Araştırma Makalesi
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MENA Bölgesinde Düşük Karbonlu Ekonomi için Genişletilmiş STIRPAT Modelinin Test Edilmesi

Yıl 2025, Cilt: 47 Sayı: 3, - , 28.12.2025
https://doi.org/10.14780/muiibd.1566886

Öz

Nüfus artışı, tüketimdeki çeşitlenme ve artış, sanayi üretiminin artması, kentleşmenin yoğunlaşması ve enerji ihtiyacının artması gibi sebeplerle yaratılan atık ve karbon miktarı küresel ölçekte gün geçtikçe artmaktadır. Öyle ki, Dünya Ekonomik Forumu’nun küresel riskler haritasına göre çevre sorunları ve iklim değişikliği 2011 yılından itibaren en önemli riskler arasında yer almaktadır. Ayrıca sürdürülebilir kalkınmanın temel bileşenlerinden biri olan ekonomik büyümenin (kapalı döngü/döngüsel sistemler yerine) doğrusal süreçlerle sınırlı kalması, bir diğer bileşen olan çevresel kaliteyi tehdit etmektedir. Dolayısıyla hem küresel hem de ulusal ölçekte düşük karbonlu ekonomi modeliyle büyümenin önemi ortaya çıkmaktadır. Bu bağlamda, çalışma Orta Doğu ve Kuzey Afrika (MENA) bölgesinde düşük karbonlu ekonomi ve çevresel bozulmaya ilişkin temel argümanların araştırılması için daha kapsamlı bir çerçeve sağlamayı amaçlamaktadır. Sürdürülebilirlik ilkesinden hareketle Orta Doğu ve Kuzey Afrika (MENA) bölgesi için 1990-2020 dönemi verileri esas alınarak, STIRPAT modelinin temel unsurları olan refah, nüfus ve teknolojiye; yenilenebilir enerji ve ticari dışa açıklık değişkenleri eklenmekte ve genişletilmiş STIRPAT modeli ARDL sınır testi yaklaşımıyla test edilmektedir. Elde edilen sonuçlara göre, uzun dönemde nüfus, refah ve teknoloji değişkenleri istatistiksel olarak anlamlı sonuçlar verirken; ticari dışa açıklık değişkeninin etkisi kısa dönemde gözlenmektedir. Ayrıca kısa dönem şoklarını takiben uzun dönem dengesinde oluşacak sapmadan bir dönem sonrası, söz konusu şokun etkisinin %38’inin giderilebildiği; yani uyarlanma sürecinin yavaş olduğu sonucuna ulaşılmaktadır.

