Abstract
The Mediterranean region is highly vulnerable to undesired consequences of global warming triggered by industrialization, urbanization, and mostly fossil energy consumption. However, the region has also great renewable energy generation potential such as solar and wind, which enables countries in the region to considerably mitigate CO2 emissions, the main driver of global warming. Developing countries around the world have less impact on carbon emissions than the developed Global North. Therefore, developing countries in the Mediterranean region are affected by the carbon burden of the first industrialized and developed European countries. This study investigates the role of economic growth, fossil and renewable energy consumption, and urbanization of developing Mediterranean countries in CO2 emissions by using annual data covering 1995–2016 period. To this end, it follows a STIRPAT model including gross domestic product per capita, urbanization, and renewable and non-renewable energy consumption. Considering cross correlation among countries, panel data methodologies are employed to estimate how carbon emissions respond to increase in gross domestic product, urbanization, and disaggregated energy consumption. Empirical results reveal that gross domestic product and fossil energy increase CO2 emissions; urbanization and renewable energy decrease CO2 emissions.
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Acemoglu D, Aghion P, Bursztyn L, Hemous D (2012) The environment and directed technical change. Am Econ Rev 102(1):131–166
Aghion P, Hepburn C, Teytelboym A, Zenghelis D (2019) Path dependence, innovation and the economics of climate change. In: Fouquet R (ed) Handbook on green growth (pp. 67–83). Edward Elgar Publishing. https://doi.org/10.4337/9781788110686.00011
Ahmad M, Jiang P, Murshed M, Shehzad K, Akram R, Cui L, Khan Z (2021a) Modelling the dynamic linkages between eco-innovation, urbanization, economic growth and ecological footprints for G7 countries: does financial globalization matter? Sustain Cities Soc 70:102881. https://doi.org/10.1016/j.scs.2021.102881
Ahmad M, Muslija A, Satrovic E (2021b) Does economic prosperity lead to environmental sustainability in developing economies? Environmental Kuznets curve theory. Environ Sci Pollut Res 28(18):22588–22601. https://doi.org/10.1007/s11356-020-12276-9
Anwar A, Younis M, Ullah I (2020) Impact of urbanization and economic growth on CO2 emission: a case of far east Asian countries. Int J Environ Res Public Health 17(7). https://doi.org/10.3390/ijerph17072531
Balsalobre-Lorente D, Leitão NC, Bekun FV (2021) Fresh validation of the low carbon development hypothesis under the EKC Scheme in Portugal, Italy, Greece and Spain. Energies 14(1):250. https://doi.org/10.3390/en14010250
Baltagi BH, Kao C (2000) Nonstationary panels, cointegration in panels and dynamic panels: a survey (No. 16; Center for Policy Research Working Paper). https://surface.syr.edu/cgi/viewcontent.cgi?article=1135&context=cpr
Baltagi BH, Kao C, Peng B (2016) Testing cross-sectional correlation in large panel data models with serial correlation. Econometrics 4(4):44. https://doi.org/10.3390/econometrics4040044
Bogdanov D, Gulagi A, Fasihi M, Breyer C (2021) Full energy sector transition towards 100% renewable energy supply: integrating power, heat, transport and industry sectors including desalination. Appl Energy 283:116273. https://doi.org/10.1016/j.apenergy.2020.116273
Brahmasrene T, Lee JW (2017) Assessing the dynamic impact of tourism, industrialization, urbanization, and globalization on growth and environment in Southeast Asia. Int J Sust Dev World 24(4):362–371. https://doi.org/10.1080/13504509.2016.1238021
Breusch TS, Pagan AR (1980) The Lagrange multiplier test and its applications to model specification in econometrics. Rev Econ Stud 47(1):239. https://doi.org/10.2307/2297111
Chen S, Jin H, Lu Y (2019) Impact of urbanization on CO2 emissions and energy consumption structure: a panel data analysis for Chinese prefecture-level cities. Struct Chang Econ Dyn 49:107–119. https://doi.org/10.1016/j.strueco.2018.08.009
