pages 315-332, Springer.
  • Handle: RePEc:spr:isochp:978-3-031-94862-6_13
    DOI: 10.1007/978-3-031-94862-6_13
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-3-031-94862-6_13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.