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Rusya Federasyonu Yüksek Öğretim Kurumlarının Etkinlik Analizi

Yıl 2021, Cilt: 6 Sayı: 1, 1 - 18, 31.03.2021

Öz

Bu çalışmanın amacı Rusya Federasyonu Yüksek Öğretim Kurumlarının etkinlik ölçümlerinin yapılmasıdır. Etkinlik analizleri Rusya Federal Devlet İstatistik Servisi`nden elde edilen 2018 yılı verileri ile Veri Zarflama Analizinin Charnes-Cooper-Rhodes (CCR) ve Banker-Charnes-Cooper (BCC) yöntemleri kullanılarak yapılmıştır. Çalışma sonucunda, CCR yöntemi ile yapılmış etkinlik analizinde 36 bölgenin yükseköğretim kurumu, BCC yöntemi ile yapılmış etkinlik analizinde 57 bölgenin yükseköğretim kurumu etkin olmuştur. Etkin olmayan bölgeler için geliştirilmiş potansiyel iyileştirme önerileri incelendiğinde tüm bölgelerde mevcut kaynaklar ile daha fazla çıktı üretilmesi gerektiği, fakat çıktı değişkenlerinden gelirin yeterli düzeyde olduğu ve değişime ihtiyaç olmadığı tespit edilmiştir. Yapılan analiz sonucunda Rusya Federasyonu`nun Sibirya ve Uzak Doğu Federal Bölgelerinde lisansüstü eğitimin artırılması için politikaların geliştirilmesinin ve bu bölgelerde eğitim harcamalarının etkin kullanılmasının önemli olduğu tespit edilmiştir.

