You are here

Gelişmekte Olan Ülkelerin Makro Performanslarının AHP ve TOPSIS Yöntemleri ile Karşılaştırılması

Comparison of Developing Countries’ Macro Performances with AHP and TOPSIS Methods

Journal Name:

Publication Year:

DOI: 
http://dx.doi.org/10.18074/cnuiibf.278

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
Study is aimed to compare the macroeconomic performances of developing countries (Turkey, Poland, Mexico, Chile, Malaysia, Hungary, Indonesia, China, Argentina and Brazil) for the period 2003-2013. In performance measurement, economic growth, inflation rate, unemployment rate and the current account balance/GDP indicators are used. AHP is used for determination the weight of criteria. Then, TOPSIS method is used for ranking the performances of developing countries. Findings show that Malaysia and the China have the best performed economies and generally they ranked either 1st or 2nd. While Turkey is ranked 5th in 2003, by year 2013 Turkey is at the last rank.
Abstract (Original Language): 
Bu çalışmada gelişmekte olan ülkelerin (Türkiye, Polonya, Meksika, Şili, Malezya, Macaristan, Endonezya, Çin, Arjantin ve Brezilya) 2003-2013 yılları arasındaki makroekonomik performanslarının karşılaştırmalı olarak analiz edilmesi amaçlanmıştır. Performans ölçümünde, ekonomik büyüme, enflasyon oranı, işsizlik oranı ve cari işlemler dengesi/GSYİH kriterleri esas alınmıştır. Çalışmada öncelikle AHP yöntemi kullanılarak ağırlığı en fazla olan kriter belirlenmiş, daha sonra TOPSİS yöntemi uygulanarak gelişmekte olan ülkelerin performansları sıralanmıştır. Yapılan analizler sonucunda çalışmada yer alan ülkeler arasında en yüksek performans gösteren ülkelerin Malezya ve Çin olduğu belirlenmiştir. Türkiye ise 2003 yılında 5. sırada yer alırken, 2013 yılı itibariyle 10 ülke arasında en son sırada yer almıştır.
131
146

JEL Codes:

REFERENCES

References: 

