Beyond feasibility—the role of motivation to implement measures to enhance resilience

Luzian Messmer (), Braida Thom (), Pius Kruetli (), Evans Dawoe (), Kebebew Assefa (), Johan Six () and Jonas Joerin ()
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Luzian Messmer: ETH Zurich
Braida Thom: ETH Zurich
Pius Kruetli: ETH Zürich
Evans Dawoe: Kwame Nkrumah University of Science and Technology
Kebebew Assefa: Ethiopian Institute of Agricultural Research
Johan Six: ETH Zurich
Jonas Joerin: Singapore-ETH Center, Future Resilient Systems

Mitigation and Adaptation Strategies for Global Change, 2021, vol. 26, issue 5, No 2, 24 pages

Abstract: Abstract Many regions around the world are experiencing an increase in climate-related shocks, such as drought. This poses serious threats to farming activities and has major implications for sustaining rural livelihoods and food security. Farmers’ ability to respond to and withstand the increasing incidence of drought events needs to be strengthened and their resilience enhanced. Implementation of measures to enhance resilience is determined by decisions of farmers and it is important to understand the reasons behind their behavior. We assessed the viability of measures to enhance resilience of farmers to drought, by developing a general framework that covers economic-technical and psychological-cognitive aspects, here summarized under the terms (1) motivation and (2) feasibility. The conceptual framework was applied to cocoa farmers in Ghana and tef farmers in Ethiopia by using questionnaire-based surveys. A portfolio of five specific measures to build resilience (i.e., irrigation, shade trees, fire belts, bookkeeping, mulching, early mature varieties, weather forecast, reduced tillage, improved harvesting) in each country was evaluated with a closed-ended questionnaire that covered the various aspects of motivation and feasibility whereby farmers were asked to (dis)agree on a 5-point Likert scale. The results show that if the motivation mean score is increased by 0.1 units, the probability of implementation increases by 16.9% in Ghana and by 7.7% in Ethiopia. If the feasibility mean score is increased by 0.1 units, the probability of implementation increases by 24.9% in Ghana and by 11.9% in Ethiopia. We can conclude that motivation and feasibility matter, and we improve our understanding of measure implementation if we include both feasibility and motivation into viability assessments.

Keywords: Vulnerability; Climate change; Sub-Saharan Africa; Cocoa; Tef (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11027-021-09952-7

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