Kaynakça

  • Abankina, I. vd. (2013), Evaluating Performance of Universities Using Data Envelopment Analysis, Educational Studies Moscow, 2, 15-48, doi:10.17323/1814-9545-2013-2-15-48.
  • Ahn, T. (1987), Efficiency Related Issues in Higher Education: A Data Envelopment Analysis Approach, Ph.D. Thesis, Texas: The University of Texas at Austin.
  • Aleskerov, F. vd. (2017), Models of Data Envelopment Analysis and Stochastic Frontier Analysis in the Efficiency Assessment of Universities, Automation and Remote Control, 78(5), 902–923,
  • Arcelus, F.J. ve Coleman, D.R. (1995), An Efficiency Review of University Departments, International Journal of Systems Science, 28(7), 721-729, doi:10.1080/00207729708929431.
  • Athanassopoulos, A. D. ve Shale, E. (1997), Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis, Education Economics, 5(5), 117–134.
  • Avkiran, N. K. (2001), Investigating Technical and Scale Efficiencies of Australian Universities Through Data Envelopment Analysis, Socio-Economic Planning Sciences, 35, 57- 80.
  • Banker, R. D., Charnes A. ve Cooper, W.W. (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30(9), s.1078-1092.
  • Charnes A., ve Cooper W. (1962), Programming with Linear Fractional Functional, Naval Research Logistics Quarterly, 9(4), 181–186.
  • Charnes, A., Cooper, W.W., ve Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units, North-Holland Publishing Comp. European Journal of Operational Research, 2, s.429-444
  • Coelli T., Rao D., O’Donnell C., ve Battese G. (2005), An Introduction to Efficiency and Productivity Analysis. N.Y.: Springer.
  • Coelli, T. (1996). Assessing the Performance of Australian Universities Using Data Envelopment Analysis. Mimeo: Center for Efficiency and Productivity Analysis. University of New England.
  • Constitution of the Russian Federation, 15.06.2019. tarihinde Constitution of the Russian Federation http://www.constitution.ru adresinden alındı.
  • Cooper, W.W., Seiford, L.M., ve Tone, K. (2000). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Boston: Kluwer Academic Publishers.
  • Çınaroğlu E., Doruk, N. ve Avcı, T. (2018), Erciyes Üniversitesi Fakültelerinin Veri Zarflama Analizi Yöntemiyle Etkinlik Analizi, Uluslararası Yönetim İktisat ve İşletme Dergisi,14(4),s.1025-1043
  • Didenko, A., Loseva, O., ve Abdikeev, N. (2017), Measuring Efficiency of Regional Innovation System with DEA and PCA. 11th International Conference on Application of Information and Communication Technologies (AICT), Moscow, Russia.
  • Dundar, H. ve Darrell R. L., (1995), Departmental Productivity in American Universities: Economies of Scale and Scope, Economics of Education Review, 14(2), 119-144.
  • Fedorova, E. A. vd. (2018), Assessment of the Quality of Education in Russian Regions, Regional Economics: Theory and Practice, 16(2), 249–262. doi:10.24891/re.16.2.249.
  • Firsova, A. A. ve Chernyshova, G. Yu. (2018), Modeling of Regional High Education Systems' Efficiency by Data Envelopment Analysis, Advances in Computer Science Research, 85, 67-73.
  • GKS, 15.06.2019 tarihinde Federal State Statistics Service: http://www.gks.ru/bgd adresinden alındı
  • Gromov, A. (2017), The Efficiency of Russian Higher Education Institutions and Its Determinants, Higher School of Economics Research Paper No. WP BRP 40/EDU/2017.
  • Johnes J. (2006), Data Envelopment Analysis and Its Application to the Measurement of Efficiency in Higher Education, Economics of Education Review, 25(3), 273–288.
  • Johnes, G. ve Johnes, J. (1993), Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis, Oxford Economic Papers, New Series, 45(2), 332-347.
  • Kısaer, H. ve Karabacakoğlu, Ç. (2004), Çukurova Üniversitesi Diş Hekimliği Fakültesi Performans Analizi. Ankara: Milli Prodüktivite Merkezi Yayınları
  • Kutlar, A. ve Babacan, A. (2008), Türkiye’deki Kamu Üniversitelerinde CCR Etkinliği-Ölçek Etkinliği Analizi: DEA Tekniği Uygulaması, Kocaeli Üniversitesi SBE Dergisi, 15(1), 148-172.
  • Kutlar, A. ve Salamov, F. (2018), Azerbaycan Bölge Kamu Hastanelerinin Veri Zarflama Analizi ile Etkinliklerinin Değerlendirilmesi, Balkan ve Yakın Doğu Sosyal Bilimler Dergisi, 4(2), 65-75.
  • Kutlar, A., ve Kartal, M. (2004), Cumhuriyet Üniversitesinin Verimlilik Analizi: Fakülteler Düzeyinde Veri Zarflama Yöntemiyle Bir Uygulama, Kocaeli Üniversitesi SBE Dergisi, 8(2), 49-79.
  • Leshukov, O. V. vd. (2016), The Efficiency of Regional Higher Education Systems and Competition in Russia, Economy of Region, 12(2), 417-426, doi:10.17059/2016–2–8.
  • McMillan M., ve Wing H. C. (2006), University Efficiency: A Comparison and Consolidation of Results from Stochastic and Non-Stochastic Methods, Education Economics, 14(1), 1–30.
  • Mikusova, P. (2015) An Application of DEA Methodology in Efficiency Measurement of the Czech Public Universities, Procedia Economics and Finance, 25, 569-578.
  • Özel, G. (2014), Devlet Üniversitelerinin Etkinlik Analizi: Türkiye Örneği, Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 29(3), 124-136.
  • Tomkins, C. ve Gren, R. (1988), An Experiment in the Use of Data Envelopment Analysis for Evaluating the Efficiency of UK University Departments of Accounting, Financial Accountability and Management, 4, 147- 64.
  • Uzgören, E.. ve Şahin G. (2013), Dumlupınar Üniversitesi Meslek Yüksekokulları’nın Performanslarının Veri Zarflama Analizi Yöntemiyle Ölçümü, Uluslararası Yönetim İktisat ve İşletme Dergisi, 9(18), 91-110.
  • Vasin, M. ve Gamidullaeva, L. A. (2014), The Development of the Assessment Methods of the Organizational Potential of the Institutions of High Education, Asian Social Science, 10(24), 285-296, doi:10.5539/ass.v10n24p285.
  • Zinchenko, D. ve Egorov, A. (2019), Efficiency Modeling of Russian Universities, HSE Economic Journal, 23(1), 143–172.
  • Zinkovsky, K. V. ve Derkachev, P.V. (2018), Restructuring the System of Higher Education, Russian Education & Society, 60(5), 402-421, doi:10.1080/10609393.2018-1495019.