Asadzadeh A., Sujit, K. S., Farzin, M. & Kotter, T. (2014). Assessing Site Selection of New Towns Using TOPSIS Method under Entropy Logic: A Case Study: New Towns of Tehran Metropolitan Region, Environmental Management and Sustainable Development, 3(1), 123-137.
Cheng, E.W.L. & Li, H. (2001). Analytic Hierarchy Process: An Approach to Determine Measures for Business Performance, Measuring Business Excellence, 5(3), 30-37.
Cheng, E.W.L., Li, H. & Ho, D.C.K. (2002). Analytic Hierarchy Process (AHP), A Defective Tool When Used Improperly, Measuring Business Excellence, 6(4), 33-37.
Deliktas, E. & Balcilar, M. (2005). A Comparative Analysis of Productivity Growth, Catch-Up, and Convergence in Transition Economies, Emerging Markets Finance and Trade, 41(1), 6-28.
Demir, A. & Bakirci, F. (2014). OECD Üyesi Ülkelerin Ekonomik Etkinliklerinin Veri Zarflama Analiziyle Ölçümü, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 28(2), 109-132.
Çankırı Karatekin Üniversitesi Çankırı Karatekin University
İktisadi ve İdari Bilimler Journal of The Faculty of Economics
Fakültesi Dergisi and Administrative Sciences
144
Demireli, E. & Ozdemir A.Y. (2013). Seçilmiş Avrupa Ülkelerinde Makroekonomik Performans Ölçümü: Şans Kısıtlı Veriz Zarflama Analizi ile Bir Uygulama, Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 37, 303-320.
Dincer, S.E. (2011). Multi-Criteria Analysis of Economic Activity for European Union Member States and Candidate Countries: TOPSIS and WSA Applications, European Journal of Social Sciences, 21(4), 563-572.
Eleren, A. & Karagul, M. (2008). Performance Analysis of Turkish Economy Between 1986-2006, Yönetim ve Ekonomi Dergisi, 15, 1-14.
El-Santawy, M.F. & Ahmed, A.N. (2013). An Information Entropy Weighting Method Combined to TOPSIS Approach for Ranking Consulting Firms, Life Science Journal, 10(1), 1060-1063.
Fare, R., Grosskopf, S., Norris, M. & Zhang, Z. (1994). Productivity Growth, Technical Progress and Efficiency Changes in Industrial Countries, American Economic Review, 84(1), 66–83.
Guran, C.M. & Tosun, M.U. (2005). Türkiye Ekonomisinin Makro Ekonomik Performansı: 1951-2003 Dönemi için Parametrik Olmayan Bir Ölçüm, Ankara Üniversitesi SBF Dergisi, 60(4), 89-115.
Hsu, M., Luo, X.C. & Gary, H. (2008). The Fog of OECD and Non-OECD Country Efficiency: A Data Envelopment Analysis Approach, The Journal of Developing Areas, 42(1), 81-93.
Hwang, C. & Yoon, K. (1981). Multiple Attribute Decision Making, Berlin: Springer-Verlag.
Karabulut, K., Ersungur, Ş.M. & Polat, Ö. (2008). Avrupa Birliği Ülkeleri ve Türkiye’nin Ekonomik Performanslarının Karşılaştırılması: Veri Zarflama Analizi, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 22(1), 1-11.
Mahmoodzadeh, S., Shahrabi, J., Pariazar, M. & Zaeri, M.S. (2007). Project Selection by Using Fuzzy AHP and TOPSIS Technique International, Journal of Human and Social Sciences, 1(3), 135-140.
Mangir, F. & Erdogan, S. (2011). Comparison of Economic Performance among Six Countries in Global Financial Crisis: The Application of Fuzz TOPSIS Method, Economics, Management and Financial Markets, 6(2), 122–136.
Olson D.L. (2004). Comparison of Weights In TOPSIS Models, Pergamon Mathematical and Computer Modeling, www.elsevier.com/-locate/mcm.
K.Eyüboğlu Bahar/Spring 2016
Cilt 6, Sayı 1, ss.131-146 Volume 6, Issue 1, pp.131-146
145
Onder, E., Tas, N. & Hepsen, A. (2015). Economic Performance Evaluation of Fragile 5 Countries After The Great Recession of 2008-2009 Using Analytic Network Process and TOPSIS Methods, Journal of Applied Finance & Banking, 5(1), 1-17.
Opricovic, S. & Gwo-Hshiung, T. (2004). Compromise Solution by MCDM Methods: A Comparative Analysis of VIKOR and TOPSIS, European Journal of Operational Research, 156, 445-455.
Ramanathan, R. (2006). Evaluating the Comparative Performance of Countries of the Middle East and North Africa: A DEA Application, Socioeconomic Planning Sciences, 40(2), 156-167.
Rao, R.V. (2008). Evaluation of Environmentally Conscious Manufacturing Programs Using Multiple Attribute Decision-Making Methods, Proceedings of The Institution of Mechanical Engineers - Part B – Engineering Manufacture, 222(3), 441-451. Saaty, T.L. (1980). The Analytic Hierarchy Process, New York: McGraw-Hill.
Saaty, T.L. (1994). How to Make a Decision: The Analytic Hierarchy Process, Interfaces, 24(6), 19-43.
Saaty, T.L. (1997). A Scaling Method for Priorities in Hierarchical Structures, Journal of Mathematical Psychology, 15, 57-68.
Saaty, T.L. (2001). Decision Making with Dependence and Feedback, The Analytic Network Process, 2nd Edition, Pittsburgh-USA: RWS Publications.
Triantaphyllou, E. & Mann, S.H. (1995). Using The Analytic Hierarchy Process for Decision Making in Engineering Applications: Some Challenges, Inter’l Journal of Industrial Engineering: Applications and Practice, 2(1), 35-44.
Triantaphyllou, E., Shu, B., Sanchez, S.N. & Ray, T. (1998). Multi-Criteria Decision Making: An Operations Research Approach, Encyclopedia of Electrical and Electronics Engineering, 15, 175-186.
Tochukwu, U.L. (2014). Using the Analytic Hierarchy Process for Choosing a Best Smartphone, Doi: 10.13140/2.1.3788.7040.
Urfalioglu, F. & Genc, T. (2013). Çok Kriterli Karar Verme Teknikleri İle Türkiye’nin Ekonomik Performansının Avrupa Birliği Üye Ülkeleri İle Karşılaştırılması, Marmara Üniversitesi İ.İ.B.Dergisi, 35, 329-360.
Çankırı Karatekin Üniversitesi Çankırı Karatekin University
İktisadi ve İdari Bilimler Journal of The Faculty of Economics
Fakültesi Dergisi and Administrative Sciences
146
Yang, J. & Lee, H. (1997). An AHP Decision Model for Facility Location Selection, Facilities, 15(9-10), 241-254.
Zahedi, F. (1986). The Analytic Hierarchy Process-A Survey of the Method and Its Applications, Interfaces, 16(4), 96-108.

Thank you for copying data from http://www.arastirmax.com