BRICS-T Ülkelerinde Ekonomik Büyüme, Doğrudan Yabancı Yatırım ve Çevresel Kirlilik İlişkisi: Çevresel Kuznets Eğrisi ve Kirlilik Sığınağı Hipotezlerinin Ampirik Analizi

Year 2022, , 1457 - 1478, 14.09.2022

Tunahan Hacıimamoğlu

https://doi.org/10.25295/fsecon.1088461

Cited By: 2

Abstract

Küresel ısınma, çevresel kirlilik ve kaynakların kontrolsüz kullanımı insan yaşamı ve sürdürülebilir kalkınma için ciddi bir tehdit olarak kabul edilmektedir. Bu çalışmanın amacı BRICS–T ülkelerinde ekonomik büyüme, doğrudan yabancı yatırımlar ve çevresel kirlilik arasındaki ilişkileri çevresel Kuznets eğrisi ve kirlilik sığınağı hipotezleri bağlamında incelemektir. 1992–2017 dönemine ait yıllık verilerin kullanıldığı çalışmada ikinci nesil panel veri analizi yöntemleri uygulanmıştır. Eşbütünleşme testinden ulaşılan bulgularda değişkenlerin uzun dönemde birlikte hareket ettikleri yani eşbütünleşik oldukları tespit edilmiştir. Tahmin sonucunda BRICS–T ülkeleri için, çevre kirliliği ile ekonomik büyüme arasında ters–U şeklinde bir ilişkinin olduğunu ileri süren çevresel Kuznets eğrisi ve çevresel kirlilik ile doğrudan yabancı yatırımlar arasında pozitif bir ilişkinin olduğunu ifade eden kirlilik sığınağı hipotezlerinin geçerli olduğu belirlenmiştir. Nedensellik testinden ise ekonomik büyümeden çevresel kirliliğe ve çevresel kirlilikten doğrudan yabancı yatırımlara tek yönlü bir nedensellik ilişkisinin olduğuna yönelik ampirik kanıtlar elde edilmiştir. Elde edilen kanıtlar doğrultusunda BRICS–T ülkelerine, ekonomik büyümeden ziyade sürdürülebilir kalkınma ve çevre konularına daha fazla odaklanmaları ve doğrudan yabancı yatırım standartlarını geliştirmeleri önerilmektedir.

Keywords

Sürdürülebilir Kalkınma, Ekolojik Ayak İzi, Çevresel Kuznets Eğrisi, Kirlilik Sığınağı Hipotezi, BRICS-T.

Supporting Institution

Çalışma herhangi bir kurum tarafından desteklenmemektedir.

The Relationship between Economic Growth, Foreign Direct Investment and Environmental Pollution in BRICS-T Countries: Empirical Analysis of the Environmental Kuznets Curve and Pollution Haven Hypotheses

Abstract

Global warming, environmental pollution and uncontrolled use of resources are accepted as critical threats to human life and sustainable development. This study aims to examine the relationships between economic growth, foreign direct investment and environmental pollution in BRICS-T countries in the context of environmental Kuznets curve and pollution haven hypotheses. Second-generation panel data analysis methods were employed in the study, in which annual data from the period 1992-2017 were used. Findings obtained from the cointegration test indicate that the variables move together in the long run, that is, they are cointegrated. According to the result of the estimation, it has been determined that the environmental Kuznets curve, which claims that there is an inverted-U-shaped relationship between environmental pollution and economic growth, and the pollution haven hypothesis, which states that there is a positive relationship between environmental pollution and foreign direct investments, are both valid for BRICS-T countries. From the causality test, however, empirical evidence shows that there is a one-way causality relationship from economic growth to environmental pollution and from environmental pollution to foreign direct investment. Based on the evidence obtained, it is recommended that BRICS-T countries focus more on sustainable development and environment rather than economic growth, and improve their foreign direct investment standards.

Keywords

Sustainable Development, Ecological Footprint, Environmental Kuznets Curve, Pollution Haven Hypothesis, BRICS-T.

