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Öğe Consumers’ knowledge, attitudes and behavior assessment about food safety : the case study of Hatay province of Turkey(2015) Yılmaz, Yalçın; Semerci, Arif; Tapkı, Nuran; Dağıstan, Erdal; Konuşkan Bozdoğan, DilşatGıda hassasiyetinin gelişimi toplumsal büyüme ile birlikte artmaya başladı. Tüketici bilinci giderek doğru ve dengeli bilginin genişlemesi ile artmaktadır. Artan bir şekilde tüketen dünyada gıda ürünlerini satın alma sırasında bireylerin bilgi, tutum ve davranışları önemlidir. Bu tür araştırma bulguları piyasaya ürün sunan şirketlerin stratejilerini olumlu şekilde etkiler. Bu çalışmanın amacı Hatay Bölgesinde yaşayan bireylerin davranış ve bilgi düzeylerini ve gıda maddeleri satın alırken ne düşündüklerini incelemektir. Veriler 2008 yılında 334 tüketici ile yüz yüze görüşme yoluyla ve 5’li likert ölçeği kullanılarak analiz edilmiştir. Anket araştırmasında tüketicilerin ortalama aylık harcaması 747,87 USD olup, %32,92 ile gıda harcamaları ilk sıradadır. Güvenli gıda alımında, gıda ürünleri imalatı, son kullanma tarihi ve depolama gibi tüm koşullar dikkate alınmıştır. Süper marketlerin en güvenilir alış veriş yerleri olduğu bulunmuştur ve araştırmaya katılan tüketicilerin %70,55’i gıda ile ilgili haber makaleleri tarafından olumlu veya olumsuz etkilenmiştir.Öğe Defne bitkisinin Hatay ili ekonomisindeki yeri ve önemi(2017) Semerci, Arif; Çelik, Ahmet DuranGünümüzde Odun Dışı Orman Ürünleri ekonomik ve kültürel açıdan giderek daha fazla önem kazanmaya başlamıştır. İkinci ürün olarak değerlendirilen ve tıbbi - aromatik bitkiler grubunda yer alan defne bitkisi genelde Türkiye özelde ise Hatay İli için özel önem arz etmektedir. Dünya defne yaprağı talebinin %90'a yakın kısmını karşılayan Türkiye bu üründe en önemli tedarikçi ülke konumundadır. Kullanım alanı oldukça yaygın olan defne, Türkiye tıbbi ve aromatik bitkiler dış satım değerinin yaklaşık %24'ünü oluşturmaktadır. Türkiye'nin defne yaprağı üretimi 20.000 tonu aşarak 2015 yılında bir önceki yıla oranla %39, defne yaprağı geliri ise %77 oranında artış göstermiş, üretilen miktarın %59'u ise dış satıma konu olmuştur. Hatay İli'nin hem tarihsel ve kültürel geçmişinde hem de ekonomik hayatında özel bir yere sahip olan defne, il orman yüz ölçümünün %40'lık bir kısmını oluşturmaktadır. İlde yaklaşık 7.500 kişiye iş imkânı sağlayan sektörün il ekonomisine katkısı yaklaşık 40 milyon TL'dir. Bu çalışmada Türkiye genelinde ve Hatay İli özelinde defne bitkisinin önemli farklı yaklaşımlarla ortaya konulmuştur. Çalışma sonunda defne yaprağı toplama, işleme ve pazarlama bağlamında tespit edilen sorunların çözümüne yönelik olarak; defne yaprağı, defne tohumu ve diğer defne ürünlerinin üretim miktarı yanında kalite düzeyinin artırılması ve sürdürülebilir bir yapıya sahip olunabilmesi için önerilerde bulunulmuşturÖğe 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 DuranThis 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).Öğe Determination of technical efficiency in cotton production by using data envelopment and stochastic frontier analysis methods: a case study of Hatay Province in Turkey(Univ Fed Rural Pernambuco, Dept Administracao, 2021) Parlakay, Oguz; Semerci, Arif; Celik, Ahmet DuranThe 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)f), 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.Öğe Economic analysis of cotton production in Turkey: A case study of Hatay city(Turkish Science and Technology Publishing (TURSTEP), 2019) Semerci, Arif; Çelik, Ahmet DuranAmong all other agricultural products, cotton has an important place in terms of added value contribution and a wide usage variety in different industries. Turkey was the 7th largest fiber cotton producer in the world by the time period of 2016/17 with a production amount of 703000 tons which provides 3.05% of the total global cotton production. Hatay city is one of the important cities in terms of cotton production. The province holds 10.32% of cotton production areas and provides 10.84% of the cottonseed and fiber cotton productions in Turkey. In the enterprises which were examined, input amounts that were used to produce 5.29 tons Raw cotton were as follows; 26.2 kg seed, 648.8 kg fertilizer, 8.5 lt agricultural pesticide, 404.9 lt diesel fuel, 6417.1 kw electricity, and 26.7 manpower. In terms of irrigation and harvest methods, 71.45% of the enterprises were using the surface irrigation method, and 58.38% of them used the machinery harvest method. Within the research area, subsidy excluded income per unit area was found as 2447.24 USD/ha and subsidy included income was found as 3529.39 USD/ha. It was found that, agricultural subsidies increase the income per unit area at a level of 44.22%, and deficiency payments have the biggest share in this contribution (1052.97 USD/ha).