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THE RELATIONSHİP BETWEEN ECONOMIC COMPLEXITY AND ENVIRONMENTAL DEGRADATION IN DEVELOPED AND DEVELOPİNG COUNTRIES: PANEL DATA ANALYSIS FOR 2003-2022

Yıl 2024, Cilt: 8 Sayı: 4, 922 - 936, 23.12.2024
https://doi.org/10.30586/pek.1503635

Öz

Environmental changes are essentially a result of the increasing intensity and complexity of economic activity. In this study, a panel data analysis developed based on the approaches known as IPAT and STIRPAT in the literature is applied. Here, the relationships between economic complexity and environmental degradation are estimated for both developed countries and a sample set of developing countries, including Turkey. The research covers the period between 2003 and 2022. The data used in the model were obtained from the World Bank and the Economic Complexity Observatory. Similarly, the World Bank's Databank filter was used when creating country sample sets. Accordingly, there are 40 countries in the High Income group and 37 IBRD countries in the middle-high income group representing developing countries. According to the research results, one unit of national income increase in developing countries creates more CO2 emissions than in developed countries. This finding is consistent with the classical Kuznets curve approach. At the same time, the results show that increases in the Economic Complexity Index (ECI) lead to a decrease in CO2 emissions in both developed and developing countries. As a result, in terms of environmental sustainability, the industrialization of countries should evolve into a structure that produces and exports complex products.