References

• Ahmad, M., Jabeen, G., & Wu, Y. (2021). Heterogeneity of Pollution Haven/Halo Hypothesis and Environmental Kuznets Curve Hypothesis Across Development Levels of Chinese Provinces. Journal of Cleaner Production, 285, 124898.
• Al-Mulali, U., Saboori, B., & Ozturk, I. (2015). Investigating the Environmental Kuznets Curve Hypothesis in Vietnam. Energy Policy, 76, 123-131.
• An, H., Razzaq, A., Haseeb, M., & Mihardjo, L. W. (2021). The Role of Technology Innovation and People’s Connectivity in Testing Environmental Kuznets Curve and Pollution Heaven Hypotheses Across the Belt and Road Host Countries: New Evidence from Method of Moments Quantile Regression. Environmental Science and Pollution Research, 28(5), 5254-5270.
• Andreoni, J., & Levinson, A. (2001). The Simple Analytics of the Environmental Kuznets Curve. Journal of Public Economics, 80(2), 269-286.
• Anser, M. K., Yousaf, Z., Nassani, A. A., Abro, M. M. Q., & Zaman, K. (2020). International Tourism, Social Distribution, and Environmental Kuznets Curve: Evidence from a Panel of G-7 Countries. Environmental Science and Pollution Research, 27(3), 2707-2720.
• Bai, J., & Kao, C. (2006). On the Estimation and Inference of a Panel Cointegration Model with Cross-Sectional Dependence. Contributions to Economic Analysis, 274, 3-30.
• Bakirtas, I., & Cetin, M. A. (2017). Revisiting the Environmental Kuznets Curve and Pollution Haven Hypotheses: MIKTA Sample. Environmental Science and Pollution Research, 24(22), 18273-18283.
• Balsalobre-Lorente, D., Ibáñez-Luzón, L., Usman, M., & Shahbaz, M. (2022). The Environmental Kuznets Curve, Based on the Economic Complexity, and the Pollution Haven Hypothesis in PIIGS Countries. Renewable Energy, 185, 1441-1455.
• Barbier, E. (2000). Rural Poverty and Natural Resource Degradation, In Rural Poverty in Latin America. London: Palgrave Macmillan.
• Barış-Tüzemen, Ö., & Tüzemen, S. (2022). The Impact of Foreign Direct Investment and Biomass Energy Consumption on Pollution in BRICS Countries: A Panel Data Analysis. Global Journal of Emerging Market Economies, 76-92. Birdsall, N., & Wheeler, D. (1993). Trade Policy and Industrial Pollution in Latin America: Where Are the Pollution Havens?. The Journal of Environment & Development, 2(1), 137-149.
• Breusch, 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), 239-253.
• Bulus, G. C., & Koc, S. (2021). The Effects of FDI and Government Expenditures on Environmental Pollution in Korea: The Pollution Haven Hypothesis Revisited. Environmental Science and Pollution Research, 28(28), 38238-38253.
• 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(29), 38563-38572.
• Cansino, J. M., Román-Collado, R., & Molina, J. C. (2019). Quality of Institutions, Technological Progress, and Pollution Havens in Latin America. An Analysis of the Environmental Kuznets Curve Hypothesis. Sustainability, 11(13), 1-20. Chakravarty, D., & Mandal, S. K. (2016). Estimating the Relationship between Economic Growth and Environmental Quality for the BRICS Economies-A Dynamic Panel Data Approach. The Journal of Developing Areas, 50(5), 119-130.
• Chen, Q., & Taylor, D. (2020). Economic Development and Pollution Emissions in Singapore: Evidence in Support of the Environmental Kuznets Curve Hypothesis and Its Implications for Regional Sustainability. Journal of Cleaner Production, 243, 118637, 1-11.
• Cole, M. A. (2004). Trade, the Pollution Haven Hypothesis and the Environmental Kuznets Curve: Examining the Linkages. Ecological Economics, 48(1), 71-81.