Efficiency Analysis of Higher Education Institutions of The Russian Federation

Yıl 2021, Cilt: 6 Sayı: 1, 1 - 18, 31.03.2021

Öz

The aim of this study is to measure the efficiency of Higher Education Institutions of the Russian Federation. Efficiency analyzes were made with 2018 data obtained from the Russian Federal State Statistics Service and Charnes-Cooper-Rhodes (CCR) and Banker-Charnes-Cooper (BCC) methods of data envelopment analysis are used. As a result of the analysis made with the CCR method, 36 subjects and with the BCC method, 57 subjects were effective. When the potential improvement suggestions developed for ineffective regions are analyzed; It was understood that more output should be produced with the resources available in all regions. As a result of the analysis, it has been determined that it is important to develop policies in order to increase postgraduate education in Siberia and the Far East Federal Regions of the Russian Federation and to use education expenditures effectively in these regions.

Kaynakça

  • Abankina, I. vd. (2013), Evaluating Performance of Universities Using Data Envelopment Analysis, Educational Studies Moscow, 2, 15-48, doi:10.17323/1814-9545-2013-2-15-48.
  • Ahn, T. (1987), Efficiency Related Issues in Higher Education: A Data Envelopment Analysis Approach, Ph.D. Thesis, Texas: The University of Texas at Austin.
  • Aleskerov, F. vd. (2017), Models of Data Envelopment Analysis and Stochastic Frontier Analysis in the Efficiency Assessment of Universities, Automation and Remote Control, 78(5), 902–923,
  • Arcelus, F.J. ve Coleman, D.R. (1995), An Efficiency Review of University Departments, International Journal of Systems Science, 28(7), 721-729, doi:10.1080/00207729708929431.
  • Athanassopoulos, A. D. ve Shale, E. (1997), Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis, Education Economics, 5(5), 117–134.
  • Avkiran, N. K. (2001), Investigating Technical and Scale Efficiencies of Australian Universities Through Data Envelopment Analysis, Socio-Economic Planning Sciences, 35, 57- 80.
  • Banker, R. D., Charnes A. ve Cooper, W.W. (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30(9), s.1078-1092.
  • Charnes A., ve Cooper W. (1962), Programming with Linear Fractional Functional, Naval Research Logistics Quarterly, 9(4), 181–186.
  • Charnes, A., Cooper, W.W., ve Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units, North-Holland Publishing Comp. European Journal of Operational Research, 2, s.429-444
  • Coelli T., Rao D., O’Donnell C., ve Battese G. (2005), An Introduction to Efficiency and Productivity Analysis. N.Y.: Springer.
  • Coelli, T. (1996). Assessing the Performance of Australian Universities Using Data Envelopment Analysis. Mimeo: Center for Efficiency and Productivity Analysis. University of New England.
  • Constitution of the Russian Federation, 15.06.2019. tarihinde Constitution of the Russian Federation http://www.constitution.ru adresinden alındı.
  • Cooper, W.W., Seiford, L.M., ve Tone, K. (2000). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Boston: Kluwer Academic Publishers.
  • Çınaroğlu E., Doruk, N. ve Avcı, T. (2018), Erciyes Üniversitesi Fakültelerinin Veri Zarflama Analizi Yöntemiyle Etkinlik Analizi, Uluslararası Yönetim İktisat ve İşletme Dergisi,14(4),s.1025-1043
  • Didenko, A., Loseva, O., ve Abdikeev, N. (2017), Measuring Efficiency of Regional Innovation System with DEA and PCA. 11th International Conference on Application of Information and Communication Technologies (AICT), Moscow, Russia.
  • Dundar, H. ve Darrell R. L., (1995), Departmental Productivity in American Universities: Economies of Scale and Scope, Economics of Education Review, 14(2), 119-144.
