USDA Economic Research Service Briefing Room
" "  
Link: Bypass USDA Left navigation.
Search ERS

Browse by Subject
Diet, Health & Safety
Farm Economy
Farm Practices & Management
Food & Nutrition Assistance
Food Sector
Natural Resources & Environment
Policy Topics
Research & Productivity
Rural Economy
Trade and International Markets
Also Browse By


or

""

 


 
Briefing Rooms

Agricultural Research and Productivity: Questions and Answers

Q. How does agricultural research and development affect agricultural productivity?

A. Most studies have been consistent in finding high rates of return (40 to 60 percent) for public investment in agricultural research and development (R&D). These rates emerge regardless of the level of aggregation (individual commodities or more aggregate measures) or geographical area considered. Some evidence suggests a higher rate of return to science-oriented (basic) R&D than to applied R&D.

Range of social rates of return to agricultural R&D, extension, and education

The rate of return to public agricultural R&D is higher than the rates of return to other investments affecting agricultural productivity, such as public extension, private R&D, and farmers' education. More studies on the rates of return to different public investments are needed to assist public decisionmakers in intelligently allocating the limited funds.

In a recent study, Yee, et al. (2002) used data for 1960-1993 to explain agricultural productivity growth at the state level with public R&D, R&D spillovers, extension, transportation infrastructure, and weather variables as factors. They found public agricultural R&D and highways had positive impacts on agricultural productivity, and the marginal real social rate of return to public agricultural R&D was large. R&D spillovers due to R&D conducted in neighboring states was found to impact agricultural productivity positively in all regions, and the computed real rate of return to investments in public agricultural R&D to any one state was less than the social rate of return to all states in its region.

In another recent study, Ahearn, et al. (2002) employed a simultaneous equations model with equations for productivity, farm size measured as land rent per farm, and the odds that an operator works off-farm at least 200 days per year. The basic conceptual model for the productivity equation was identical to that found in Yee, et al. (2002), with the addition of agricultural structure variables. Public investments in R&D, extension, and highways all had positive impacts on productivity. Two of their structure variables, the use of production contracting and specialization, had a positive effect on productivity.

For a study of the relationship between productivity and research, see U.S. Agricultural Growth and Productivity: An Economywide Perspective. An international perspective on rates of return is available from the Food and Agriculture Organization.

For more information, contact: Kelly Day-Rubenstein

Web administration: webadmin@ers.usda.gov

Updated date: December 22, 2005