Kaynakça

  • Abbasi,K. R. ; Lv, K. ; Radulescu,M. ; Shaikh, P. A. (2021). Economic complexity, tourism, energy prices, and environmental degradation in the top economic complexity countries: fresh panel evidence. Environmental Science and Pollution Research 28, 68717–687316, https://doi.org/10.1007/s11356-021-15312-4 /
  • Agheli,L. ; Taghvaee, V. M. (2022). Political stability effect on environment and weak sustainability in Asian countries. Sustainability Analytics and Modeling 2, 1-6
  • Aluko,O. A. ; Opoku,E.E. O. ; Acheampong, A.O.(2023). Economic complexity and environmental degradation: Evidence from OECD countries. Business Strategy and the Environment 32(6), 2649-4014
  • Balsalobre-Lorente,D. ; Nur,T. ;Topaloğlu,E. E. ; Evcimen, C. (2024).The dampening effect of geopolitical risk and economic policy uncertainty in the linkage between economic complexity and environmental degradation in the G-20. Journal of Environmental Management 351, 119679
  • Boleti, E.; Garas, A.; Kyriakou, A.; Lapatinas, A. (2021). Economic Complexity and Environmental Performance: Evidence from A World Sample. Environ. Model., 26, 251–270. https://doi.org/10.1007/s10666-021-09750-0.
  • Bourguignon, F. (2004). The poverty-growth-inequality triangle. Indian Council for Research on International Economic Relations, New Delhi Working Paper No. 125. https://ideas.repec. org/p/ind/icrier/125.html.
  • Can,M. ; Gozgor,G. (2017). The impact of economic complexity on carbon emissions: evidence from France. Environ Sci Pollut Res 24, 16364–16370, doi: 10.1007/s11356-017-9219-7
  • Carpenter,S. R.; Caraco; N. F. ; Correll, D. L. ; Howarth, R. W. ; Sharpley,A. N. ; Smith, V. H. (1998). Nonpoint Pollution of Surface Waters with Phosphorus and Nitrogen. Ecological Applications 8, 559-905 https://doi.org/10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO;2
  • Chokr, N. N. (2023). Ecological footprint. Salem Press Encyclopedia, p.2
  • Chu L.K. (2020). Economic structure and environmental Kuznets curve hypothesis: new evidence from economic complexity. Appl Econ Lett 0:1–5 https://doi.org/10.1080/13504851.2020.1767280
  • Demir, C. (2019) “Dışa Açılma Ve Kamu Harcamaları: OECD Ülkeleri İçin Panel Veri Analizi, Kırklareli Üniversitesi Sosyal Bilimler Dergisi Haziran, 3(2), 80-96.
  • Dietz, T.; Rosa, E.A. (1994). Rethinking the environmental impacts of Population, Affluence and Technology. Human Ecology Review, 1(2): 277–300.
  • Doğan, B.; Saboori, B.; Can, M., (2019). Does economic complexity matter for environmental degradation? An empirical analysis for different stages of development. Environmental Science and Pollution Research 26:31900–31912
  • Doğan, E.; Türkekul, B. (2016). CO2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environ Sci Pollut Res Int. 23(2), 1203-13. doi: 10.1007/s11356-015-5323-8.
  • Driscoll, J. C. ve Kraay, A. C. (1998) “Consistent covariance matrix estimation with spatially dependent panel data” Review of Economics and Statistics, 80(4), 549-560.
  • Grossman, G. M.; Krueger, A. B. (1991). Environmental Impacts of a North American Free Trade Agreement. National Bureau of Economic Research Working Paper No. 3914.
  • Grossman, G. M., A. B. Krueger,A.B.( 1995). Economic Growth and the Environment. The Quarterly Journal of Economics 110(2), 353–377. doi:10.2307/2118443.
  • Gao, J.; Zhou, T. (2018). Quantifying China’s regional economic complexity. Physica A 492, 1591–1603. http://dx.doi.org/10.1016/j.physa.2017.11.084.
  • Hartmann, D.; Guevara,M. R.; Jara-Fıgueroa, C. ; Arıstaran, M.; Hıdalgo, C.A. (2017).Linking Economic Complexity, Institutions, and Income Inequality. World Development, 93, 75–93.
  • Hidalgo,C.A ; Hausmann,R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences, 106(26), 10570-10575, 10.1073/pnas.0900943106
  • Hu, G.; Can,M. ; Paramati,S.R. ; Doğan,B. ; Fang.J. (2020). The Effect of Import Product Diversification on Carbon Emissions: New Evidence for Sustainable Economic Policies. Economic Analysis and Policy 65, 198–210. doi:10.1016/j.eap.2020.01.004.
  • Ikram,M. ; Xia,W. ; Fareed,Z. ; Shahzad, U. ; Rafque,M.Z. (2021). Exploring the nexus between economic complexity, economic growth and ecological footprint: contextual evidence from Japan. Sustain Energy Technol Assess 47. https://doi.org/10.1016/j.seta.2021. 101460
  • Im, K., Pesaran, H., Shin, Y., (2003), Testing for unit roots in heterogenous panels, Journal of Econometrics, vol. 115.
  • Lapatinas, A.; Garas, A.; Boleti, E.; Kyriakou, A. (2019). Economic complexity and environmental performance: Evidence from a world sample. MPRA Paper No. 92833, https://mpra.ub.uni-muenchen.de/92833/