  • Fedorova, E. A. vd. (2018), Assessment of the Quality of Education in Russian Regions, Regional Economics: Theory and Practice, 16(2), 249–262. doi:10.24891/re.16.2.249.
  • Firsova, A. A. ve Chernyshova, G. Yu. (2018), Modeling of Regional High Education Systems' Efficiency by Data Envelopment Analysis, Advances in Computer Science Research, 85, 67-73.
  • GKS, 15.06.2019 tarihinde Federal State Statistics Service: http://www.gks.ru/bgd adresinden alındı
  • Gromov, A. (2017), The Efficiency of Russian Higher Education Institutions and Its Determinants, Higher School of Economics Research Paper No. WP BRP 40/EDU/2017.
  • Johnes J. (2006), Data Envelopment Analysis and Its Application to the Measurement of Efficiency in Higher Education, Economics of Education Review, 25(3), 273–288.
  • Johnes, G. ve Johnes, J. (1993), Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis, Oxford Economic Papers, New Series, 45(2), 332-347.
  • Kısaer, H. ve Karabacakoğlu, Ç. (2004), Çukurova Üniversitesi Diş Hekimliği Fakültesi Performans Analizi. Ankara: Milli Prodüktivite Merkezi Yayınları
  • Kutlar, A. ve Babacan, A. (2008), Türkiye’deki Kamu Üniversitelerinde CCR Etkinliği-Ölçek Etkinliği Analizi: DEA Tekniği Uygulaması, Kocaeli Üniversitesi SBE Dergisi, 15(1), 148-172.
  • Kutlar, A. ve Salamov, F. (2018), Azerbaycan Bölge Kamu Hastanelerinin Veri Zarflama Analizi ile Etkinliklerinin Değerlendirilmesi, Balkan ve Yakın Doğu Sosyal Bilimler Dergisi, 4(2), 65-75.
  • Kutlar, A., ve Kartal, M. (2004), Cumhuriyet Üniversitesinin Verimlilik Analizi: Fakülteler Düzeyinde Veri Zarflama Yöntemiyle Bir Uygulama, Kocaeli Üniversitesi SBE Dergisi, 8(2), 49-79.
  • Leshukov, O. V. vd. (2016), The Efficiency of Regional Higher Education Systems and Competition in Russia, Economy of Region, 12(2), 417-426, doi:10.17059/2016–2–8.
  • McMillan M., ve Wing H. C. (2006), University Efficiency: A Comparison and Consolidation of Results from Stochastic and Non-Stochastic Methods, Education Economics, 14(1), 1–30.
  • Mikusova, P. (2015) An Application of DEA Methodology in Efficiency Measurement of the Czech Public Universities, Procedia Economics and Finance, 25, 569-578.
  • Özel, G. (2014), Devlet Üniversitelerinin Etkinlik Analizi: Türkiye Örneği, Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 29(3), 124-136.
  • Tomkins, C. ve Gren, R. (1988), An Experiment in the Use of Data Envelopment Analysis for Evaluating the Efficiency of UK University Departments of Accounting, Financial Accountability and Management, 4, 147- 64.
  • Uzgören, E.. ve Şahin G. (2013), Dumlupınar Üniversitesi Meslek Yüksekokulları’nın Performanslarının Veri Zarflama Analizi Yöntemiyle Ölçümü, Uluslararası Yönetim İktisat ve İşletme Dergisi, 9(18), 91-110.
  • Vasin, M. ve Gamidullaeva, L. A. (2014), The Development of the Assessment Methods of the Organizational Potential of the Institutions of High Education, Asian Social Science, 10(24), 285-296, doi:10.5539/ass.v10n24p285.
  • Zinchenko, D. ve Egorov, A. (2019), Efficiency Modeling of Russian Universities, HSE Economic Journal, 23(1), 143–172.
  • Zinkovsky, K. V. ve Derkachev, P.V. (2018), Restructuring the System of Higher Education, Russian Education & Society, 60(5), 402-421, doi:10.1080/10609393.2018-1495019.
Toplam 35 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makaleleri
Yazarlar

Fuad Selamzade 0000-0002-2436-8948

Yayımlanma Tarihi 31 Mart 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 6 Sayı: 1

Kaynak Göster

APA Selamzade, F. (2021). Rusya Federasyonu Yüksek Öğretim Kurumlarının Etkinlik Analizi. Akademik İzdüşüm Dergisi, 6(1), 1-18.

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