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dc.contributor.authorBölükbaş, Mehmet
dc.contributor.authorSzymańska, Agata
dc.date.accessioned2025-07-08T07:51:50Z
dc.date.available2025-07-08T07:51:50Z
dc.date.issued2025-06-26
dc.identifier.issn1508-2008
dc.identifier.urihttp://hdl.handle.net/11089/55856
dc.description.abstractGreenhouse gas emissions, primarily carbon dioxide (CO2), influence climate change and have a significant impact on public health. The relationship is a subject of interest to many researchers. However, the situation of Central and Eastern European (CEE) countries is not sufficiently explored in this context. Thus, this study examines the linkages between CO2 emissions and health expenditures in 11 CEE countries. The empirical findings obtained using Kónya’s bootstrap panel Granger causality test show that CO2 emissions and health expenditures are related in most CEE countries. Notably, a bidirectional relationship in the bootstrap panel Granger causality test is found for Croatia, Romania, and Slovakia. In contrast, the relationship was revealed to be insignificant in Bulgaria, Lithuania, Poland, and Slovenia. The results are significant and contribute to the existing literature. The findings allow us to issue policy recommendations to intensify efforts to control pollution, particularly CO2 emissions, especially in Croatia, Romania, and Slovakia, as well as in the countries where at least unidirectional effects from CO2 emissions to health expenditures were observed (e.g., Estonia, Hungary, and Latvia).en
dc.description.abstractEmisje gazów cieplarnianych (głównie dwutlenku węgla – CO2) wpływają na zmiany klimatyczne, co oddziałuje na zdrowie publiczne. Celem artykułu jest zbadanie powiązań między emisją CO2 a wydatkami na zdrowie w 11 krajach Europy Środkowo-Wschodniej (CEE) z wykorzystaniem wariantu testu przyczynowości Grangera, opracowanego przez Kónya. Próba czasowa obejmuje dane roczne od 2000 do 2020 roku. Badania empiryczne dostarczają zróżnicowanych wyników. Dwukierunkową zależność stwierdzono w przypadku Chorwacji, Rumunii i Słowacji, podczas gdy na przykład w Bułgarii, na Litwie, w Polsce i Słowenii powiązanie było nieistotne. Zalecenia polityczne obejmują podjęcie wysiłków w zakresie kontroli zanieczyszczeń, w szczególności emisji CO2 w Chorwacji, Rumunii, Słowacji, jak również w Estonii, na Węgrzech i Łotwie, a więc w krajach, gdzie oszacowano przynajmniej jednokierunkowy wpływ emisji CO2 na wydatki na zdrowie.pl
dc.language.isoen
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.relation.ispartofseriesComparative Economic Research. Central and Eastern Europe;2en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectcausalityen
dc.subjectCO2 emissionsen
dc.subjecthealth expenditureen
dc.subjectCentral and Eastern European countriesen
dc.subjectquality of lifeen
dc.subjectprzyczynowośćpl
dc.subjectemisja CO2pl
dc.subjectwydatki na zdrowiepl
dc.subjectkraje Europy Środkowo-Wschodniejpl
dc.subjectjakość życiapl
dc.titleThe Nexus between CO2 Emissions and Health Expenditure – Causality Evidence from Selected CEE Countriesen
dc.title.alternativeZwiązek między emisją CO2 a wydatkami na zdrowie – analiza krajów Europy Środkowo-Wschodniejpl
dc.typeArticle
dc.page.number97-113
dc.contributor.authorAffiliationBölükbaş, Mehmet - Aydın Adnan Menderes University, Faculty of Political Science, Department of Economicsen
dc.contributor.authorAffiliationSzymańska, Agata - University of Lodz, Institute of Economicsen
dc.identifier.eissn2082-6737
dc.referencesAhmad, M., Ur Rahman, Z., Hong, L., Khan, S., Khan, Z., Naeem Khan, M. (2018), Impact of Environmental Quality Variables and Socio Economic Factors on Human Health: Empirical Evidence from China, “Pollution”, 4 (4), pp. 571–579, https://doi.org/10.22059/poll.2018.252214.391en
dc.referencesAkbar, M., Hussain, A., Akbar, A., Ullah, I. (2021), The dynamic association between healthcare spending, CO2 emissions, and human development index in OECD countries: Evidence from panel VAR model, “Environment, Development and Sustainability”, 23, pp. 10470-10489, https://doi.org/10.1007/s10668-020-01066-5en