Öğe ECONOMIC ANALYSIS OF SUNFLOWER PRODUCTION IN THE VIEW OF OROBANCHE RESISTANCE CONDITIONS(Univ Agriculture, Fac Veterinary Science, 2013) Semerci, ArifThe objective of this research is to determine the use of production factors in 3 different types of sunflower production with respect to orobanche resistance in the agricultural enterprises in Thrace Region which is located at European continent of Turkey. The data used in this research have been obtained through questionnaire technique from 571 agricultural enterprises which were determined by Stratified Random Sampling Method in 2009. It has been reached to the highest yield by 189.30 kg da(-1) and the highest gross profit by 37.91 US$ da(-1) in the production of sunflower, resistant to orobanche. In the research, it has been determined that the rate of soil testing among the sunflower producers is considerably low and almost the whole of the production has been made under rainfed conditions. As a result of the research, it has been concluded that orobanche resistant sunflower, which has higher water productivity than other cultivars by 367.13 g m(3), will have a higher proportion in the sunflower cultivation areas in future because of its higher contribution to producer welfare.Öğe Economic analysis of sunflower production in the view of orobanche resistance conditions(2013) Semerci, ArifThe objective of this research is to determine the use of production factors in 3 different types of sunflower production with respect to orobanche resistance in the agricultural enterprises in Thrace Region which is located at European continent of Turkey. The data used in this research have been obtained through questionnaire technique from 571 agricultural enterprises which were determined by Stratified Random Sampling Method in 2009. It has been reached to the highest yield by 189.30 kg da-1 and the highest gross profit by 37.91 US$ da-1 in the production of sunflower, resistant to orobanche. In the research, it has been determined that the rate of soil testing among the sunflower producers is considerably low and almost the whole of the production has been made under rainfed conditions. As a result of the research, it has been concluded that orobanche resistant sunflower, which has higher water productivity than other cultivars by 367.13 g m3, will have a higher proportion in the sunflower cultivation areas in future because of its higher contribution to producer welfare.Öğe The effects of agricultural subsidies on sunflower cultivation and farmers' income: Evidence from Turkey(2013) Semerci, ArifIn this study the effects of both premium support application on sunflower cultivation area, production amount and support payments on producer income are investigated. In this study it is concluded that premium supports are inefficient on increasing sunflower cultivation area and production whereas it is concluded that it has an important role on producer income and in the determination of the market price. In fact, from a survey that we have carried out, it emerges that the area-based support (diesel oil, fertilizer etc. support) together with premium support increase the revenue of sunflower up to 27.74% per unit area and the gross profit in the proportion of 98.87%. This study indicates that in order to increase the sunflower production in Turkey the amounts of sunflower premium support, diesel oil and fertilizer should be rearranged in compliance with current market conditions. Moreover, for other agricultural products, the use of certified seed should also be included into agricultural support programmes. Production on well irrigated areas should be widened and the use of oil crops varieties with high oil ratio should be extended.