Open Access Journal Article

ARDL and VECM Investigation of the Environmental Kuznets Curve Hypothesis in Egypt, India, Mexico, Pakistan, Thailand, and Turkey: Financial Development, Globalization, and Government Expenditure Implications for Sustainable Development

by Takashi Fukuda a,* orcid
a
Independent researcher, Toroku, Chuo Ward, Kumamoto 8620970, Japan
*
Author to whom correspondence should be addressed.
ETE  2024, 13; 2(2), 13; https://doi.org/10.58567/ete02020003
Received: 10 February 2024 / Accepted: 6 April 2024 / Published Online: 11 June 2024

Abstract

The present paper empirically examines the validity of the environmental Kuznets curve (EKC) hypothesis, which posits an inverted U-shaped relationship between CO2 emissions and economic growth, in Egypt, India, Mexico, Pakistan, Thailand, and Turkey for the period 1970-2020. The EKC validity is highly debated due to varying results across countries. This study is significant to addresses this controversy by estimating the EKC's robustness while considering the influence of financial development, globalization, and government expenditure. We employ two cointegration techniques, the autoregressive distributed lag (ARDL) and vector error correction model (VECM), also considering potential structural breaks in the data. Out key findings indicate that the EKC hypothesis is supported in India, Pakistan, and Turkey, with carbon emissions eventually declining after reaching a peak. The hypothesis is not supported in Egypt and Thailand, where emissions rise monotonically with economic growth. In Mexico, the results are mixed, with ARDL suggesting a U-shaped relationship and VECM supporting the EKC. From our empirical analysis of the EKC hypothesis, we derive the following policy implications: 1) countries should adopt comprehensive policy strategies that integrate these goals and fully consider the long-term environmental and societal impacts of their decisions; 2) countries should invest heavily in research and development to accelerate the creation of new technologies that can effectively reduce carbon emissions; and 3) countries must actively raise awareness about the environmental repercussions of economic growth.


Copyright: © 2024 by Fukuda. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Share and Cite

ACS Style
Fukuda, T. ARDL and VECM Investigation of the Environmental Kuznets Curve Hypothesis in Egypt, India, Mexico, Pakistan, Thailand, and Turkey: Financial Development, Globalization, and Government Expenditure Implications for Sustainable Development. Energy Technologies and Environment, 2024, 2, 13. https://doi.org/10.58567/ete02020003
AMA Style
Fukuda T. ARDL and VECM Investigation of the Environmental Kuznets Curve Hypothesis in Egypt, India, Mexico, Pakistan, Thailand, and Turkey: Financial Development, Globalization, and Government Expenditure Implications for Sustainable Development. Energy Technologies and Environment; 2024, 2(2):13. https://doi.org/10.58567/ete02020003
Chicago/Turabian Style
Fukuda, Takashi 2024. "ARDL and VECM Investigation of the Environmental Kuznets Curve Hypothesis in Egypt, India, Mexico, Pakistan, Thailand, and Turkey: Financial Development, Globalization, and Government Expenditure Implications for Sustainable Development" Energy Technologies and Environment 2, no.2:13. https://doi.org/10.58567/ete02020003
APA style
Fukuda, T. (2024). ARDL and VECM Investigation of the Environmental Kuznets Curve Hypothesis in Egypt, India, Mexico, Pakistan, Thailand, and Turkey: Financial Development, Globalization, and Government Expenditure Implications for Sustainable Development. Energy Technologies and Environment, 2(2), 13. https://doi.org/10.58567/ete02020003

