ASSESSMENT OF FACTORS INFLUENCING FARM INSURANCE IN BULGARIA THROUGH PROBABILITY STATISTICAL METHODS
Dimitre Nikolov and
Minka Chopeva ()
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Dimitre Nikolov: Institute of Agricultural Economics, Sofia, Bulgaria
Minka Chopeva: Institute of Agricultural Economics, Sofia, Bulgaria
Agricultural Economics and Rural Development, 2016, vol. 13, issue 1, 3-12
The aim of the report is to explain the impact of key factors on farm insurance level in the context of risk management. The presented results were obtained from a survey on 300 farmers within the project “Risk Management in Agriculture” in 2011–2012, carried out by a research team from IAE. The methods used are probabilistic modelling, probit and logistical statistical modelling in particular. Currently, farmers’ interest in insurances as a modality to cope with natural hazards is at a low level. The greatest chance for insurance has been found in the young farmers; those who receive a high enough amount of EU subsidies and manage utilized agricultural land areas larger than 10 ha. It is necessary to build a new insurance system in agriculture, where the risk is shared between farmers, insurance companies and the state.
Keywords: insurance probability; farmers; probit models; CAP subsidies. (search for similar items in EconPapers)
JEL-codes: C2 Q1 G22 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:iag:reviea:v:13:y:2016:i:1:p:3-12
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