Kaynakça

  • Anser, M.K., Alharthi, M., Aziz, B., Wasim, S. (2020), “Impact of urbanization, economic growth, and population size on residential carbon emissions in the SAARC countries”, Clean Technol Environ Policy, 1-14.
  • Awad, A., Warsame, M.H. (2017), “Climate changes in Africa: does economic growth matter? A semi-parametric approach”, Int J Energy Econ Pol, 7(1), 1-8.
  • Aziz, S., Chowdhury, S.A. (2023), “Analysis of agricultural greenhouse gas emissions using the STIRPAT model: A case study of Bangladesh”, Environment, Development and Sustainability, 25(5), 3945-3965.
  • Boulding, K. E. T. (1996). he Economics of the Coming Spaceship Earth [M]. Environmental Qualityina Growing Economy.
  • Cato, M. S. (2012). Green economics: an introduction to theory, policy and practice. Routledge.
  • Dickey, D. A. & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society, 49(4), 1057-1072.
  • Dietz, T. & Rosa, E. A. (1994). Rethinking the environmental impacts of population, affluence and technology. Human Ecology Review, 1(2), 277-300.
  • Dietz, T. & Rosa, E. A. (1997). Effects of population and affluence on CO2 emissions. Proceedings of the National Academy of Sciences, 94(1), 175-179.
  • Domar, E.D. (1946), “Capital Expansion, Rate of Growth, and Employment”, Econometrica, 14(2), 137-147.
  • Ehrlich, P. R. & Holdren, J. P. (1971). Impact of Population Growth: Complacency Concerning This Component of Man’s Predicament is Unjustified and Counterproductive. Science, 171(3977), 1212-1217.
  • Fu, B., Wu, M., Che, Y., Wang, M., Huang, Y., Bai, Y. (2015), “The strategy of a low-carbon economy based on the STIRPAT and SD models”, Acta Ecologica Sinica, 35, 76-82.
  • Grainger, A., & Smith, G. (2021). The role of low carbon and high carbon materials in carbon neutrality science and carbon economics. Current Opinion in Environmental Sustainability, 49, 164-189.
  • Grossman, G.M., Krueger, A.B. (1995), “Economic Growth and the Environment”, The Quarterly Journal of Economics, 110(2), 353-377.
  • Harrod, R.F. (1939), “An Essay in Dynamic Theory”, The Economic Journal, 49(193), 14-33.
  • He, X.G., Zhang, Y.H. (2012), “Influence factors and environmental Kuznets curve effect of Chinese industry’s carbon dioxide emission-empirical research based on STIRPAT model with industrial dynamic panel data”, China Ind. Econ, 1, 26-35.
  • Huang, J., Li, X., Wang, Y., Lei, H. (2021), “The effect of energy patents on China’s carbon emissions: Evidence from the STIRPAT model”, Technological Forecasting and Social Change, 173, 121110.
  • Huo, J.W., Yang, D.G., Tang, H. (2012), “Empirical study and decomposition model analysis of carbon emissions in Xinjiang”, Prog. Geogr., 31(4), 435-441.
  • Ibrahim, S.S., Celebi, A., Ozdeser, H., Sancar, N. (2017), “Modelling the impact of energy consumption and environmental sanity in Turkey: a STIRPAT framework”, Procedia computer science,120, 229-236.
  • Khan, A.Q., Saleem, N., Fatima, S.T. (2018), “Financial development, income inequality, and CO2 emissions in Asian countries using STIRPAT model”, Environ Sci Pollut Control Ser, 25(7), 6308-6319.
  • Kocoglu, M., Nghiem, X.-H., Barak, D., Bruna, K., Jahanger, A. (2024), “Can forests realize the carbon neutrality dream? Evidence from a global sample”, Journal of Environmental Management, 366, 121827.
  • McGee, J.A., Clement, M.T., Besek, J.F. (2015), “The impacts of technology: A re-evaluation of the STIRPAT model”, Environmental Sociology, 1(2), 81-91.
  • Nasrollahi, Z., Hashemi, M. S., Bameri, S., & Mohamad Taghvaee, V. (2020). Environmental pollution, economic growth, population, industrialization, and technology in weak and strong sustainability: using STIRPAT model. Environment, Development and Sustainability, 22, 1105-1122.
  • Nordhaus, W.D. (1991), “To Slow or Not to Slow: The Economics of The Greenhouse Effect”, The Economic Journal, 101(407), 920-937.
  • OECD (2024), Middle East and North Africa, OECD, https://www.oecd.org/en/regions/middle-east-andnorth- africa.html
  • Peng, X.Z., Zhu, Q. (2010), “Impacts of population on dynamics and consumption pattern on carbon emission in China”, Popul. Res., 34(1), 48-58.
  • Pesaran, H. (1997). Working with Microfit 4.0: Interactive Econometric Analysis.
  • 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.
  • Phillips, P. C. & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  • Ren, W.X, Gen, Y., Xue, B. (2012), “Driving forces of carbon emission from energy consumption in China old industrial cities: a case study of Shenyang city, northeast China”, Chin. J. Appl. Ecol., 23(10), 2829-2835.
  • Romer, P.M. (1990), “Endogenous technological change”, Journal of Political Economy, 98(5, Part 2), S71-S102.
  • Roy, M., Basu, S., Pal, P. (2017), “Examining the driving forces in moving toward a low carbon society: an extended STIRPAT analysis for a fast growing vast economy”, Clean Techn Environ Policy, 19, 2265- 2276.
  • Shahbaz, M., Loganathan, N., Muzaffar, A.T., Ahmed, K., Jabran, M.A. (2016), “How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model”, Renew Sustain Energy Rev, 57, 83-93.
  • Shao, S., Yang, L.L., Cao, J.H. (2010), “Study on influencing factors of CO2 emissions from industrial energy consumption: an empirical analysis based on STIRPAT model and industrial sectors’ dynamic panel data in Shanghai”, J. Financ. Econ., 36(11), 16-27.
  • Solow, R.M. (1956), “A contribution to the theory of economic growth”, The Quarterly Journal of Economics, 70(1), 65-94.
  • United Nations (2024), THE 17 GOALS | Sustainable Development, Department of Economic and Social Affairs: Sustainable Development, https://sdgs.un.org/goals
  • Wang, M.W., Che, Y., Yang, K., Wang, M., Xiong, L.J., Huang, Y.C. (2011), “A local-scale lowcarbon plan based on the STIRPAT model and the scenario method: the case of Minhang District, Shanghai, China”, Energy Policy, 39(11), 6981-6990.
  • World Bank (2024), World Development Indicators, https://databank.worldbank.org/reports. aspx?source=world-development-indicators
  • World Bank Group (2023), Climate and Development in the Middle East and North Africa, World Bank, https:// www.worldbank.org/en/region/mena/brief/climate-and-development-in-the-middle-east-and-northafrica
  • World Bank Group, (2022a), Middle East & North Africa Climate Roadmap, World Bank, https://www. worldbank.org/en/region/mena/publication/middle-east-north-africa-climate-roadmap
  • World Bank Group, (2022b), MENA’s Polluted Skies and Seas Hurt Economies, Livelihoods, World Bank, https://www.worldbank.org/en/news/press-release/2022/02/07/mena-s-polluted-skies-and-seas-hurteconomies-livelihoods
  • Xing, L., Khan, Y.A., Arshed, N., Iqbal, M. (2023), “Investigating the impact of economic growth on environment degradation in developing economies through STIRPAT model approach”, Renewable and Sustainable Energy Reviews, 182, 113365.
  • Xu, Y., Zhou, S.F. (2011), “An empirical study on urbanization and CO2 emissions in China”, Resour. Environ. Yangtze, 20(11), 1304-1309.
  • Yan, H., Guo, Y.G., Lin, F.C. (2010), “Analyzing the developing model of Chinese cities under the control of CO2 emissions using the STIRPAT model: a case study of Shanghai”, Acta Geograph. Sin., 65(8), 983-990.
  • Yeh, J.C., Liao, C.H. (2016), “Impact of population and economic growth on carbon emissions in Taiwan using an analytic tool STIRPAT”, Sustainable Environment Research, 27(1), 41-48.
  • Zineb, S.B. (2016), “International trade and CO2 emissions: a dynamic panel data analysis by the STIRPAT model”, J Econ Sustain Dev, 7(12), 94-104.

Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region

Yıl 2025, Cilt: 47 Sayı: 3, - , 28.12.2025
https://doi.org/10.14780/muiibd.1566886

Öz

On global scale, the amount of waste and carbon is increasing day by day because of the reasons such as increasing population, urbanization, consumption, industrial production and energy demand etc. Moreover, according to the World Economic Forum's global risks map, environmental problems and climate change have been among the most important risks since 2011. The fact that economic growth, one of the basic components of sustainable development, is limited to linear processes (rather than closed-loop/circular systems) threatens another component, environmental quality. Therefore, the importance of growth with a low-carbon economy model emerges both on a global and national scale. In this context, the study aims to provide a more comprehensive framework for investigating the main arguments for a low-carbon economy and environmental degradation in the Middle East and North Africa (MENA) region. Based on the principle of sustainability, the variables of trade openness and renewable energy are added to the main elements of the STIRPAT model (population, affluence and technology). The extended STIRPAT model is tested with the ARDL bounds test approach using data from MENA region for the period 1990-2020. According to the results obtained, while population, affluence and technology variables give statistically significant results in the long term, the effect of the trade openness variable is observed in the short term. 38% of the effect of the shock is eliminated after a period from deviation from long-term equilibrium following short-term shocks. In other words it is concluded that the adaptation process is slowly.