Öğe THE EFFECTS OF AGRICULTURAL SUBSIDIES ON SUNFLOWER CULTIVATION AND FARMERS' INCOME: EVIDENCE FROM TURKEY(Univ Agriculture, Fac Veterinary Science, 2013) Semerci, ArifIn this study the effects of both premium support application on sunflower cultivation area, production amount and support payments on producer income are investigated. In this study it is concluded that premium supports are inefficient on increasing sunflower cultivation area and production whereas it is concluded that it has an important role on producer income and in the determination of the market price. In fact, from a survey that we have carried out, it emerges that the area-based support (diesel oil, fertilizer etc. support) together with premium support increase the revenue of sunflower up to 27.74% per unit area and the gross profit in the proportion of 98.87%. This study indicates that in order to increase the sunflower production in Turkey the amounts of sunflower premium support, diesel oil and fertilizer should be rearranged in compliance with current market conditions. Moreover, for other agricultural products, the use of certified seed should also be included into agricultural support programmes. Production on well irrigated areas should be widened and the use of oil crops varieties with high oil ratio should be extended.Öğe Effects of agricultural supports on farmer's revenue and product costs: the case of Turkey(Univ Fed Rural Pernambuco, Dept Administracao, 2016) Semerci, ArifSupporting of agricultural production is one of the up to date issues throughout the world. The part of the society, which is engaged in agricultural production sectors, is supported with different kinds of instruments and on different levels according to their unique agricultural conditions. World Trade Organisation regulates the supporting of agriculture with some rules. The countries that violate these rules are exposed to different sanctions. In parallel with the developments in the supporting of agriculture, there is effort for liberalisation of this support from production in Turkey. In 2012, Producer Support Estimate, used as an indication of the agricultural support among OECD countries, has been carried out 7% in the United States, 19.4% in EU, 11.6% OECD-wide and 22% in Turkey. Whereas only 2% of the 2015 budget of Turkey has been reserved for agricultural supports, this share constituted 42% of the EU budget in 2013. In the USA, however, the amount reserved for the agricultural supports was above 100 billion USD. In Turkey, the amount reserved for the agricultural supports in Turkey in 2015 is US$3.7 billion. Yet, the share for agricultural supports according to Agriculture Act accepted in 2006 was needed to be at least US$7.2 billion. In the present study, it is confirmed that agricultural support amount per enterprise in Turkey is 4.3 times lesser than EU average. Agricultural supports do have product cost reducing and producer revenue increasing effect. In Turkey, the wheat crop's share in total supports in 2013 is 23.58% and the sunflower crop's share is 34.21%. The supports provided an increase of 7.58% in wheat producers' revenue and an increase of 20.83% in sunflower producers' revenue. In order to secure the food offer and quality, to ensure an increase in the producer's welfare and help consumers to obtain food for reasonable prices, it is inevitable that the applied agricultural support policies should be long termed, based on planning, suitable for World Trade Organisation's rules and compatible with the EU Partner Agriculture Policy. In this context, reserving sufficient budget for agricultural support practices, determining the agricultural support unit prices more realistically without effecting the market prices and production level will play a significant role in making agriculture sector open to competition with other nations as well as reducing crop costs, in other words increasing the producers' revenues.