dc.referencesAlimi, O.Y., Ajide, K.B., Isola, W.A. (2020), Environmental quality and health expenditure in ECOWAS, “Environment, Development and Sustainability”, 22 (6), pp. 5105–5127, https://doi.org/10.1007/s10668-019-00416-2en
dc.referencesApergis, N., Bhattacharya, M., Hadhri, W. (2020), Health care expenditure and environmental pollution: A cross-country comparison across different income groups, “Environmental Science and Pollution Research”, 27 (8), pp. 8142–8156, https://doi.org/10.1007/s11356-019-07457-0en
dc.referencesBilgili, F., Kuşkaya, S., Khan, M., Awan, A., Türker, O. (2021), The roles of economic growth and health expenditure on CO2 emissions in selected Asian countries: A quantile regression model approach, “Environmental Science and Pollution Research”, 28, pp. 44949–44972, https://doi.org/10.1007/s11356-021-13639-6en
dc.referencesBreusch, T.S., Pagan, A.R. (1980), The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics, “The Review of Economic Studies”, 47 (1), pp. 239–253, https://doi.org/10.2307/2297111en
dc.referencesChaabouni, S., Saidi, K. (2017), The dynamic links between carbon dioxide (CO2) emissions, health spending and GDP growth: A case study for 51 countries, “Environmental Research”, 158, pp. 137–144, https://doi.org/10.1016/j.envres.2017.05.041en
dc.referencesDritsaki, M., Dritsaki, C. (2023), The Relationship Between Health Expenditure, CO2 Emissions, and Economic Growth in G7: Evidence from Heterogeneous Panel Data, “Journal of the Knowledge Economy”, 15, pp. 1–26, https://doi.org/10.1007/s13132-023-01349-yen
dc.referencesEcevit, E., Cetin, M., Kocak, E., Dogan, R., Yildiz, O. (2023), Greenhouse gas emissions, economic globalization, and health expenditures nexus: does population aging matter in emerging market economies?, “Environmental Science and Pollution Research”, 30 (11), pp. 29961–29975, https://doi.org/10.1007/s11356-022-24274-0en
dc.referencesErdogan, S., Kirca, M., Gedikli, A. (2020), Is There a Relationship between CO2 Emissions and Health Expenditures? Evidence from BRICS-T Countries, “Business and Economics Research Journal”, 11 (2), pp. 293–305, https://doi.org/10.20409/berj.2019.231en
dc.referencesGanda, F. (2021), The impact of health expenditure on environmental quality: the case of BRICS, “Development Studies Research”, 8 (1), pp. 199–217, https://doi.org/10.1080/21665095.2021.1955720en
dc.referencesJakovljevic, M.B., Vukovic, M., Fontanesi, J. (2016), Life expectancy and health expenditure evolution in Eastern Europe – DiD and DEA analysis, “Expert Review of Pharmacoeconomics & Outcomes Research”, 16 (4), pp. 537–546, https://doi.org/10.1586/14737167.2016.1125293en
dc.referencesKar, M., Nazlıoğlu, S., Ağır, H. (2011), Financial development and economic growth nexus in the MENA countries: Bootstrap panel granger causality analysis, “Economic Modelling”, 28 (1–2), pp. 685–693, https://doi.org/10.1016/j.econmod.2010.05.015en
dc.referencesKhoshnevis Yazdi, S., Khanalizadeh, B. (2017), Air pollution, economic growth and health care expenditure, “Economic Research-Ekonomska Istraživanja”, 30 (1), pp. 1181–1190, https://doi.org/10.1080/1331677X.2017.1314823en
dc.referencesKónya, L. (2006), Exports and growth: Granger causality analysis on OECD countries with a panel data approach, “Economic Modelling”, 23 (6), pp. 978–992, https://doi.org/10.1016/j.econmod.2006.04.008en
dc.referencesLi, F., Chang, T., Wang, M.C., Zhou, J. (2022), The relationship between health expenditure, CO2 emissions, and economic growth in the BRICS countries – based on the Fourier ARDL model, “Environmental Science and Pollution Research”, 29, pp. 1–20, https://doi.org/10.1007/s11356-021-17900-wen
dc.referencesMujtaba, G., Shahzad, S.J.H. (2021), Air pollutants, economic growth and public health: implications for sustainable development in OECD countries, “Environmental Science and Pollution Research”, 28, pp. 12686–12698, https://doi.org/10.1007/s11356-020-11212-1en
