Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

An attempt to modeling revenue insurance schemes at the farm level by means of Positive Mathematical Programming

Authors: Severini, Simone; Cortignani, Raffaele;

An attempt to modeling revenue insurance schemes at the farm level by means of Positive Mathematical Programming

Abstract

Farmers face increasing income uncertainty and the debate is growing on the role of insurance schemes and of public support in this field. This paper applies a PMP modelling approach that takes into explicit consideration risk aversion behaviour to test its applicability to evaluating the potential impact of insurance schemes. This is done by introducing a revenue insurance scheme into a model developed on a small group of crop farms in Italy. The paper represents a preliminary assessment of the soundness of the proposed approach. It identifies some limitations that should be overcome to improve the proposed approach. Despite these limitations, it seems a useful tool to investigate the impact of insurance schemes and policy relevant parameters such as premium and coverage rates. Indeed, it permits the assessment of how this affects production choices, farm profitability and the impact of public support to reduce the net premium paid by farmers.

Country
Italy
Related Organizations
Keywords

Insurance schemes, PMP, Farmers’ behaviour, Risk aversion, Agricultural and Food Policy, Q12, C61, Q18,

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!