IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-981-97-6687-1_15.html
   My bibliography  Save this book chapter

Greening Tomorrow: A Comparative Outlook on Sustainability in India and China

In: Financial Markets, Climate Risk and Renewables

Author

Listed:
  • Simran Agarwal

    (IIT Bombay)

  • Puja Padhi

    (IIT Bombay)

Abstract

In contemporary research, there is a growing emphasis on the goal of reducing carbon emissions to build a green and sustainable planet. The rise in carbon emissions has resulted in a significant increase in global temperatures and subsequent changes in the climate worldwide. India and China, the two biggest contributors to GHG emissions in the world, face huge challenges in this regard. Securing sufficient financing is essential for these countries to achieve their climate goals. This study employs the bound test method and Autoregressive Distributed Lag Error Correction Model (ARDL-ECM) methodology to estimate the long-term and short-term associations among carbon emissions, green financing, renewable energy usage, and financial development in India and China. The findings reveal that green finance mitigates emissions per capita in China, while it has the opposite effect in India. Conversely, the adoption of renewable energies contributes to reducing emissions in both countries. Furthermore, financial development in China is linked with an increase in carbon emissions, whereas India has not seen a significant impact. Thus, examining these contradictory situations is a necessary step towards establishing an international consensus on climate change mitigation strategies for both countries.

Suggested Citation

  • Simran Agarwal & Puja Padhi, 2024. "Greening Tomorrow: A Comparative Outlook on Sustainability in India and China," Springer Proceedings in Business and Economics, in: Sandeep Mohapatra & Puja Padhi & Vijeta Singh (ed.), Financial Markets, Climate Risk and Renewables, pages 1-17, Springer.
  • Handle: RePEc:spr:prbchp:978-981-97-6687-1_15
    DOI: 10.1007/978-981-97-6687-1_15
    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 search for a similarly titled item that would be available.

    More about this item

    Keywords

    CO2; Green finance; Renewable energy; India; China;
    All these keywords.

    JEL classification:

    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:prbchp:978-981-97-6687-1_15. 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.