Journals / Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2016 / Cilt: 38 - Sayı: 1

AIR POLLUTION AND INCOME RELATIONSHIP IN TURKISH PROVINCES: A SPATIAL APPROACH

Pages
127–146
Publication Date
2016-06-01
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)

Our results show that exclusion of spatial heterogeneity among the regions may lead to specification bias in EKC estimations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper investigates the existence of the Environmental Kuznets Curve (EKC) for Turkey by considering pollution spillovers among the provinces by using annual data covering the period 1990-2001.
📊
Key Findings & Data:Spatial econometrics techniques are employed to account for pollution spillovers.
💡
Conclusion & Impact:Our results show that exclusion of spatial heterogeneity among the regions may lead to specification bias in EKC estimations.
🔬Design:Research Article
📍Scope:2001 Verileri
⚙️Variables:Çevresel Kuznets Eğrisi · Kirlilik Yayılımı · Mekansal Ekonometri

Abstract

This paper investigates the existence of the Environmental Kuznets Curve (EKC) for Turkey by considering pollution spillovers among the provinces by using annual data covering the period 1990-2001. Spatial econometrics techniques are employed to account for pollution spillovers. Spatial interactions are measured by means of weight matrices based on contiguity and distance between the neighboring provinces. Our results show that exclusion of spatial heterogeneity among the regions may lead to specification bias in EKC estimations. The significance of pollution spillovers in the spatial estimates suggest that the relationship between pollution and per capita income is also affected by the localities of regions. Our results also imply that environmental quality cannot be sustained at the expense of neighboring regions. Therefore environmental policies should be accommodated by both regional and national policies to achieve sustainable development.

Özet

This paper investigates the existence of the Environmental Kuznets Curve (EKC) for Turkey by considering pollution spillovers among the provinces by using annual data covering the period 1990-2001. Spatial econometrics techniques are employed to account for pollution spillovers. Spatial interactions are measured by means of weight matrices based on contiguity and distance between the neighboring provinces. Our results show that exclusion of spatial heterogeneity among the regions may lead to specification bias in EKC estimations. The significance of pollution spillovers in the spatial estimates suggest that the relationship between pollution and per capita income is also affected by the localities of regions. Our results also imply that environmental quality cannot be sustained at the expense of neighboring regions. Therefore environmental policies should be accommodated by both regional and national policies to achieve sustainable development.

🔖

Cite This Article

Çatık, A. N., Karaçuka, M., Kışla, G. H. (2016). AIR POLLUTION AND INCOME RELATIONSHIP IN TURKISH PROVINCES: A SPATIAL APPROACH. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 38 - Sayı: 1, 127–146. https://ajindex.com/articles/6428

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (16)

  1. AKBOSTANCI, E., Türüt-Aşık, S. and Tunç, İ.,“The Relationship between Income and Environment In Turkey: Is There an Environmental Kuznets Curve?”, Energy Policy, 37(3), 2009, pp.861–867.
  2. ANSELIN, L. and Florax, R. J.,Small Sample Properties of Tests for Spatial Dependence in Regression Models: Some Further Results, In New Directions in Spatial Econometrics, ed. Luc Anselin and Rey Florax, Berlin, Springer-Verlag, 1995, pp. 21–74.
  3. ANSELIN L. and Florax, R. J.,Advancesin Spatial Econometrics. Methodology, Tools and Applications. Berlin, Springer-Verlag, 2004.
  4. ANSELIN, L.,Spatial Econometrics: Methods and Models, Dordrect, The Netherlands, Kluwer, 1988.
  5. ANSELIN, L., Spatial Econometrics, In Palgrave Handbook of Econometrics, ed. Terence C. Mills and Kerry Patterson, Basingstoke, Palgrave McMillan, 2006.
  6. ASGHARI, M., “Environmental Kuznets Curve and Growth Source in Iran”, Panoeconomicus, 59(5), 2012, pp. 609–623.
  7. CARSON, R. T., Yongil, J. and McCubbin, D. R. “The Relationship between Air Pollution Emissions and Income: US data”, Environment and Development Economics, 2(4), 1997, pp. 433–450.
  8. DASGUPTA, S., Laplante, B., Wang, H. and Wheeler, D. “Confronting the Environmental Kuznets Curve.”, Journal of Economic Perspectives, 16(1), 2002, pp. 147–168.
  9. DINDA, S., “Environmental Kuznets Curve Hypothesis: A Survey”, Ecological Economics, 49(4), 2004, pp. 431–455.
  10. ELHORST, P., “Specification and Estimation Panel Data Models”, International Regional Review, 26(3), 2003, pp. 244-268.
  11. ELGIN, C. and Öztunalı, O., “Environmental Kuznets Curve for the Informal Sector of Turkey (1950-2009)”, Panoeconomicus, 61(4), 2014, pp. 471-485.
  12. FLORAX, R. J. G. M., Folmer H., and Rey, S.J., “Specification Searches In Spatial Econometrics: The Relevance of Hendry’s Methodology”, Regional Science and Urban Economics, 33(23), 2003, pp. 557–579.
  13. GROSSMAN, G. M. and Krueger,A. B., “Environmental Impacts of the North American Free Trade Agreement”, NBER Working paper, 3914, 1991.
  14. KAYGUSUZ, K., “Energy Use and Air Pollution Issues in Turkey”, Clean, 35(6), 2007, pp. 539-547.
  15. KARAÇUKA, M. and Çatık. A. N., “A Spatial Approach to Measure Productivity Spillovers of Foreign Affiliated Firms In Turkish Manufacturing Industries.” The Journal of Developing Areas, 46 (2), 2012, pp. 65-83.
  16. KELLER, W.,“International Technology Diffusion”, Journal of Economic Literature, 42(3), 2004, pp. 752782. KUZNETS, S., “Economic Growth and Income Inequality”, American Economic Review, 45(1), 1955, pp.128. LEE,