IDEAS home Printed from https://ideas.repec.org/a/ahs/journl/v6y2021i2p371-384.html
   My bibliography  Save this article

The Effect of Financial Development, Renewable and Non-Renewable Energy Consumption and International Tourism on Greenhouse Gas Emission in High-Income Countries from Different Continents

Author

Listed:
  • Onur Gözbaşı
  • Buket Altınöz
  • Oğuz Öcal

Abstract

Substantial increases in the use of energy resources pose a serious threat to environmental quality in a globalized world. It is of critical importance for countries with high levels of CO2 emission to achieve their goals of emission reduction. As a matter of fact, greenhouse gases — and CO2 in particular — bring about global warming, climate change and many concomitant adversities. This study tries to explain greenhouse gas emissions with financial development, energy consumption, tourism and trade indicators in high income countries from different continents for the period from 1995 to 2017 by panel quantile approach. Results suggest that financial development, fossil fuel energy consumption, and tourism receipts increase emissions in full sample. Also, tourism is critical in explaining the increase in greenhouse gas emissions of high-income countries in American continent. In Asian continent, financial development positively effects on carbon emissions at 10% and 75% quantile levels but affect negatively at 90% quantile level.

Suggested Citation

  • Onur Gözbaşı & Buket Altınöz & Oğuz Öcal, 2021. "The Effect of Financial Development, Renewable and Non-Renewable Energy Consumption and International Tourism on Greenhouse Gas Emission in High-Income Countries from Different Continents," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 6(2), pages 371-384.
  • Handle: RePEc:ahs:journl:v:6:y:2021:i:2:p:371-384
    DOI: 10.30784/epfad.959039
    as

    Download full text from publisher

    File URL: https://dergipark.org.tr/tr/download/article-file/1848589
    Download Restriction: no

    File URL: https://libkey.io/10.30784/epfad.959039?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
    ---><---

    References listed on IDEAS

    as
    1. Yildirim, Ertugrul & Aslan, Alper, 2012. "Energy consumption and economic growth nexus for 17 highly developed OECD countries: Further evidence based on bootstrap-corrected causality tests," Energy Policy, Elsevier, vol. 51(C), pages 985-993.
    2. Farzana Sharmin & Mohammed Robayet Khan & Mohammed Robayet Khan, 2016. "A Causal Relationship between Energy Consumption, Energy Prices and Economic Growth in Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 477-494.
    3. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    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. Gozgor, Giray & Lau, Chi Keung Marco & Lu, Zhou, 2018. "Energy consumption and economic growth: New evidence from the OECD countries," Energy, Elsevier, vol. 153(C), pages 27-34.
    2. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Lu, Yao & Zhan, Shuwei & Zhan, Minghua, 2024. "Has FinTech changed the sensitivity of corporate investment to interest rates?—Evidence from China," Research in International Business and Finance, Elsevier, vol. 68(C).
    4. Savranlar, Buket & Atay Polat, Melike & Aslan, Alper, 2023. "What are the mistakes we think are correct about the ‘Natural resource curse’ hypothesis? New insights from quantile regressions via method of moments for EU," Resources Policy, Elsevier, vol. 85(PA).
    5. Hyunkeun Ryan Cho, 2018. "Statistical inference in a growth curve quantile regression model for longitudinal data," Biometrics, The International Biometric Society, vol. 74(3), pages 855-862, September.
    6. Haddou, Samira, 2024. "Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    7. Rieger, Matthias, 2015. "Risk aversion, time preference and health production: Theory and empirical evidence from Cambodia," Economics & Human Biology, Elsevier, vol. 17(C), pages 1-15.
    8. Iván Fernández-Val & Martin Weidner, 2018. "Fixed Effects Estimation of Large-TPanel Data Models," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 109-138, August.
    9. Hameed, Shahzad & Wei, Wei & Farrukh, Umer & Mushtaq, Khali, 2019. "Switching to Hydropower renewable energy to mitigate the effects of the carbon emissions in South and East Asian economies," MPRA Paper 90435, University Library of Munich, Germany.
    10. Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
    11. Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Financial Stability Review, Banco de España, issue Autumn.
    12. Dimelis, Sophia & Giotopoulos, Ioannis & Louri, Helen, 2015. "Can firms grow without credit?: evidence from the Euro Area, 2005-2011: a quantile panel analysis," LSE Research Online Documents on Economics 61157, London School of Economics and Political Science, LSE Library.
    13. Erida Curraj, 2019. "Vintage Design Furniture in Albania, a New Retro Design Paradigm in the Post-Communist Era," European Journal of Engineering and Formal Sciences Articles, Revistia Research and Publishing, vol. 2, ejef_19.
    14. Zhao, Congyu & Wang, Jianda & Dong, Kangyin & Wang, Kun, 2023. "How does renewable energy encourage carbon unlocking? A global case for decarbonization," Resources Policy, Elsevier, vol. 83(C).
    15. Inanoglu, Hulusi & Jacobs, Michael, Jr. & Liu, Junrong & Sickles, Robin, 2015. "Analyzing Bank Efficiency: Are "Too-Big-to-Fail" Banks Efficient?," Working Papers 15-016, Rice University, Department of Economics.
    16. Ibrahim Mohamed Ali Ali & Imed Attiaoui & Rabeh Khalfaoui & Aviral Kumar Tiwari, 2022. "The Effect of Urbanization and Industrialization on Income Inequality: An Analysis Based on the Method of Moments Quantile Regression," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(1), pages 29-50, May.
    17. Hemant Kulkarni & Jayabrata Biswas & Kiranmoy Das, 2019. "A joint quantile regression model for multiple longitudinal outcomes," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(4), pages 453-473, December.
    18. Lin, Hsin-Yi & Chu, Hao-Pang, 2013. "Are fiscal deficits inflationary?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 214-233.
    19. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
    20. Łukasz Jarosław Kozar & Robert Matusiak & Marta Paduszyńska & Adam Sulich, 2022. "Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.

    More about this item

    Keywords

    Emissions; Financial development; Trade; Tourism; Panel Data;
    All these keywords.

    JEL classification:

    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • P43 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Finance; Public Finance
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development

    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:ahs:journl:v:6:y:2021:i:2:p:371-384. 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: Ersan Ersoy (email available below). General contact details of provider: https://epfjournal.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.