Literature DB >> 25514996

Empirical analysis of farmers' drought risk perception: objective factors, personal circumstances, and social influence.

Rianne van Duinen1,2, Tatiana Filatova2,3, Peter Geurts4, Anne van der Veen1,5.   

Abstract

Drought-induced water shortage and salinization are a global threat to agricultural production. With climate change, drought risk is expected to increase as drought events are assumed to occur more frequently and to become more severe. The agricultural sector's adaptive capacity largely depends on farmers' drought risk perceptions. Understanding the formation of farmers' drought risk perceptions is a prerequisite to designing effective and efficient public drought risk management strategies. Various strands of literature point at different factors shaping individual risk perceptions. Economic theory points at objective risk variables, whereas psychology and sociology identify subjective risk variables. This study investigates and compares the contribution of objective and subjective factors in explaining farmers' drought risk perception by means of survey data analysis. Data on risk perceptions, farm characteristics, and various other personality traits were collected from farmers located in the southwest Netherlands. From comparing the explanatory power of objective and subjective risk factors in separate models and a full model of risk perception, it can be concluded that farmers' risk perceptions are shaped by both rational and emotional factors. In a full risk perception model, being located in an area with external water supply, owning fields with salinization issues, cultivating drought-/salt-sensitive crops, farm revenue, drought risk experience, and perceived control are significant explanatory variables of farmers' drought risk perceptions.
© 2014 Society for Risk Analysis.

Entities:  

Keywords:  Drought; farmers; risk perception

Year:  2014        PMID: 25514996     DOI: 10.1111/risa.12299

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  2 in total

1.  Variability in Cross-Domain Risk Perception among Smallholder Farmers in Mali by Gender and Other Demographic and Attitudinal Characteristics.

Authors:  Alison C Cullen; C Leigh Anderson; Pierre Biscaye; Travis W Reynolds
Journal:  Risk Anal       Date:  2018-02-15       Impact factor: 4.000

2.  Quantitative Evaluation and Obstacle Factor Diagnosis of Agricultural Drought Disaster Risk Using Connection Number and Information Entropy.

Authors:  Yi Cui; Juliang Jin; Xia Bai; Shaowei Ning; Libing Zhang; Chengguo Wu; Yuliang Zhang
Journal:  Entropy (Basel)       Date:  2022-06-25       Impact factor: 2.738

  2 in total

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