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Assessing the Benefits of Public Research Within an Economic Framework: The Case of USDA's Agricultural Research Service
- 英文名称:
- Assessing the Benefits of Public Research Within an Economic Framework: The Case of USDA's Agricultural Research Service
- 作者:
- Paul Heisey; John King; Kelly Day Rubenstein; Dale Bucks; Rick Welsh
- 工作单位:
- USDA's Economic Research Service
- 关键词:
- Agricultural research; Agricultural Research Service; ARS; public research; economic benefit analysis; productivity;
- 年份:
- 2010
- 出版地:
- Washington, DC, USA
- 总页数:
- 90 pp
- 语种:
- English
- 摘要:
- Evaluation of publicly funded research can help provide accountability and prioritize programs. In addition, Federal intramural research planning generally involves an institutional assessment of the appropriate Federal role, if any, and whether the research should be left to others, such as universities or the private sector. Many methods of evaluation are available, peer review-used primarily for establishing scientific merit-being the most common. Economic analysis focuses on quantifying ultimate research outcomes, whether measured in goods with market prices or in nonmarket goods such as environmental quality or human health. However, standard economic techniques may not be amenable for evaluating some important public research priorities or for institutional assessments. This report reviews quantitative methods and applies qualitative economic reasoning and stakeholder interviewing methods to the evaluation of economic benefits of Federal intramural research using three case studies of research conducted by USDA's Agricultural Research Service (ARS). Differences among the case studies highlight the need to select suitable assessment techniques from available methodologies, the limited scope for comparing assessment results across programs, and the inherent difficulty in quantifying benefits in some research areas. When measurement and attribution issues make it difficult to quantify these benefits, the report discusses how qualitative insights based on economic concepts can help research prioritization.
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