Kaynakça

  • Anser, M.K., Alharthi, M., Aziz, B., Wasim, S. (2020), “Impact of urbanization, economic growth, and population size on residential carbon emissions in the SAARC countries”, Clean Technol Environ Policy, 1-14.
  • Awad, A., Warsame, M.H. (2017), “Climate changes in Africa: does economic growth matter? A semi-parametric approach”, Int J Energy Econ Pol, 7(1), 1-8.
  • Aziz, S., Chowdhury, S.A. (2023), “Analysis of agricultural greenhouse gas emissions using the STIRPAT model: A case study of Bangladesh”, Environment, Development and Sustainability, 25(5), 3945-3965.
  • Boulding, K. E. T. (1996). he Economics of the Coming Spaceship Earth [M]. Environmental Qualityina Growing Economy.
  • Cato, M. S. (2012). Green economics: an introduction to theory, policy and practice. Routledge.
  • Dickey, D. A. & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society, 49(4), 1057-1072.
  • Dietz, T. & Rosa, E. A. (1994). Rethinking the environmental impacts of population, affluence and technology. Human Ecology Review, 1(2), 277-300.
  • Dietz, T. & Rosa, E. A. (1997). Effects of population and affluence on CO2 emissions. Proceedings of the National Academy of Sciences, 94(1), 175-179.
  • Domar, E.D. (1946), “Capital Expansion, Rate of Growth, and Employment”, Econometrica, 14(2), 137-147.
  • Ehrlich, P. R. & Holdren, J. P. (1971). Impact of Population Growth: Complacency Concerning This Component of Man’s Predicament is Unjustified and Counterproductive. Science, 171(3977), 1212-1217.
  • Fu, B., Wu, M., Che, Y., Wang, M., Huang, Y., Bai, Y. (2015), “The strategy of a low-carbon economy based on the STIRPAT and SD models”, Acta Ecologica Sinica, 35, 76-82.
  • Grainger, A., & Smith, G. (2021). The role of low carbon and high carbon materials in carbon neutrality science and carbon economics. Current Opinion in Environmental Sustainability, 49, 164-189.
  • Grossman, G.M., Krueger, A.B. (1995), “Economic Growth and the Environment”, The Quarterly Journal of Economics, 110(2), 353-377.
  • Harrod, R.F. (1939), “An Essay in Dynamic Theory”, The Economic Journal, 49(193), 14-33.
  • He, X.G., Zhang, Y.H. (2012), “Influence factors and environmental Kuznets curve effect of Chinese industry’s carbon dioxide emission-empirical research based on STIRPAT model with industrial dynamic panel data”, China Ind. Econ, 1, 26-35.
  • Huang, J., Li, X., Wang, Y., Lei, H. (2021), “The effect of energy patents on China’s carbon emissions: Evidence from the STIRPAT model”, Technological Forecasting and Social Change, 173, 121110.
  • Huo, J.W., Yang, D.G., Tang, H. (2012), “Empirical study and decomposition model analysis of carbon emissions in Xinjiang”, Prog. Geogr., 31(4), 435-441.
  • Ibrahim, S.S., Celebi, A., Ozdeser, H., Sancar, N. (2017), “Modelling the impact of energy consumption and environmental sanity in Turkey: a STIRPAT framework”, Procedia computer science,120, 229-236.
  • Khan, A.Q., Saleem, N., Fatima, S.T. (2018), “Financial development, income inequality, and CO2 emissions in Asian countries using STIRPAT model”, Environ Sci Pollut Control Ser, 25(7), 6308-6319.
  • Kocoglu, M., Nghiem, X.-H., Barak, D., Bruna, K., Jahanger, A. (2024), “Can forests realize the carbon neutrality dream? Evidence from a global sample”, Journal of Environmental Management, 366, 121827.
  • McGee, J.A., Clement, M.T., Besek, J.F. (2015), “The impacts of technology: A re-evaluation of the STIRPAT model”, Environmental Sociology, 1(2), 81-91.
  • Nasrollahi, Z., Hashemi, M. S., Bameri, S., & Mohamad Taghvaee, V. (2020). Environmental pollution, economic growth, population, industrialization, and technology in weak and strong sustainability: using STIRPAT model. Environment, Development and Sustainability, 22, 1105-1122.
  • Nordhaus, W.D. (1991), “To Slow or Not to Slow: The Economics of The Greenhouse Effect”, The Economic Journal, 101(407), 920-937.
  • OECD (2024), Middle East and North Africa, OECD, https://www.oecd.org/en/regions/middle-east-andnorth- africa.html
  • Peng, X.Z., Zhu, Q. (2010), “Impacts of population on dynamics and consumption pattern on carbon emission in China”, Popul. Res., 34(1), 48-58.
  • Pesaran, H. (1997). Working with Microfit 4.0: Interactive Econometric Analysis.
  • 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.
  • Phillips, P. C. & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  • Ren, W.X, Gen, Y., Xue, B. (2012), “Driving forces of carbon emission from energy consumption in China old industrial cities: a case study of Shenyang city, northeast China”, Chin. J. Appl. Ecol., 23(10), 2829-2835.
  • Romer, P.M. (1990), “Endogenous technological change”, Journal of Political Economy, 98(5, Part 2), S71-S102.
  • Roy, M., Basu, S., Pal, P. (2017), “Examining the driving forces in moving toward a low carbon society: an extended STIRPAT analysis for a fast growing vast economy”, Clean Techn Environ Policy, 19, 2265- 2276.
  • Shahbaz, M., Loganathan, N., Muzaffar, A.T., Ahmed, K., Jabran, M.A. (2016), “How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model”, Renew Sustain Energy Rev, 57, 83-93.
  • Shao, S., Yang, L.L., Cao, J.H. (2010), “Study on influencing factors of CO2 emissions from industrial energy consumption: an empirical analysis based on STIRPAT model and industrial sectors’ dynamic panel data in Shanghai”, J. Financ. Econ., 36(11), 16-27.
  • Solow, R.M. (1956), “A contribution to the theory of economic growth”, The Quarterly Journal of Economics, 70(1), 65-94.
  • United Nations (2024), THE 17 GOALS | Sustainable Development, Department of Economic and Social Affairs: Sustainable Development, https://sdgs.un.org/goals
  • Wang, M.W., Che, Y., Yang, K., Wang, M., Xiong, L.J., Huang, Y.C. (2011), “A local-scale lowcarbon plan based on the STIRPAT model and the scenario method: the case of Minhang District, Shanghai, China”, Energy Policy, 39(11), 6981-6990.
  • World Bank (2024), World Development Indicators, https://databank.worldbank.org/reports. aspx?source=world-development-indicators
  • World Bank Group (2023), Climate and Development in the Middle East and North Africa, World Bank, https:// www.worldbank.org/en/region/mena/brief/climate-and-development-in-the-middle-east-and-northafrica
  • World Bank Group, (2022a), Middle East & North Africa Climate Roadmap, World Bank, https://www. worldbank.org/en/region/mena/publication/middle-east-north-africa-climate-roadmap
  • World Bank Group, (2022b), MENA’s Polluted Skies and Seas Hurt Economies, Livelihoods, World Bank, https://www.worldbank.org/en/news/press-release/2022/02/07/mena-s-polluted-skies-and-seas-hurteconomies-livelihoods
  • Xing, L., Khan, Y.A., Arshed, N., Iqbal, M. (2023), “Investigating the impact of economic growth on environment degradation in developing economies through STIRPAT model approach”, Renewable and Sustainable Energy Reviews, 182, 113365.
  • Xu, Y., Zhou, S.F. (2011), “An empirical study on urbanization and CO2 emissions in China”, Resour. Environ. Yangtze, 20(11), 1304-1309.
  • Yan, H., Guo, Y.G., Lin, F.C. (2010), “Analyzing the developing model of Chinese cities under the control of CO2 emissions using the STIRPAT model: a case study of Shanghai”, Acta Geograph. Sin., 65(8), 983-990.
  • Yeh, J.C., Liao, C.H. (2016), “Impact of population and economic growth on carbon emissions in Taiwan using an analytic tool STIRPAT”, Sustainable Environment Research, 27(1), 41-48.
  • Zineb, S.B. (2016), “International trade and CO2 emissions: a dynamic panel data analysis by the STIRPAT model”, J Econ Sustain Dev, 7(12), 94-104.
Toplam 45 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Kalkınma Ekonomisi - Makro
Bölüm Araştırma Makalesi
Yazarlar