Article Metrics

Article Access Statistics

References

  1. Adebayo, T. S., Kartal, M. T., Ağa, M., & Al-Faryan, M. A. S. (2023). Role of country risks and renewable energy consumption on environmental quality: Evidence from MINT countries. Journal of Environmental Management, 327(1 February), 116884. https://doi.org/10.1016/j.jenvman.2022.116884
  2. Alola, A. A. & Donve, U. T. (2021). Environmental implication of coal and oil energy utilization in Turkey: is the EKC hypothesis related to energy? Management of Environmental Quality, 32(3), 543-559. https://doi.org/10.1108/MEQ-10-2020-0220
  3. Arif, M., Chenghu, Z., Olah, J., Shehzad, K., & Ahmad, M. (2022). Specifying the domineering role of governance in the long term environmental excellence: a case study of Pakistan. SAGE Open, 12(3). https://doi.org/10.1177/21582440221121731
  4. Bernauer, T., Böhmelt, T., & Koubi, V. (2013). Is there a democracy–civil society paradox in global environmental governance? Global Environmental Politics,13(1), 88- 107. https://doi.org/10.1162/GLEP_a_00155
  5. Bese, E. & Salih, K. (2019). Testing the environmental Kuznets curve hypothesis: evidence from Egypt, Kenya and Turkey. International Journal of Energy Economics and Policy 9(6), S. 479 - 491. https://doi.org/10.32479/ijeep.8638
  6. Charemza, W. W., & Deadman, D. F. (1997). New directions in econometric practice (2nd ed.). Edward Elgar Publishing.
  7. Copeland, B. R., & Taylor, M. S. (1994). North-South trade and the environment. Quarterly Journal of Economics, 109(3), 755–787. https://doi.org/10.2307/2118421
  8. Copeland, B. R., & Taylor, M. S. (2003). Trade, growth and the environment [NBER Working Paper No. 9823]. National Bureau of Economic Research. https://www.nber.org/papers/w9823
  9. Destek, M. A., & Okumus, I. (2019). Does pollution haven hypothesis hold in newly industrialized countries?: Evidence from ecological footprint. Environmental Science and Pollution Research, 26(23), 23689–23695. https://doi.org/10.1007/s11356-019-05614-z
  10. El-Aasar1, K. M. & Hanafy, S. H. (2019). Investigating the environmental Kuznets curve hypothesis in Egypt: the role of renewable energy and trade in mitigating GHGs. International Journal of Energy Economics and Policy, 8(3), 177-184. Retrieved from https://www.econjournals.com/index.php/ijeep/article/view/6316
  11. Elliott, G., Rothenberg, T. J. & Stock, J. H. (1996). Efficient test for an autoregressive unit root. Econometrica, 64(4), 813-836. https://doi.org/10.2307/2171846
  12. Enders, W. (2014). Applied Econometric Time Series (4th ed.). Wiley.
  13. Esty, D. C. & Porter, M. E. (1998). Industrial ecology and competitiveness: strategic implications for the firm. Journal of Industrial Ecology, 2(1), 35-43. https://doi.org/10.1162/jiec.1998.2.1.35
  14. Fukuda, T. (2020). Mexico’s Finance-growth nexus with trade openness, FDI and portfolio investment: evidence from VECM cointegration analysis. Ecos De Economía, 23(49), 29–44. https://doi.org/10.17230/ecos.2019.49.2
  15. Fukuda, T. (2023). Empirical assessment of the environmental Kuznets curve hypothesis in Indonesia, Malaysia, the Philippines, and Thailand using the ARDL and FMOLS techniques. Energy Economics Letters, 10(1), 19-34. https://doi.org/10.55493/5049.v10i1.4712
  16. Genç, M. C., Ekinci, A., & Sakarya, B. (2022). The impact of output volatility on CO2 emissions in Turkey: testing EKC hypothesis with Fourier stationarity test. Environmental Science and Pollution Research, 29(2), 3008–3021. https://doi.org/10.1007/s11356-021-15448-3
  17. Greene, W. H. (2011). Econometric Analysis (7th ed.). Pearson Education.
  18. Grossman, G. M., & Krueger, A. B. (1991). Environmental impacts of a North American Free Trade Agreement [NBER Working Paper No. 3914]. National Bureau of Economic Research. https://www.nber.org/papers/w3914
  19. Gygli, S., Haelg, F., Potrafke, N., & Sturm, J. (2019). The KOF Globalisation Index – Revisited. Review of International Organizations, 14(3), 543–574. https://doi.org/10.1007/s11558-019-09344-2
