Abstract
The aim of the paper is to consider and analyze the impact of subsidies levels and other economic and general factors on the farmers' decision to insure their crops. The paper applies the model of logistic regression in order to determine the statistically significant influence of certain factors on the decision of farms. The subject of the research is general and economic data from agricultural holdings in the FADN sample in Serbia for 2018. The sample includes farms that deal with specialist field crops, specialist grazing livestock and mixed crops-livestock production. The survey was conducted on a sample of 819 households, of which 99 households reported insurance costs (12.1%). The results of the research show that with higher subsidy level the probability that farms will insure their production reduces. On the other hand, with an increase of economic size and farm net value added per annual working unit the probability that farms will be insured also increases.
Publisher
Centre for Evaluation in Education and Science (CEON/CEES)
Reference27 articles.
1. Afroz, R., Akhtar, R., & Farhana, P. (2017). Willingness to pay for crop insurance to adapt flood risk by Malaysian farmers: An empirical investigation of Kedah, International Journal of Economics and Financial Issues, 7(4), 1-9;
2. Auer, J. (2003). Weather Derivatives Heading for Sunny Times, Frankfurt Voice, Deutsche Bank Research, Frankfurt am Main;
3. Coble, K., & Barnett, B. (2013). Why do we subsidize crop insurance?, American Journal of Agricultural Economics, 95(2), 498-504;
4. Di Falco, S., Adinolfi, F., Bozzola, M., & Capitanio, F. (2014). Crop insurance as a strategy for adapting to climate change. Journal of Agricultural Economics, 65(2), 485-504. https://doi.org/10.1111/1477-9552.12053;
5. Enjolras, G., Capitanio, F., & Adinolfi, F. (2012). The demand for crop insurance: Combined approaches for France and Italy. Agricultural Economics Review, 13(1), 5-22;