• Cole, M. A., Rayner, A. J., & Bates, J. M. (1997). The Environmental Kuznets Curve: An Empirical Analysis. Environment and Development Economics, 2(4), 401-416.
• Danish, & Wang, Z. (2019). Does Biomass Energy Consumption Help to Control Environmental Pollution? Evidence from BRICS Countries. Science of the Total Environment, 670, 1075-1083. Dinda, S. (2004). Environmental Kuznets Curve Hypothesis: A Survey. Ecological Economics, 49(4), 431-455.
• Emirmahmutoglu, F., & Kose, N. (2011). Testing for Granger Causality in Heterogeneous Mixed Panels. Economic Modelling, 28(3), 870-876.
• GFN. (2022). Global Footprint Network. https://data.footprintnetwork.org (Erişim Tarihi: 07.01.2022).
• Gill, F. L., Viswanathan, K. K., & Karim, M. Z. A. (2017). A Test of Pollution Haven Hypothesis (PHH) in the Environmental Kuznets Curve (EKC) Framework in Selected ASEAN Countries. Journal of Governance and Development Vol, 13(2), 111-134.
• Gill, F. L., Gill, A. R., Viswanathan, K. K., & Karim, M. Z. B. A. (2020). Analysis of Pollution Haven Hypothesis (PHH) and Environmental Kuznets Curve (EKC) in Selected Association of South-East Asian Nations (ASEAN) Countries. Review of Economics and Development Studies, 6(1), 83-95.
• Grossman, G. M., & Krueger, A. B. (1991). Environmental Impacts of a North American Free Trade Agreement. NBER Working Papers Series, 1–39.
• Grossman, G. M., & Krueger, A. B. (1995). Economic Growth and the Environment. The Quarterly Journal of Economics, 110(2), 353–377.
• Guzel, A. E., & Okumus, İ. (2020). Revisiting the Pollution Haven Hypothesis in ASEAN-5 Countries: New Insights from Panel Data Analysis. Environmental Science and Pollution Research, 27(15), 18157-18167.
• Gyamfi, B. A., Adebayo, T. S., Bekun, F. V., Agyekum, E. B., Kumar, N. M., Alhelou, H. H., & Al-Hinai, A. (2021). Beyond Environmental Kuznets Curve and Policy Implications to Promote Sustainable Development in the Mediterranean. Energy Reports, 7, 6119-6129.
• Karimov, M. (2020). An Empirical Analysis of the Relationship among Foreign Direct Investment, Gross Domestic Product, CO2 Emissions, Renewable Energy Contribution in the Context of the Environmental Kuznets Curve and Pollution Haven Hypothesis Regarding Turkey. European Journal of Formal Sciences and Engineering, 3(2), 23-42.
• Kearsley, A., & Riddel, M. (2010). A Further Inquiry into the Pollution Haven Hypothesis and the Environmental Kuznets Curve. Ecological Economics, 69(4), 905-919.
• Khan, A., Chenggang, Y., Xue Yi, W., Hussain, J., Sicen, L., & Bano, S. (2021). Examining the Pollution Haven, and Environmental Kuznets Hypothesis for Ecological Footprints: An Econometric Analysis of China, India, and Pakistan. Journal of the Asia Pacific Economy, 26(3), 462-482.
• Lee, J. W. (2013). The Contribution of Foreign Direct Investment to Clean Energy Use, Carbon Emissions and Economic Growth. Energy Policy, 55, 483-489.
• Li, W., Qiao, Y., Li, X., & Wang, Y. (2022). Energy Consumption, Pollution Haven Hypothesis, and Environmental Kuznets Curve: Examining the Environment–Economy Link in Belt and Road Initiative Countries. Energy, 239, 122559, 1-12.
• Liu, J., Qu, J., & Zhao, K. (2019). Is China's Development Conforms to the Environmental Kuznets Curve Hypothesis and the Pollution Haven Hypothesis?. Journal of Cleaner Production, 234, 787-796.
• 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, 123208, 1-11.
• McCoskey, S., & Kao, C. (1998). A Residual-Based Test of the Null of Cointegration in Panel Data. Econometric Reviews, 17(1), 57-84.
