Determination of Efficiency and Its Determinants in Olive Production in the Aegean Region: Bootstrap DEA Approach

The aim of this thesis study is to measure the efficiency of operators growing olives in the Aegean region and to reveal the determinants affecting this efficiency. The efficiency scores of the farms were determined by using the Bootstrap Data Envelopment Analyze (DEA) method with the data obtained by conducting a face-to-face survey with 154 of the farms divided into three groups using the Stratified Sampling Method. In the second stage, the significant impacts of the factors affecting the efficiency scores of the farms were revealed with the Truncated Regression method. The average of the bias-corrected efficiency scores obtained by the Bootstrap DEA method was 0,528. While the least efficient olive farms had a bias-corrected efficiency value of 0,119, the most efficient farms had 0,840. Considering the bias-corrected VRS technical efficiency values, the average of farms in the first group was 0,590; the average of the farms in the second group was 0,471 and the average of the farms in the third group was 0,472. Additionally, inefficient farms had an average efficiency of 54.69% less than the efficient ones. Efficient farms used 31,99% fewer trees, 0,37% less labor, 13,03% less nitrogen, 48,09% less phosphorus, 14,49% less potassium, 29,95% less pesticide, and 18,81% less and 13,02% more diesel compared to inefficient farms. In addition, experience, number of family members, FRS membership, cooperative membership, and non-agricultural activity variables were found to be significant in the Truncated Regression Analysis as well as Mu & gbreve;la province, secondary school, high school, Group 2 and Group 3 dummy variables. These results show that it is possible for olive producers to achieve the same production using 47.2% less input under VRS technologies. It has been concluded that the correct allocation of inputs used by olive enterprises can increase their efficiency. It has also been concluded that it is necessary to use chemical inputs and fossil fuels optimally in order to reduce environmental pollution and ensure food safety.

Dergi

KSU TARIM VE DOGA DERGISI-KSU JOURNAL OF AGRICULTURE AND NATURE

Yıl

2024

Cilt

27

Sayı

6

Sayfa

1459-1468

eISSN

2619-9149

DOI

10.18016/ksutarimdoga.vi.1397816

WoS UID

WOS:001359219000022