Candemir, M. and Koyubenbe, N. 2006. Effkiency analysis of dairy farms in the province of Izmir (Turkey): data envelopment analysis (DEA). J. Appl. h i m. Res., 29: 61-64. The production efficiency of dairy farms based on cross section data of 2003 covering 80 farms chosen by the method of proportional sampling, was determined by Data Envelopment Analysis (DEA) using three outputs and seven inputs. Fortynine percent of the dairy farms appeared to be fully efficient according to the assumption of constant return to scale (CRS), The average efficiency indices obtained under CRS and variable return to scale (VRS) were 0.934 and 0.954, respectively. Mean scale efficiency, on the other hand, was 0.978. Out of the selected dairy farms 21.2% were observed to be efficient in measuring the efficiency of single output milk production. Average efficiency indices under CRS and VRS and scale efficiency index were measured to be 0.782, 0.832 and 0.938, respectively. This information will contribute to extensive dairy farm projects to be carried out in future.
The main objective of this study is to determine the economical and social reasons of farmers' behaviors concerning the decrease in the area of cotton plantations in Izmir, Turkey. To do so, 84 cotton growers were interviewed in the province of Izmir. According to the results of the study, the cost variable in the cotton farms investigated was calculated as: €1,446.6 ha -1 ; gross margin, €524.4 ha -1 , and the yield, 4,018 kg ha -1 . In the studied area, 44% decrease in the area of cotton plantations was observed in 2006 compared to the year 2000. According to the farmers, some of the most important reasons for the decrease in the area of cotton plantations are the decrease (55%) in the producer prices and the increase in the costs (36%) of growing cotton. The possibility of giving up/not giving up cotton production is affected negatively by the social variable of the education level of the farmer, but the cotton growing experience of the farmer, and the farmer's family size, affect the possibility positively. As for the structural /economical variables, farm size negatively affects the possibility but satisfaction from premiums and gross margin have positive effects. Farmers also demand a 90% increase in the premiums and state that they will give up growing cotton unless there are enough subsidies. In this situation, it turns out that to prevent decreases in the area of cotton plantations, it is necessary to lower production costs and provide price stability, along with long term policies consistent with other crops, through which subsidies are determined prior to the season.Additional key words: cotton, farmers' behaviors, gross margin analysis, logit model. ResumenComportamiento de los agricultores en relación con la disminución de la superficie de las plantaciones de algodón de Turquía; el caso de Izmir Se estudiaron las razones económicas y sociales del comportamiento de los agricultores que expliquen la disminución de la superficie cultivada de algodón en la provincia de Izmir, Turquía. Para ello, 84 productores de la zona fueron encuestados. Según los resultados del estudio, el coste, el margen bruto y la producción en las fincas de algodón fueron 1.446,6€ ha -1 ; 524,4€ ha -1 y 4.018 kg ha -1 , respectivamente. En 2006 el área de las plantaciones estudiadas disminuyó un 44% respecto del año 2000 y, según los agricultores, se explica principalmente por la disminución (55%) de los precios de venta y por el aumento de los costes (36%) del algodón cultivado. La posibilidad de abandonar/no abandonar el cultivo está negativamente afectada por el nivel educativo del agricultor; en cambio, está afectada positivamente por la experiencia en el cultivo del agricultor y el tamaño de la familia de éste. En cuanto a las variables estructurales/económicas, el tamaño de la finca afecta negativamente, pero la posibilidad de obtener primas y el margen bruto tienen efectos positivos. Los agricultores también demandan un aumento del 90% en las primas y aseguran que abandonarán el cultivo a menos que obtengan subsid...