• Menyah, K., Nazlioglu, S., & Wolde-Rufael, Y. (2014). Financial Development, Trade Openness and Economic Growth in African Countries: New Insights from a Panel Causality Approach. Economic Modelling, 37, 386-394.
• Mesagan, E. P., Isola, W. A., & Ajide, K. B. (2019). The Capital Investment Channel of Environmental Improvement: Evidence from BRICS. Environment, Development and Sustainability, 21(4), 1561-1582.
• Mohanty, S., & Sethi, N. (2021). The Energy Consumption-Environmental Quality Nexus in BRICS Countries: The Role of Outward Foreign Direct Investment. Environmental Science and Pollution Research, 1-17.
• Murthy, K. V., & Gambhir, S. (2018). Analyzing Environmental Kuznets Curve and Pollution Haven Hypothesis in India in the Context of Domestic and Global Policy Change. Australasian Accounting, Business and Finance Journal, 12(2), 134-156.
• Nawaz, S. M. N., Alvi, S., & Akmal, T. (2021). The Impasse of Energy Consumption Coupling with Pollution Haven Hypothesis and Environmental Kuznets Curve: A Case Study of South Asian Economies. Environmental Science and Pollution Research, 28(35), 48799-48807.
• Panayotou, T. (1993). Empirical Tests and Policy Analysis of Environmental Degradation at Different Stages of Economic Development. International Labour Organization, 1–42.
• Pao, H. T., & Tsai, C. M. (2011). Multivariate Granger Causality between CO2 Emissions, Energy Consumption, FDI (Foreign Direct Investment) and GDP (Gross Domestic Product): Evidence from a Panel of BRIC (Brazil, Russian Federation, India, and China) countries. Energy, 36(1), 685-693.
• Pesaran, M. H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. Institute for the Study of Labor.
• Pesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967-1012.
• 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.
• Pesaran, M. H., & Yamagata, T. (2008). Testing Slope Homogeneity in Large Panels. Journal of Econometrics, 142(1), 50–93.
• Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A Bias‐Adjusted LM Test of Error Cross‐Section Independence. The Econometrics Journal, 11(1), 105–127.
• Polloni-Silva, E., Ferraz, D., Camioto, F. D. C., Rebelatto, D. A. D. N., & Moralles, H. F. (2021). Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities. Sustainability, 13(8), 4114.
• Pradhan, A. K., Sachan, A., Sahu, U. K., & Mohindra, V. (2022). Do Foreign Direct Investment Inflows Affect Environmental Degradation in BRICS Nations?. Environmental Science and Pollution Research, 29(1), 690-701.
• Rafique, M. Z., Li, Y., Larik, A. R., & Monaheng, M. P. (2020). The Effects of FDI, Technological Innovation, and Financial Development on CO2 Emissions: Evidence from the BRICS Countries. Environmental Science and Pollution Research, 27(19), 23899-23913.
• Rahman, Z. U., Chongbo, W., & Ahmad, M. (2019). An (a) Symmetric Analysis of the Pollution Haven Hypothesis in the Context of Pakistan: A Non-Linear Approach. Carbon Management, 10(3), 227-239.
• Rana, R., & Sharma, M. (2019). Dynamic Causality Testing for EKC Hypothesis, Pollution Haven Hypothesis and International Trade in India. The Journal of International Trade & Economic Development, 28(3), 348-364.
• Rees, W. E. (1992). Ecological Footprints and Appropriated Carrying Capacity: What Urban Economics Leaves Out. Environment & Urbanization, 4(2), 121–130.
• Selden, T. M., & Song, D. (1994). Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?. Journal of Environmental Economics and Management, 27(2), 147–162.
