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Energy Consumption, Trade Openness, CO2 Emissions, and the Pollution Haven Hypothesis in Turkey: Evidence from Novel Dynamic ARDL Simulations

Year 2022, , 480 - 507, 29.09.2022
https://doi.org/10.53306/klujfeas.1147997

Abstract

With the global environmental sustainability at serious risk, studies on the determinants of environmental degradation become important. The effect of foreign direct investments on environmental degradation can be examined within the scope of the pollution haven hypothesis. Again, the effect of energy consumption and trade openness on environmental degradation indicators is also important in terms of forming policies for the future of countries.The main purpose of this study is to examine the impact of foreign direct investment, energy consumption and trade openness on environmental quality and the validity of the pollution haven hypothesis in Turkey. As a result of the analyses employed with the novel dynamic ARDL simulations method using annual time series data between 1970 and 2020, it has been determined that (1) increases (decreases) in foreign direct investments worsen (improve) the environmental quality and therefore the pollution haven hypothesis is valid for Turkey; (2) increases (decreases) in energy use have deteriorating (improving) effects on environmental quality; (3) increase (decrease) of trade openness affects the environmental quality positively (negatively); (4) the effect of energy use (trade openness) on environmental quality is more (less) than other variables. Finally, suggestions were made to policymakers in line with the findings.

References

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Türkiye’de Enerji Tüketimi, Ticari Açıklık, CO2 emisyonları ve Kirlilik Sığınağı Hipotezi: Yeni Dinamik ARDL Simülasyonlarından Kanıtlar

Year 2022, , 480 - 507, 29.09.2022
https://doi.org/10.53306/klujfeas.1147997

Abstract

Küresel olarak çevresel sürdürülebilirliğin ciddi bir şekilde risk altına girmesiyle beraber çevresel bozulmanın belirleyicilerine yönelik çalışmalar önemli hale gelmektedir. Doğrudan yabancı yatırımların çevresel bozulma üzerine etkisi, kirlilik sığınağı hipotezi kapsamında incelenebilmektedir. Yine enerji tüketimi ve ticari açıklığın çevresel bozulma göstergeleri üzerine etkisi de ülkelerin geleceğe yönelik politikalar oluşturması bakımından önemlidir. Bu çalışmanın temel amacı, doğrudan yabancı yatırımlar, enerji tüketimi ve ticari açıklığın çevre kalitesi üzerindeki etkisini ve kirlilik sığınağı hipotezinin geçerliliğini Türkiye’de incelemektir. 1970-2020 arasındaki yıllık zaman serisi verileri kullanılarak yeni dinamik ARDL simülasyonları yöntemi ile gerçekleştirilen analizler sonucunda (1) doğrudan yabancı yatırımlardaki artışların (azalışların) çevre kalitesini kötüleştirdiği (iyileştirdiği) ve dolayısıyla kirlilik sığınağı hipotezinin Türkiye için geçerli olduğu; (2) enerji kullanımı artışlarının (azalışlarının) çevre kalitesi üzerinde kötüleştirici (iyileştirici) etkilerinin olduğu; (3) ticari açıklığın artmasının (azalmasının) çevre kalitesini olumlu (olumsuz) etkilediği; (4) enerji kullanımının (ticari açıklığın) çevre kalitesi üzerindeki etkisinin diğer değişkenlere göre daha fazla (az) olduğu belirlenmiştir. Son olarak elde edilen bulgular doğrultusunda politika yapıcılara önerilerde bulunulmuştur.