Canan Şentürk 0000-0001-7714-844X

Selin Kaya 0000-0001-9174-1530

Onur Sungur 0000-0001-6778-4370

Gönderilme Tarihi 14 Ekim 2024
Kabul Tarihi 18 Kasım 2025
Yayımlanma Tarihi 28 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 47 Sayı: 3

Kaynak Göster

APA Şentürk, C., Kaya, S., & Sungur, O. (2025). Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 47(3). https://doi.org/10.14780/muiibd.1566886
AMA Şentürk C, Kaya S, Sungur O. Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. Aralık 2025;47(3). doi:10.14780/muiibd.1566886
Chicago Şentürk, Canan, Selin Kaya, ve Onur Sungur. “Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region”. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 47, sy. 3 (Aralık 2025). https://doi.org/10.14780/muiibd.1566886.
EndNote Şentürk C, Kaya S, Sungur O (01 Aralık 2025) Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 47 3
IEEE C. Şentürk, S. Kaya, ve O. Sungur, “Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region”, Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, c. 47, sy. 3, 2025, doi: 10.14780/muiibd.1566886.
ISNAD Şentürk, Canan vd. “Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region”. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 47/3 (Aralık2025). https://doi.org/10.14780/muiibd.1566886.
JAMA Şentürk C, Kaya S, Sungur O. Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2025;47. doi:10.14780/muiibd.1566886.
MLA Şentürk, Canan vd. “Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region”. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, c. 47, sy. 3, 2025, doi:10.14780/muiibd.1566886.
Vancouver Şentürk C, Kaya S, Sungur O. Testing the Extended STIRPAT Model for Low-Carbon Economy in MENA Region. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2025;47(3).