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    An empirical analysis of technical efficiency determinants in beekeeping farms: evidence and policy implications from Nigde Province, Turkey
    (Agenzia Italiana Cooperazione Sviluppo-Italian Dev Coop Agency, 2018) Gurer, Betul; Akyol, Ethem
    Turkey has huge honey production potential. However, traditional production mode negatively affects the total production and productivity. The purpose of this study was to analyse the determinants of technical efficiency of beekeeping farms. This paper also aimed to examine the association between beekeeping subsidies and farm efficiency using stochastic frontier analysis on beekeeping farming. In this study, it was used primary data from 54 producers in Nigde province in 2017. Producers were selected through stratified sampling method. According to results, the mean technical efficiency of the beekeeping farms is 0.57. The beekeepers were found to be generally fairly inefficient. This implies that there will be need to develop new technologies to raise productivity. The most important factors, which determine technical inefficiency, are the existing of pure race bee in colony, education level of farmer, hive numbers, beekeeping subsidies, age of farmer, type of beehive and the number of migratory activity. The result revealed that pure race bee in colony had a great impact on beekeeping productivity. According to inefficiency model result, the government subsidy scheme for beekeeping had a net negative impact on the technical efficiency of beekeeping farm. For this reason, integrated development efforts and implementation of policies, which will develop the technology that will enable to use resources more efficiently in agriculture, have great importance to improve the sector.
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    The effect of socio-economic inequalities and dietary diversity on the food insecurity levels of urban households: a case study of Nigde province, Turkey
    (Mattioli 1885, 2021) Gurer, Betul
    This study provided a deep insight to what extent the socio-economic, demographic, and nutritional characteristics of the households were related to different degrees of food insecurity by using the generalized ordered logit model. The cross-sectional data was collected from 391 urban households in Nigde province of Turkey by conducting face-to-face interviews. According to the study results, the households that were found to be more likely to exposure the food insecurity include households with unemployed and less educated household heads, households with low monthly income and low food expenditure per capita and households with a large size and with children. The study also provided new insights about nutritional adequacy of households in the context of food security. It was found that individuals who consumed protein-containing foods ever day had a 90% less risk of becoming food insecure than those who never or only sometimes consumed these foods. Similarly, it was found that individuals who sometimes consumed iron-containing foods had a 67% less risk of being food insecure than those who never consumed these foods. Policies for poverty reduction, enhancing employment opportunities, reducing of the cost of nutrient-rich foods along food supply chain and diversification of nutritious foods production could contribute to improve the food security status of households.
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    The impacts of agricultural support on enhancing the efficiency, competitiveness and sustainability of sheep breeding: The case of Nigde and Aksaray provinces, Turkey
    (Consejo Superior Investigaciones Cientificas-Csic, 2020) Gurer, Betul
    Aim of study: The sheep breeding sector in Turkey has lost its potential to become a highly competitive and efficient sector despite a number of policies being implemented over the years. Therefore, the objective of the study was to empirically evaluate the competitiveness of sheep breeding and the determinants of the technical efficiency of the sector as well as the current impacts of agricultural policies on the performance of the sector. Area of study: Nigde and Aksaray provinces of TR71 region in Turkey. Material and methods: The required primary data were obtained through a face-to-face survey from 110 sheep breeders. Two methodological approaches, namely Stochastic Frontier Analysis and Policy Analysis Matrix, were used. Main results: The support policies caused an inefficiency in allocation of already scarce resources in sheep breeding, but not ensure to increase the competitiveness at both national and international levels. Sheep farms could increase their income by up to 50% without changing the level of input by taking into account the factors that caused inefficiency in sheep breeding. The major determinants that decreased efficiency were current subsidies for sheep breeding, herd size and the excessive utilization of family labour, while the factors that increased the efficiency were sheep race, access to extension services, grazing period and location. Besides, Domestic Resource Cost (DRC) value in the efficient farms decreased to 0.88, implying that they had a comparative advantage. Research highlights: Implementation of structural support policies with long term would enhance efficiency of sheep farms and ensure the sustainability and competitiveness of the sector.