  20. Hashmi, S. H., Fan, H., Fareed, Z., & Bannya, R. (2020). Testing non-linear nexus between service sector and CO2 emissions in Pakistan. Energies,13(3), 526. https://doi.org/10.3390/en13030526
  21. Hussain, H. I., Haseeb, M., & Kamarudin, H., Dacko-Pikiewicz, Z., & Szczepańska-Woszczyna, K. (2021). The role of globalization, economic growth and natural resources on the ecological footprint in Thailand: evidence from nonlinear causal estimations. Process, 9(7), 1103. https://doi.org/10.3390/pr9071103
  22. Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. https://doi.org/10.1016/0165-1889(88)90041-3
  23. Johansen, S., Juselius, K. (1992). Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK. Journal of Econometrics, 53(1-3), 211-244. https://doi.org/10.1016/0304-4076(92)90086-7
  24. Johansen, S., Mosconi, R., & Nielsen, B. (2000). Cointegration analysis in the presence of structural breaks in the deterministic trend. Econometrics Journal, 3(2), 216-249. https://doi.org/10.1111/1368-423x.00047
  25. Khan, A., Safdar, S., & Nadeem, H. (2023). Decomposing the effect of trade on environment: a case study of Pakistan. Environmental Science and Pollution Research, 30(2), 3817–3834. https://doi.org/10.1007/s11356-022-21705-w
  26. Kilavuz, E. & Dogan, I. (2021). Economic growth, openness, industry and CO2 modelling: are regulatory policies important in Turkish economies? International Journal of Low-Carbon Technologies, 16(2), 476-487. https://doi.org/10.1093/ijlct/ctaa070
  27. Kim, H. S., & Baek, J. (2011). The environmental consequences of economic growth revisited. Economics Bulletin, 31(2), 1198-1211.
  28. KOF Swiss Economic Institute. (2023, December 24). KOF Globalisation Index. https://www.kof.ethz.ch/en/forecasts-and-indicators/indicators/kof-globalisation-index.html
  29. Le, H. P., & Ozturk, I. (2020). The impacts of globalization, financial development, government expenditures, and institutional quality on CO2 emissions in the presence of environmental Kuznets curve. Environmental Science and Pollution Research, 27(18), 22680–22697. https://doi.org/10.1007/s11356-020-08812-2
  30. Leal, P. H. & Marques, A. C. (2022). The evolution of the environmental Kuznets curve hypothesis assessment: a literature review under a critical analysis perspective. Heliyon, 8(11), E11521.
  31. Lee, J., & Strazicich, M. S. (2003). Minimum LM unit root test with two structural breaks. Review of Economics and Statistics, 85(4), 1082-1089. https://doi.org/10.1162/003465303772815961
  32. Lee, J., & Strazicich, M. S. (2004). Minimum LM unit root test with one structural break. Appalachian State University Working Paper. Boone: Appalachian State University. Retrieved from https://econ.appstate.edu/RePEc/pdf/wp0417.pdf
  33. Mahmood, H., Furqan, M., Alkhateeb, T. T. Y., & Fawaz, M. M. (2019). Testing the environmental Kuznets curve in Egypt: role of foreign investment and trade. International Journal of Energy Economics and Policy, 9(2), 225-228. https://doi.org/10.32479/ijeep.7271
  34. Miranda, R. A., Hausler, R., Lopez, R. R., Glaus, M., & Pasillas-Diaz, J. R. (2020). Testing the environmental Kuznets curve hypothesis in North America’s Free Trade Agreement (NAFTA) countries. Energies, 13(12), 3104. https://doi.org/10.3390/en13123104
  35. Mohammed, A. M. S., Guo. P., Haq, I., Pan, G., & Khan, A. (2019). Do government expenditure and financial development impede environmental degradation in Venezuela? Plos One, 14(1), e0210255. https://doi.org/10.1371/journal.pone.0210255
  36. Nordhaus, W. D. (2008). A question of balance: weighing the options on global warming policies. Yale University Press.
  37. Our World in Data. (2023, December 24). Per capita CO₂ emissions. Our World in Data. https://ourworldindata.org/explorers/co2
