Abstract
This paper presents the Structural Mental Model Approach aimed at understanding differences in perception between experts and farmers regarding the various livelihood risks farmers are confronted with. The SMMA combines the Sustainable Livelihood Framework with the Mental Model Approach and consists of three steps: (i) definition and weighting of different livelihood capitals; (ii) analysis of livelihood dynamics, and (iii) definition of the social capital by means of agent networks. The results provide a sound basis for the design of sustainable policy interventions such as communication and educational programs which consider farmers’ priorities and viewpoints.
Highlights
This paper provides a methodological approach to analyzing differences in risk perception between farmers and experts in developing countries
In this paper we propose a methodology, the Structured Mental Model Approach (SMMA), which combines the Sustainable LivelihoodFramework (SLF) [1] with the Mental Models Approach (MMA) [2] to analyze the differences in risk perception between farmers and experts in rural areas in developing countries
In contrast to the SLF, in the SMMA we look at social capital in a different way as at individual capitals, as:
Summary
This paper provides a methodological approach to analyzing differences in risk perception between farmers and experts in developing countries. Sustainable development of small-holder farmers in developing countries depends highly on their ability to cope with several risks affecting their livelihood [3,4] They have to deal with environmental risks such as climatic risks (rainfall in rainfed agriculture), soil erosion, and pest infestations [3,4,5,6]. They are confronted with health risks, such as malnutrition due to an imbalanced diet, and neurological impairments, nausea, blurred vision, etc.
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