Food Policy Research Capacity Indicators (FPRCI)


How can we strengthen a country’s capacity to conduct food policy research that directs evidence-based policy- making in a way that best achieves agricultural develop- ment and food security goals? To do so we must first understand the elements of


the country’s current capacity to identify needs and gaps. Our starting point has been the following defini- tion of food policy research capacity: any socioeconomic or policy-related research in the areas of food, agricul- ture, or natural resources. From there we have sought to re-form the various dimensions of capacity into measur- able indicators. Our resulting Food Policy Research Capacity Indica-


tors assess food policy research capacity by first quantifying capacity, and second, by qualifying that capacity. Data col- lection for the set presented here in Table 5 began in 2010, and we continue to expand the dataset each year and refine our data collection methods. Tis year’s report contains a new set of data for China. Te first indicator is a head count of professionals


employed at local organizations whose work involves food policy research or analysis. To introduce some uni- formity, we also present a modified quantification of the head count: fulltime equivalent analysts/researchers with PhD equivalent. To obtain an indicator of per capita food policy research capacity, this research capacity is then divided by the country’s rural population. Tis helps to


illustrate the impact of local food policy research in a par- ticular country. As another indicator, the dataset estimates the quality of a


country’s food policy research capacity by tallying the num- ber of relevant publications in international, peer-reviewed journals over a five year period using searches in two journal databases: EconLit and Web of Science. We view this as a reflection of the local enabling environment for food policy research. Tis indicator allows us to compare across coun- tries as it ensures that an internationally accepted standard of quality has been met. Tis indicator in turn enables donors to prioritize capacity building for research across countries. Tis dataset will continue to be updated and expanded


to include additional countries in order to beter facilitate cross-country comparisons, especially between countries with similar agroecological environments or who anticipate facing similar food security-related challenges as a result of climate change. It will also facilitate an understanding of the minimal food policy research capacity threshold for a country and what the returns to scale are. Additionally, it is hoped that such data will aid in informing national policy- makers of the importance of investing in local food policy research capacity. Lastly, this data will, in general, provide donors with a framework for prioritizing investments to strengthen food policy research capacity across countries as well as within countries.


Download data: http://hdl.handle.net/1902.1/20526 Contact: Suresh Babu (s.babu@cgiar.org) and Paul Dorosh (p.dorosh@ cgiar.org)


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TRACKING CHANGE


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