Research Article
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Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach

Year 2024, Volume: 74 Issue: 2, 401 - 426, 31.12.2024
https://doi.org/10.26650/ISTJECON2023-1348087

Abstract

Ecological footprint calculations evaluate sustainability by examining natural resources. The ecological footprint obtained by calculating the number of natural resources per person provides information about the amount of waste produced as well as the natural resources consumed and examines the sustainability of living conditions in the world in this respect. The ecological footprint is one of the frequently encountered topics in the literature in terms of the analysis of environmental impacts. This study examines the factors influencing the Ecological Footprint in Turkey. Using annual data between 1980 and 2018, the relationship of renewable energy consumption, human capital and urbanization variables to the Ecological Footprint is examined. The Fractional Fourier Augmented Dickey Fuller Unit Root Test and the Fourier Autoregressive Distributed Lag Bound Test is used in the study. There is a statistically significant relationship between the renewable energy, human capital and urbanization variables and the Ecological Footprint. When the outputs obtained in the study are examined, it is seen that the variables affect the ecological footprint. The increased value of these variables can be used to explain why the Ecological Footprint increased. Increasing industrial activities due to globalization and technological developments, increasing vehicle traffic in cities due to population growth, unplanned urbanization and destruction of green areas due to the sheltering needs of the increasing population, inability of recycling facilities to adapt to the increasing population and unplanned waste management, etc. factors can increase the ecological footprint. However, as urbanization increases, if a correct plan is drawn by taking these factors into consideration, the negative correlation between the ecological footprint and urbanization can be explained. Within the determined plan; Wastewater management, protection of green areas, prevention of unplanned urbanization and efficient use of resources are explanatory at this point. The empirical findings have important policy implications. According to these policy implications, to offset the effects on the ecological footprint, educational activities to raise environmental awareness and adopt energy-efficient lifestyles should be given due importance, various incentives and supports should be implemented and a green-based lifestyle.

References

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  • Boluk, G., & Kaplan, R. (2022). Effectiveness of renewable energy incentives on sustainability: evidence from dynamic panel data analysis for the EU countries and Turkiye. Environmental Science and Pollution Research, 29(18), 26613-26630. https://doi.org/10.1007/s11356-021-17801-y google scholar
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  • Chen, Y., Lee, C.C., & Chen, M. (2022). Ecological footprint, human capital, and urbanization. Energy & Environment, 33(3). 487-510. https://doi.org/10.1177/0958305X211008610 google scholar
  • Destek, M. A., & Sinha, A. (2020). Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries. Journal of Cleaner Production, (242), 118537. https://doi. org/10.1016/j.jclepro.2019.118537 google scholar
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  • Gan, C., & Voda, M. (2023). Can green finance reduce carbon emission intensity? Mechanism and threshold effect. Environmental Science and Pollution Research, (30), 640-653. google scholar
  • Hassan, T., Song, H. M., Khan, Y., & Kırıkkaleli, D. (2022). Energy efficiency a source of low carbon energy sources? Evidence from 16 high-income OECD economies. Energy, (243), 123063. https://doi.org/10.1016/j.energy.2021.123063 google scholar
  • Hsu, T. K. (2021). The effect of renewable energy on carbon dioxide emission in Taiwan: Quantile mediation analysis. Science Progres, 104(3). https://doi. org/10.1177/00368504211058557 google scholar Islam, M. M., Ali, M. I., Ceh, B., Singh, S., Khan, M. K., & Dagar, V. (2022). Renewable and non-renewable energy consumption driven sustainable development in ASEAN countries: do financial development and institutional quality matter?. Environmental Science and Pollution Research, (30), 34231-34247. https://doi.org/10.1007/s11356-021-18488-x google scholar
  • Jin, & T., Kim, J. (2018). What is better for mitigating carbon emissions - Renewable energy or nuclear energy? A panel data analysis. Renewable & Sustainable Energy Reviews, (91), 464-471. https:// doi.org/10.1016/j.rser.2018.04.022 google scholar
  • Jin, W., Gao, S., & Pan, S. (2023). Research on the impact mechanism of environmental regulation on green total factor productivity from the perspective of innovative human capital. Environmental Science and Pollution Research, (30), 352-370. google scholar
  • Ludlow, J., & Enders, W. (2000). Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting, 16(3), 333-347. https://doi.org/10.1016/S0169-2070(00)00048-0 google scholar
  • Mattila, T. (2012). Any sustainable decoupling in the Finnish economy? A comparison of the pathways and sensitivities of GDP and ecological footprint 2002-2005. Ecological Indicators. 128-134. https://doi.org/10.1016/j.ecolind.2011.03.010 google scholar
  • Nathaniel, S. P. (2021). Ecological footprint, energy use, trade, and urbanization linkage in Indonesia. GeoJournal. https://doi.org/10.1007/s10708-020-10175-7 google scholar
  • Nathaniel, S. P., Yalçıner, K., & Bekun, F. V. (2021). Assessing the environmental sustainability corridor: Linking natural resources, renewable energy, human capital, and ecological footprint in BRICS. Resources Policy, 101924. https://dpoi.org/10.1016/j.resourpol.2020.1019 google scholar
  • Our World in Data (2022). Available online: https://ourworldindata.org/grapher/per-capita-renewables. (accessed on 21 November 2022). google scholar
  • Pata, U. K. (2021). Renewable and non-renewable energy consumption, economic complexity, CO2 emissions, and ecological footprint in the USA: testing the EKC hypothesis with a structural break. Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-020-10446-3 google scholar
  • 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 google scholar
  • Pesaran, M. H., & Shin, Y. (1995). An Autoregressive Distributed Lag Modelling approach to Cointegration Analysis. RePEc. google scholar
  • Rees, W. E. (1990). Revisiting Carrying Capacity: Area-Based Indicators of Sustainability. Population and Environment, 17(3), 195-215. google scholar
  • Sadiq, M., Wen, F. H., Bashir, M. F., & Amin, A. (2022). Does nuclear energy consumption contribute to human development? Modeling the effects of public debt and trade globalization in an OECD heterogeneous panel. Journal of Cleaner Production, 375. https://doi.org/10.1016/j. jclepro.2022.133965 google scholar
  • Sahoo, M., & Sethi, N. (2021). The intermittent effects of renewable energy on ecological footprint: evidence from developing countries. Environmental Science and Pollution Research, https://doi. org/10.1007/s11356-021-14600-3 google scholar
  • Sun, Y., Du, M. N., Wu, L. Y., Li, C.Z., & Chen, Y. L. (2022). Evaluating the effects of renewable energy consumption on carbon emissions of China’s provinces: based on spatial Durbin Model. Land, 11(8), 1316. https://doi.org/10.3390/land11081316 google scholar
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  • Yılancı, V., Bozoklu, S., & Gorus, M. S. (2020). Are BRICS countries pollution havens? evidence from a Bootstrap ARDL Bounds Testing approach with w Fourier function. Sustainable Cities and Society, (55), 1-12. google scholar
Year 2024, Volume: 74 Issue: 2, 401 - 426, 31.12.2024
https://doi.org/10.26650/ISTJECON2023-1348087