  • Majeed,M.T. ; Mazhar,M. ; Samreen,I. ; Tauqir,A. (2022). Economic complexities and environmental degradation: evidence from OECD countries. Environment, Development and Sustainability, 24:5846–5866 https://doi.org/10.1007/s10668-021-01687-4
  • Mazzitelli,D. ; Aura, F.(2019). The Reduction of Environmental Pollution in Africa: Ict and Co2 Emissions. 39th International Scientific Conference on Economic and Social Development – "Sustainability from an Economic and Social Perspective"- Lisbon, 29-30 April. pp.75-84
  • Neagu, Olimpia, and Mircea Constantin Teodoru. (2019). "The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries" Sustainability, 2(497), 1-30. https://doi.org/10.3390/su11020497
  • Persyn, D. ve J. Westerlund (2008) “Error Correction Based cointegration Tests for Panel Data” Stata Journal 8 (2), 232-241.
  • Pesaran, H., (2003), A Simple Panel Unit Root Test in the Presence of Cross Section Dependence, Cambridge Working Papers in Economics 0346, Faculty of Economics (DAE), University of Cambridge
  • Rafiq, M. A.; Rauf, A.; Shakir,S. S. ; Abbas,A.M.A. ; Sun,H. ;Abid,S. (2023). Exploring the Intertwined Nexus between Globalization, Energy Usage, Economic Complexity, and Environmental Quality in Emerging Asian Economies: A Pathway Towards a Greener Future. Environmental Science and Pollution Research 30:100431–100449 https://doi.org/10.1007/s11356-023-29330-x
  • Rees, W.; Wackernagel, M. (1996). Urban ecological footprints: Why cities cannot be sustainable—And why they are a key to sustainability. Environmental Impact Assessment Review, 16(4), 223-248 https://doi.org/10.1016/S0195-9255(96)00022-4
  • Romero,J. P. ; Gramkow, C. (2021). Economic complexity and greenhouse gas emissions. World Development, 139, 1-18
  • OEC World (2024). The observatory of Economic Complexity. https://oec.world/en
  • Saatçi, M.; A. Aslan (2007). Türkiye İmalat Sanayinde İthalatın Piyasayı Disipline Etme Hipotezinin Testi: Panel Veri Yaklaşımı. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 29, 1-15.
  • Shah,M.H. ; Chun,H. D.; Wang, Y.; Ullah, I.; Hassan,S. T. ; Fareed,Z. (2023). Analyzing Nexus between Economic Complexity, Renewable Energy, and Environmental Quality in Japan: A New Evidence from QARDL Approach Hindawi. International Journal of Energy Research, ID 1683231, 14 pages https://doi.org/10.1155/2023/1683231
  • Stern, D. I. (2004). The Rise and Fall of the Environmental Kuznets Curve. World Development 32 (8): 1419–1439. doi:10.1016/j.worlddev.2004.03.004.
  • Swart, J.; Brinkmann, L. (2020). Economic complexity and the environment: evidence from Brazil. Universities and Sustainable Communities: Meeting the Goals of the Agenda 2030 p3-45. https://doi.org/10.1007/978-3-030-30306-8
  • The Atlas of Economic Complexity, Harvard Kennedy School Growth Lab., Growthlab@Hks.Harvard.Edu., https://atlas.cid.harvard.edu/ (erişim 09.06.2024)
  • Tietenberg, T.; Folmer, H. (2005). The international yearbook of environmental and resource economics 2005/2006: a survey of current issues. Edward Elgar Publishing
  • Ullah,A. ; Ahmet,M. ; Raza,S. A. ; Ali,S. (2021). A threshold approach to sustainable development: Nonlinear relationship between renewable energy consumption, natural resource rent, and ecological footprint. Journal of Environmental Management 295, 1, 113073 https://doi.org/10.1016/j.jenvman.2021.113073
  • Wang,F. ; Taghvaee, V. M. (2023). Impact of technology and economic complexity on environmental pollution and economic growth in developing and developed countries: using IPAT and STIRPAT models. Environmental Science and Pollution Research 30:73349–73360 https://doi.org/10.1007/s11356-023-27569-y
  • Wang, M.; Arshed, N.; Munir, M.; Rasool,S.F.; Lin, W. (2021). Investigation of the STIRPAT Model of Environmental Quality: A Case of Nonlinear Quantile Panel Data Analysis, Environment Development Sustainability, 23, 12217–12232.
  • Westerlund, J. (2007) “Testing for Error Correction in Panel Data” Oxford Bulletin of Economics and Statistics 69(6): 709-748.
  • World Bank Open Data (2024). The World Bank. https://data.worldbank.org/
  • You,W. ; Zhang,Y.; Lee,C.-C. (2022). The dynamic impact of economic growth and economic complexity on CO2 emissions: An advanced panel data estimation. Economic Analysis and Policy, 73, 112-128.
  • Zou, H. ; Zhang, Y. (2022). Does environmental regulatory system drive the green development of China’s pollution-intensive industries? Journal of Cleaner Production 330,1-12 https://doi.org/10.1016/j.jclepro.2021.129832

