Türkiye’de İl Bazlı Etkinliğin Stokastik Sınır Testi Analizi

Çalışmanın ana amacı 2004-2014 dönemi için Türkiye İstatistik Kurumundan elde edilecek veriler ışığında; Türkiye’nin il bazlı oluşturulan denklem ile pür etkinlik (“pure” efficiency) değerlerini bulmaktadır. Analiz yöntemi olarak Stokastik Sınır Yaklaşımı kullanılmıştır. Böylece bahsedilen dönem içinde hangi illerin etkin olduğu, sonucuna ulaşılabilecektir. Bu durum mevcut uygulamada olan ve ileride uygulanacak kalkınma planlarında, bölge veya il bazında verilecek teşvik paketlerinin belirlemesinde ve verilmiş yahut verilmekte olan teşvik, vergi muafiyeti veya negatif vergi gibi uygulamaların ele alınan dönem içindeki etkinlik durumunu tespit etmeyi amaçlamaktadır.

Anahtar Kelimeler:

Türkiye Ekonomisi, Stokastik Sınır Yaklaşımı, Etkinlik

STOCHASTİC FRONTİER ANALYSIS OF PROVINCIAL-BASED ACTIVITY IN TURKEY

This paper examines whether cities that pursue outward orientation policies and that are increasingly subsidy with the rest of the regional have seen an increase in economic performance. Increasing subsidy and interconnection among cities generates spatial and temporal dependence which will affect the production process of each city. We extend existing methodological tools robust stochastic frontier in parametric to estimate the regional frontier 81 cities over 2004-2014 and obtain more reliable measure of productivity and efficiency to better investigate the driven forces behind the catching-up productivity process among cities.

Keywords:

Turkish Economy, Stochastic Frontier Approach, Efficiency,

PDF

___

Baş İ., M., Artar, A., 1991. İşletmelerde verimlilik denetimi ölçme ve değerlendirme modelleri, Ankara, Milli Prodüktivite Merkezi yayınları No:435.
Besen, F.B., ‘‘Performans yönetim sistemi ve veri zarflama analizinin sağlık sektöründe uygulanması’’, Yayınlanmamış yüksek lisans tezi, İstanbul, İTÜ, SBE, 1994.
Farrell, M., J., 1957. The measurement of productivite efficiency, Journal of The Royal Statistical Society vol.120.
Farrell, M., Fieldhouse, 1962. Estimating efficient production functions under increasing returns to scale”, Journal of Royal Statistical Society Series A, 2.
Gülen, K., G., 1994. İşletme performans ölçüm teknikleri ve çimento sanayi uygulaması, Yayınlanmamış doktora tezi, İstanbul, İ.Ü.,S.B.E.
Karacabey A., A., 2001. Veri Zarflama Analizi, Ankara Üniversitesi Siyasal Bilgiler Fakültesi Tartışma Metinleri, No. 33.
Karasoy, H., 2000. Veri zarflama Analizi, Yayınlanmamış Yüksek Lisans Tezi. İstanbul, YTÜ,SBE. Kasnakoğlu H., 1980. Etkinlik ölçümü’’ , Verimlilik dergisi, Ankara, Milli Prodüktivite Merkezi yayınları.
Tarım A., 2001. Veri Zarflama Analizi Matematiksel Programlama Tabanlı Göreli Etkinlik Ölçüm Yaklaşımı, Sayıştay yayınları.
Iammarino, S., Rodríguez-Pose, A., Storper M., 2017. Why Regional Development Matters For Europe’s Economic Future? Publications Office of the European Union, Working Papers WP 07/2017.
Furková, A., Surmanová, K., 2011. Stochastic Frontier Analysis of Regional Competitiveness, Quantitative Methods in Economics, Vol. XII, No. 1, pp. 67–76.
Halkos, G., E., Tzeremes, N., G., 2005. A DEA Approach to Regional Development, MPRA Paper No. 3992, Online at https://mpra.ub.uni-muenchen.de/3992/.
Honma, S., and Hu, J., L., 2014. Panel Data Parametric Frontier Technique for Measuring Total-factor Energy Efficiency: Application to Japanese Regions, MPRA Paper No. 54304, Online at https://mpra.ub.uni-muenchen.de/54304/.
Sun, X., Loh, L., (2019) Sustainability Governance in China: An Analysis of Regional Ecological Efficiency, Sustainability, doi:10.3390/su11071958.
Zheng J., Zhang H., 1 Xing, Z., Re-Examining Regional Total-Factor Water Efficiency and Its Determinants in China: A Parametric Distance Function Approach, Water. 10. 1286. 10.3390/w10101286.
Sarıca, K., 2017. Parametric vs. Non-parametric Efficiency Assessment: Case of Power Plants in Turkey, Uludağ University Journal of The Faculty of Engineering, Vol. 22, No. 3.
Hossain M., K., Kamil AAA, Baten MA, Mustafa A., 2012 Stochastic Frontier Approach and Data Envelopment Analysis to Total Factor Productivity and Efficiency Measurement of Bangladeshi Rice. PLoS ONE 7(10): e46081. doi:10.1371/journal.pone.0046081
Nguyen, K., M., and Giang, T., L., 2005. Efficiency of Construction Firms in Vietnam, MPRA Paper No. 968, Online at https://mpra.ub.uni-muenchen.de/968/.
Yu, Y., 2008. A Stochastic Frontier Approach to Measuring Regional Technical Efficiency in China, MPRA Paper No. 18171, Online at https://mpra.ub.uni-muenchen.de/18171/
Chen, F., and Zhao, Y., 2019. Determinants and Differences of Grain Production Effciency Between Main and Non-Main Producing Area in China, sustainability
Linke, R., 2018. Ideas Made To Matter Government. Negative income tax, explained https://mitsloan.mit.edu/ideas-made-to-matter/negative-income-tax-explained. Erişim Tarihi: 20 Aralık 2019.
Amadeo, K., 2020. Government Subsidies (Farm, Oil, Export, Etc). What Are the Major Federal Government Subsidies? https://www.thebalance.com/government-subsidies-definition-farm-oil-export-etc-3305788. Erişim Tarihi: 15 Aralık 2019.
The World Trade Organization (WTO), 2020 https://www.wto.org/english/docs_e/legal_e/24-scm.pdf Erisim Traihi: 12 Aralık 2019.
Yayar, R., Demir Y., 2012. Bölgesel Kalkınma Ve Yatırım Teşvikleri: Tokat İlinde Bir Uygulama, Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Sayı: 39, Ocak-Haziran 2012 ss. 119-146
Öztürk, A., Türker, M., F., Merttürk, G., 2017. Orman Genel Müdürlüğü Sübvansiyon Uygulamaları ve Döner Sermaye Gelirlerine Etkisi: Artvin Orman Bölge Müdürlüğü Örneği Anadolu Orman Araştırmaları Dergisi, 3(2) 183-199.
Karkazis, J., Thanassoulis, E., 1998. Assessing the Effectiveness of Regional Development Policies in Northern Greece Using Data Envelopment Analysis Socio-Econ. Plann. Sci, Vol. 32, No. 2, pp. 123-137.
Tarı, R., Pehlivanoğlu, F., Özbilgin, M., 2017. Efficiency Measurement of Regional Development Agencies in Turkey by Using Data Envelopment Analysis (DEA). Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi Cilt:32, Sayı:2, ss. 47-78.
Galinienė, B., Dzemydaitė, G., 2012. Spatial Data Envelopment Analysis Method For The Evaluation of Regional Infrastructure Disparities, Social Technologies, 2(2), p. 390–403
Jayasuriya, R., and Wodon, Q., 2005 Measuring and Explaining the Impact of Productive Efficiency on Economic Development, The World Bank Economıc Review, VOL. 19, NO. 1, pp. 121–140.
Woo, Y., 2007. Evaluating Efficiency Level of Regional Development Program of Development-promoting Area using Data Envelopment Analysis, International Journal of Urban Sciences, 11:1, 30-41, DOI: 10.1080/12265934.2007.9693605
Hayatullah, A., 2017. Crop diversification and technical efficiency in Afghanistan: Stochastic frontier analysis. The University of Nottingham, Centre for Research in Economic Development and International Trade (CREDIT). Research Paper No. 17/04,
Rao, D.S. & O'Donnell, C., & Battese, G., 2003. Metafrontier Functions for the Study of Inter-regional Productivity Differences., CEPA Working Papers Series, Centre for Efficiency and Productivity Analysis. Working Paper Series No. 01/2003
De Graaff, T., 2019. On the estimation of spatial stochastic frontier models: an alternative skewnormal approach. The Annals of Regional Science pp 1–19 https://doi.org/10.1007/s00168-019-00928-9
Moradi, E., Pahlavani, M., Akbari, A., Bashrabadi, H., M., 2013. Comparative Analysis of Stochastic Frontier Partially non-parametric and Stochastic Frontier Parametric Methods Case Study: Measuring Cost Efficiency in Wheat Production in Iran. International Journal of Agricultural Management and Development Vol.3 No.2 pp.123-130 ref.27