Strategies for integrating farmers into modern vegetable supply chains in Vietnam: farmer attitudes and willingness to accept

In Vietnam, the development of so‐called ‘modern’ vegetable supply chains is receiving considerable interest amongst researchers and governments. This interest partly stems from the view that enhancements in food safety can be achieved if farmers are willing to adopt supply chains that are often associated with ‘western’ forms of retailing. Our study investigates farmers’ willingness to change to two ‘modern’ alternatives – a supply model based on cooperatives and another based on investors facilitating the change. Using discrete choice data drawn from 412 farmers, mixed logit models in willingness to pay space are developed that reveal the relative importance of different drivers of change. The paper offers insights that can inform governments about the incentives required to bring about change. In addition, the paper illustrates the novel application of a choice experiment to enumerating the perceived costs of changes in vegetable supply chains.     

Comparing results of ranking conjoint analyses,best–worst scaling and discrete choice experiments in a nonhypothetical context

This study assesses the comparability of discrete choice experiment (DCE), ranking conjoint analysis (RCA) and multiprofile best–worst scaling (BWS) in a nonhypothetical context in terms of estimated partworths, willingness to pay (WTP), response consistency and external validity. Overall, the results suggest that: (i) the conjoint analysis formats that were used in this study provide similar estimated WTP, but different estimated partworths and computed external validity; (ii) the inclusion of the full ranking information in the estimation of the parameters of interest affects the estimated partworths, but not the estimated WTP; and (iii) it is more appropriate to use multiprofile BWS over DCE and RCA because it has better predictive power of consumers’ preferences and provides estimated WTP comparable to those obtained in the others conjoint analysis formats. The BWS’ cognitive process could be considered clearness for participants implying significant increment of its predictive power.     

Choice of Rice Production Practices in Ghana: A Comparison of Willingness to Pay and Preference Space Estimates

Rice has been identified as an important food security crop in Ghana. However, there is a production deficit and new technologies to reduce the deficit are not widely adopted. Although poor adoption by farmers’ is often linked to constraints such as access to information, farmers’ perceptions of the technologies are also important. We apply an advanced discrete choice experiment to evaluate farmers’ preferences for rice production practices. Specifically, we generate willingness to pay (WTP) estimates using willingness to pay space (WS) and compare these with values from the indirect or preference space (PS) method. Our modelling also accounts for the effects on WTP estimates of farmers’ stated attribute importance (SAI) information. Empirical results from WS and PS models reveal that on average, farmers value higher yields and are negatively affected by higher risk of crop failure and labour requirements. Comparing the performance of the two models, we find the WS model provides a superior fit to our data and reduces the likelihood of producing implausible WTP estimates. Further, SAI inclusion did not produce much variation in our WTP estimates.