IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i12p6548-d577001.html
   My bibliography  Save this article

Relationships between Renewable Energy and the Prevalence of Morbidity in the Countries of the European Union: A Panel Regression Approach

Author

Listed:
  • Robert Stefko

    (Faculty of Management, University of Prešov in Prešov, Konštantínova 16, 080 01 Prešov, Slovakia)

  • Beata Gavurova

    (Center for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlín, Mostní 5139, 760 00 Zlín, Czech Republic)

  • Miroslav Kelemen

    (Faculty of Aeronautics, Technical University of Kosice, 041 21 Kosice, Slovakia)

  • Martin Rigelsky

    (Faculty of Management, University of Prešov in Prešov, Konštantínova 16, 080 01 Prešov, Slovakia)

  • Viera Ivankova

    (Faculty of Management, University of Prešov in Prešov, Konštantínova 16, 080 01 Prešov, Slovakia)

Abstract

The main objective of the presented study was to examine the associations between the use of renewable energy sources in selected sectors (transport, electricity, heating, and cooling) and the prevalence of selected groups of diseases in the European Union, with an emphasis on the application of statistical methods considering the structure of data. The analyses included data on 27 countries of the European Union from 2010 to 2019 published in the Eurostat database and the Global Burden of Disease Study. Panel regression models (pooling model, fixed (within) effects model, random effects model) were primarily used in analytical procedures, in which a panel variable was represented by countries. In most cases, positive and significant associations between the use of renewable energy sources and the prevalence of diseases were confirmed. The results of panel regression models could be generally interpreted as meaning that renewable energy sources are associated with the prevalence of diseases such as cardiovascular diseases, diabetes and kidney diseases, digestive diseases, musculoskeletal disorders, neoplasms, sense organ diseases, and skin and subcutaneous diseases at a significance level (α) of 0.05 and lower. These findings could be explained by the awareness of the health problem and the response in the form of preference for renewable energy sources. Regarding statistical methods used for country data or for data with a specific structure, it is recommended to use the methods that take this structure into account. The absence of these methods could lead to misleading conclusions.

Suggested Citation

  • Robert Stefko & Beata Gavurova & Miroslav Kelemen & Martin Rigelsky & Viera Ivankova, 2021. "Relationships between Renewable Energy and the Prevalence of Morbidity in the Countries of the European Union: A Panel Regression Approach," IJERPH, MDPI, vol. 18(12), pages 1-18, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:12:p:6548-:d:577001
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/12/6548/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/12/6548/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Farhad Taghizadeh-Hesary & Ehsan Rasoulinezhad & Naoyuki Yoshino & Youngho Chang & Farzad Taghizadeh-Hesary & Peter J. Morgan, 2021. "The Energy–Pollution–Health Nexus: A Panel Data Analysis Of Low- And Middle-Income Asian Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 66(02), pages 435-455, March.
    2. José Carlos Araújo Amarante & Cássio da Nóbrega Besarria & Helson Gomes de Souza & Otoniel Rodrigues dos Anjos Junior, 2021. "The relationship between economic growth, renewable and nonrenewable energy use and CO2 emissions: empirical evidences for Brazil," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(3), pages 411-431, June.
    3. Apergis, Nicholas & Ben Jebli, Mehdi & Ben Youssef, Slim, 2018. "Does renewable energy consumption and health expenditures decrease carbon dioxide emissions? Evidence for sub-Saharan Africa countries," Renewable Energy, Elsevier, vol. 127(C), pages 1011-1016.
    4. Emerson Augusto Baptista & Kaoru Kakinuma & Bernardo Lanza Queiroz, 2020. "Association between Cardiovascular Mortality and Economic Development: A Spatio-Temporal Study for Prefectures in Japan," IJERPH, MDPI, vol. 17(4), pages 1-16, February.
    5. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2013. "A Generalized Spatial Panel Data Model with Random Effects," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 650-685, August.
    6. Shazia Kousar & Farhan Ahmed & María de las Nieves López García & Nimra Ashraf, 2020. "Renewable Energy Consumption, Water Crises, and Environmental Degradation with Moderating Role of Governance: Dynamic Panel Analysis under Cross-Sectional Dependence," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    7. Angrist, Joshua D & Newey, Whitney K, 1991. "Over-Identification Tests in Earnings Functions with Fixed Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 317-323, July.
    8. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    9. Alessandro Danovi & Stefano Olgiati & Alessandro D’Amico, 2021. "Living Longer with Disability: Economic Implications for Healthcare Sustainability," Sustainability, MDPI, vol. 13(8), pages 1-8, April.
    10. Mihaela Simionescu & Svitlana Bilan & Beata Gavurova & Elena-Nicoleta Bordea, 2019. "Health Policies in Romania to Reduce the Mortality Caused by Cardiovascular Diseases," IJERPH, MDPI, vol. 16(17), pages 1-9, August.
    11. Syed Abdul Rehman Khan & Danish Iqbal Godil & Muhammad Umer Quddoos & Zhang Yu & Muhammad Hanif Akhtar & Zijing Liang, 2021. "Investigating the nexus between energy, economic growth, and environmental quality: A road map for the sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(5), pages 835-846, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jana Chovancová & Lenka Štofejová & Štefan Gavura & Roman Novotný & Martin Rigelský, 2024. "Assessing energy consumption and greenhouse gas emissions in EU member states – decomposition analysis," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(4), pages 242-259, June.
    2. Jacek Brożyna & Wadim Strielkowski & Aleš Zpěvák, 2023. "Evaluating the Chances of Implementing the “Fit for 55” Green Transition Package in the V4 Countries," Energies, MDPI, vol. 16(6), pages 1-17, March.