References

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  • Ahad, M., & Imran, Z. A. (2022). The role of shadow economy to determine CO2 Emission in Pakistan: evidence from novel dynamic simulated ARDL model and wavelet coherence analysis. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-022-02164-2.
  • Akadiri, S. S., Bekun, F. V., & Sarkodie, S. A. (2019). Contemporaneous interaction between energy consumption, economic growth and environmental sustainability in South Africa: What drives what? Science of The Total Environment, 686, 468-475.
  • Ali, I. M. A. (2022). Income inequality and environmental degradation in Egypt: evidence from dynamic ARDL approach. Environmental Science and Pollution Research, 29, 8408-8422.
  • Ali, S., Yusop, Z., Kaliappan, S.R. & Chin, L. (2020). Dynamic common correlated effects of trade openness, FDI, and institutional performance on environmental quality: evidence from OIC countries. Environ Sci Pollut Res 27, 11671–11682 (2020). https://doi.org/10.1007/s11356-020-07768-7
  • Amin, A., Dogan, E. (2021). The role of economic policy uncertainty in the energy-environment nexus for China: Evidence from the novel dynamic simulations method. Journal of Environmental Management, 292, 112865. https://doi.org/10.1016/j.jenvman.2021.112865.
  • Ansari, M.A., Khan, N.A. & Ganaie, A.A., (2019). Does foreign direct investment impede environmental quality in Asian countries? A panel data analysis. OPEC Energy Review.
  • Antweiler, W., Copeland, B. R. & Taylor, M. S. (2001). Is Free Trade Good for the Environment? American Economic Review, 91 (4): 877-908.
  • Ashraf, A., Doytch, N. & Uctum, M. (2021). Foreign direct investment and the environment: disentangling the impact of greenfield investment and merger and acquisition sales, Sustainability Accounting, Management and Policy Journal, Vol. 12 No. 1, pp. 51-73. https://doi.org/10.1108/SAMPJ-04-2019-0184
  • Aslan, A., Altinoz, B., & Ozsolak, B. (2021). The link between urbanization and air pollution in Turkey: evidence from dynamic autoregressive distributed lag simulations. Environmental Science and Pollution Research, 28, 52370-52380.
  • Baek, J., Cho, Y. & Koo, W. W. (2009). The environmental consequences of globalization: A country-specific time-series analysis, Ecological Economics, Volume 68, Issues 8–9, Pages 2255-2264, ISSN 0921-8009, https://doi.org/10.1016/j.ecolecon.2009.02.021.
  • Boulatoff, C. & Jenkins, M. (2010). Long-term Nexus Between Openness, Income, and Environmental Quality. Int Adv Econ Res 16, 410–418 (2010). https://doi.org/10.1007/s11294-010-9283-y.
  • Bulut, U., Ucler, G., & Inglesi-Lotz, R. (2021). Does the pollution haven hypothesis prevail in Turkey? Empirical evidence from nonlinear smooth transition models. Environmental Science and Pollution Research, 28, 38563-38572.
  • Danish, & Ulucak, R. (2020). Linking biomass energy and CO2 emissions in China using dynamic Autoregressive-Distributed Lag simulations. Journal of Cleaner Production, 250, 119533. https://doi.org/10.1016/j.jclepro.2019.119533.
  • Danish, & Ulucak, R. (2021). Renewable energy, technological innovation and the environment: A novel dynamic auto-regressive distributive lag simulation. Renewable and Sustainable Energy Reviews, 150, 111433. https://doi.org/10.1016/j.rser.2021.111433.
  • Danish, & Ulucak, R. (2022). Analyzing energy innovation-emissions nexus in China: A novel dynamic simulation method. Energy, 244(Part B), 123010. https://doi.org/10.1016/j.energy.2021.123010.
  • Destek, M.A. & Okumus, I. (2019). Does pollution haven hypothesis hold in newly industrialized countries? Evidence from ecological footprint. Environ Sci Pollut Res, 26, 23689–23695 . https://doi.org/10.1007/s11356-019-05614-z
  • Elliot, G., Rothenberg, T. J., & Stock, J. H., (1996). Efficient Tests for an Autoregressive Unit Root. Econometrica, 64, 813-36. Golub, S. S., C. Kauffmann & P. Yeres (2011), Defining and Measuring Green FDI: An Exploratory Review of Existing Work and Evidence, OECD Working Papers on International Investment, 2011/02, OECD Publishing. http://dx.doi.org/10.1787/5kg58j1cvcvk-en
