Browsing by Author "Akin A.C."

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Analyzing the Factors Affecting the Price of Broiler Chicken in Turkey Using the Boosting Regression Method
(2022-01-01) Arikan M.S.; Çevrimli M.B.; Polat M.; Mat B.; Akin A.C.; Özel Z.; Tekindal M.A.
Investigating the factors that affect broiler chicken prices in Turkey is vital for understanding market formation. The parameters and factors likely to influence the price of broiler chicken were analyzed for the period between 2010–2020 in Turkey. The study adopted the boosting regression model to predict the correlation between broiler chicken consumer price and variable factors like broiler feed, corn, soybean meal, wheat prices, the dollar exchange rate, producer price index (PPI), and agricultural PPI. The accuracy of the estimation of the regression model created according to the results of the analysis was calculated as 86%. The producer price index variable caused the highest relative impact (25.63%) on broiler chicken meat prices. The highest positive correlation was obtained between the producer price index and the agricultural PPI (r = 0.984). Thus, it was determined that chicken prices were affected by feed raw material prices and the general economic conditions in Turkey. In addition to improving the prevailing economic conditions, an effective price control mechanism is required to prevent excessive price fluctuations in the sector. Simultaneously, it is essential to create policies to reduce input costs.
DETERMINANTS OF CONSUMER EGG PRICES IN TURKIYE USING K-NEAREST NEIGHBORS REGRESSION ANALYSIS
(2024-06-01) Çevrimli M.B.; Mat B.; Polat M.; Arikan M.S.; Akin A.C.; Tekindal M.A.; Günlü A.
Economic analysis of beekeeping enterprises producing chestnut honey Black Sea region in Türkiye
(2023-01-01) Polat M.; Çevrİmlİ M.B.; Mat B.; Akin A.C.; Arikan M.S.; Tekİndal M.A.
Examining the production amount of milk and dairy products using network analysis in Turkey
(2022-01-01) Akin A.C.; Arikan M.S.; Polat M.; Mat B.; Çevrimli M.B.; Demirsöz M.; Tekindal M.A.
Among the sub-branches of the livestock industry in Turkey, milk and dairy product sector is one of the most active production areas. It is essential to examine the supply structure of the milk and dairy product sector and reveal the relations between the production amounts of the products to understand the overall structure of the sector. We determined the pattern network structures based on the amount of raw cow milk entering the industry and the production amounts of six products between 2010/01 and 2020/09. In addition, we studied the product-based development of the sector. The findings obtained from the network analysis of the production amounts of milk and dairy products indicated a relationship between the products and their interactions with each other. The amount of raw milk entering the production process was located in the center and displayed a positive relationship with all products it interacted with. The amount of raw cow milk entering the production process and the amount of cow cheese produced affected other products included in the network. In addition, among the products produced, the production amounts of ayran and yogurt exhibited the highest correlation coefficient with a moderate positive correlation value (0.609). The resulting social network graph provides important clues about the general production understanding of Turkey’s dairy sector and consumer preferences in the market.
The relationship between consumption of animal products and expenditure levels with Quality of Life Scores (SF-36) by veterinary students in Turkey [A relaçao entre o consumo de produtos de origem animal e níveis de gasto com Scores de Qualidade de Vida (SF-36) por alunos de veterinária na Turquia]
(2020-09-01) Tekindal M.A.; Çevriml M.B.; Akin A.C.; Mat B.; Arikan M.S.; Polat M.
The present study aimed to calculate the quality of life scores (Short Form-36) of veterinary students in Turkey and review their scores with regards to different socio-demographic characteristics. A total of 1211 students studying veterinary medicine in 26 different faculties in Turkey were selected by stratified sampling method and were asked questions concerning their consumption of and expenditures on foods of animal origin using the SF-36 questionnaire between October and December 2018. Significant differences were found between SF-36 components in terms of year level, gender, accommodation status, income level, and level of expenditures on foods and foods of animal origin (P<0.01). With the increase in the size of the budget set aside for animal products, the scores in the domains of physical functioning, vitality, mental health, pain, and general health perception also enhanced, and statistically significant differences were found (P<0.01). The low quality of life scores of the veterinary students can be improved by increasing their income level and consumption of foods of animal origin. This will ensure that they are energetic and have the desired level of mental and general health perceptions.