• Shafik, N., & Bandyopadhyay, S. (1992). Economic Growth and Environmental Quality: Time–Series and Cross–Country Evidence. World Bank Publications.
• Shaheen, F., Zaman, K., Lodhi, M. S., Nassani, A. A., Haffar, M., & Abro, M. M. Q. (2022). Do Affluent Nations Value a Clean Environment and Preserve It? Evaluating the N-Shaped Environmental Kuznets Curve. Environmental Science and Pollution Research, 1-19.
• Solarin, S. A. (2019). Convergence in CO2 Emissions, Carbon Footprint and Ecological Footprint: Evidence from OECD Countries. Environmental Science and Pollution Research, 26(6), 6167–6181.
• Solarin, S. A., Al-Mulali, U., Musah, I., & Ozturk, I. (2017). Investigating the Pollution Haven Hypothesis in Ghana: An Empirical Investigation. Energy, 124, 706-719.
• Solarin, S. A., & Bello, M. O. (2018). Persistence of Policy Shocks to an Environmental Degradation Index: The Case of Ecological Footprint in 128 Developed and Developing Countries. Ecological Indicators, 89, 35-44.
• Stern, D. I. (1998). Progress on the Environmental Kuznets Curve?. Environment and Development Economics, 3(2), 173-196.
• Tamazian, A., Chousa, J. P., & Vadlamannati, K. C. (2009). Does Higher Economic and Financial Development Lead to Environmental Degradation: Evidence from BRIC Countries. Energy Policy, 37(1), 246-253.
• Taylor, M. S. (2005). Unbundling the Pollution Haven Hypothesis. Advances in Economic Analysis & Policy, 4(2), 1-29.
• Toda, H. Y., & Yamamoto, T. (1995). Statistical Inference in Vector Autoregressions with Possibly Integrated Processes. Journal of Econometrics, 66(1-2), 225-250.
• UNFCCC. (2017). United Nations Climate Change Annual Report, United Nations Framework Convention on Climate Change. https://unfccc.int/resource/annu alreport/ (Erişim Tarihi: 17.01.2022).
• Vincent, J. R. (1997). Testing for Environmental Kuznets Curves Within a Developing Country. Environment and Development Economics, 2(4), 417–431.
• Wachernagel, M., & Rees, W. (1996). Our Ecological Footprint: Reducing Human Impact on the Earth. New Society Publishers, 1-29. Ward, J. D., Sutton, P. C., Werner, A. D., Costanza, R., Mohr, S. H., & Simmons, C. T. (2016). Is Decoupling GDP Growth from Environmental Impact Possible?. Plus One, 11(10), 1-14.
• Westerlund, J. (2007). Estimating Cointegrated Panels with Common Factors and the Forward Rate Unbiasedness Hypothesis. Journal of Financial Econometrics, 5(3), 491-522.
• Westerlund, J., & Edgerton, D. L. (2007). A Panel Bootstrap Cointegration Test. Economics Letters, 97(3), 185-190.
• WDI. (2022). World Development Indicators. https://databank.worldbank.org (Erişim Tarihi: 02.01.2022).
• Xu, B., & Lin, B. (2016). Reducing Carbon Dioxide Emissions in China's Manufacturing Industry: A Dynamic Vector Autoregression Approach. Journal of Cleaner Production, 131, 594-606.
• Zhou, Y., Sirisrisakulchai, J., Liu, J., & Sriboonchitta, S. (2019). Factors Affecting Carbon Emission in the G7 and BRICS Countries: Evidence from Quantile Regression. In International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, 406-417.
• Zhu, H., Xia, H., Guo, Y., & Peng, C. (2018). The Heterogeneous Effects of Urbanization and Income Inequality on CO2 Emissions in BRICS Economies: Evidence from Panel Quantile Regression. Environmental Science and Pollution Research, 25(17), 17176-17193.
• Zugravu-Soilita, N. (2017). How Does Foreign Direct Investment Affect Pollution? Toward a Better Understanding of the Direct and Conditional Effects. Environmental and Resource Economics, 66(2), 293-338.