Ciriminna R, Albanese L, Pecoraino M, Meneguzzo F, Pagliaro M (2019) Solar energy and new energy technologies for Mediterranean countries. Global Chall 3(10):1900016. https://doi.org/10.1002/gch2.201900016
Cook BI, Anchukaitis KJ, Touchan R, Meko DM, Cook ER (2016) Spatiotemporal drought variability in the Mediterranean over the last 900 years. J Geophys Res-Atmos 121(5):2060–2074. https://doi.org/10.1002/2015JD023929
Danish, Ulucak R (2020) The pathway toward pollution mitigation: does institutional quality make a difference? Bus Strateg Environ 29:3571–3583. https://doi.org/10.1002/bse.2597
Danish, Wang Z (2019) Investigation of the ecological footprints driving factors: what we learn from the experience of emerging economies. Sustain Cities Soc 101626:101626. https://doi.org/10.1016/j.scs.2019.101626
Danish BMA, Mahmood N, Zhang JW (2019) Effect of natural resources, renewable energy and economic development on CO 2 emissions in BRICS countries. Sci Total Environ 678:632–638. https://doi.org/10.1016/j.scitotenv.2019.05.028
Danish, Ulucak R, Khan S (2020a) Relationship between energy intensity and CO2 emissions: does economic policy matter? Sustain Dev 28:1457–1464. https://doi.org/10.1002/sd.2098
Danish, Ulucak R, Khan SU (2020b) Determinants of the ecological footprint: role of renewable energy, natural resources, and urbanization. Sustain Cities Soc 54:101996. https://doi.org/10.1016/j.scs.2019.101996
De Hoyos RE, Sarafidis V (2006) Testing for cross-sectional dependence in panel-data models. Stata J 6(4):482–496. https://doi.org/10.1177/1536867x0600600403
Dietz T, Rosa A, E., & York, R. (2007) Driving the human ecological footprint. Front Ecol Environ 5(1):13–18
Dogan E, Ulucak R, Kocak E, Isik C (2020) The use of ecological footprint in estimating the environmental Kuznets curve hypothesis for BRICST by considering cross-section dependence and heterogeneity. 723, 138063. https://doi.org/10.1016/j.scitotenv.2020.138063
Doğan B, Driha OM, Balsalobre Lorente D, Shahzad U (2021) The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries. Sustain Dev 29(1):1–12. https://doi.org/10.1002/sd.2125
Ehrlich PR, Holdren JP (1971) Impact of population growth. Science 171(3):1212–1217
Elliott JR, Clement MT (2014) Urbanization and carbon emissions: a nationwide study of local countervailing effects in the United States. Soc Sci Q 95(3):795–816. https://doi.org/10.1111/ssqu.12079
Engle RF, Granger CWJ (1987) Co-ıntegration and error correction: representation, estimation, and testing. Econometrica 55(2):251–276 http://links.jstor.org/sici?sici=0012-9682%28198703%2955%3A2%3C251%3ACAECRE%3E2.0.CO%3B2-T
Erdoğan S, Yıldırım DÇ, Gedikli A (2019) Investigation of causality analysis between economic growth and CO2 emissions: the case of BRICS – T countries. Int J Energy Econ Policy 9(6):430–438
Erdoğan S, Çakar ND, Ulucak R, Danish, Kassouri Y (2020) The role of natural resources abundance and dependence in achieving environmental sustainability: evidence from resource-based economies. Sustain Dev 2137. https://doi.org/10.1002/sd.2137
Frees EW (1995) Assessing cross-sectional correlation in panel data. J Econ 69(2):393–414. https://doi.org/10.1016/0304-4076(94)01658-M
Frees EW (2004) Longitudinal and panel data: analysis and applications in the social sciences. Cambridge University Press
Friedman M (1937) The use of ranks to avoid the assumption of normality ımplicit in the analysis of variance. J Am Stat Assoc 32(200):675. https://doi.org/10.2307/2279372
Grossman GM, Krueger AB (1991) Environmental ımpacts of a North American free trade agreement. National Bureau of Economic Research Working Paper Series, No. 3914(3914), 1–57.: https://doi.org/10.3386/w3914
Grossman GM, Krueger AB (1995) Economic growth and the environment. Q J Econ 110(2):353–377. https://doi.org/10.2307/2118443
Hashmi R, Alam K (2019) Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries: a panel investigation. J Clean Prod 231:1100–1109. https://doi.org/10.1016/j.jclepro.2019.05.325