Öğe Effects of agricultural supports on farmer’s revenue and product costs: The case of Turkey(Universidade Federal Rural de Pernambuco, 2016) Semerci, ArifSupporting of agricultural production is one of the up to date issues throughout the world. The part of the society, which is engaged in agricultural production sectors, is supported with different kinds of instruments and on different levels according to their unique agricultural conditions. World Trade Organisation regulates the supporting of agriculture with some rules. The countries that violate these rules are exposed to different sanctions. In parallel with the developments in the supporting of agriculture, there is effort for liberalisation of this support from production in Turkey. In 2012, Producer Support Estimate, used as an indication of the agricultural support among OECD countries, has been carried out 7% in the United States, 19.4% in EU, 11.6% OECD-wide and 22% in Turkey. Whereas only 2% of the 2015 budget of Turkey has been reserved for agricultural supports, this share constituted 42% of the EU budget in 2013. In the USA, however, the amount reserved for the agricultural supports was above 100 billion USD. In Turkey, the amount reserved for the agricultural supports in Turkey in 2015 is US$3.7 billion. Yet, the share for agricultural supports according to Agriculture Act accepted in 2006 was needed to be at least US$7.2 billion. In the present study, it is confirmed that agricultural support amount per enterprise in Turkey is 4.3 times lesser than EU average. Agricultural supports do have product cost reducing and producer revenue increasing effect. In Turkey, the wheat crop’s share in total supports in 2013 is 23.58% and the sunflower crop’s share is 34.21%. The supports provided an increase of 7.58% in wheat producers’ revenue and an increase of 20.83% in sunflower producers’ revenue. In order to secure the food offer and quality, to ensure an increase in the producer’s welfare and help consumers to obtain food for reasonable prices, it is inevitable that the applied agricultural support policies should be long termed, based on planning, suitable for World Trade Organisation’s rules and compatible with the EU Partner Agriculture Policy. In this context, reserving sufficient budget for agricultural support practices, determining the agricultural support unit prices more realistically without effecting the market prices and production level will play a significant role in making agriculture sector open to competition with other nations as well as reducing crop costs, in other words increasing the producers’ revenues. © 2016, Universidade Federal Rural de Pernambuco. All rights reserved.Öğe Estimating technical efficiency of dairy farms in turkey: a case study of Hatay Province(Univ Fed Rural Pernambuco, Dept Administracao, 2015) Parlakay, Oguz; Semerci, Arif; Celik, Ahmet DuranThe dairy sector plays a considerable role in the agricultural sector and is major source of household income for many farmers in Turkey. This study aims to estimate the technical efficiency for dairy farms in Hatay province of Turkey. The data obtained from 138 dairy farms, were analysed using the Data Envelopment Analysis (DEA) method. Annual milk production quantity, concentrate feed, roughage feed, veterinary costs, and human labour were used in the analysis as variables of efficiency model. The Tobit Regression Model was used to calculate the DEA scores in order to establish the causes of inefficiencies. According to the results of the DEA model, mean technical efficiency scores estimated for the Constant Return to Scale (CRS) and Variable Return to Scale (VRS) were 0.64 and 0.69, respectively. Inefficiency stems from a certain amount of product which can't be produced using the minimum input. Efficiencies are positively correlated with herd size, concentrate feed ratio, and farmers' experience. However, only herd size and concentrate feed ratio are statically significant with a level of 5 %. The increased herd size and concentrate feed ratio in total feed will enhance the profitability.Öğe Functional Analysis of Cotton Production in Hatay Province(Univ Namik Kemal, 2018) Semerci, Arif; Celik, Ahmet DuranAmong 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).