Best-Worst Scaling

Sustainable Intensification - Laos

Using Choice Experiment and Best Worst Scaling to identify farmers' preferences

Identify Lao farmers' goals and their ranking using best–worst scaling experiment and scale‐adjusted latent class models

We developed a best–worst scaling (BWS) experiment, in which farmers have to declare the “most” and the least “important” goals they use when making decisions. We first derive a ranking of the goals according to the population average, which showed the importance of rice self-sufficiency and transmission of farm capital. We then use a scale-adjusted latent class analysis. We identified four groups of homogenous preferences among farmers.

Typoclim - South Africa

Identifying South African farmers potential reactions to policy instruments designed to foster their adaptation to climate change

Context matters: Agronomic field monitoring and participatory research to identify criteria of farming system sustainability in South-East Asia

Attributes determining consumer preference for organic rice in Bangkok, Thailand

We used discrete choice experiments to explore the potential adoption or alternative agricultural systems. We analyse the heterogeneity of farmers’ preferences and willingness to pay for different cropping system attributes using a mixed logit model, and we discuss the possible drivers and barriers to the adoption of these more sustainable options.