Doğu Anadolu Projesi Bölge Kalkınma İdaresinde Yer Alan Organize Sanayi Bölgelerinin Etkinlik Değerlendirmesi

Year 2019, , 816 - 824, 15.10.2019

Mehtap Dursun

https://doi.org/10.17714/gumusfenbil.359866

Cited By: 2

Abstract

Organize
sanayi bölgeleri (OSB), sanayinin uygun alanlarda yapılandırılması, çevre
sorunlarının önlenmesi ve kaynakların etkin kullanımı için planlı sanayileşme
ve planlı kentleşme sağlamak amacıyla kurulan üretim alanlarıdır. OSB’ler,
1960'lardan beri Türk hükümeti tarafından kurulmaya ve desteklenmeye
başlanmıştır. Günümüzde Türkiye'nin tüm şehirlerinde (Artvin hariç) bir veya
daha fazla OSB bulunmaktadır. Bu OSB'lerin düşük doluluk oranları, OSB'lerin
etkin çalışıp çalışmadığı sorusunu gündeme getirmektedir. Bu çalışma, Doğu
Anadolu Projesi Bölge Kalkınma İdaresinde yer alan OSB'lerin etkinliklerini,
karar verme birimlerinin göreli etkinliklerini ölçmek için güçlü bir yöntem
olan veri zarflama analizi (VZA) temelli modeller kullanarak değerlendirmeyi
amaçlamaktadır.

Keywords

Çok ölçütlü karar verme, Karar destek sistemleri, Organize sanayi bölgeleri, Performans değerlendirme, VZA temelli modeller

Efficiency Evaluation of Organized Industrial Zones in East Anatolian Project Regional Development Administration

Abstract

Organized industrial zones (OIZs) are the production areas of goods and
services that are established to provide planned industrialization and planned
urbanization by structuring the industry in suitable areas, to prevent
environmental problems and to provide efficient use of resources. Organized
Industrial Zones (OIZs) have been established in 1960s for planned
industrialization and planned urbanization. Recently, there are one or more OIZs
in all cities of Turkey (except Artvin). The low occupancy rates of these OIZs
make the question of whether the OIZs work efficiently. This study aims to
evaluate the efficiencies of OIZs in East Anatolian Project Regional
Development Administration by using data envelopment analysis (DEA) based decision
models, which are powerful methods to measure the relative efficiencies of
decision making units.

Keywords

Multi-criteria decision-making, Decision support systems, Organized industrial zones, Performance evaluation, DEA based decision model

References

• Adler, N., Friedman, L. ve Sinuany-Stern, Z., 2002. Review of ranking methods in the data envelopment analysis context, European Journal of Operational Research, 140(2), 249-265.
• Andersen, P. ve Petersen, N.C., 1993. A procedure for ranking efficient units in data envelopment analysis, Management Science, 39, 1261-1264.
• Cansız, M., 2010, Türkiye’de Organize Sanayi Bölgeleri Politikaları ve Uygulamaları, Korza Basımevi, Ankara, 1-154s.
• Charnes, A., Cooper, W.W., Lewin, A.Y., Seiford, L.M., 1994, Basic DEA models, Data Envelopment Analysis: Theory, Methodology, and Applications, Springer, Netherlands, 23-47s.
• Charnes, A., Cooper, W.W. ve Rhodes, E., 1978. Measuring the efficiency of decision making units, European Journal of Operational Research, 2(6), 429-444.
• Chen, N., Xu, L. ve Chen, Z., 2017. Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and TOBIT models, Energy, 134, 659-671.
• Façanha, L.O. ve Resende, M., 2004. Price cap regulation, incentives and quality: The case of Brazilian telecommunications, International Journal of Production Economics, 92(2), 133-144.
• Fan, Y., Bai, B.B., Qiao, Q., Kang, P., Zhang, Y. ve Guo, J., 2017. Study on eco-efficiency of industrial parks in China based on data envelopment analysis, Journal of Environmental Management, 192, 107-115.
• Fried, H.O., Schmidt, S.S. ve Syaisawarng, S., 1999. Incorporating the Operating Environment into a Nonparametric Measure of Technical Efficiency, Journal of Productivity Analysis, 12(3), 249-267.
• Hu, J.L., Han, T.F., Yeh, F.Y. ve Lu, C.L., 2010. Efficiency of Science and Technology Industrial Parks in China, Journal of Management Research, 10( 3), 151-166.
• Hu, J.L., Yeh, F.Y. ve Chang, I.T., 2009. Industrial park efficiency in Taiwan, Journal of Information and Optimization Sciences, 30(1), 63-86.
• Izadikhah, M. ve Saen, R.F., 2015. A new data envelopment analysis method for ranking decision making units: An application in industrial parks, Expert Systems, 32(5), 596-608.
• Khodakarami, M., Shabani, A. ve Saen, R.F., 2014. A new look at measuring sustainability of industrial parks: a two-stage data envelopment analysis approach, Clean Techn Environ Policy, 16(8), 1577-1596.
• Li, X.B. ve Reeves, G.R., 1999. A multiple criteria approach to data envelopment analysis, European Journal of Operational Research, 115(3), 507-517.
• Liu, W., Tian, J., Chen, L., Lu, W. ve Gao Y., 2015. Environmental Performance Analysis of Eco-Industrial Parks in China: A Data Envelopment Analysis Approach, Journal of Industrial Ecology, 19(6), 1070-1081.
• Yolalan, R., 1993, İşletmeler aras göreli etkinlik ölçümü, Milli Produktivite Merkezi Yayınları, Ankara, 483s.
• Sun, J., Wu, J. ve Guo, D., 2013, Performance ranking of units considering ideal and anti-ideal DMU with common weights, Applied Mathematical Modelling, 37(9), 6301-6310.
• URL-1, Bilim, Sanayi ve Teknoloji Bakanlığı Sanayi Bölgeleri Genel Müdürlüğü web sitesi, http://kss.sanayi.gov.tr/. 3 Mart 2016.
• URL-2, Mevzuat Bilgi Sistemi, http://www.mevzuat.gov.tr/Metin1.Aspx?MevzuatKod=1.5.4562&MevzuatIliski=0&sourceXmlSearch=&Tur=1&Tertip=5&No=4562. 19 Mayıs 2016.
• Yenilmez, F. ve Girginer, N., 2012. Assessing export performance of textile companies in Eskisehir Organized Industrial Zone by use of data envelopment analysis (DEA), Tekstil ve Konfeksiyon, 22(1), 12.