Analysis of the Ef f iciency Determinants of Turkey’s Agriculture Sector by Two-Stage Data Envelopment Analysis (DEA)

Hande ERDOGAN Aktan () and Pinar KAYA Samut ()
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Hande ERDOGAN Aktan: Akdeniz University, Faculty of Economics and Administrative Sciences, Department of Business Management
Pinar KAYA Samut: Akdeniz University, Faculty of Economics and Administrative Sciences, Department of Business Management

Ege Academic Review, 2013, vol. 13, issue 1, 21-28

Abstract: In the country-wide providing the efficiency will only be provided by distributing the resources in the non-efficient provinces and regions well-balanced by correcting the deficiencies and by building separate plans. For this purpose, the efficiency of Turkey’s agriculture sector in 2009 on the basis of provinces and regions by using two-stage data envelopment analysis (DEA) method is analyzed, the factors that have an impact on productivity are determined and the differences between provinces and regions are focused on. Firstly, an input-oriented DEA was performed by using 4 inputs and 1 output under variable returns to scale assumption. While the average technical efficiency was found to be 75%, it was understood that the cost of agricultural labour force and energy needed to be reduced. Secondly, the Tobit regression model was used to analyse the relation between the technical efficiency values of the provinces and the variables considered to have an external impact on the agricultural productivity. As a result of the predicted model; precipitation per m2, the households engaged in agriculture, literacy ratio and ratio of asphalt roads were determined as variables which contribute the agricultural efficiency of the provinces. Furthermore, regional efficiency differences were observed and results were evaluated.

Keywords: Agriculture; technical efficiency; tobit regression; Turkey; two-stage data envelopment analysis (search for similar items in EconPapers)
JEL-codes: C24 D24 O13 Q18 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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