Evaluation of agricultural policies implemented with respect to less favoured area’s: evidence from Turkey

Abstract

There have been many different agricultural support tools varying by countries. These agricultural support tools are determined according to different indicators such as the policies, expectations, regions, and economic levels of the countries and may differ from each other. One of these agricultural support tools is Less Favoured Area (LFAs) that has been applied for a long time. Turkey has many geographically different regions and many different agricultural support tools like those in the other counties However, considering the EU full membership process policies, a specified support tool for the LFAs, which are widely used in the EU, has not been implemented in Turkey. Mersin province is one of the areas where that is an issue and so was selected for this study. The province has a dual structure, with high mountains (Taurus) and wide plains. People in the mountainous areas make a living from animal production, especially goat breeding. The study framework was based on the logistic regression model, which was compared farmers' descriptive statistics and socio-economic features in villages in the mountainous/semi-mountainous areas and on the plains of Mersin province. Farmers’ intentions for land allocation and livestock and their migration tendencies were analysed in different scenarios. Age, experience, number of small ruminants, land size and credit usage were found to have a statistically significant effect on farmers’ decisions about continuing farming. Their decisions changed across the policy scenarios provided, and a policy that considers regional differences was found to be significant in their decisions. The paper shows agricultural support policies should consider regional differences to compensate for income losses due to physical conditions.