Gelişmiş Ve Gelişmekte Olan Ülkelerde Ekonomik Karmaşıklık (Complexity) İle Çevresel Bozulma Arasındaki İlişki: 2003-2023 Yılları İçin Panel Veri Analizi

Yıl 2024, Cilt: 8 Sayı: 4, 922 - 936, 23.12.2024
https://doi.org/10.30586/pek.1503635

Öz

Çevresel değişmeler, esas itibariyle ekonomik faaliyetin artan yoğunluğunun ve karmaşıklığının bir sonucudur. Bu çalışmada literatürde IPAT ve STIRPAT olarak bilinen yaklaşımlar esas alınarak geliştirilmiş bir panel veri analizi uygulanmaktadır. Burada ekonomik karmaşıklık (complexity) ile çevresel bozulma arasındaki ilişkiler hem gelişmiş ülkeler hem de Türkiye’nin de içinde bulunduğu gelişmekte olan ülkeler örneklem kümesi için tahmin edilmektedir. Araştırma 2003 ile 2022 yılları arasını kapsamaktadır. Modelde kullanılan veriler Dünya Bankası ve Ekonomik Karmaşıklık Gözlemevi’nden elde edilmiştir. Benzer şekilde ülke örneklem kümeleri oluşturulurken Dünya Bankası’nın Databank filtresi kullanılmıştır. Buna göre Yüksek Gelir grubunda 40 ülke ve gelişmekte olan ülkeleri temsilen orta yüksek gelir grubundaki 37 IBRD ülkesi yer almaktadır. Araştırma sonuçlarına göre gelişmekte olan ülkelerde bir birim milli gelir artışı gelişmiş ülkelere nazaran daha fazla CO2 emisyonları ortaya çıkarmaktadır. Bu bulgu klasik Kuznets eğrisi yaklaşımına uygundur. Aynı zamanda sonuçlar, hem gelişmiş hem de gelişmekte olan ülkelerde Ekonomik Karmaşıklık Endeksi (ECI)’ndeki artışların CO2 emisyonlarında düşüşe neden olduğunu göstermektedir. Sonuç olarak çevresel sürdürülebilirlik açısından ülkelerin sanayileşmeleri karmaşık ürünler üreten ve ihraç eden bir yapıya evrilmelidir.

Etik Beyan

Bu çalışmanın, özgün bir çalışma olduğunu; çalışmanın hazırlık, veri toplama, analiz ve bilgilerin sunumu olmak üzere tüm aşamalarından bilimsel etik ilke ve kurallarına uygun davrandığımı; bu çalışma kapsamında elde edilmeyen tüm veri ve bilgiler için kaynak gösterdiğimi ve bu kaynaklara kaynakçada yer verdiğimi; kullanılan verilerde herhangi bir değişiklik yapmadığımı, çalışmanın Committee on Publication Ethics (COPE)' in tüm şartlarını ve koşullarını kabul ederek etik görev ve sorumluluklara riayet ettiğimi beyan ederim. Herhangi bir zamanda, çalışmayla ilgili yaptığım bu beyana aykırı bir durumun saptanması durumunda, ortaya çıkacak tüm ahlaki ve hukuki sonuçlara razı olduğumu bildiririm.

