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International Transfer of Ecological Footprint: An Analysis for the Countries with Different Income Levels

Year 2025, Volume: 12 Issue: 1, 293 - 305, 31.03.2025
https://doi.org/10.30798/makuiibf.1511290

Abstract

Environmental repercussions driven by economic activities have caused developed nations to incur higher costs depending on the adherence to environmental standards adopted along with public pressure. Because of their lower environmental standards, developing countries have secured a competitive cost edge in polluting sectors, attracting foreign direct investment and triggering debates about pollution havens. Such a scenario poses a potential risk of amplified carbon releases (CR) in developing nations. However, foreign direct investments originating from developed nations can enhance management practices, disseminate environmentally friendly advanced technologies, and ultimately reduce CR in developing nations. The primary aim of this study is to examine the effects of economic variables that seem to contribute to the carbon footprint, utilizing data from 10 developed and developing countries. This study investigates the impacts of foreign direct investment, national income, and export variables on the ecological footprint during the period spanning from 2000 to 2022, making use of the CS-ARDL method. The results revealed that the ecological footprint is affected by foreign direct investments, increased national income, and the expansion of exports. It is essential to raise environmental standards to an international level and promote eco-friendly production and growth approaches to reduce the ecological footprint and protect environmental values globally, not just in developed countries. Moreover, policymakers must ensure considering environmental values in foreign direct investments in developing countries, supporting this through regulations, and preventing the exploitation of low environmental quality for export advantages.

Ethical Statement

Ethics Committee approval was not required for this study. The authors declare that the study was conducted in accordance with research and publication ethics. The authors confirm that no part of the study was generated, either wholly or in part, using Artificial Intelligence (AI) tools. The authors affirm that there are no financial conflicts of interest involving any institution, organization, or individual associated with this article. Additionally, there are no conflicts of interest among the authors. The authors affirm that they contributed equally to all aspects of the research.