  • Hair, J., Black, W. C., Babin, B. J. & Anderson, R. E. (2010) Multivariate data analysis (7th ed.). Upper Saddle River, New Jersey: Pearson Educational International.
  • Hdom, H. A. D., & Fuinhas, J. A. (2020). Energy production and trade openness: Assessing economic growth, CO2 emissions and the applicability of the cointegration analysis. Energy Strategy Reviews, 30, 100488. https://doi.org/10.1016/j.esr.2020.100488.
  • Huynh, C. M. & Hoang, H. H. (2019). Foreign direct investment and air pollution in Asian countries: does institutional quality matter?, Applied Economics Letters, 26:17, 1388-1392, DOI: 10.1080/13504851.2018.1563668
  • International Energy Agency. (2016). World energy statistics 2016.
  • Islam, M. S., Hossain, M. E., Khan, M. A., Rana, M. J., Ema, N. S., & Bekun, F. V. (2022). Heading towards sustainable environment: exploring the dynamic linkage among selected macroeconomic variables and ecological footprint using a novel dynamic ARDL simulations approach. Environmental Science and Pollution Research, 29, 22260-22279.
  • Jordan, S., & Philips, A. Q. (2018a). Cointegration testing and dynamic simulations of autoregressive distributed lag models. The Stata Journal, 18(4), 902-923.
  • Jordan, S., & Philips, A. Q. (2018b). Dynamic Simulation and Testing for Single-Equation Cointegrating and Stationary Autoregressive Distributed Lag Models. The R Journal, 10(2), 469-488.
  • Kallner, A. (2018). Laboratory Statistics (2nd ed.). Elsevier. https://doi.org/10.1016/C2017-0-00959-X.
  • Kamal, M.; Usman, M.; Jahanger, A. & Balsalobre-Lorente, D. (2021). Revisiting the Role of Fiscal Policy, Financial Development, and Foreign Direct Investment in Reducing Environmental Pollution during Globalization Mode: Evidence from Linear and Nonlinear Panel Data Approaches. Energies , 14, 6968. https://doi.org/10.3390/en14216968
  • Kellenberg, D. K. (2009). An empirical investigation of the pollution haven effect with strategic environment and trade policy, Journal of International Economics, Volume 78, Issue 2, Pages 242-255, ISSN 0022-1996, https://doi.org/10.1016/j.jinteco.2009.04.004.
  • Khan, M. I., Teng, J.-Z., Khan, M. K., Jadoon, A. U., & Khan, M. F. (2021). The impact of oil prices on stock market development in Pakistan: Evidence with a novel dynamic simulated ARDL approach. Resources Policy, 70, 101899. https://doi.org/10.1016/j.resourpol.2020.101899.
  • Kripfganz, S., & Schneider, D. C. (2020). Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models 1. Oxford Bulletin of Economics and Statistics, 82, 1456-1481.
  • Kristjánsdóttir, H., & Óskarsdóttir, S. (2020). EU-country and non-EU-country at the time of crisis: Foreign direct investment. Baltic Journal of Economic Studies, 6(3), 19-23.
  • Le, T. H., Chang, Y. & Park, D. (2016). Trade openness and environmental quality: International evidence, Energy Policy, Volume 92, Pages 45-55, ISSN 0301-4215, https://doi.org/10.1016/j.enpol.2016.01.030.
  • Liu, Y., Sadiq, F., Ali, W. & Kumail, T. (2022). Does tourism development, energy consumption, trade openness and economic growth matters for ecological footprint: Testing the Environmental Kuznets Curve and pollution haven hypothesis for Pakistan, Energy, Volume 245, 123208, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2022.123208.
  • Mabey, N. & McNally, R. (1999). Foreign Direct Investment and the Environment: from Pollution Havens to Sustainable Development; A WWF-UK Report; World Wildlife Fund: London. UK, 1999
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Details

Primary Language Turkish
Journal Section Articles
Authors

Mustafa Necati Çoban 0000-0003-2839-4403

Oktay Özkan 0000-0001-9419-8115

Publication Date September 29, 2022
Published in Issue Year 2022

Cite

APA Çoban, M. N., & Özkan, O. (2022). Türkiye’de Enerji Tüketimi, Ticari Açıklık, CO2 emisyonları ve Kirlilik Sığınağı Hipotezi: Yeni Dinamik ARDL Simülasyonlarından Kanıtlar. Kırklareli Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 11(2), 480-507. https://doi.org/10.53306/klujfeas.1147997