IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v228y2024ics0960148124007183.html
   My bibliography  Save this article

Green environments reimagined through the lens of green finance, green innovations, green taxation, and green energies. Wavelet quantile correlation and rolling window-based quantile causality perspective

Author

Listed:
  • Uche, Emmanuel
  • Das, Narasingha
  • Ngepah, Nicholas

Abstract

Unarguably, a compromised environment portends negativities to humankind. Hence, we explored the potential of green finance, green innovations, green taxes, and green energy for green developments in South Africa (SA). Annual time-series data spanning 1996–2022 and cutting-edge estimators exposed the predictive effects of the under-listed variables on green environments. This includes the wavelet quantile correlation, time-varying Granger causality, and rolling window-based non-parametric quantile causality. The novel insights underscore the vital role of green finance in ensuring green growth, irrespective of some notable divergences over time. Likewise, green innovations, green taxes, and green energies produced notable environmental enhancing effects with underlining asymmetric effects across the time and quantiles of the distributions. The outcomes of the recursive evolving window algorithm and the rolling window-based quantile correlation portray that green finance, green innovations, green taxes, and green energies are significant positive enablers of green growth in SA. SA should forestall all the factors leading to the observed divergences as a policy option. This could be achieved through improved green finances and consistent promotion of all relevant green initiatives. These steps will aid the green revolution and enable the emergence of green development in the republic.

Suggested Citation

  • Uche, Emmanuel & Das, Narasingha & Ngepah, Nicholas, 2024. "Green environments reimagined through the lens of green finance, green innovations, green taxation, and green energies. Wavelet quantile correlation and rolling window-based quantile causality perspec," Renewable Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:renene:v:228:y:2024:i:c:s0960148124007183
    DOI: 10.1016/j.renene.2024.120650
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124007183
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120650?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

    Green finance; Green innovations; Green taxes; Green energies; Green revolutions; South Africa;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    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:renene:v:228:y:2024:i:c:s0960148124007183. 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.journals.elsevier.com/renewable-energy .

    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.