Öğe Functional analysis of sunflower (Helianthus annuus L.) production in Turkey: A case study of Thrace region(Wfl Publ, 2013) Semerci, ArifSunflower (Helianthus annuus L.) is one of the most important agricultural crops which is commonly rotated with wheat in Thrace region of Turkey's European side. The input-output relation of sunflower production via Cobb-Douglas production function was examined in this study. The data used in the study were collected from 571 agricultural enterprises in 53 settlements in five provinces located in Thrace region of Turkey. Estimation of Cobb-Douglas production function indicated decreasing return of scale in sunflower production in Thrace region (sum of input production elasticity = 0.9451). All the variables in the equation were statistically significant at 5% level and only elasticity coefficient with respect to X-4 (precipitation) was negative. It was also found that seed, fertilizer, pesticide and land input in sunflower production were efficiently used. However, to get higher seed yield, the increase of fertilizer application will be necessary to reach optimum factor combinations.Öğe Gross margin analysis in dairy cattle: a case study of Hatay Province, Turkey(Univ Fed Rural Pernambuco, Dept Administracao, 2014) Semerci, Arif; Parlakay, Oguz; Celik, Ahmet DuranMain objective of this study is to calculate the gross margin for the dairy cattle enterprises in the Hatay Province in the Mediterranean Region of Turkey. Main material of the study consists of the primary data compiled by the surveys from 141 dairy cattle breeder enterprises which are determined by layered random sampling method. Data obtained from the research area in 2013 is reviewed according to the enterprises' size groups and enterprises' fair average on the basis of the number of suckling cow. According to the results of the study, in the enterprises reviewed, there is an average of 4.87 heads suckling cow and 7.85 Large Animal Unit (LAU) per enterprise. In the enterprises it is determined that an average of 27 tons of milk is produced in one lactation period. Milk yield per suckling cow is 5.6 ton/lactation. Among the enterprises surveyed, 59% of them had 1-4 head, 33% had 5-9 head and 8% had 10 head and above suckling cows. It has been also determined that the feed cost was the highest as 81.6% in the variable costs in the dairy cattle breeder enterprises according to the enterprise mean values. Following this, there were the veterinary-medicine costs (8.2%), electricity costs (2.4%), variable labour costs (1.8%), water and cleaning supplies (1.8%), artificial insemination costs (1.6%) and other costs (2.6 %). When the dairy cattle breeder enterprises are examined according to their size groups, it is seen that large enterprises (10 head and above) have produced more milk per suckling cow and gained higher milk yield and more gross margin compared to the small (1-4 head) and middle (5-9 head) enterprises.Öğe Gross profit analysis in cotton production and effects of agricultural subsidies on product cost: a case study of Hatay Region-Turkey(Univ Fed Rural Pernambuco, Dept Administracao, 2018) Semerci, Arif; Celik, Ahmet DuranThe aim of this study is to determine the gross profit in cotton production in Hatay province and to examine the effect of agricultural subsidies on cotton production cost. The primary data of the study were obtained from 136 agricultural enterprises by using the Simple Random Sampling Method. Income per unit area was 922 TL/da, and with subsidies this number could increase at a level of 44% (408 TL/da more). The cost per kg was found as 2,0 TL in small enterprises, and 2,03 TL in large enterprises. The highest cost element was energy (regardless of ground rent). Energy usage per unit was found as 170 TL.According to the economic process results of cotton production excluding the subsidies; the gross profit was 135,79 TL/decare, the net profit was -151,57 TL/ decare, and the relative profit was 0,86 TL. Including the subsidies; the gross profit was 543,76 TL/ decare, the net profit was 256,40 TL/ decare, and the relative profit was 1,24 TL. This result proves that cotton producers' profits consist of subsidies. According to the research results, in order to continue cotton production in the research area; concrete steps should be taken to decrease energy costs used for irrigation, producer organizations should be more active about helping producers with obtaining input and marketing their products, and subsidy unit prices should be allocated at the same level as developed countries.