References

  • Al-mulali, U., & Foon Tang, C. (2013). Investigating the validity of pollution haven hypothesis in the gulf cooperation council (GCC) countries. Energy Policy, 60, 813-819. https://doi.org/10.1016/j.enpol.2013.05.055
  • Aliyu, M. A. (2005, June 9–11). Foreign direct investment and the environment: Pollution haven hypothesis revisited. In Eighth Annual Conference on Global Economic Analysis, Lübeck, Germany.
  • Arslan, H. M., Bilal & Bashir, M. (2021). Contemporary research on spillover effects of COVID-19 in stock markets. A systematic and bibliometric review. In The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic. MDPI. https://doi.org/10.3390/ecerph-3-09103
  • Balsalobre-Lorente, D., Gokmenoglu, K. K., Taspinar, N., & Cantos-Cantos, J. M. (2019). An approach to the pollution haven and pollution halo hypotheses in MINT countries. Environmental Science and Pollution Research, 26(22), 23010–23026. https://doi.org/10.1007/s11356-019-05446-x
  • Bayraktutan, Y. (2022). Uluslararası iktisat. Umuttepe Y.
  • Chudik, A., & Pesaran, M. H. (2013). Large panel data models with cross-sectional dependence: A survey. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2319840
  • Chudik, A., & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), 393-420. https://doi.org/10.1016/j.jeconom.2015.03.007
  • Chudik, A., Mohaddes, K., Pesaran, M. H., & Raissi, M. (2016). Long-run effects in large heterogeneous panel data models with cross-sectionally correlated errors. In Advances in Econometrics (pp. 85-135). Emerald Group Publishing Limited. https://doi.org/10.1108/s0731-905320160000036013
  • Cole, M. A. (2004). Trade, the pollution haven hypothesis and the environmental Kuznets curve: Examining the linkages. Ecological Economics, 48(1), 71-81. https://doi.org/10.1016/j.ecolecon.2003.09.007
  • 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
  • Farooq, T. H., Xincheng, X., Shakoor, A., Rashid, M. H. U., Bashir, M. F., Nawaz, M. F., Kumar, U., Shahzad, S. M., & Yan, W. (2021). Spatial distribution of carbon dynamics and nutrient enrichment capacity in different layers and tree tissues of Castanopsis eyeri natural forest ecosystem. Environmental Science and Pollution Research, 29, 10250-10262. https://doi.org/10.1007/s11356-021-16400-1
  • Haisheng, Y., Jia, J., Yongzhang, Z., & Shugong, W. (2005). The impact on environmental Kuznets curve by trade and foreign direct investment in China. Chinese Journal of Population Resources and Environment, 3(2), 14-19. https://doi.org/10.1080/10042857.2005.10677410
  • He, J. (2006). Pollution haven hypothesis and environmental impacts of foreign direct investment: The case of industrial emission of sulfur dioxide (SO2) in Chinese provinces. Ecological Economics, 60(1), 228-245. https://doi.org/10.1016/j.ecolecon.2005.12.008
  • Honglei, C., Xiaorong, Z., & Qiufeng, C. (2011). Export-oriented economy & environmental pollution in China: The empirical study by simultaneous equation model. Energy Procedia, 5, 884-889. https://doi.org/10.1016/j.egypro.2011.03.156
  • Mike, F. (2020). Kirlilik sığınağı hipotezi türkiye için geçerli mi ARDL sınır testi yaklaşımından bulgular. Doğuş Üniversitesi Dergisi, 21(2), 107-121. https://doi.org/10.31671/dogus.2020.452
  • Musah, M., Mensah, I. A., Alfred, M., Mahmood, H., Murshed, M., Omari-Sasu, A. Y., Boateng, F., Nyeadi, J. D., & Coffie, C. P. K. (2022). Reinvestigating the pollution haven hypothesis: The nexus between foreign direct investments and environmental quality in G-20 countries. Environmental Science and Pollution Research, 29, 31330–31347. https://doi.org/10.1007/s11356-021-17508-0
  • Narayan, P. K., & Narayan, S. (2010). Carbon dioxide emissions and economic growth: Panel data evidence from developing countries. Energy Policy, 38(1), 661–666. https://doi.org/10.1016/j.enpol.2009.09.005
  • Neequaye, N. A., & Oladi, R. (2015). Environment, growth, and FDI revisited. International Review of Economics & Finance, 39, 47–56. https://doi.org/10.1016/j.iref.2015.06.002
  • Liobikienė, G., & Butkus, M. (2019). Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions. Renewable Energy, 132, 1310–1322. https://doi.org/10.1016/j.renene.2018.09.032
  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.572504
  • 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., Ullah, A., & Yamagata, T. (2008). A bias-adjusted LM test of error cross-section independence. The Econometrics Journal, 11(1), 105-127. https://doi.org/10.1111/j.1368-423x.2007.00227.x
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010
  • Rafindadi, A. A., Muye, I. M., & Kaita, R. A. (2018). The effects of FDI and energy consumption on environmental pollution in predominantly resource-based economies of the GCC. Sustainable Energy Technologies and Assessments, 25, 126-137. https://doi.org/10.1016/j.seta.2017.12.008
  • Sapkota, P., & Bastola, U. (2017). Foreign direct investment, income, and environmental pollution in developing countries: Panel data analysis of Latin America. Energy Economics, 64, 206-212. https://doi.org/10.1016/j.eneco.2017.04.001
  • Shahbaz, M., Nasreen, S., Abbas, F., & Anis, O. (2015). Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries?. Energy Economics, 51, 275-287
  • Shahbaz, M., Nasreen, S., & Afza, T. (2011). Environmental consequences of economic growth and foreign direct investment: Evidence from panel data analysis. MPRA Paper No. 32547. University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/32547/
  • Singhania, M., & Saini, N. (2021). Demystifying pollution haven hypothesis: Role of FDI. Journal of Business Research, 123, 516-528. https://doi.org/10.1016/j.jbusres.2020.10.007
  • Terzi, H., & Pata, U. (2020). Is the Pollution Haven Hypothesis (PHH) valid for Turkey? Panoeconomicus, 67(1), 93-109. https://doi.org/10.2298/pan161229016t
  • Westerlund, J., & Edgerton, D. L. (2007). A panel bootstrap cointegration test. Economics Letters, 97(3), 185-190. https://doi.org/10.1016/j.econlet.2007.03.003
  • Westerlund, J. (2008). Panel cointegration tests of the Fisher effect. Journal of Applied Econometrics, 23(2), 193-233. https://doi.org/10.1002/jae.967

International Transfer of Ecological Footprint: An Analysis for the Countries with Different Income Levels

Year 2025, Volume: 12 Issue: 1, 293 - 305, 31.03.2025
https://doi.org/10.30798/makuiibf.1511290