Abstract

References

  • Ahmed, N., Mahboob, F., Hamid, Z., Sheikh, A.A., Ali, M. S. E., Glabiszewski, W., Wysoki'nska-Senkus. A., Senkus, P., & Cyfert, S. (2022). Nexus between nuclear energy consumption and carbon footprint in Asia Pacific Region: policy toward. Environmental Sustainability. Energies, 15, 6956. https://doi.org/10.3390/en15196956 google scholar
  • Alper, A. E., Oransay, G., & Alper, F. Ö. (2015). Beşeri sermayenin belirleyicileri: Üst orta gelirli ülkeler grubu ile OECD karşılaştırmalı analizi. Akademik Sosyal Araştırmalar Dergisi, 3(9), 565578. https://doi.org/10.16992/ASOS.514 google scholar
  • Amin, N., Song, H. M., & Shabbir, M. S. (2022). What factors contribute to environmental degradation in G11 economies? Emphasizing the importance of renewable and non-renewable energy sources. International Journal of Sustainable Development and World Ecology, 29(5), 472482. https://doi.org/10.1080/13504509.2022.2059720 google scholar
  • Apergis, N., Payne, J. E. (2014). The causal dynamics between renewable energy, real GDP, emissions and oil prices: evidence from OECD countries. Applied Economics, 46(36). 4519-4525. http:// dx.doi.org/10.1080/00036846.2014.964834 google scholar
  • Asghar, N., Majeed, M. T., Khan, M. W., Anwar, A. (2023). Biomass energy consumption and sustainable development: empirical evidence from Asian economies. Environmental Science and Pollution Research, (30), 145-160. google scholar
  • Ayompe, L. M., Davis, S. J., & Egoh, B. N. (2020). Trends and drivers of African fossil fuel CO2 emissions 1990-2017. Environmental Research Letters, 15(12), https://doi.org/10.1088/1748-9326/abc64f google scholar
  • Bayraktar, Y., Koc, K., Toprak, M., Ozyılmaz, A., Olgun, M. F., Balsalobre-Lorente, D. & Soylu, Ö. B. (2023). Convergence of per capita ecological footprint among BRICS-T countries: evidence from Fourier unit root test, Environmental Science and Pollution Research, (30), 63022-63035. https://doi.org/10.1007/s11356-023-26532-1 google scholar
  • Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409. https://doi. org/10.1111/j.1467-9892.2006.00478.x google scholar
  • Boluk, G., & Kaplan, R. (2022). Effectiveness of renewable energy incentives on sustainability: evidence from dynamic panel data analysis for the EU countries and Turkiye. Environmental Science and Pollution Research, 29(18), 26613-26630. https://doi.org/10.1007/s11356-021-17801-y google scholar
  • Bozoklu, S., Yılancı, V., & Görüş, M. S. (2020). Persistence in per capita energy consumption: a fractional integration approach with a fourier function. Energy Economics, (91), 1-12. https://doi. org/10.1016/j.eneco.2020.104926 google scholar
  • Chen, C. Z., & Lin, Z. S. (2008). Multiple timescale analysis and factor analysis of energy ecological footprint growth in China 1953-2006. Energy Policy, 36(5), 1666-1678. https://doi. org/10.1016/j.enpol.2007.11.033 google scholar
  • Chen, Y., Lee, C.C., & Chen, M. (2022). Ecological footprint, human capital, and urbanization. Energy & Environment, 33(3). 487-510. https://doi.org/10.1177/0958305X211008610 google scholar
  • Destek, M. A., & Sinha, A. (2020). Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries. Journal of Cleaner Production, (242), 118537. https://doi. org/10.1016/j.jclepro.2019.118537 google scholar
  • Dickey, D. A., & Fuller, W. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, (74), 427-431. google scholar
  • Global Footprint Network, (2022). Ecological Footprint, Available online: https://www. footprintnetwork.org/our-work/ ecological-footprint/, (accessed on 18 November 2022). google scholar
  • Enders, W., & Lee, J. (2012). The flexible Fourier and Dickey Fuller Type Unit Root Tests. Economics Letters. (117), 196-199. https://doi.org/10.1016/j.econlet.2012.04.081 google scholar
  • Gan, C., & Voda, M. (2023). Can green finance reduce carbon emission intensity? Mechanism and threshold effect. Environmental Science and Pollution Research, (30), 640-653. google scholar
  • Hassan, T., Song, H. M., Khan, Y., & Kırıkkaleli, D. (2022). Energy efficiency a source of low carbon energy sources? Evidence from 16 high-income OECD economies. Energy, (243), 123063. https://doi.org/10.1016/j.energy.2021.123063 google scholar