Kaynakça

  • Abbasi,K. R. ; Lv, K. ; Radulescu,M. ; Shaikh, P. A. (2021). Economic complexity, tourism, energy prices, and environmental degradation in the top economic complexity countries: fresh panel evidence. Environmental Science and Pollution Research 28, 68717–687316, https://doi.org/10.1007/s11356-021-15312-4 /
  • Agheli,L. ; Taghvaee, V. M. (2022). Political stability effect on environment and weak sustainability in Asian countries. Sustainability Analytics and Modeling 2, 1-6
  • Aluko,O. A. ; Opoku,E.E. O. ; Acheampong, A.O.(2023). Economic complexity and environmental degradation: Evidence from OECD countries. Business Strategy and the Environment 32(6), 2649-4014
  • Balsalobre-Lorente,D. ; Nur,T. ;Topaloğlu,E. E. ; Evcimen, C. (2024).The dampening effect of geopolitical risk and economic policy uncertainty in the linkage between economic complexity and environmental degradation in the G-20. Journal of Environmental Management 351, 119679
  • Boleti, E.; Garas, A.; Kyriakou, A.; Lapatinas, A. (2021). Economic Complexity and Environmental Performance: Evidence from A World Sample. Environ. Model., 26, 251–270. https://doi.org/10.1007/s10666-021-09750-0.
  • Bourguignon, F. (2004). The poverty-growth-inequality triangle. Indian Council for Research on International Economic Relations, New Delhi Working Paper No. 125. https://ideas.repec. org/p/ind/icrier/125.html.
  • Can,M. ; Gozgor,G. (2017). The impact of economic complexity on carbon emissions: evidence from France. Environ Sci Pollut Res 24, 16364–16370, doi: 10.1007/s11356-017-9219-7
  • Carpenter,S. R.; Caraco; N. F. ; Correll, D. L. ; Howarth, R. W. ; Sharpley,A. N. ; Smith, V. H. (1998). Nonpoint Pollution of Surface Waters with Phosphorus and Nitrogen. Ecological Applications 8, 559-905 https://doi.org/10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO;2
  • Chokr, N. N. (2023). Ecological footprint. Salem Press Encyclopedia, p.2
  • Chu L.K. (2020). Economic structure and environmental Kuznets curve hypothesis: new evidence from economic complexity. Appl Econ Lett 0:1–5 https://doi.org/10.1080/13504851.2020.1767280
  • Demir, C. (2019) “Dışa Açılma Ve Kamu Harcamaları: OECD Ülkeleri İçin Panel Veri Analizi, Kırklareli Üniversitesi Sosyal Bilimler Dergisi Haziran, 3(2), 80-96.
  • Dietz, T.; Rosa, E.A. (1994). Rethinking the environmental impacts of Population, Affluence and Technology. Human Ecology Review, 1(2): 277–300.
  • Doğan, B.; Saboori, B.; Can, M., (2019). Does economic complexity matter for environmental degradation? An empirical analysis for different stages of development. Environmental Science and Pollution Research 26:31900–31912
  • Doğan, E.; Türkekul, B. (2016). CO2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environ Sci Pollut Res Int. 23(2), 1203-13. doi: 10.1007/s11356-015-5323-8.
  • Driscoll, J. C. ve Kraay, A. C. (1998) “Consistent covariance matrix estimation with spatially dependent panel data” Review of Economics and Statistics, 80(4), 549-560.
  • Grossman, G. M.; Krueger, A. B. (1991). Environmental Impacts of a North American Free Trade Agreement. National Bureau of Economic Research Working Paper No. 3914.
  • Grossman, G. M., A. B. Krueger,A.B.( 1995). Economic Growth and the Environment. The Quarterly Journal of Economics 110(2), 353–377. doi:10.2307/2118443.
  • Gao, J.; Zhou, T. (2018). Quantifying China’s regional economic complexity. Physica A 492, 1591–1603. http://dx.doi.org/10.1016/j.physa.2017.11.084.
  • Hartmann, D.; Guevara,M. R.; Jara-Fıgueroa, C. ; Arıstaran, M.; Hıdalgo, C.A. (2017).Linking Economic Complexity, Institutions, and Income Inequality. World Development, 93, 75–93.
  • Hidalgo,C.A ; Hausmann,R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences, 106(26), 10570-10575, 10.1073/pnas.0900943106
  • Hu, G.; Can,M. ; Paramati,S.R. ; Doğan,B. ; Fang.J. (2020). The Effect of Import Product Diversification on Carbon Emissions: New Evidence for Sustainable Economic Policies. Economic Analysis and Policy 65, 198–210. doi:10.1016/j.eap.2020.01.004.
  • Ikram,M. ; Xia,W. ; Fareed,Z. ; Shahzad, U. ; Rafque,M.Z. (2021). Exploring the nexus between economic complexity, economic growth and ecological footprint: contextual evidence from Japan. Sustain Energy Technol Assess 47. https://doi.org/10.1016/j.seta.2021. 101460
  • Im, K., Pesaran, H., Shin, Y., (2003), Testing for unit roots in heterogenous panels, Journal of Econometrics, vol. 115.
  • Lapatinas, A.; Garas, A.; Boleti, E.; Kyriakou, A. (2019). Economic complexity and environmental performance: Evidence from a world sample. MPRA Paper No. 92833, https://mpra.ub.uni-muenchen.de/92833/
  • Majeed,M.T. ; Mazhar,M. ; Samreen,I. ; Tauqir,A. (2022). Economic complexities and environmental degradation: evidence from OECD countries. Environment, Development and Sustainability, 24:5846–5866 https://doi.org/10.1007/s10668-021-01687-4