Abstract

Environmental repercussions driven by economic activities have caused developed nations to incur higher costs depending on the adherence to environmental standards adopted along with public pressure. Because of their lower environmental standards, developing countries have secured a competitive cost edge in polluting sectors, attracting foreign direct investment and triggering debates about pollution havens. Such a scenario poses a potential risk of amplified carbon releases (CR) in developing nations. However, foreign direct investments originating from developed nations can enhance management practices, disseminate environmentally friendly advanced technologies, and ultimately reduce CR in developing nations. The primary aim of this study is to examine the effects of economic variables that seem to contribute to the carbon footprint, utilizing data from 10 developed and developing countries. This study investigates the impacts of foreign direct investment, national income, and export variables on the ecological footprint during the period spanning from 2000 to 2022, making use of the CS-ARDL method. The results revealed that the ecological footprint is affected by foreign direct investments, increased national income, and the expansion of exports. It is essential to raise environmental standards to an international level and promote eco-friendly production and growth approaches to reduce the ecological footprint and protect environmental values globally, not just in developed countries. Moreover, policymakers must ensure considering environmental values in foreign direct investments in developing countries, supporting this through regulations, and preventing the exploitation of low environmental quality for export advantages.

Ethical Statement

Ethics Committee approval was not required for this study. The authors declare that the study was conducted in accordance with research and publication ethics. The authors confirm that no part of the study was generated, either wholly or in part, using Artificial Intelligence (AI) tools. The authors affirm that there are no financial conflicts of interest involving any institution, organization, or individual associated with this article. Additionally, there are no conflicts of interest among the authors. The authors affirm that they contributed equally to all aspects of the research.