dc.referencesNica, E., Poliakova, A., Popescu, G.H., Valaskova, K., Burcea, S.G., Constantin, A.L.D. (2023), The impact of financial development, health expenditure, CO2 emissions, institutional quality, and energy mix on life expectancy in Eastern Europe: CS-ARDL and quantile regression Approaches, “Heliyon”, 9 (11), e21084, https://doi.org/10.1016/j.heliyon.2023.e21084en
dc.referencesPesaran, M.H. (2004), General Diagnostic Tests for Cross Section Dependence in Panels, “University of Cambridge Working Papers in Economics”, 0435, https://doi.org/10.2139/ssrn.572504en
dc.referencesPesaran, M.H., Yamagata, T. (2008), Testing slope homogeneity in large panels, “Journal of Econometrics”, 142 (1), pp. 50–93, https://doi.org/10.1016/j.jeconom.2007.05.010en
dc.referencesPesaran, M.H., Ullah, A., Yamagata, T. (2008), A bias-adjusted LM test of error cross-section independence, “Econometrics Journal”, 11 (1), pp. 105–127, https://doi.org/10.1111/j.1368-423X.2007.00227.xen
dc.referencesSaleem, H., Khan, M.B., Shabbir, M.S., Khan, G.Y., Usman, M. (2022), Nexus between non-renewable energy production, CO2 emissions, and healthcare spending in OECD economies, “Environmental Science and Pollution Research”, 29 (31), pp. 47286–47297, https://doi.org/10.1007/s11356-021-18131-9en
dc.referencesSwamy, P.A. (1970), Efficient Inference in a Random Coefficient Regression Model, “Econometrica”, 38 (2), pp. 311–323, https://doi.org/10.2307/1913012en
dc.referencesUllah, I., Ali, S., Shah, M.H., Yasim, F., Rehman, A., Al-Ghazali, B.M. (2019), Linkages between Trade, CO2 Emissions and Healthcare Spending in China, “International Journal Environmental Research and Public Health”, 16 (21), 4298, https://doi.org/10.3390/ijerph16214298en
dc.referencesVyas, V., Mehta, K., Sharma, R. (2023), The nexus between toxic-air pollution, health expenditure, and economic growth: An empirical study using ARDL, “International Review of Economics & Finance”, 84 (C), pp. 154–166, https://doi.org/10.1016/j.iref.2022.11.017en
dc.referencesWang, B., Wang, X., Guo, D., Zhang, B., Wang, Z. (2018), Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism?, “Energy Policy”, 116, pp. 68–77, https://doi.org/10.1016/j.enpol.2018.01.055en
dc.referencesWang, C.M., Hsueh, H.P., Li, F., Wu, C.F. (2019a), Bootstrap ARDL on Health Expenditure, CO2 Emissions, and GDP Growth Relationship for 18 OECD Countries, “Frontiers in Public Health”, 7, 324, https://doi.org/10.3389/fpubh.2019.00324en
dc.referencesWang, Z., Asghar, M.M., Zaidi, S.A.H., Wang, B. (2019b), Dynamic linkages among CO2 emissions, health expenditures, and economic growth: Empirical evidence from Pakistan, “Environmental Science and Pollution Research”, 26, pp. 15285–15299, https://doi.org/10.1007/s11356-019-04876-xen
dc.referencesWorld Bank (n.d.), World Development Indicators, https://datatopics.worldbank.org/world-development-indicators/ (accessed: 26.04.2024).en
dc.referencesYahaya, A., Nor, N.M., Habibullah, M.S., Ghani, J.A., Noor, Z.M. (2016), How relevant is environmental quality to per capita health expenditures? Empirical evidence from panel of developing countries, “SpringerPlus”, 5, 925, https://doi.org/10.1186/s40064-016-2505-xen
dc.referencesZaidi, S., Saidi, K. (2018), Environmental pollution, health expenditure and economic growth in the Sub-Saharan Africa countries: Panel ARDL approach, “Sustainable Cities and Society”, 41, pp. 833–840, https://doi.org/10.1016/j.scs.2018.04.034en
dc.referencesZellner, A. (1962), An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias, “Journal of The American Statistical Association”, 57 (298), pp. 348–368, https://doi.org/10.1080/01621459.1962.10480664en
dc.contributor.authorEmailBölükbaş, Mehmet - mbolukbas@adu.edu.tr
dc.contributor.authorEmailSzymańska, Agata - agata.szymanska@uni.lodz.pl
dc.identifier.doi10.18778/1508-2008.28.15
dc.relation.volume28


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