  • Mazzitelli,D. ; Aura, F.(2019). The Reduction of Environmental Pollution in Africa: Ict and Co2 Emissions. 39th International Scientific Conference on Economic and Social Development – "Sustainability from an Economic and Social Perspective"- Lisbon, 29-30 April. pp.75-84
  • Neagu, Olimpia, and Mircea Constantin Teodoru. (2019). "The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries" Sustainability, 2(497), 1-30. https://doi.org/10.3390/su11020497
  • Persyn, D. ve J. Westerlund (2008) “Error Correction Based cointegration Tests for Panel Data” Stata Journal 8 (2), 232-241.
  • Pesaran, H., (2003), A Simple Panel Unit Root Test in the Presence of Cross Section Dependence, Cambridge Working Papers in Economics 0346, Faculty of Economics (DAE), University of Cambridge
  • Rafiq, M. A.; Rauf, A.; Shakir,S. S. ; Abbas,A.M.A. ; Sun,H. ;Abid,S. (2023). Exploring the Intertwined Nexus between Globalization, Energy Usage, Economic Complexity, and Environmental Quality in Emerging Asian Economies: A Pathway Towards a Greener Future. Environmental Science and Pollution Research 30:100431–100449 https://doi.org/10.1007/s11356-023-29330-x
  • Rees, W.; Wackernagel, M. (1996). Urban ecological footprints: Why cities cannot be sustainable—And why they are a key to sustainability. Environmental Impact Assessment Review, 16(4), 223-248 https://doi.org/10.1016/S0195-9255(96)00022-4
  • Romero,J. P. ; Gramkow, C. (2021). Economic complexity and greenhouse gas emissions. World Development, 139, 1-18
  • OEC World (2024). The observatory of Economic Complexity. https://oec.world/en
  • Saatçi, M.; A. Aslan (2007). Türkiye İmalat Sanayinde İthalatın Piyasayı Disipline Etme Hipotezinin Testi: Panel Veri Yaklaşımı. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 29, 1-15.
  • Shah,M.H. ; Chun,H. D.; Wang, Y.; Ullah, I.; Hassan,S. T. ; Fareed,Z. (2023). Analyzing Nexus between Economic Complexity, Renewable Energy, and Environmental Quality in Japan: A New Evidence from QARDL Approach Hindawi. International Journal of Energy Research, ID 1683231, 14 pages https://doi.org/10.1155/2023/1683231
  • Stern, D. I. (2004). The Rise and Fall of the Environmental Kuznets Curve. World Development 32 (8): 1419–1439. doi:10.1016/j.worlddev.2004.03.004.
  • Swart, J.; Brinkmann, L. (2020). Economic complexity and the environment: evidence from Brazil. Universities and Sustainable Communities: Meeting the Goals of the Agenda 2030 p3-45. https://doi.org/10.1007/978-3-030-30306-8
  • The Atlas of Economic Complexity, Harvard Kennedy School Growth Lab., Growthlab@Hks.Harvard.Edu., https://atlas.cid.harvard.edu/ (erişim 09.06.2024)
  • Tietenberg, T.; Folmer, H. (2005). The international yearbook of environmental and resource economics 2005/2006: a survey of current issues. Edward Elgar Publishing
  • Ullah,A. ; Ahmet,M. ; Raza,S. A. ; Ali,S. (2021). A threshold approach to sustainable development: Nonlinear relationship between renewable energy consumption, natural resource rent, and ecological footprint. Journal of Environmental Management 295, 1, 113073 https://doi.org/10.1016/j.jenvman.2021.113073
  • Wang,F. ; Taghvaee, V. M. (2023). Impact of technology and economic complexity on environmental pollution and economic growth in developing and developed countries: using IPAT and STIRPAT models. Environmental Science and Pollution Research 30:73349–73360 https://doi.org/10.1007/s11356-023-27569-y
  • Wang, M.; Arshed, N.; Munir, M.; Rasool,S.F.; Lin, W. (2021). Investigation of the STIRPAT Model of Environmental Quality: A Case of Nonlinear Quantile Panel Data Analysis, Environment Development Sustainability, 23, 12217–12232.
  • Westerlund, J. (2007) “Testing for Error Correction in Panel Data” Oxford Bulletin of Economics and Statistics 69(6): 709-748.
  • World Bank Open Data (2024). The World Bank. https://data.worldbank.org/
  • You,W. ; Zhang,Y.; Lee,C.-C. (2022). The dynamic impact of economic growth and economic complexity on CO2 emissions: An advanced panel data estimation. Economic Analysis and Policy, 73, 112-128.
  • Zou, H. ; Zhang, Y. (2022). Does environmental regulatory system drive the green development of China’s pollution-intensive industries? Journal of Cleaner Production 330,1-12 https://doi.org/10.1016/j.jclepro.2021.129832
Toplam 46 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Makro İktisat (Diğer)
Bölüm Makaleler
Yazarlar

Ömer Tanju Durusoy 0009-0009-1299-5600

Yayımlanma Tarihi 23 Aralık 2024
Gönderilme Tarihi 24 Haziran 2024
Kabul Tarihi 1 Ekim 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 8 Sayı: 4

Kaynak Göster

APA Durusoy, Ö. T. (2024). Gelişmiş Ve Gelişmekte Olan Ülkelerde Ekonomik Karmaşıklık (Complexity) İle Çevresel Bozulma Arasındaki İlişki: 2003-2023 Yılları İçin Panel Veri Analizi. Politik Ekonomik Kuram, 8(4), 922-936. https://doi.org/10.30586/pek.1503635

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