    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. Mehzabin Tuli, Farzana & Mitra, Suman & Crews, Mariah B., 2021. "Factors influencing the usage of shared E-scooters in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 164-185.
    2. Hideki Murakami & Yukari Matsuse & Koji Mukaigawa & Yushi Tsunoda, 2013. "Product lifecycle and choice of transportation modes: Japan' s evidence of import and export," Discussion Papers 2013-28, Kobe University, Graduate School of Business Administration.
    3. repec:rri:wpaper:201303 is not listed on IDEAS
    4. Michele Fratianni & Francesco Marchionne, 2011. "The Limits to Integration," Chapters, in: Miroslav N. Jovanović (ed.), International Handbook on the Economics of Integration, Volume I, chapter 9, Edward Elgar Publishing.
    5. Shirzad, Mohammad & Kazemi Shariat Panahi, Hamed & Dashti, Behrouz B. & Rajaeifar, Mohammad Ali & Aghbashlo, Mortaza & Tabatabaei, Meisam, 2019. "A comprehensive review on electricity generation and GHG emission reduction potentials through anaerobic digestion of agricultural and livestock/slaughterhouse wastes in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 571-594.
    6. Tadashi Kikuchi, 2014. "Vietnamese Inter – regional labor migration: system approach to the modeling 1989, 1999, 2009," EcoMod2014 6998, EcoMod.
    7. Jean-Paul Azam & Catherine Bonjean, 1995. "La formation du prix du riz : théorie et application au cas d'Antananarivo (Madagascar) ," Revue Économique, Programme National Persée, vol. 46(4), pages 1145-1166.
    8. Nathaniel Geiger & Bryan McLaughlin & John Velez, 2021. "Not all boomers: temporal orientation explains inter- and intra-cultural variability in the link between age and climate engagement," Climatic Change, Springer, vol. 166(1), pages 1-20, May.
    9. Vittorio Nicolardi, 2009. "The effects of the new 1995 ESA methodologies of estimation on the structural analysis of Italian consumption," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 125-149, March.
    10. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    11. Raffaella Santolini, 2017. "Electoral Rules And Public Spending Composition: The Case Of Italian Regions," Contemporary Economic Policy, Western Economic Association International, vol. 35(3), pages 551-577, July.
    12. Desbordes, Rodolphe, 2007. "The sensitivity of U.S. multinational enterprises to political and macroeconomic uncertainty: A sectoral analysis," International Business Review, Elsevier, vol. 16(6), pages 732-750, December.
    13. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2007. "A Monte Carlo Study for Pure and Pretest Estimators of a Panel Data Model with Spatially Autocorrelated Disturbances," Annals of Economics and Statistics, GENES, issue 87-88, pages 11-38.
    14. Zsuzsa Lábiscsák-Erdélyi & Ilona Veres-Balajti & Annamária Somhegyi & Karolina Kósa, 2022. "Self-Esteem Is Independent Factor and Moderator of School-Related Psychosocial Determinants of Life Satisfaction in Adolescents," IJERPH, MDPI, vol. 19(9), pages 1-14, May.
    15. Stern, David I. & Gerlagh, Reyer & Burke, Paul J., 2017. "Modeling the emissions–income relationship using long-run growth rates," Environment and Development Economics, Cambridge University Press, vol. 22(6), pages 699-724, December.
    16. Grzegorz Rybak & Edward Kozłowski & Krzysztof Król & Tomasz Rymarczyk & Agnieszka Sulimierska & Artur Dmowski & Piotr Bednarczuk, 2023. "Algorithms for Optimizing Energy Consumption for Fermentation Processes in Biogas Production," Energies, MDPI, vol. 16(24), pages 1-17, December.
    17. Garcia-Hiernaux, Alfredo & Gonzalez-Perez, Maria T. & Guerrero, David E., 2023. "Eurozone prices: A tale of convergence and divergence," Economic Modelling, Elsevier, vol. 126(C).
    18. Timothy Tyler Brown & Vishnu Murthy, 2020. "Do public health activities pay for themselves? The effect of county‐level public health expenditures on county‐level public assistance medical care benefits in California," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1220-1230, October.
    19. Tsimpanos, Apostolos & Tsimbos, Cleon & Kalogirou, Stamatis, 2018. "Assessing spatial variation and heterogeneity of fertility in Greece at local authority level," MPRA Paper 100406, University Library of Munich, Germany.
    20. Westley, Glenn D. & Shaffer, Sherrill, 1999. "Credit union policies and performance in Latin America," Journal of Banking & Finance, Elsevier, vol. 23(9), pages 1303-1329, September.
    21. Xu, Bin & Lin, Boqiang, 2018. "Do we really understand the development of China's new energy industry?," Energy Economics, Elsevier, vol. 74(C), pages 733-745.

    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:gam:jijerp:v:18:y:2021:i:12:p:6548-:d:577001. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.