Benefits of using production factors in assessing farm risk: a simulation on the role of irrigation data

Biagini, Luigi; Zinnanti, Cinzia; Severini, Simone

doi:10.1109/metroagrifor55389.2022.9965071

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Explaining Risk Management Choices1

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2023

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“…Besides deterministic approaches, Machine Learning solutions start to be applied to further understand factors affecting the adoption of RM strategies. Few applications can be retrieved from the current literature considering application of insurance contracts in Romania and Italy (Mare et al, 2022;Biagini et al, 2022a) and mutual funds for pest diseases in the North of Italy (Höschle et al, 2023).…”

Section: Explaining Risk Management Choicesmentioning

confidence: 99%

Towards a holistic approach to sustainable risk management in agriculture in the EU: a literature review

Arata,

Cerroni,

Santeramo

et al. 2023

BAE

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Agriculture is one of the sectors most exposed to a plethora of risky phenomena such as weather, pests and diseases, changes in prices and government policies, instability of global markets. We review the literature on risk management (RM) in agriculture focusing on five key issues: i) why evidence on RM is often controversial; ii) how farmers behave in selecting among available RM instruments; iii) why some of these instruments are underutilised; iv) how to assess the impacts of innovative RM tools to (further) improve their design; v) how agricultural policy measures aimed at increasing the environmental sustainability of the sector could affect RM choices. We address all these issues to get a holistic vision of RM, and point at areas where further analyses are needed.

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Section: Explaining Risk Management Choicesmentioning

confidence: 99%