NONPARAMETRIC FIXED EFFECT PANEL DATA MODELS: RELATIONSHIP BETWEEN AIR POLLUTION AND INCOME FOR TURKEY
Year 2013,
Volume: 14 Issue: 1, 91 - 103, 03.10.2013
Rabia Omay
,
Esra Canpolat
Abstract
In this study, relationship between gross domestic product (GDP) per capita and sulfur dioxide (SO2) and particulate matter (PM10) per capita is modeled for Turkey. Nonparametric fixed effect panel data analysis is used for the modeling. The panel data covers 12 territories, in first level of Nomenclature of Territorial Units for Statistics (NUTS), for period of 1990-2001. Modeling of the relationship between GDP and (SO2) and PM10 for Turkey, the non-parametric models have given good results.
References
- Akbostancı, E., Türüt-Aşık, S. and Tunç, G.İ. (2009). The relationship between income and environment in Turkey: Is there an environmental Kuznets curve?, Energy Policy, 37:861-867.
- Azomahou, T. , Laisney, F. and Van, P.N. (2005). Economic Development and CO2 Emissions: Approach, Centre for European Economic Research, Discussion Paper, No. 05-56, ftp://ftp.zew.de/pub/zew-docs/dp/dp0556.pdf
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- Van, P.N. (2010). Energy consumption and income: A semiparametric panel data analysis, Energy Economics, 32: 557-563.
- Zaim, K.K. (1997). Estimation of health and economic benefits of air pollution abatement for Turkey in 1990 and 1993, Energy Policy, 25(13): 1093-1097.
- Zaim, K.K. (1999). Modified GDP Through Health Cost Analysis of Air Pollution: The Case of Turkey, Environmental Management, 23(2): 271–277.
Uygulamalı Bilimler ve Mühendislik
Year 2013,
Volume: 14 Issue: 1, 91 - 103, 03.10.2013
Rabia Omay
,
Esra Canpolat
Abstract
Bu çalışmada, Türkiye için kişi başına düşen kükürt dioksit (SO2) ve partiküler madde (PM10) ile kişi başına düşen gayri safi yurtiçi hasıla (GSYH) arasındaki ilişki modellenmiştir. Söz konusu modellemede sabit etkili parametrik olmayan panel veri analizi kullanılmıştır. Panel veri, 1990-2001 periyodu için İstatistiki Bölge Birimleri Sınıflandırması (İBBS) birinci düzeyinde yer alan 12 bölgeyi kapsamaktadır. Türkiye için GSYH ile SO2 ve PM10 arasındaki ilişkinin modellenmesinde, parametrik olmayan modellerin iyi sonuçlar verdiği gözlenmiştir
References
- Akbostancı, E., Türüt-Aşık, S. and Tunç, G.İ. (2009). The relationship between income and environment in Turkey: Is there an environmental Kuznets curve?, Energy Policy, 37:861-867.
- Azomahou, T. , Laisney, F. and Van, P.N. (2005). Economic Development and CO2 Emissions: Approach, Centre for European Economic Research, Discussion Paper, No. 05-56, ftp://ftp.zew.de/pub/zew-docs/dp/dp0556.pdf
- Criado, C.O. (2009). Economic Growth and Air Pollution: Three empirical essays based Dissertation, University of Neuchatel, Department of Sciences Economics, Switzerland. methods,
- Ekonomik İşbirliği ve Kalkınma Örgütü (2008). OECD Çevresel Performans İncelemeleri: Türkiye, OECD, Paris.
- Evren, A., Tuna, E. (2011), Yarı Parametrik Kısmi Doğrusal Panel Veri Modelleriyle Uluslararası Göç, İstanbul Üniversitesi İktisat Fakültesi Ekonometri ve İstatistik Dergisi, (12. Uluslararası Ekonometri, Yöneylem Sempozyumu Özel Sayısı), 13: 95–113. İstatistik Green, P.J., Nonparametric dgeneralized Chapman&Hall, London. B.W. (1994). Regression an Linear Models,
- Gürlük, S., Karaer, F. (2004). Ekonomik Büyüme ile Çevre Kirliliği İlişkisinin İncelenmesi, Tarım Ekonomisi Dergisi, Sayı: 10.
- Öztürk, I., Acaravcı, A. (2010). CO2 Emissions, Energy Consumption and Economic Growth in Turkey, Renewable and Sustainable Energy Reviews, 14: 3220-3225.
- Hastie, T.J., and Tibshirani, R. (1990). Generalized Chapman&Hall. Models,
- Köne, A.Ç., Büke, T. (2012). A comparison for Turkish provinces’ performance of urban air pollution, Renewable and Sustainable Energy Reviews, 16: 1300-1310.
- Said, E. and Dickey, D.A. (1984). Testing for Unit Roots in Autoregressive Moving Average Models of Unknown Order, Biometrika, 71: 599–607.
- Sencar, P. (2007). Türkiye’de çevre Koruma ve Ekonomik Büyüme İlişkisi, Yüksek Lisans Tezi, Trakya Üniversitesi, Sosyal Bilimler Enstitüsü, Edirne.
- Su, L. and Ullah, A. (2011). Nonparametric and Semiparametric Panel Econometric Models: Handbook of Empirical Economics and Finance, pp. 455-497. Taylor & Francis Group, New York. and Testing,
- Sun, Y., Carroll, R.J. and Li, D. (2009). Semiparametric Estimation of Fixed Effects Panel Data Models with Smooth Coefficients. Advances in Econometrics 25: 101-129
- Türkiye Çevre Vakfı (2003). Türkiye’nin Çevre Sorunları 2003, Çevre Vakfı Yayını, Ankara.
- Türkiye İstatistik Kurumu (2009). Çevre İstatistikleri, Sorularla Resmi İstatistikler Dizisi-8, TÜİK Matbaası, Ankara.
- Wand, M.P., Ormerod, J.T. (2008). On Semiparametric O’Sullivan Penalized Splines, Australian and New Zealand Journal of Statistics, 50: 179–198. with
- Wood, S.N. and Augustin, N.H. (2002). GAMs with Integrated Model Selection Using Penalized Applications to Environmental Modelling, Ecological Modelling, 157(2): 157-177.
- Wood, S.N. (2006). Generalized Additive Models: Chapman&Hall, USA. with R,
- Van, P.N. (2010). Energy consumption and income: A semiparametric panel data analysis, Energy Economics, 32: 557-563.
- Zaim, K.K. (1997). Estimation of health and economic benefits of air pollution abatement for Turkey in 1990 and 1993, Energy Policy, 25(13): 1093-1097.
- Zaim, K.K. (1999). Modified GDP Through Health Cost Analysis of Air Pollution: The Case of Turkey, Environmental Management, 23(2): 271–277.