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Pathways to sustainability: Evaluating the impact of green energy, natural resources, FinTech, and environmental policies in resource-abundant countries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A100197" target="_blank" >RIV/60460709:41110/24:100197 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0301420724006317?pes=vor&utm_source=scopus&getft_integrator=scopus" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0301420724006317?pes=vor&utm_source=scopus&getft_integrator=scopus</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.resourpol.2024.105264" target="_blank" >10.1016/j.resourpol.2024.105264</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pathways to sustainability: Evaluating the impact of green energy, natural resources, FinTech, and environmental policies in resource-abundant countries

  • Original language description

    The escalating concerns about ecological sustainability have made the consumption of resources a crucial global issue. The speedy growth of the economy is heavily reliant on excessive consumption of resources, which significantly contributes to the imbalance between biodiversity and ecological footprint, resulting in a decrease in the carrying capacity. Both researchers and policymakers strive to enhance the amount of financial capital in the present time while ensuring that the country's economic growth remains unaffected. The primary objective of this study is to analyze the impact of green energy, financial technology (FinTech), and environmental regulations on enhancing the environmental sustainability of resource-rich countries from 1992 to 2022. To address problems with cross-sectional dependency and slope heterogeneity, this study employs the CS- ARDL model. The long-term results indicate that the reliance on income from natural resources decreased the load capacity factor. However, the load capacity factor was improved by shifting to green energy, adopting fintech, and implementing environmental regulations. The utilization of the AMG and CCEMG estimate procedures enhances the validity of the research findings. These findings provide essential policy recommendations for all stakeholder involved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    RESOURCES POLICY

  • ISSN

    0301-4207

  • e-ISSN

    0301-4207

  • Volume of the periodical

    97

  • Issue of the periodical within the volume

    105264

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    12

  • Pages from-to

    1-12

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85202343115