Bu çalışmanın amacı, Ödemiş'te bulunan İzmir Damızlık Sığır Yetiştiricileri Birliği (DSYB) üyesi işletmelerde sığırların barındırma koşullarını saptamaktır. Bu amaçla Birlik üyeleri arasından oransal örnekleme yöntemiyle seçilmiş 92 işletme, inek sayılarına göre 3 gruba ayrılmıştır. İnek sayıları 1., 2. ve 3. gruptaki işletmeler için sırasıyla, 5-20; 21-40 ve 41+ baş olarak belirlenmiştir. Araştırma sonuçları, incelenen işletmelerdeki ahırların örtülülük derecesi bakımından %8,7'sinin kapalı, %15,2'sinin yarı kapalı ve %76,1'inin sundurmalı tipte olduğunu göstermiştir. Sağmal ahırların %6,5'i toprak, %19,6'sı beton ve %73,9'u beton + toprak zemine sahiptir. İnek başına düşen ahır alanı 1., 2. ve 3. grup işletmeler için sırasıyla 22,2 m 2 ; 19,5 m 2 ; 18,2 m 2 'dir. Ahırların tam kapasite kullanılması durumunda inek başına 12,5 ile 15 m 2 arasında alan düşmektedir. Ancak, incelenen işletmelerin hiçbiri mevcut ahır kapasitelerini tam olarak kullanamamıştır. Ahır kullanım kapasiteleri %55 ile %80 arasında değişmiştir. Yetiştiricilerin %19,6'sı buzağılarını bireysel bölmelerde barındırmış, %82,6'sı ahırlarını gece aydınlatmış ve %64,1'i yoğun yem deposuna sahiptir. İşletmelerin hepsinde inekler sağım makinaları ile sağılmaktadır. Sağım sistemleri içinde en yaygın olanı seyyar kovalı (%47,8) sistem olup, bunu vakum hatlı sistem (%37) ve sağımhane (%15,2) takip etmektedir. İşletmelerin hiç birisinde gübre çukuru bulunmamaktadır. Sürü büyüklüğünün artması ile işletmelerde daha fazla oranda serbest ahırın, doğum bölmesinin, yem deposunun ve süt soğutma tankının bulunduğu ortaya çıkmıştır. Sonuç olarak sürülerin büyümesi ile barındırmayla ilgili özelliklerde iyileşmelerin olduğu söylenebilir. The objective of this study was to determine barning conditions of dairy farms registered to Cattle Breeders Association (CBA) Ödemiş district of İzmir. The 92 farms were selected among members of the CBA by proportional sampling method. The farms were divided into three groups according to the number of cattle: group 1 from 5 to 20, group 2 from 21 to 40 and group 3 with over 41 heads, respectively. The farms were divided into three groups according to the number of cattle: 5-20; 21-40 and over 41 heads, respectively. The research results indicated that 76.1% of the barns were shed type, 15.2% were corral, 8.7% were completely closed-up. The flooring types of these barns were a mixed of concrete and soil (73.9%), concrete (19.6%) and soil (6.5%). The stocking density for group 1, 2 and 3 were 22.2 m 2 , 19.5 m 2 and 18.2 m 2 per cow, respectively. The barns had a range of full cattle capacity from 12.5 m 2 to 15 m 2 per cow. But none of the farms surveyed did not use fully capacity of the barn. The present running capacity of farms were between 55% and 80%. It was observed that 19.6% of farms had a individual calf section, 82.6% had a night lighting at the barn, and 64.1% had a seperate concenrated feed store. All the farms were milked with milking machines. The percentage of farms with bucked milking machine was 47.8%, those with...
This study aimed to analyze the economic structure of dairy cattle farms, which were members of the Cattle Breeders’ Association in İzmir Province. For this purpose, Ödemiş, Tire, Bayındır and Kiraz districts of İzmir province were included in the study. The main material of the study consisted of data obtained from the farmers through the questionnaire. The data belongs to the 2017 production period. The number of farmers interviewed was determined as 67 by proportional sampling method. When the data were being analyzed, farms were evaluated in three groups depending on their size. According to farm groups, number of cows, respectively, was 5-14, 15-49 and over 50. In the farms surveyed, the average number of animals was 49 heads, the number of milked animals was 22 heads, the daily milk yield was 22 kg and the lactation yield was 7,123 kg. The total active capital of the farms was $373,449 and the share of animal capital in active capital was 22%. Total variable costs per farm were $44,599, fixed costs were $15,605 and production costs were $60,204. Variable costs constituted 74% of the production costs. The share of feed costs in variable costs was 78%. Gross production value was calculated as $67,211. The share of milk sales in gross production value was 61%. Average gross profit per farm is estimated as $22,612, net profit as $7,007 and proportional profit as 12%. It has been revealed that the net profit and proportional profit of small farms were negative. As a result, it can be said that the profitability level of medium and large-scale farms is high, whereas small scale farms meet with loses in the research region.
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