Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Egg-Timer: Climate Change and Agriculture 2 Location: D-111 Session Chair: Weicheng Jiang, LSE | |
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Measuring Ambiguity Aversion to Climate-Smart Agricultural Technologies: Evidence from Smallholder Farmers in Northern Ghana 1: Canterbury Christ Church University, United Kingdom; 2: University of Kent, Canterbury, UK; 3: Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; 4: Kings College, London, UK This study examines different approaches to measuring ambiguity aversion among maize farmers in northern Ghana in relation to the adoption of climate-smart agriculture (CSA). Using incentivized field experiments based on Baillon et al. (2018) and surveys, we elicit farmers’ preferences regarding yield outcomes from two drought-tolerant maize varieties: Sanzal-sima and Bihilifa. The experimental data from the farmers show moderate ambiguity aversion under the Baillon et al. framework, while the traditional Ellsberg measure indicates ambiguity-neutral or ambiguity-seeking behaviour. The findings show significant variability in ambiguity aversion: Muslim farmers as well as larger farm households tend to show lower ambiguity aversion, while married, older farmers and farmers that own their own land tend to be more averse. The Baillon et al. method captures these behavioural differences more precisely and in a contextually relevant way, displaying greater dispersion and contextual sensitivity. Findings highlight the value of framing experiments around natural agricultural uncertainties and suggest refinements such as probability training and sequencing experiments before surveys to enhance CSA adoption, climate resilience, research and policy. | |