  • Hsu, T. K. (2021). The effect of renewable energy on carbon dioxide emission in Taiwan: Quantile mediation analysis. Science Progres, 104(3). https://doi. org/10.1177/00368504211058557 google scholar Islam, M. M., Ali, M. I., Ceh, B., Singh, S., Khan, M. K., & Dagar, V. (2022). Renewable and non-renewable energy consumption driven sustainable development in ASEAN countries: do financial development and institutional quality matter?. Environmental Science and Pollution Research, (30), 34231-34247. https://doi.org/10.1007/s11356-021-18488-x google scholar
  • Jin, & T., Kim, J. (2018). What is better for mitigating carbon emissions - Renewable energy or nuclear energy? A panel data analysis. Renewable & Sustainable Energy Reviews, (91), 464-471. https:// doi.org/10.1016/j.rser.2018.04.022 google scholar
  • Jin, W., Gao, S., & Pan, S. (2023). Research on the impact mechanism of environmental regulation on green total factor productivity from the perspective of innovative human capital. Environmental Science and Pollution Research, (30), 352-370. google scholar
  • Ludlow, J., & Enders, W. (2000). Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting, 16(3), 333-347. https://doi.org/10.1016/S0169-2070(00)00048-0 google scholar
  • Mattila, T. (2012). Any sustainable decoupling in the Finnish economy? A comparison of the pathways and sensitivities of GDP and ecological footprint 2002-2005. Ecological Indicators. 128-134. https://doi.org/10.1016/j.ecolind.2011.03.010 google scholar
  • Nathaniel, S. P. (2021). Ecological footprint, energy use, trade, and urbanization linkage in Indonesia. GeoJournal. https://doi.org/10.1007/s10708-020-10175-7 google scholar
  • Nathaniel, S. P., Yalçıner, K., & Bekun, F. V. (2021). Assessing the environmental sustainability corridor: Linking natural resources, renewable energy, human capital, and ecological footprint in BRICS. Resources Policy, 101924. https://dpoi.org/10.1016/j.resourpol.2020.1019 google scholar
  • Our World in Data (2022). Available online: https://ourworldindata.org/grapher/per-capita-renewables. (accessed on 21 November 2022). google scholar
  • Pata, U. K. (2021). Renewable and non-renewable energy consumption, economic complexity, CO2 emissions, and ecological footprint in the USA: testing the EKC hypothesis with a structural break. Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-020-10446-3 google scholar
  • 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 google scholar
  • Pesaran, M. H., & Shin, Y. (1995). An Autoregressive Distributed Lag Modelling approach to Cointegration Analysis. RePEc. google scholar
  • Rees, W. E. (1990). Revisiting Carrying Capacity: Area-Based Indicators of Sustainability. Population and Environment, 17(3), 195-215. google scholar
  • Sadiq, M., Wen, F. H., Bashir, M. F., & Amin, A. (2022). Does nuclear energy consumption contribute to human development? Modeling the effects of public debt and trade globalization in an OECD heterogeneous panel. Journal of Cleaner Production, 375. https://doi.org/10.1016/j. jclepro.2022.133965 google scholar
  • Sahoo, M., & Sethi, N. (2021). The intermittent effects of renewable energy on ecological footprint: evidence from developing countries. Environmental Science and Pollution Research, https://doi. org/10.1007/s11356-021-14600-3 google scholar
  • Sun, Y., Du, M. N., Wu, L. Y., Li, C.Z., & Chen, Y. L. (2022). Evaluating the effects of renewable energy consumption on carbon emissions of China’s provinces: based on spatial Durbin Model. Land, 11(8), 1316. https://doi.org/10.3390/land11081316 google scholar
  • Wackernagel, M. (1994). Ecological footprint and appropriated carrying capacity: a tool for planning toward sustainability. (Doctoral Thesis), The University of British Columbia, Canada google scholar
  • Wackernagel, M., Rees, W. (1996). Our Ecological Footprint: Reducing Human Impact on the Earth. New Society Publishers, Philadelphia. google scholar
  • World Bank, (2022). World development indicators. available online: https://databank. worldbank. org/source/world-development-indicators. (accessed on 19 December 2022). google scholar
  • Yılancı, V., Bozoklu, S., & Gorus, M. S. (2020). Are BRICS countries pollution havens? evidence from a Bootstrap ARDL Bounds Testing approach with w Fourier function. Sustainable Cities and Society, (55), 1-12. google scholar
There are 37 citations in total.

