Journals / Journal of Yasar University / 2022 / Cilt: 17 - Sayı: 66

Urbanization and Environmental Development: A Panel Dynamic Threshold Model Analysis on BRICS-T Countries

Pages
351–366
Publication Date
2022-10-19
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Therefore, the findings suggest that the level of urbanization causes environmental destruction.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The neoclassical view, which has been re-marketed to the world economy with the motto "there is no other alternative" especially since the 1980s, has changed the socio-economic structure of many countries, causing the acceleration of the urban population, the deterioration of the quality of the economic growth process, and thus environmental destruction.
📊
Key Findings & Data:In this context, the main purpose of the study is to investigate the effects of the urbanization process on carbon emissions by using the panel dynamic threshold model for the BRICS-T countries for the period 1990-2014.
💡
Conclusion & Impact:Therefore, the findings suggest that the level of urbanization causes environmental destruction.
🔬Design:Modeling & Simulation
📍Scope:2014 Verileri
⚙️Variables:Domain Parameters

Abstract

The neoclassical view, which has been re-marketed to the world economy with the motto "there is no other alternative" especially since the 1980s, has changed the socio-economic structure of many countries, causing the acceleration of the urban population, the deterioration of the quality of the economic growth process, and thus environmental destruction. In this context, the main purpose of the study is to investigate the effects of the urbanization process on carbon emissions by using the panel dynamic threshold model for the BRICS-T countries for the period 1990-2014. The analysis findings showing the existence of long-term relationships between the variables reflect that there are unidirectional causality relationships from urbanization and energy consumption to carbon emissions, and bidirectional causality relationships between economic growth and carbon emissions. The dynamic panel threshold model, which highlights the model predictions, reveals that the increase in the urban population increases carbon emissions until the urbanization threshold value is reached in both the short- and long-term, and after the threshold value is exceeded, the urban population growth accelerates the carbon emission much more. In this context, the results of the analysis show that the long-term effects are more dominant than the short-term effects. Therefore, the findings suggest that the level of urbanization causes environmental destruction.

🔖

Cite This Article

AKINCI, M., KIRIKKALELİ, D., SEVİNÇ, H. (2022). Urbanization and Environmental Development: A Panel Dynamic Threshold Model Analysis on BRICS-T Countries. Journal of Yasar University, Cilt: 17 - Sayı: 66, 351–366. https://ajindex.com/articles/568817

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Akıncı, M., Sevinç, H. and Yılmaz, Ö. (2018). A Switching Regression Analysis on the Validity of Rebound Effect and Energy Efficiency in Turkish Economy. Wirth, E., Şimşek, O. and Apaydın, Ş. (Eds.). In Economic & Management Issues in Retrospect & Prospect (pp. 193-208). London: IJOPEC Publication. Al-mulali, U., Sab, C.N.B.C. and Fereidouni, H.G. (2012). “Exploring the Bi-Directional Long Run Relationship Between Urbanization, Energy Consumption, And Carbon Dioxide Emission”, Energy, 46, 156-167.
  2. Arellano, M. and Bover, O. (1995). Another Look at the Instrumental Variable Estimation of Error-Components Models. Journal of Econometrics, 68(1), 29-51.
  3. Başaran, Z. (2017). “A Brief Assessment on the Paris Climate Agreement and Compliance Issue“, Uluslararası İlişkiler, 14(54), 107-125.
  4. Caner, M. and Hansen, B. E. (2004). Instrumental Variable Estimation of a Threshold Model. Econometric Theory, 20(5), 813-843.
  5. Çınar, S. (2010). OECD Ülkelerinde Kişi Başına GSYİH Durağan Mı? Panel Veri Analizi. Marmara Üniversitesi İİBF Dergisi, 29(2), 591-601.
  6. Danish, Uluocak, R. and Khan, S. (2020). “Determinants of The Ecological Footprint: Role of Renewable Energy, Natural Resources, And Urbanization”, Sustainable Cities and Society, 54. Hansen, B. E. (1999). Threshold Effects in Non-Dynamic Panels: Estimation, Testing, and Inference. Journal of Econometrics, 93(2), 345-368.
  7. Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603.
  8. Hossain, S. (2011). “Panel Estimationforco2 Emissions, Energy Consumption, Economic Growth, Trade Openness and Urbanization of Newly Industrialized Countries”, Energy Policy, 39, 6991-6999.
  9. Hussain, M.N., Li, Z. and Sattar, A. (2021). “Effects of Urbanization and Nonrenewable Energy On Carbon Emission in Africa”, Environmental Science and Pollution Research, doi.org/10.1007/s11356-021- 17738-2.
  10. Jalil, A. ve Mahmud, S.F. (2009) “Environment Kuznets Curve for CO2 Emissions: A Cointegration Analysis for China”, Energy Policy 37 (12), 5167-5172.
  11. Jernnas, M. and Linner, B.O. (2019). “A Discursive Cartography of Nationally Determined Contributions to The Paris Climate Agreement”, Global Environmental Change, 55, 73-83.
  12. Khan, M. K., Khan, M. I., & Rehan, M. (2020). The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan. Financial Innovation, 6(1), 1-13.
  13. Kremer, S., Bick, A. and Nautz, D. (2013). Inflation and Growth: New Evidence from a Dynamic Panel Threshold Analysis.