The primary purpose of this study is to reveal the factors accelerating both the innovativeness and sustainability levels of paddy farmers. The data used in the study were obtained from the questionnaires conducted with 70 paddy farmers in the Bafra district of Samsun province, Turkey, determined by a simple random sampling method. Paddy farmers were divided into three groups as low, medium, and high innovativeness groups with hierarchical cluster analysis. An ANOVA was used to compare the socioeconomic and farming characteristics of the paddy farmers, and accelerated failure time models were used to analyze the factors affecting the innovativeness and sustainability variables. The research results indicated that the number of years of formal education, the agricultural experience, the amount of labor per unit area, the animal assets, the share of agricultural income in the total income, the number of memberships to farmer organizations, paddy production area, sustainable agriculture area, and cooperation scores differed from the innovativeness groups. The farmers' collaboration in agricultural activities increased the likelihood that they are an innovator. The results concluded that the number of years of formal education, global good agriculture practice, agricultural experience, household size, animal assets, and women's employment influenced both the innovativeness and sustainability variables. Encouraging the participation of women in agricultural production in rural areas, including sustainability-related issues in addition to technical issues in farmer training programs, and ensuring the participation of women in such training are issues that should be considered in future.

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This study was carried out in order to analyze seafood consumption level of consumers in Central Anatolia Region (Province Ankara) and their consumption behavior. Proportional sampling method was used in determining sample size and sample size was determined as 167. Data were collected from randomly chosen individuals with face-to-face interviews. As a result of study, in order to determine possible effects of socio-economic properties of consumers on seafood consumption, CHAID analysis which is one of the decision tree analyses was used. According to the results of analysis; it can be said that dependent variables of income, education and age have effect on attitude and behavior of consumers while gender have no effect on consumption behaviors.

In this study, the technical and quality efficiency scores of the fig processing businesses in Aydın Province and the factors affecting these scores were tried to be determined by Data Envelopment Analysis “a non-parametric method”, and a truncated-regression model with 1000 replications. As a result of the analyses made using the data obtained by the survey method, it has been determined that almost all of the enterprises operate under the assumption of varying returns to scale, and the average of technical efficiency scores is 98% and the average of quality efficiency scores is 58%. It has been determined that the factors such as “Educational Status”, “Industry Experience” and “Processing Figs with Their Own Product” are effective on the technical efficiency scores. On the other hand, it was concluded that “Industry Experience”, “Contract Manufacturing” and “Quality Control Practices” factors were positively affected on quality efficiency scores. In addition, in the production of dried figs, which can be considered as a niche product, especially in the healthy snacks market, there are important problems in terms of sectoral education and external risks, and in order to solve these problems, there are important duties in expressing the problems and expressing the need for qualified personnel with sectoral training. The necessity of conducting scientific researches on geothermal power and dams was stated as a proposal.