References

  • Al-mulali, U., & Foon Tang, C. (2013). Investigating the validity of pollution haven hypothesis in the gulf cooperation council (GCC) countries. Energy Policy, 60, 813-819. https://doi.org/10.1016/j.enpol.2013.05.055
  • Aliyu, M. A. (2005, June 9–11). Foreign direct investment and the environment: Pollution haven hypothesis revisited. In Eighth Annual Conference on Global Economic Analysis, Lübeck, Germany.
  • Arslan, H. M., Bilal & Bashir, M. (2021). Contemporary research on spillover effects of COVID-19 in stock markets. A systematic and bibliometric review. In The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic. MDPI. https://doi.org/10.3390/ecerph-3-09103
  • Balsalobre-Lorente, D., Gokmenoglu, K. K., Taspinar, N., & Cantos-Cantos, J. M. (2019). An approach to the pollution haven and pollution halo hypotheses in MINT countries. Environmental Science and Pollution Research, 26(22), 23010–23026. https://doi.org/10.1007/s11356-019-05446-x
  • Bayraktutan, Y. (2022). Uluslararası iktisat. Umuttepe Y.
  • Chudik, A., & Pesaran, M. H. (2013). Large panel data models with cross-sectional dependence: A survey. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2319840
  • Chudik, A., & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), 393-420. https://doi.org/10.1016/j.jeconom.2015.03.007
  • Chudik, A., Mohaddes, K., Pesaran, M. H., & Raissi, M. (2016). Long-run effects in large heterogeneous panel data models with cross-sectionally correlated errors. In Advances in Econometrics (pp. 85-135). Emerald Group Publishing Limited. https://doi.org/10.1108/s0731-905320160000036013
  • Cole, M. A. (2004). Trade, the pollution haven hypothesis and the environmental Kuznets curve: Examining the linkages. Ecological Economics, 48(1), 71-81. https://doi.org/10.1016/j.ecolecon.2003.09.007
  • 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
  • Farooq, T. H., Xincheng, X., Shakoor, A., Rashid, M. H. U., Bashir, M. F., Nawaz, M. F., Kumar, U., Shahzad, S. M., & Yan, W. (2021). Spatial distribution of carbon dynamics and nutrient enrichment capacity in different layers and tree tissues of Castanopsis eyeri natural forest ecosystem. Environmental Science and Pollution Research, 29, 10250-10262. https://doi.org/10.1007/s11356-021-16400-1
  • Haisheng, Y., Jia, J., Yongzhang, Z., & Shugong, W. (2005). The impact on environmental Kuznets curve by trade and foreign direct investment in China. Chinese Journal of Population Resources and Environment, 3(2), 14-19. https://doi.org/10.1080/10042857.2005.10677410
  • He, J. (2006). Pollution haven hypothesis and environmental impacts of foreign direct investment: The case of industrial emission of sulfur dioxide (SO2) in Chinese provinces. Ecological Economics, 60(1), 228-245. https://doi.org/10.1016/j.ecolecon.2005.12.008
  • Honglei, C., Xiaorong, Z., & Qiufeng, C. (2011). Export-oriented economy & environmental pollution in China: The empirical study by simultaneous equation model. Energy Procedia, 5, 884-889. https://doi.org/10.1016/j.egypro.2011.03.156
  • Mike, F. (2020). Kirlilik sığınağı hipotezi türkiye için geçerli mi ARDL sınır testi yaklaşımından bulgular. Doğuş Üniversitesi Dergisi, 21(2), 107-121. https://doi.org/10.31671/dogus.2020.452
  • Musah, M., Mensah, I. A., Alfred, M., Mahmood, H., Murshed, M., Omari-Sasu, A. Y., Boateng, F., Nyeadi, J. D., & Coffie, C. P. K. (2022). Reinvestigating the pollution haven hypothesis: The nexus between foreign direct investments and environmental quality in G-20 countries. Environmental Science and Pollution Research, 29, 31330–31347. https://doi.org/10.1007/s11356-021-17508-0
  • Narayan, P. K., & Narayan, S. (2010). Carbon dioxide emissions and economic growth: Panel data evidence from developing countries. Energy Policy, 38(1), 661–666. https://doi.org/10.1016/j.enpol.2009.09.005
  • Neequaye, N. A., & Oladi, R. (2015). Environment, growth, and FDI revisited. International Review of Economics & Finance, 39, 47–56. https://doi.org/10.1016/j.iref.2015.06.002
  • Liobikienė, G., & Butkus, M. (2019). Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions. Renewable Energy, 132, 1310–1322. https://doi.org/10.1016/j.renene.2018.09.032
  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.572504
  • 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., Ullah, A., & Yamagata, T. (2008). A bias-adjusted LM test of error cross-section independence. The Econometrics Journal, 11(1), 105-127. https://doi.org/10.1111/j.1368-423x.2007.00227.x
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010
  • Rafindadi, A. A., Muye, I. M., & Kaita, R. A. (2018). The effects of FDI and energy consumption on environmental pollution in predominantly resource-based economies of the GCC. Sustainable Energy Technologies and Assessments, 25, 126-137. https://doi.org/10.1016/j.seta.2017.12.008
  • Sapkota, P., & Bastola, U. (2017). Foreign direct investment, income, and environmental pollution in developing countries: Panel data analysis of Latin America. Energy Economics, 64, 206-212. https://doi.org/10.1016/j.eneco.2017.04.001
  • Shahbaz, M., Nasreen, S., Abbas, F., & Anis, O. (2015). Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries?. Energy Economics, 51, 275-287
  • Shahbaz, M., Nasreen, S., & Afza, T. (2011). Environmental consequences of economic growth and foreign direct investment: Evidence from panel data analysis. MPRA Paper No. 32547. University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/32547/
  • Singhania, M., & Saini, N. (2021). Demystifying pollution haven hypothesis: Role of FDI. Journal of Business Research, 123, 516-528. https://doi.org/10.1016/j.jbusres.2020.10.007
  • Terzi, H., & Pata, U. (2020). Is the Pollution Haven Hypothesis (PHH) valid for Turkey? Panoeconomicus, 67(1), 93-109. https://doi.org/10.2298/pan161229016t
  • Westerlund, J., & Edgerton, D. L. (2007). A panel bootstrap cointegration test. Economics Letters, 97(3), 185-190. https://doi.org/10.1016/j.econlet.2007.03.003
  • Westerlund, J. (2008). Panel cointegration tests of the Fisher effect. Journal of Applied Econometrics, 23(2), 193-233. https://doi.org/10.1002/jae.967
There are 31 citations in total.

Details

Primary Language English
Subjects Growth
Journal Section Research Articles
Authors

Erdal Alancıoğlu 0000-0002-5008-4957

Yusuf Bayraktutan 0000-0002-4453-3701

Maya Moalla 0000-0003-4076-2790

Early Pub Date March 28, 2025
Publication Date March 31, 2025
Submission Date July 5, 2024
Acceptance Date January 14, 2025
Published in Issue Year 2025 Volume: 12 Issue: 1

Cite

APA Alancıoğlu, E., Bayraktutan, Y., & Moalla, M. (2025). International Transfer of Ecological Footprint: An Analysis for the Countries with Different Income Levels. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 12(1), 293-305. https://doi.org/10.30798/makuiibf.1511290

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