Hoegh-Guldberg O, Jacob D, Tayloır M, Bindi M, Brown S, Camilloni I, Diedhiou A (2018) Impacts of 1.5°C global warming on natural and human systems. In V. Masson-Delmotte, P. Zhai, O. Pörtner, D. Roberts, J. Skea, P. R. Shukla, & A. Pirani (Eds.), Global warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change,. https://www.ipcc.ch/sr15/chapter/chapter-3/
Hossain S (2012) An econometric analysis for CO2 emissions, energy consumption, economic growth, foreign trade and urbanization of Japan. Low Carbon Economy 3(3A):92–105. https://doi.org/10.4236/lce.2012.323013
IEA. (2020). World Energy Outlook 2020. https://www.iea.org/reports/world-energy-outlook-2020
IPCC (2018) Global Warming of 1.5°C: An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change. https://www.ipcc.ch/sr15/(15.04.2021)
Issaoui F, Toumi H, Touili W (2016) The effects of carbon dioxide emissions on economic growth, urbanization, and welfare. The Journal of Energy and Development 41(1/2):223–252 https://www.jstor.org/stable/90005938?seq=1#metadata_info_tab_contents
Kao C (1999) Spurious regression and residual-based tests for cointegration in panel data. J Econ 90(1):1–44. https://doi.org/10.1016/S0304-4076(98)00023-2
Khan I, Hou F (2021) The dynamic links among energy consumption, tourism growth, and the ecological footprint: the role of environmental quality in 38 IEA countries. Environ Sci Pollut Res 28(5):5049–5062. https://doi.org/10.1007/s11356-020-10861-6
Khan K, Su CW, Tao R, Hao LN (2020a) Urbanization and carbon emission: causality evidence from the new industrialized economies. Environ Dev Sustain 22(8):7193–7213. https://doi.org/10.1007/s10668-019-00479-1
Khan MK, Khan MI, Rehan M (2020b) The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan. Financial Innovation 6(1):1–13. https://doi.org/10.1186/s40854-019-0162-0
Kim GU, Seo KH, Chen D (2019) Climate change over the Mediterranean and current destruction of marine ecosystem. Nat Sci Rep 9(1):1–9. https://doi.org/10.1038/s41598-019-55303-7
Lau LS, Choong CK, Ng CF, Liew FM, Ching SL (2019) Is nuclear energy clean? Revisit of environmental Kuznets curve hypothesis in OECD countries. Econ Model 77:12–20. https://doi.org/10.1016/j.econmod.2018.09.015
Li W, Wang W, Wang Y, Qin Y (2017) Industrial structure, technological progress and CO2 emissions in China: analysis based on the STIRPAT framework. Nat Hazards 88(3):1545–1564. https://doi.org/10.1007/s11069-017-2932-1
Li Z, Shao S, Shi X, Sun Y, Zhang X (2019) Structural transformation of manufacturing, natural resource dependence, and carbon emissions reduction: evidence of a threshold effect from China. J Clean Prod 206:920–927. https://doi.org/10.1016/j.jclepro.2018.09.241
Liu Y (2009) Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model). Energy 34(11):1846–1854. https://doi.org/10.1016/j.energy.2009.07.029
Mathbout S, Lopez-Bustins JA, Royé D, Martin-Vide J, Benhamrouche A (2020) Spatiotemporal variability of daily precipitation concentration and its relationship to teleconnection patterns over the Mediterranean during 1975–2015. Int J Climatol 40(3):1435–1455. https://doi.org/10.1002/joc.6278
McGee JA, York R (2018) Asymmetric relationship of urbanization and CO 2 emissions in less developed countries. PLoS One 13(12):e0208388. https://doi.org/10.1371/journal.pone.0208388
Mehmood U (2021) Renewable-nonrenewable energy: institutional quality and environment nexus in South Asian countries. Environ Sci Pollut Res 28:1–8. https://doi.org/10.1007/s11356-021-12554-0
Mrabet Z, Alsamara M, Saleh AS, Anwar S (2019) Urbanization and non-renewable energy demand: a comparison of developed and emerging countries. Energy 170:832–839. https://doi.org/10.1016/j.energy.2018.12.198
Muslija A, Satrovic E, Colakovic N (2020) The causal link between electricity generation and CO2 emissions: Toda and Yamamoto approach. Economy and Market Communication Review 10(1):27–41 0.7251/EMC2001027M
Nasrollahi Z, Hashemi M s, Bameri S, Mohamad Taghvaee V (2020) Environmental pollution, economic growth, population, industrialization, and technology in weak and strong sustainability: using STIRPAT model. Environ Dev Sustain 22(2):1105–1122. https://doi.org/10.1007/s10668-018-0237-5