Öğe Input usage and difference analysis in cotton production: A case study of hatay province– turkey(Prof. Dr. Mevlüt AKÇURA, 2020) Çelik, Duran Ahmet; Semerci, ArifCotton has an important place among other industrial products in the world and in Turkey in terms ofholding the largest production area, a high export value, and it being a crucial input in the food and animal feedindustries. Turkey is the 7th largest cotton producer in the world, and the region of Hatay where the researchtook place, has an 11.54% share in Turkey’s total cotton production area. It has a 10.57% share in unseededcotton, cottonseed, and in fiber production in Turkey. The primary data of the study were obtained from 136agricultural enterprises with a 95% confidence interval and a 5% average deviation. In the enterprises thatwere examined, 7,767 tons of cotton unseed were produced in a 14,674 da area in 2016. The average cottonproduction area size was found as 108 da and the share of cotton production in the crop pattern was found as38.20%. In the research area, in order to produce 529.29 kg/da of cotton unseed; 2.6 kg seed, 64.9 kg fertilizer,0.85 lt agricultural pesticide, 40.5 lt diesel fuel, 641.7 kw electricity, and 2.7 labor force (manpower) were used.According to analysis results; there was a statistically significant difference at a level of 5% between small andlarge enterprises in terms of fertilizer, labor force, and electricity usage levels. Despite that there wasn’t anysignificant difference between harvest method (by handpicking or machinery) and yield; this result indicatesthat the enterprises which harvest by machinery gain more income compared to the ones which harvest byhand. There wasn’t any significant difference in terms of irrigation method (surface irrigation or drip irrigation)but there was a statistical difference at a level of 5% in terms of income. In other words, the enterprises whichuse the surface irrigation method gain more income compared to the ones which use the drip irrigationmethod.Öğe Input usage and gross profit analysis in canola production: a case study of Canakkale Province, Turkey(Univ Fed Rural Pernambuco, Dept Administracao, 2021) Semerci, Arif; Celik, Ahmet DuranCanola plant is grown worldwide for different purposes, and it ranks second after soybean among oleaginous seeds. Turkey is one of the countries in which its oleaginous oil supply amount dosen't meet its own demand, therefore, Turkey's canola production has been increasing in recent years as an alternative oleaginous seed product. According to the data of 2017, Turkey's import value for oleaginous seeds and derivative products was 3,2 billion USD, in which 1,5 billion USD of it was oleaginous seeds. In other words, after petrol and petroleum products, oleaginous seeds and derivative products are placed on the top of Turkey's importation product groups. One of the products that can fill Turkey's oleaginous oil supply gap is the canola plant. According to the Turkish Statistical Institute (TSI) data of 2018, the proportional share of Canakkale Province in Turkey's canola production was 7.5%, making it the 5th region in canola production. The economic aspect of canola production was examined in this study and the data were obtained from 83 agricultural enterprises by means of the Complete Inventory Method. According to the research results, canola production took 1st place in the vegetative production pattern with 31.09%. The average canola production area was 8.41 ha, and average productivity was found as 2962 kg ha(-1). In the study, the canola production gross output value was 1095.94 USD ha(-1), the gross profit value was 293.60 USD ha(-1), and the net profit value was found as 80.17 USD ha(-1). It was also discovered that some subsidies for canola production such as field size based subsidies (diesel fuel and fertiliser subsidies) and deficiency payment subsidies; increased the gross output value by 27.31%, increased the gross profit value by 101.92%, and decreased production costs by 29.17%. In order to generate 2962 kg ha(-1) of canola, (which is the production amount average per unit area) 4.5 kg of seed, 260 kg of pure fertiliser, 3,30 lt of agricultural pesticide, 130 lt of diesel fuel, and around 20 hours of man and machinery power were used. In order to increase the canola production amount in the Canakkale Province it is necessary to; increase the level of irrigated production fields, increase certified seed usage, and revise the amount of deficiency payments according to the present conditions.