Estimating the Economic and Scientific Impact of Federal R&D Spending by Universities

估计联邦 R 的经济和科学影响

• 批准号: 1158711
• 负责人: Jason Owen-Smith
• 金额: $ 24.67万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1158711&HistoricalAwards=false
• 关键词: Estimating; Economic; Scientific; Impact; Federal

This pilot project contributes to the scientific understanding of the role universities and federally funded research play in the larger economy. It does this by linking two rich and novel data sources -- the well-established and pivotal Longitudinal Household Employer Dynamics (LEHD) data program of the U.S. Census Bureau and the new STAR METRICS data being developed by the federal science-funding agencies. The goal is to estimate the impact of Federal academic R&D funding on regional and national economies. These data will be used to develop measures of the direct and indirect impact federal funding for academic science and engineering research has on human knowledge, technological developments, economic growth and resilience, and employment. Intellectual Merit: The project characterizes different strategies for organizing university research and to use those differences to explain variations in the productivity of academic science. The data are also used to determine how research spending on campuses 'spills out' into the economy through subcontracts and vendor relationships, entrepreneurship, graduating students, and technological innovations. The ultimate goal is to document what campus expenditures mean for job creation, economic competitiveness and growth. Because this is a pilot study the project focuses on the social networks that underpin university research conducted in five states, and on economic spillovers in one state. Broader Impacts. The project develops technical tools that can be used for later, nationwide research will be developed that enable more effective use of existing data for the analysis of science policy and its effects. The analysis also informs efforts to expand or modify existing data collection in the STAR METRICS program, helping to insure that those data will be useful for policy makers and researchers alike. The work contributes to the development of an evidence based science of science policy and thus helps to develop tools to ensure that national investments in fundamental science and engineering research are effective.

该试点项目有助于科学地理解大学和联邦政府资助的研究在更大的经济中发挥的作用。它通过连接两个丰富而新颖的数据源来实现这一目标——美国人口普查局完善且关键的纵向家庭雇主动态 (LEHD) 数据计划和联邦科学资助机构正在开发的新 STAR METRICS 数据。目标是估计联邦学术研发资金对地区和国家经济的影响。 这些数据将用于制定联邦资助学术科学和工程研究对人类知识、技术发展、经济增长和复原力以及就业的直接和间接影响的衡量标准。 智力优势：该项目描述了组织大学研究的不同策略，并利用这些差异来解释学术科学生产力的变化。 这些数据还用于确定校园的研究支出如何通过分包和供应商关系、创业、毕业生和技术创新“溢出”到经济中。最终目标是记录校园支出对创造就业机会、经济竞争力和增长的意义。 由于这是一项试点研究，该项目重点关注支持在五个州进行的大学研究的社交网络，以及一个州的经济溢出效应。 更广泛的影响。该项目开发的技术工具可用于以后的全国性研究，以便更有效地利用现有数据来分析科学政策及其影响。该分析还为扩大或修改 STAR METRICS 计划中现有数据收集的工作提供了信息，有助于确保这些数据对政策制定者和研究人员有用。这项工作有助于制定基于证据的科学政策，从而有助于开发工具以确保国家对基础科学和工程研究的投资有效。