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Factors influencing the simultaneous adoption of risk management instruments in Mediterranean irrigated agriculture

Sandra María Sánchez Cañizares, M. Dolores Guerrero‐Baena, José A. Gómez‐Limón

2021Journal of Environmental Planning and Management12 citationsDOIOpen Access PDF

Abstract

Agriculture is highly impacted by different sources of risk. There is a wide variety of management instruments that farmers can use to cover these risks. The objective of this article is to analyze the explanatory variables for the simultaneous adoption of a large set of risk management instruments. The main innovation is the methodological approach: first, we apply a hierarchical cluster analysis to identify the groups of instruments whose adoption is correlated; second, we use multivariate probit (MVP) models to analyze the influence of different factors on the simultaneous adoption of the instruments included in each cluster. The explanatory variables capture farmers’ socio-demographic features, risk aversion and subjective perception of past risk experience; farms’ technical-economic characteristics; and local-level climate change. The results reveal significant differences in the variables influencing the adoption of the risk management instruments. The findings can support farmers, risk management service providers, and policymakers.

Topics & Concepts

Multivariate probit modelRisk managementAgricultureBusinessProbit modelMultivariate statisticsExplanatory powerOrdered probitRisk perceptionEnvironmental resource managementCluster (spacecraft)Actuarial scienceRisk analysis (engineering)PerceptionEconomicsEconometricsGeographyComputer sciencePsychologyMachine learningProgramming languageArchaeologyFinanceEpistemologyPhilosophyNeuroscienceAgricultural risk and resilienceClimate change impacts on agricultureSustainable Agricultural Systems Analysis