Ottelin J, Heinonen J, Nässén J, Junnila S (2019) Household carbon footprint patterns by the degree of urbanisation in Europe. Environ Res Lett 14(11):114016. https://doi.org/10.1088/1748-9326/ab443d
Pedroni P (1999) Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxf Bull Econ Stat 61(s1):653–670. https://doi.org/10.1111/1468-0084.0610s1653
Pedroni P (2001a) Fully modified OLS for heterogeneous cointegrated panels. In Badi H. Baltagi, Thomas B. Fomby, & R. Carter Hill (Eds.), Nonstationary panels, panel cointegration, and dynamic panels (Advances in Econometrics, Volume 15) (pp. 93–130).: https://doi.org/10.1016/S0731-9053(00)15004-2
Pedroni P (2001b) Purchasing power parity tests in cointegrated panels. Rev Econ Stat 83:727–731). The MIT Press. https://doi.org/10.2307/3211767
Pedroni P (2004) Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory 20(03):597–625. https://doi.org/10.1017/S0266466604203073
Pesaran MH (2004) General diagnostic tests for cross section dependence in panels (No. 1233; CWPE 0435)
Pesaran MH (2006) Estimation and ınference in large heterogeneous panels with a multifactor error structure. Econometrica 74(4):967–1012. https://doi.org/10.1111/j.1468-0262.2006.00692.x
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econ 22(2):265–312. https://doi.org/10.1002/jae.951
Pesaran MH (2015) Time series and panel data econometrics (First Edit). Oxford University Press
Pesaran MH, Ullah A, Yamagata T (2008) A bias-adjusted LM test of error cross-section independence. Econ J 11(1):105–127. https://doi.org/10.1111/j.1368-423X.2007.00227.x
Phillips PCB, Hansen BE (1990) Statistical ınference in ınstrumental variables regression with I(1) processes. Rev Econ Stud 57(1):99. https://doi.org/10.2307/2297545
Poumanyvong P, Kaneko S (2010) Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis. Ecol Econ 70(2):434–444. https://doi.org/10.1016/j.ecolecon.2010.09.029
Qi X, Han Y, Kou P (2020) Population urbanization, trade openness and carbon emissions: an empirical analysis based on China. Air Qual Atmos Health 13(5):519–528. https://doi.org/10.1007/s11869-020-00808-8
Rosa EA, Dietz T (1998) Climate change and society: speculation, construction and scientific ınvestigation. Int Sociol 13(4):421–455. https://doi.org/10.1177/026858098013004002
Salahuddin M, Habib MA, Al-Mulali U, Ozturk I, Marshall M, Ali MI (2020) Renewable energy and environmental quality: a second-generation panel evidence from the Sub Saharan Africa (SSA) countries. Environ Res 191:110094. https://doi.org/10.1016/j.envres.2020.110094
Sanchez Rodriguez R, Ürge-Vorsatz D, Barau AS (2018) Sustainable Development Goals and climate change adaptation in cities. Nat Clim Chang 8(3):181–183). Nature Publishing Group. https://doi.org/10.1038/s41558-018-0098-9
Sarafidis V, Wansbeek T (2012) Cross-sectional dependence in panel data analysis. Econ Rev 31(5):483–531. https://doi.org/10.1080/07474938.2011.611458
Sarkodie SA, Adams S, Owusu PA, Leirvik T, Ozturk I (2020) Mitigating degradation and emissions in China: the role of environmental sustainability, human capital and renewable energy. Sci Total Environ 719. https://doi.org/10.1016/j.scitotenv.2020.137530
Satrovic E, Muslija A (2019) The empirical evidence on tourism-urbanization-CO2 emissions nexus. Advances in Hospitality and Tourism Research 7(1):85–105. https://doi.org/10.30519/ahtr.484287
Satrovic E, Muslija A, Abul SJ (2020) The relationship between CO2 emissions and gross capital formation in Turkey and Kuwait. South East European Journal of Economics and Business 15(2):28–42. https://doi.org/10.2478/jeb-2020-0013
Shahbaz M, Sbia R, Hamdi H, Ozturk I (2014) Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates. Ecol Indic 45:622–631. https://doi.org/10.1016/j.ecolind.2014.05.022
Singh U, Das K, Roy A (2017) How to test endogeneity or exogeneity: an E-learning hands on SAS. http://www.kiran.nic.in/pdf/Social_Science/e-learning/How_to_Test_Endogeneity_or_Exogeneity_using_SAS-1.pdf
Tiba S, Frikha M (2019) The controversy of the resource curse and the environment in the SDGs background: the African context. Res Policy 62:437–452. https://doi.org/10.1016/j.resourpol.2019.04.010
