20 pages, One of the main drivers of food insecurity is pests, which are estimated to cause around 40% of crop losses worldwide. We examine the food security effects of plant clinics, a novel agricultural extension model that aims to reduce crop losses due to pests through the provision of demand-driven plant health diagnostic and advisory services to smallholder farmers. The study is based on survey data from maize-growing households in Rwanda, where 66 plant clinics have been established. Using switching regression and matching techniques as well as various food security metrics, including the food insecurity experience scale, we find evidence that participation in plant clinics is significantly associated with a reduction in household food insecurity. For instance, among the participating households, plant clinics contribute to a decrease in the period of food shortage by one month and a reduction in the severity of food insecurity by 22 percentage points. We also show that these effects are more pronounced for female-headed households. Overall, our findings suggest that plant clinics can play an important role in achieving the Sustainable Development Goal 2 of zero hunger.
Zazueta, Fedro S. (author), Beck, Howard (author), Xin, Jiannong (author), Halsey, Larry (author), and Fletcher, James (author)
Format:
Paper
Publication Date:
1998
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C24673
Notes:
Pages 352-358 in Fedro S. Zazueta and Jiannong Xin (eds.), Computers in agriculture: proceedings of the 7th international conference on computers in agriculture, Orlando, Florida, October 26-30, 1998. St. Joseph, Michigan: American Society of Agricultural Engineers. 999 pages.
22pgs, We introduce the “coordination frontier” (CF), a simple practical tool to assess the likelihood of success of voluntary coordination in situations where, ex ante, the collective action solution provides an appealing alternative (e.g., for pest and disease control). We demonstrate the value of information conveyed by the CF, explain how to construct the CF from experimental data, and show how to apply the CF in practice. We illustrate the concept with an application to data from a framed field economic experiment, which was designed to elicit the preferences of Florida's citrus growers regarding their willingness to coordinate actions to combat citrus greening disease. This is a highly relevant case study not only because of the significant impact caused by citrus greening on Florida's citrus industry but also because a voluntary area-wide pest management program to control it had been established in 2010 and eventually failed; a similar program is now in place in California, where the disease spread is at an earlier stage. Had the CF been available in Florida, estimates of the (aggregate) chances of successful coordination could have been shared with growers to update their beliefs regarding the chances of successful coordination to help reduce strategic uncertainty. Policymakers in California could use the CF in such way and devise ways to encourage participation to increase the chances of reaching a desired coordination threshold.