Öğe Input usage and gross profit analysis in canola production: A case study of Çanakkale province, turkey.(Universidade Federal Rural de Pernambuco, 2021) Semerci, Arif; Çelik, Ahmet DuranCanola plant is grown worldwide for different purposes, and it ranks second after soybean among oleaginous seeds. Turkey is one of the countries in which its oleaginous oil supply amount dosen’t meet its own demand, therefore, Turkey’s canola production has been increasing in recent years as an alternative oleaginous seed product. According to the data of 2017, Turkey’s import value for oleaginous seeds and derivative products was 3,2 billion USD, in which 1,5 billion USD of it was oleaginous seeds. In other words, after petrol and petroleum products, oleaginous seeds and derivative products are placed on the top of Turkey’s importation product groups. One of the products that can fill Turkey’s oleaginous oil supply gap is the canola plant. According to the Turkish Statistical Institute (TSI) data of 2018, the proportional share of Çanakkale Province in Turkey’s canola production was 7.5%, making it the 5th region in canola production. The economic aspect of canola production was examined in this study and the data were obtained from 83 agricultural enterprises by means of the Complete Inventory Method. According to the research results, canola production took 1st place in the vegetative production pattern with 31.09%. The average canola production area was 8.41 ha, and average productivity was found as 2962 kg ha-1. In the study, the canola production gross output value was 1095.94 USD ha-1, the gross profit value was 293.60 USD ha-1, and the net profit value was found as 80.17 USD ha-1. It was also discovered that some subsidies for canola production such as field size based subsidies (diesel fuel and fertiliser subsidies) and deficiency payment subsidies; increased the gross output value by 27.31%, increased the gross profit value by 101.92%, and decreased production costs by 29.17%. In order to generate 2962 kg ha-1 of canola, (which is the production amount average per unit area) 4.5 kg of seed, 260 kg of pure fertiliser, 3,30 lt of agricultural pesticide, 130 lt of diesel fuel, and around 20 hours of man and machinery power were used. In order to increase the canola production amount in the Çanakkale Province it is necessary to; increase the level of irrigated production fields, increase certified seed usage, and revise the amount of deficiency payments according to the present conditions. © 2021, Universidade Federal Rural de Pernambuco. All rights reserved.Öğe Kanola üretiminde maliyet faktörlerindeki değişimin analizi: Çanakkale ili örneği(Turkish Science and Technology Publishing, 2020) Semerci, Arif; Duran Çelik, Ahmet2018 yılı verilerine göre Çanakkale ili Türkiye kanola üretiminde %7,5’lik pay ile 5. sırada yer almaktadır. Bu çalışmada, araştırma alanı olarak belirlenen Çanakkale ilinde, 2018 yılında kanola üreten ve Tam Sayım Yöntemine göre tespit edilen 83 işletmeden elde edilen veriler yardımıyla, kanola üretiminde kullanılan girdilerin miktar ve parasal değer bakımından işletme büyüklük grupları arasında farklılık olup olmadığının tespit edilmesi amaçlanmıştır. Elde edilen analiz sonuçlarına göre; birim alana kullanılan girdilerin bedelleri arasında sadece ilaç girdisinin işletme büyüklük gruplarına göre %5 düzeyinde, birim alana kullanılan girdi miktarı dikkate alındığında sadece makine işgücü isteği değerinin işletme büyüklük grupları arasında %5 düzeyinde istatistiki yönden farklılık gösterdiği anlaşılmıştır. Araştırma bulguları incelenen işletmelerde girdi kullanımı açısından, işletme grupları arasında istatistiki yönden önemli bir fark bulunmadığını, bu durumun da kanola üretim teknolojisindeki benzerlik yanında büyük işletmelerin ölçek ekonomisinin pozitif yönlerinden faydalanamadığını göstermektedir. Bu nedenle orta ve uzun vadede genelde tarımsal üretimde özelde ise kanola üretiminde işletmelerin üretim düzeyleri dikkate alınarak farklı araçlarla ve değişik yöntemlerle desteklenmesi gerektiğini ortaya koymaktadır.
