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Investigating socio-economic ranking of cities in Turkey using data envelopment analysis (DEA) and linear discriminant analysis (LDA)

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  • Mehmet Güray Ünsal

    (Uşak University)

  • Ezgi Nazman

    (Gazi University)

Abstract

Decision makers have to analyze both social and economic situation of the cities because of the budget constraint of the governments while considering investment to the cities. In this respect, data envelopment analysis (DEA) has been widely used to determine the efficiency of the cities and to make clear the needs of the cities calling decision making units. In this study, socio-economic ranking of the cities of Turkey is presented by using DEA and linear discriminant analysis and the cities are compared to each other according to the socio-economic development efficiency scores. Then, the highlighted inferences about the cities are presented according to the NUTs-1 classification.

Suggested Citation

  • Mehmet Güray Ünsal & Ezgi Nazman, 2020. "Investigating socio-economic ranking of cities in Turkey using data envelopment analysis (DEA) and linear discriminant analysis (LDA)," Annals of Operations Research, Springer, vol. 294(1), pages 281-295, November.
    • Handle: RePEc:spr:annopr:v:294:y:2020:i:1:d:10.1007_s10479-017-2748-0
    DOI: 10.1007/s10479-017-2748-0
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