Ullah S, Akhtar P, Zaefarian G (2018) Dealing with endogeneity bias: the generalized method of moments (GMM) for panel data. Ind Mark Manag 71:69–78. https://doi.org/10.1016/j.indmarman.2017.11.010
Ullah S, Zaefarian G, Ullah F (2020) How to use instrumental variables in addressing endogeneity? A step-by-step procedure for non-specialists. Industrial Marketing Management Elsevier Inc. https://doi.org/10.1016/j.indmarman.2020.03.006
Ulucak ZS, Yucel AG (2021) Can renewable energy be used as an effective tool in the decarbonization of the Mediterranean region: fresh evidence under cross-sectional dependence. Environ Sci Pollut Res:1–11. https://doi.org/10.1007/s11356-021-14350-2
Ulucak R, Yücel AG, Koçak E (2019) The process of sustainability: from past to present. In: Ozcan B, Ozturk İ (eds) Environmental Kuznets curve (EKC) (pp. 37–53). Elsevier. https://doi.org/10.1016/B978-0-12-816797-7.00005-9
Ulucak R, Danish, Ozcan B (2020a) Relationship between energy consumption and environmental sustainability in OECD countries: the role of natural resources rents. Res Policy 69:101803. https://doi.org/10.1016/j.resourpol.2020.101803
Ulucak R, Koçak E, Erdoğan S, Kassouri Y (2020b) Investigating the non-linear effects of globalization on material consumption in the EU countries: evidence from PSTR estimation. Res Policy 67:101667. https://doi.org/10.1016/j.resourpol.2020.101667
Wang Z, Danish Z, B., & Wang, B. (2018) Renewable energy consumption, economic growth and human development index in Pakistan: evidence form simultaneous equation model. J Clean Prod 184:1081–1090. https://doi.org/10.1016/j.jclepro.2018.02.260
Wang Y, Li X, Kang Y, Chen W, Zhao M, Li W (2019) Analyzing the impact of urbanization quality on CO2 emissions: what can geographically weighted regression tell us? Renew Sust Energ Rev 104:127–136. https://doi.org/10.1016/j.rser.2019.01.028
Westerlund J (2007) Testing for error correction in panel data. Oxf Bull Econ Stat 69(6):709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
Yan B, Wu L, Wang XH, Wu J (2021) How can environmental intervention work during rapid urbanization? Examining the moderating effect of environmental performance-based accountability in China. Environ Impact Assess Rev 86:106476. https://doi.org/10.1016/j.eiar.2020.106476
Yang X, Wang XC, Zhou ZY (2018) Development path of Chinese low-carbon cities based on index evaluation. Adv Clim Chang Res 9(2):144–153. https://doi.org/10.1016/j.accre.2018.05.004
Yazdi SK, Dariani AG (2019) CO2 emissions, urbanisation and economic growth: evidence from Asian countries. Http://Www.Tandfonline.Com/Action/AuthorSubmission?JournalCode=rero20&page=instructions. https://doi.org/10.1080/1331677X.2018.1556107
Yilanci V, Ulucak R, Ozgur O (2021) Insights for a sustainable environment: analysing the persistence of policy shocks to ecological footprints of Mediterranean countries. Spatial Economic Analysis, 1-20. https://doi.org/10.1080/17421772.2021.1919313
York R, Rosa EA, Dietz T (2003) STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts. Ecol Econ 46(3):351–365. https://doi.org/10.1016/S0921-8009(03)00188-5
Zeraibi A, Balsalobre-Lorente D, Murshed M (2021) The influences of renewable electricity generation, technological innovation, financial development, and economic growth on ecological footprints in ASEAN-5 countries. Environ Sci Pollut Res:1–19. https://doi.org/10.1007/s11356-021-14301-x
Zhang YJ, Yi WC, Li BW (2015) The ımpact of urbanization on carbon emission: empirical evidence in Beijing. Energy Procedia 75:2963–2968. https://doi.org/10.1016/j.egypro.2015.07.601
Zile M (2020) Renewable energy sources in the Mediterranean region. Journal of New Results in Engineering and Natural Science, 11, 8–22. http://jrens.gop.edu.tr88
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Ulucak, R., Erdogan, F. & Bostanci, S.H. A STIRPAT-based investigation on the role of economic growth, urbanization, and energy consumption in shaping a sustainable environment in the Mediterranean region. Environ Sci Pollut Res 28, 55290–55301 (2021). https://doi.org/10.1007/s11356-021-14860-z
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DOI: https://doi.org/10.1007/s11356-021-14860-z