IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v94y2024ics0301420724004501.html
   My bibliography  Save this article

The role of fintech, mineral resource abundance, green energy and financial inclusion on ecological footprint in E7 countries: New insight from panel nonlinear ARDL cointegration approach

Author

Listed:
  • Huo, Songtao
  • Ni, Likun
  • Basheer, Muhammad Farhan
  • Al-Aiban, Khalid M.
  • Hassan, Saira Ghulam

Abstract

This main objective of the study is to examine the impact of green energy, financial inclusion, fintech, and mineral resource abundance on the ecological footprints (EFP) of the top seven emerging economies. The research mainly explores the role of mineral resource abundance and fintech advancements in promoting environmental sustainability, while also analyzing the benefits of green energy in reducing ecological footprints in E7 countries. This research employed the panel Nonlinear ARDL approach to gain a deeper understanding of positive and negative variations of the data of E7 countries from 2000 to 2020.The study employed the robust and second-generation panel unit root test to enhance the understanding of the estimated model. There are many benefits to using these most robust second-generation techniques; such as they possess an ability to recognize patterns and correlations in panel data. In addition, these second-generation tests provide enhanced estimators in comparison to first-generation methods. To ensure utmost precision and to ensure reliability and validity of the data analysis, the authors have employed process underwent comprehensive testing with both CIPS and CADF. Furthermore, the HASIO test is used to evaluate uniformity in data. The findings of the study reveal that green energy has a significant and complex relationship with the ecological footprint, indicating that investments in green technologies can have immediate beneficial effects on environmental quality, albeit with varying impacts over time. Financial technology emerges as a pivotal factor with both positive and negative shocks displaying a substantial influence on the ecological footprint, suggesting that technological advancements in the financial sector can lead to sustainable economic practices that are crucial for environmental health. The results of the study imply that strategic investments in green energy and innovative financial technologies are essential for achieving the SDGS, particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action). The results of the study further imply that these investments not only reduce the ecological footprint but also promote sustainable economic growth in emerging economies, demonstrating the interconnectedness of economic advancement and environmental stewardship.

Suggested Citation

  • Huo, Songtao & Ni, Likun & Basheer, Muhammad Farhan & Al-Aiban, Khalid M. & Hassan, Saira Ghulam, 2024. "The role of fintech, mineral resource abundance, green energy and financial inclusion on ecological footprint in E7 countries: New insight from panel nonlinear ARDL cointegration approach," Resources Policy, Elsevier, vol. 94(C).
  • Handle: RePEc:eee:jrpoli:v:94:y:2024:i:c:s0301420724004501
    DOI: 10.1016/j.resourpol.2024.105083
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420724004501
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2024.105083?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Fintech; Mineral resource abundance; Green energy and financial inclusion; Ecological footprint; E7; SDG 7; And SDG 13;
    All these keywords.

    JEL classification:

    • E7 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics

    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:eee:jrpoli:v:94:y:2024:i:c:s0301420724004501. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    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.