  38. Paweenawat, S. W. & Plyngam, S. (2017). Does the causal relationship between renewable energy consumption, CO2 emissions, and economic growth exist in Thailand?: an ARDL approach. Economics Bulletin, 37(2), 697-711.
  39. Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. https://doi.org/10.1002/jae.616
  40. Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335
  41. Rafindadi, A. A., and Usman, O. (2019). Globalization, energy use, and environmental degradation in South Africa: startling empirical evidence from the Maki-cointegration test. Journal of Environmental Management, 244(August 2019), 265-275. https://doi.org/10.1016/j.jenvman.2019.05.048
  42. Rana, R. & Sharma, M. (2019). Dynamic causality testing for EKC hypothesis, pollution haven hypothesis and international trade in India. Journal of International Trade and Economic Development, 28(3), 348-364. https://doi.org/10.1080/09638199.2018.1542451
  43. Rayhan, I., Al Nahian, M. A., & Siddika, A. (2020). Re-evaluating the environmental Kuznets curve and environmental Phillips curve in Bangladesh: an augmented ARDL bounds test approach with a structural break. Jahangirnagar Economic Review, 31, 109–134. https://www.researchgate.net/publication/366557814
  44. Ridzuan, R. A., Albani, A., Latiff, A. R. A., Razak, M. I. M., & Murshidi, M. H. (2020). The impact of energy consumption based on fossil fuel and hydroelectricity generation towards pollution in Malaysia, Indonesia and Thailand. International Journal of Energy Economics and Policy, 10(1), 215-227. https://doi.org/10.32479/ijeep.8140
  45. Sadorsky, P. (2013). Financial development and energy consumption in Central and Eastern European frontier economies. Energy Policy, 39(2), 999-1006. https://doi.org/10.1016/j.enpol.2010.11.034
  46. Seri C, & Fernandez, A. D. J. (2021). The relationship between economic growth and environment: testing the EKC hypothesis for Latin American countries. https://doi.org/10.48550/arXiv.2105.11405
  47. Stern, D. I. (2004). The rise and fall of the environmental Kuznets curve. World Development, 32(8), 1419-1439. https://doi.org/10.1016/j.worlddev.2004.03.004
  48. Sultan1, Z. A., Alkhateeb, T. T. Y., & Adow, A. H. (2021). Verifying the environmental Kuznets curve hypothesis in the case of India. International Journal of Energy Economics and Policy, 11(2), 127-132. https://doi.org/10.32479/ijeep.10392
  49. Toda, H. Y. & Phillips, P. C. B. (1993). Vector autoregression and causality. Econometrica, 61(6), 1367–1393.
  50. United Nations. (2015). Paris agreement. United Nations Climate Change. https://unfccc.int/sites/default/files/english_paris_agreement.pdf
  51. United Nations. (2023, December 24). Sustainable development. United Nations, Department of Economic and Social Affairs. https://sdgs.un.org/
  52. United Nations. (2024, March 3). UN Climate Change Conference - United Arab Emirates. United Natons Climate Change. https://unfccc.int/cop28
  53. Villanthenkodath, M. A., Gupta, M., Saini, S., & Sahoo, M. (2021). Impact of economic structure on the environmental Kuznets curve (EKC) hypothesis in India. Journal of Economic Structures, 10(28). https://doi.org/10.1186/s40008-021-00259-z
  54. Ward, H., Cao. X., & Mukherjee, B. (2014). State capacity and the environmental investment gap in authoritarian states. Comparative Political Studies, 47(3), 309–343. https://doi.org/10.1177/0010414013509569
  55. World Bank. (2023, December 24). World Development Indicators. DataBank. https://databank.worldbank.org/source/world-development-indicators
  56. Zafar, M. W., Zaidi, S. A. H., Mansoor, S., Sinha, A., & Qin, Q. (2022). ICT and education as determinants of environmental quality: the role of financial development in selected Asian countries. Technological Forecasting and Social Change, 177(April 2022), 121547. https://doi.org/10.1016/j.techfore.2022.121547
  57. Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business and Economic Statistics, 10(3), 251-270. https://doi.org/10.2307/1391541