Details

Primary Language English
Subjects Ecological Economics
Journal Section Research Article
Authors

Mustafa Torun 0000-0003-1812-6560

Cüneyt Kılıç 0000-0003-0622-7145

Ahmet Tayfur Akcan

Müşerref Arık 0000-0002-5334-8743

Publication Date December 31, 2024
Submission Date August 29, 2023
Published in Issue Year 2024 Volume: 74 Issue: 2

Cite

APA Torun, M., Kılıç, C., Akcan, A. T., Arık, M. (2024). Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach. İstanbul İktisat Dergisi, 74(2), 401-426. https://doi.org/10.26650/ISTJECON2023-1348087
AMA Torun M, Kılıç C, Akcan AT, Arık M. Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach. İstanbul İktisat Dergisi. December 2024;74(2):401-426. doi:10.26650/ISTJECON2023-1348087
Chicago Torun, Mustafa, Cüneyt Kılıç, Ahmet Tayfur Akcan, and Müşerref Arık. “Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach”. İstanbul İktisat Dergisi 74, no. 2 (December 2024): 401-26. https://doi.org/10.26650/ISTJECON2023-1348087.
EndNote Torun M, Kılıç C, Akcan AT, Arık M (December 1, 2024) Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach. İstanbul İktisat Dergisi 74 2 401–426.
IEEE M. Torun, C. Kılıç, A. T. Akcan, and M. Arık, “Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach”, İstanbul İktisat Dergisi, vol. 74, no. 2, pp. 401–426, 2024, doi: 10.26650/ISTJECON2023-1348087.
ISNAD Torun, Mustafa et al. “Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach”. İstanbul İktisat Dergisi 74/2 (December 2024), 401-426. https://doi.org/10.26650/ISTJECON2023-1348087.
JAMA Torun M, Kılıç C, Akcan AT, Arık M. Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach. İstanbul İktisat Dergisi. 2024;74:401–426.
MLA Torun, Mustafa et al. “Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach”. İstanbul İktisat Dergisi, vol. 74, no. 2, 2024, pp. 401-26, doi:10.26650/ISTJECON2023-1348087.
Vancouver Torun M, Kılıç C, Akcan AT, Arık M. Determinants of Ecological Footprint in Türkiye: Evidence from the Fourier ARDL Bounds Test Approach. İstanbul İktisat Dergisi. 2024;74(2):401-26.