The relationship of economic growth and carbon-dioxide emissions: an application on member countries of Organization of Islamic Cooperation
DOI:
https://doi.org/10.12775/EiP.2021.048Keywords
carbon dioxide emission, economic growth, environment, panel data analysisAbstract
Motivation: Humanity has benefited from natural resources in production activities throughout history and this pressure on natural resources has increased even more with the efforts of industrialization. In this process, people benefited heavily from fossil fuels in their production and distribution activities, thereby damaging the environment and the atmosphere to a large extent. With the destruction of the environment, it has become important for the countries and the academic circles to measure environmental damage with the increase of economic activities in order to take various measures.
Aim: At this point, in this study, the relationship between economic growth and carbon-dioxide emissions was examined within the scope of 50 countries that are members of the Organization of Islamic Cooperation (OIC). In this process, annual data of the countries concerned between 1995 and 2017 were used; Pedroni Cointegration Analysis, Granger Causality Analysis, Pooled Mean Group Estimator (PMGE) and Mean Group Estimator (MGE) methods were used to measure and estimate the relationship between these two variables. The causality analysis shows that the economic growth is the Granger cause of carbon-dioxide emissions in the country group studied. In addition, the coefficients obtained in PMGE and MGE analyzes were found as 0.43 and 0.33 and were statistically significant and positive. Then, with the help of Hausman Homogeneity Test, it was decided between the two estimators, and it concluded that PMGE Estimator is the more reliable estimator.
Results: The results obtained with the PMGE estimator indicate that the 1% increase in economic growth increased carbon dioxide emission by 0.43%.
References
Alam, M.M., Murad, M.W., Noman, A.H.M., & Ozturk, I. (2016). Relationships among carbon emissions, economic growth, energy consumption and population growth: testing Environmental Kuznets Curve hypothesis for Brazil, China, India and Indonesia. Ecological Indicators, 70, 466–479. https://doi.org/10.1016/j.ecolind.2016.06.043.
Albayrak, E. N., & Gökçe, A. (2015). Ekonomik büyüme ve çevresel kirlilik ilişkisi: cevresel Kuznets eğrisi ve Türkiye örneğ. Sosyal Bilimler Araştırma Dergisi, 4(2), 279–301.
Alper, F.Ö., & Alper, A.E. (2017). Karbondioksit emisyonu, ekonomik büyüme, enerji tüketimi ilişkisi: Türkiye için bir ARDL sınır testi yaklaşımı. Sosyoekonomi, 25(33), 145–156. https://doi.org/10.17233/sosyoekonomi.292114.
Aşıcı, A.A. (2013). Economic growth and its impact on environment: a panel data analysis. Ecological indicators, 24, 324–333. https://doi.org/10.1016/j.ecolind.2012.06.019.
Atgür, M. (2021). Ekonomik büyüme, enerji tüketimi ve karbon emisyonları ilişkisi: Çin örneği. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, 23(1), 172–186. https://doi.org/10.32709/akusosbil.696857.
Ayşe, A.R.I., & Zeren, F. (2011). CO2 emisyonu ve ekonomik büyüme: panel veri analizi. Yönetim ve Ekonomi Dergisi, 18(2), 37–47.
Aytun, C. (2014). Çevresel Kuznets eğrisi hipotezi: panel veri analizi. Akademik Bakış Uluslararası Hakemli Sosyal Bilimler Dergisi, (44).
Bai, J., Ng, S. (2004). A panic attack on unit roots and cointegration. Econometrica, 72(4), 1127–1177. https://doi.org/10.1111/j.1468-0262.2004.00528.x.
Bekar, S.A. (2018). The relationship between Co2 emission and economic growth in Turkey: 1977–2011. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 193–206. https://doi.org/10.18092/ulikidince.428059.
Boopen, S., & Vinesh, S. (2011). On the relationship between CO2 emissions and economic growth: the Mauritian experience. Retrieved 14.08.2021 from http://www.csae.ox.ac.uk/conferences/2011-EDiA/papers/776-Seetanah.pdf.
