IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpol/v2023y2023i6id1405p730-757.html
   My bibliography  Save this article

Combining Economic Growth and Financial Development in Environment-Health Nexus

Author

Listed:
  • Han Dongping
  • Mansoor Ahmed Golo
  • Qamaruddin Mahar
  • Syed Safdar Ali Shah
  • Maysa Kadyrova

Abstract

This study examines the impact of monetary developments on environmental quality and economic growth. We utilize ARDL/PMG models to study twelve climatically vulnerable countries from 1996 to 2018. We find that a 1% increase in real GDP and domestic credit harms the environment by 0.827% and 0.220%, respectively. However, savings improve environmental excellence by 0.373%. A 1% environmental degradation decreases human health by 0.317%; consequently, economic growth declines by 1.102%. Good governance emerges as a key solution, with a 1% improvement in public institutions mitigating the adverse impact of real GDP on the environment by 0.777%. Redirecting 1% of loans to eco-friendly projects improves the environment by 1.311%. Dumitrescu-Hurlin and PVAR Granger tests support these findings.

Suggested Citation

  • Han Dongping & Mansoor Ahmed Golo & Qamaruddin Mahar & Syed Safdar Ali Shah & Maysa Kadyrova, 2023. "Combining Economic Growth and Financial Development in Environment-Health Nexus," Politická ekonomie, Prague University of Economics and Business, vol. 2023(6), pages 730-757.
  • Handle: RePEc:prg:jnlpol:v:2023:y:2023:i:6:id:1405:p:730-757
    DOI: 10.18267/j.polek.1405
    as

    Download full text from publisher

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1405.html
    Download Restriction: free of charge

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1405.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.polek.1405?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.

    References listed on IDEAS

    as
    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Aqsa Mehmood & Hafiz Muhammad Abubakar Siddique & Amjad Ali, 2022. "Impact Of Health On Worker Productivity: Evidence From South Asia," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 11(2), pages 1-8, June.
    3. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Han Dongping & Mansoor Ahmed Golo & Qamaruddin Mahar & Syed Safdar Ali Shah & Maysa Kadyrova, . "Combining Economic Growth and Financial Development in Environment-Health Nexus," Politická ekonomie, Prague University of Economics and Business, vol. 0.
    2. Iheonu O Chimere & Tochukwu Nwachukwu, 2020. "Macroeconomic determinants of household consumption in selected West African countries," Economics Bulletin, AccessEcon, vol. 40(2), pages 1596-1606.
    3. Nicholas M. Odhiambo & Talknice Saungweme, "undated". "Does International Tourism Spur International Trade In Ssa Countries? A Dynamic Panel Data Analysis," Working Papers AESRI07, African Economic and Social Research Institute (AESRI).
    4. repec:zbw:rwirep:0557 is not listed on IDEAS
    5. Lin, Boqiang & Okoye, Jude O., 2023. "Towards renewable energy generation and low greenhouse gas emission in high-income countries: Performance of financial development and governance," Renewable Energy, Elsevier, vol. 215(C).
    6. Dongwon Lee & Yu-chin Chen, 2014. "What Makes a Commodity Currency?," Working Papers 201420, University of California at Riverside, Department of Economics.
    7. Tajul Masron & Mduduzi Biyase & Talent Zwane & Thomas Udimal & Frederich Kirsten, 2023. "Ecological footprint and population health outcomes: an analysis of E7 countries," Economics Working Papers edwrg-07-2023, College of Business and Economics, University of Johannesburg, South Africa, revised 2023.
    8. Hosan, Shahadat & Rahman, Md Matiar & Karmaker, Shamal Chandra & Saha, Bidyut Baran, 2023. "Energy subsidies and energy technology innovation: Policies for polygeneration systems diffusion," Energy, Elsevier, vol. 267(C).
    9. Liddle, Brantley, 2013. "Population, Affluence, and Environmental Impact Across Development: Evidence from Panel Cointegration Modeling," MPRA Paper 52088, University Library of Munich, Germany.
    10. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    11. Antonio Afonso & Hüseyin Sen & Ayse Kaya, 2021. "Government Size, Unemployment and Inflation Nexus in Eight Large Emerging Market Economies," Hacienda Pública Española / Review of Public Economics, IEF, vol. 235(1), pages 133-170, March.
    12. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing credit gaps in CESEE based on levels justified by fundamentals – a comparison across different estimation approaches," Bank of Lithuania Working Paper Series 74, Bank of Lithuania.
    13. Mathilde Aubry & Jean Bonnet & Patricia Renou-Maissant, 2015. "Entrepreneurship and the business cycle: the “Schumpeter” effect versus the “refugee” effect—a French appraisal based on regional data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(1), pages 23-55, January.
    14. Shahbaz, Muhammad & Nasreen, Samia & Ahmed, Khalid & Hammoudeh, Shawkat, 2017. "Trade openness–carbon emissions nexus: The importance of turning points of trade openness for country panels," Energy Economics, Elsevier, vol. 61(C), pages 221-232.
    15. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.
    16. Fromentin, Vincent & Leon, Florian, 2019. "Remittances and credit in developed and developing countries: A dynamic panel analysis," Research in International Business and Finance, Elsevier, vol. 48(C), pages 310-320.
    17. Mitch Kunce, 2022. "The Tenuous Ecological Divorce and Unemployment Link with Suicide: A U.S. Panel Analysis 1968-2020," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(3), pages 1-2.
    18. Karmaker, Shamal Chandra & Hosan, Shahadat & Chapman, Andrew J. & Saha, Bidyut Baran, 2021. "The role of environmental taxes on technological innovation," Energy, Elsevier, vol. 232(C).
    19. Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Inclusive Economic Growth: Relationship between Energy and Governance Efficiency," Energies, MDPI, vol. 16(6), pages 1-16, March.
    20. Murshed, Muntasir & Saboori, Behnaz & Madaleno, Mara & Wang, Hong & Doğan, Buhari, 2022. "Exploring the nexuses between nuclear energy, renewable energy, and carbon dioxide emissions: The role of economic complexity in the G7 countries," Renewable Energy, Elsevier, vol. 190(C), pages 664-674.
    21. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.

    More about this item

    Keywords

    Environmental degradation index; human health index; PCA technique; panel ARDL method; good governance; high-risk countries;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

    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:prg:jnlpol:v:2023:y:2023:i:6:id:1405:p:730-757. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.html .

    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.