An Experimental Factor Analysis Study Using SAW and TOPSIS to Select and Rank Organic Agriculture Cities in Turkey

Murat Cal, Ramazan Sahin


The agriculture sector supports Turkey’s GDP portfolio economically and helps establish a sustainable labor force. Turkey has certain competitive advantages in terms of the organic production of agricultural goods like figs and hazelnuts. We conduct a factor analysis using Simple Additive Weighting (SAW) and
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods combined with a 3-level set (export volume, export value, and adequacy rate) to rank 32 candidate cities of Turkey where organic agriculture activities should be given more emphasis to support overall production and export rates. 18 different sets of importance values were used for this purpose and their combinatorial effects on candidate cities were analyzed. The factor analysis results show that the cities Izmir, Aydin, Adiyaman, Gaziantep, Agri, Mus, and Van have the highest potentials among all Turkish cities in both
methods, while Sanliurfa also shows high potential for organic agriculture in the TOPSIS method.


Organic agriculture; SAW; TOPSIS; factor analysis; decision making

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ISSN 1869-6945


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