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    DETERMINATION OF ENERGY USE EFFICIENCY OF COTTON PRODUCTION IN TURKEY: A CASE STUDY FROM HATAY PROVINCE
    (Parlar Scientific Publications (P S P), 2019) Semerci, Arif; Baran, Mehmet Firat; Gokdogan, Osman; Celik, Ahmet Duran
    This study aimed at determining the energy efficiency of cotton production in the Hatay region of Turkey. Data were gathered in the season of 2016-2017 from 136 enterprises which were chosen by the Simple Random Sampling Method. In order to determine the energy efficiency of cotton, data provided by farmers were utilized. The energy input and output in cotton production were calculated as 57134.25 MJ ha(-1) and 63270.54 MJ ha(-1), respectively. Energy inputs consist of; electrical by 20914.02 MJ ha(-1) (36.61%), chemical fertilizer by 15466.06 MJ ha(-1) (27.07%), diesel fuel by 13828.61 (24.20%), irrigation by 4378.50 MJ ha(-1) (7.66%), machinery by 1136.59 MJ ha(-1) (1.99%), chemical by 830.85 MJ ha(-1) (1.45%), seed energy by 311.99 MJ ha(-1) (0.55%), and human labour by 267.62 MJ ha(-1) (0.47%). Energy in cotton production could be classified as 68.94% direct, 31.06% indirect, 8.67% renewable, and 91.33% non-renewable. Energy efficiency, specific energy, energy productivity, and net energy in cotton production were calculated as 1.11, 10.66 MJ kg(-1), 0.09 kg MJ(-1,) and 6136.29 MJ ha(-1).
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    Determination of technical efficiency in cotton production by using data envelopment and stochastic frontier analysis methods: a case study of Hatay Province in Turkey
    (Universidade Federal Rural de Pernambuco, 2021) Parlakay, Oguz; Semerci, Arif; Celik, Ahmet Duran
    The main aim of this study is to determine the technical efficiency of cotton production in the province of Hatay, which is one of the major cotton production areas of Turkey. The data of the study were gathered from 136 cotton enterprises by the face-to-face survey method, and the Random Stratified Sampling method was used in determining the sample size. In the data analysis; the Data Envelopment Analysis (DEA), (Variable Return to Scale - Output Oriented), and Stochastic Frontier Analysis (SFA) methods, which are commonly being used in technical efficiency measurements of agricultural enterprises, were used. The determinants of technical efficiency were calculated by the Tobit Regression Analysis (for DEA) and TE Effects Model (for SFA). In the analysis, cotton yield per decare was considered as output; and seed usage (kg da-1), pure nitrate usage (kg da-1), pure phosphorus usage (kg da-1), labor force (h da-1), machinery power (h da-1), pesticide cost (USD da-1) and the number of irrigation were considered as inputs. According to the analysis results, the technical efficiency score average of cotton enterprises was found as 0,82 with the DEA-VRS method and was found as 0,86 with the SFA method. Besides, it was found that the enterprises which produce cotton at the minimum efficiency level, could increase the cotton production amount by 78% according to the DEA-VRS, and by 0,72% according to the SFA method. The scale efficiency average was calculated as 0,97. It was concluded that the main reason for high scale efficiency was derived from a false input combination; nonetheless, it was determined that there were enterprises which weren’t utilising scale efficiency. In the study, it was observed that some inputs were overused, such as the number of irrigation (36,79%), fertiliser-N (17,88%), and pesticide cost (8,22%). Hence, cotton yield could be increased with proper input combinations. Also, producer training activities about input usage levels and methods could be useful in order to increase awareness about the issue. © 2021, Universidade Federal Rural de Pernambuco. All rights reserved.
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    Functional Analysis of Cotton Production in Hatay Province
    (Univ Namik Kemal, 2018) Semerci, Arif; Celik, Ahmet Duran
    Among all other agricultural products, cotton has an important place in terms of added value contribution, and wide usage variety in different industries. Turkey is 8th biggest cotton producer in the World. Hatay province is one of the important cities in Turkey in terms of cotton production area. According to TSI data, in 4.160.098 da of field; 2.100.000 tons of cotton, 1.260.000 tons of cottonseed, and 756.000 tons of fiber were produced in Turkey by 2016. Hatay province has 11,54% of it's share in Turkey's total cotton production area, and it's has 10,57% of it's share in cotton, cottonseed and in fiber production in Turkey. The primary data of the study were obtained from 136 agricultural enterprises by using the Simple Random Sampling Method with a 95% confidence interval and a 5% average deviation. According to cotton production function analysis results, total elasticity coefficients (Sigma beta(i)) was found as 0,976. This situation indicates that decreasing returns to scale, the result that obtained is very close to constant returns to scale. Among the variables that are in the equation, highest marginal activity coefficients were; seed (X-1) with 13,64 and fertilizer input (X-2) with 4,18. Considering Marginal Rates of Technical Substution, comparing to energy (X-3) factor, ground rent value factor (X-7) was found being used that closest to economic optimum (0,98).