Breitung, J. (2001). The local power of some unit root tests for panel data. Advances in Econometrics, 15 (2), 161–177. https://doi.org/10.1016/S0731-9053(00)15006-6.
Burnett, J.W., Bergstrom, J.C., & Wetzstein, M.E. (2013). Carbon dioxide emissions and economic growth in the US. Journal of Policy Modeling, 35(6), 1014–1028. https://doi.org/10.1016/j.jpolmod.2013.08.001.
Çetin, M., & Seker, F. (2014). Ekonomik büyüme ve dış ticaretin çevre kirliliği üzerindeki etkisi: Türkiye için bir ARDL sınır testi yaklaşımı. Yönetim ve Ekonomi Dergisi, 21(2), 213–230. https://doi.org/10.18657/yecbu.48366.
Chaabouni, S., Zghidi, N., & Mbarek, M.B. (2016). On the causal dynamics between CO2 emissions, health expenditures and economic growth. Sustainable Cities and Society, 22, 184–191. https://doi.org/10.1016/j.scs.2016.02.001.
Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249–272. https://doi.org/10.1016/S0261-5606(00)00048-6.
Dal, M.M., Karakaya, E., & Bulut, Ş. (2013). Çevresel Kuznets eğrisi ve Türkiye: ampirik bir analiz. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 85–96.
Dietz, F.J., & van der Straaten, J. (1992). Rethinking environmental economics : missing links between economic theory and environmental policy. Journal of Economic Issues, 26(1), 27–51. https://doi.org/10.1080/00213624.1992.11505261.
Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger noncausality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014.
Ghorashi, N., & Alavi Rad, A. (2017). CO2 emissions, health expenditures and economic growth in Iran: apply dynamic simultaneous-equations models. Journal of Community Health Research, 6(2), 109–116.
Gülmez, A. (2015). OECD ülkelerinde ekonomik büyüme ve hava kirliliği ilişkisi: panel veri analizi. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(3), 18–30.
Gündüz, H. (2014). Çevre kirliliği ile gelir arasındaki ilişkinin incelenmesi: panel eşbütünleşme analizi ve hata düzeltme modeli. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 36(1), 409–423.
Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2), 148–16. https://doi.org/10.1111/1368-423X.00043.
Harris, R.D., & Tzavalis, E. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of Econometrics, 91(2), 201–226. https://doi.org/10.1016/S0304-4076(98)00076-1.
Holtz-Eakin, D., & Selden, T.M. (1995). Stoking the fires: CO2 emissions and economic growth. Journal of Public Economics, 57(1), 85–101. https://doi.org/10.1016/0047-2727(94)01449-X.
Im, K.-S.O., Pesaran, M.H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7.
Konat, G. (2021). Türkiye’de karbondioksit emisyonu ve ekonomik büyüme ilişkisi: yapısal kırılmalı testlerden kanıtlar. Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi, 9(1), 105–122.
Levin, A., Lin, C.-F., & Chu, C.-S.J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24. https://doi.org/10.1016/S0304-4076(01)00098-7.
Maddala, G.S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631–652. https://doi.org/10.1111/1468-0084.0610s1631.
Moon, H.R., & Perron, B. (2004). Testing for a unit root in panels with dynamic factors. Journal of Econometrics, 122(1), 81–126.
O’Connell, P.G.J. (1998). The overvaluation of purchasing power parity. Journal of International Economics, 44(1), 1–19. https://doi.org/10.1016/S0022-1996(97)00017-2.
Pata, U.K. & Terzi, H. (2016). The relationship between aggregated-disaggregated energy consumption and economic growth in Turkey. Business and Economics Research Journal, 7(4), 1–15. https://doi.org/10.20409/berj.2016422335.
Pata, U.K. (2018a). Renewable energy consumption, urbanization, financial development, income and CO2 emissions in Turkey: testing EKC hypothesis with structural breaks. Journal of Clenaer Production, 187, 770–749.
Pata, U.K. (2018b). The effect of urbanization and industrialization on carbon emissions in turkey: evidence from ARDL bounds testing procedure. Environmental Science and Pollution Research, 25, 7740–7747. https://doi.org/10.1007/s11356-017-1088-6.
Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653–670. https://doi.org/10.1111/1468-0084.0610s1653.
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(3), 597–625. https://doi.org/10.1017/S0266466604203073.
Pesaran, M.H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers in Economics, 0435, 1–41.
Pesaran, M.H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265–312. https://doi.org/10.1002/jae.951.
Pesaran, M.H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79–113. https://doi.org/10.1016/0304-4076(94)01644-F.
Pesaran, M.H., Shin, Y., & Smith, R.P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94(446), 621–634. https://doi.org/10.2307/2670182.
Raza, S.A., & Shah, N. (2018). Testing environmental Kuznets curve hypothesis in G7 countries: the role of renewable energy consumption and trade. Environmental Science and Pollution Research, 25(27), 26965–26977. https://doi.org/10.1007/s11356-018-2673-z.
Ritchie, H., & Roser, M. (2020). CO₂ and greenhouse gas emissions. Retrieved 18.08.2021 from https://ourworldindata.org/co2-and-other-greenhouse-gas-emissions.
Roca, J., Padilla, E., Farré, M., & Galletto, V. (2001). Economic growth and atmospheric pollution in Spain: discussing the environmental Kuznets curve hypothesis. Ecological Economics, 39(1), 85–99. https://doi.org/10.1016/S0921-8009(01)00195-1.
Saatçi, M., & Dumrul, Y. (2011). Çevre kirliliği ve ekonomik büyüme ilişkisi: çevresel kuznets eğrisinin Türk ekonomisi için yapisal kirilmali eş-bütünleşme yöntemiyle tahmini. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (37), 65–86.
Şahinöz, A., & Fotourehchi, Z. (2013). Çevresel kuznets eğrisi: ındirgenmiş ve ayriştirilmiş modellerle ampirik bir analiz. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 31(1), 199–224.
Sancar, C., & Polat, M.A. (). CO2 emisyonları, ekonomik büyüme ve sağlık harcamaları ilişkisi: Türkiye ve seçilmiş ülke örnekleri için ampirik bir uygulama. MANAS Sosyal Araştırmalar Dergisi, 10(1), 236–252. https://doi.org/10.33206/mjss.748253.
Sarisoy, S., & Yildiz, F. (2013). Karbondioksit (CO2) emisyonu ve ekonomik büyüme ilişkisi: gelişmiş ve gelişmekte olan ülkeler için panel veri analizi. Sosyal Bilimler Metinleri, (1), 1–19.
Spash, C.L. (1999). The development of environmental thinking in economics. Environmental Values, 8(4), 413–435. http://dx.doi.org/10.3197/096327199129341897.
Tatoğlu, F.Y. (2013). İleri panel veri analizi. Beta Yayınları.
Topalli, N. (2016). CO2 emisyonu ve ekonomik büyüme arasındaki ilişki: Hindistan, Çin, Brezilya ve Güney Afrika için panel veri analizi. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(1), 427–447.
Uysal, D., Yapraklı, H. (2016). Kişi başına düşen gelir, enerji tüketimi ve karbondioksit (Co2) emisyonu arasındaki ilişkinin yapısal kırılmalar altında analizi: Türkiye örneği. Sosyal Ekonomik Araştırmalar Dergisi, 16(31), 186–202. https://doi.org/10.30976/susead.302164.
Wang, Q., & Jiang, R. (2020). Is carbon emission growth decoupled from economic growth in emerging countries: new insights from labor and investment effects. Journal of Cleaner Production, 248, 119188. https://doi.org/10.1016/j.jclepro.2019.119188.
Wawrzyniak, D., & Doryń, W. (2020). Does the quality of institutions modify the economic growth-carbon dioxide emissions nexus: evidence from a group of emerging and developing countries. Economic Research: Ekonomska Istrazivanja, 33(1), 124–144. https://doi.org/10.1080/1331677X.2019.1708770.
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x.
World Bank. (2021). World development indicators. Retrieved 18.08.2021 from https://databank.worldbank.org/home.aspx.
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