Trends in and influence of regional federally funded research and development in the US
Author(s)Gadgin Matha, Shreyas
Technology and Policy Program.
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Over the last few decades, although US gross domestic spending on Research and Development (R&D) as a percentage of GDP has risen from around 2.27% in 1981 to 2.74% in 2016, federal funding for R&D has fallen steadily, from 1.19% to o.81% over the same period. These changes reflect a broader shift in the US from a government-driven R&D model to a business-driven model. Towards the goal of identifying the regional economic impacts of federally funded R&D, I first build on previous work to develop a method to obtain federal funding for R&D at granular geographic levels using Natural Language Processing (NLP) methods to automatically classify open data on federal contracts and grants as R&D or non-R&D awards. This method results in a 95% accuracy rate in classifying federal awards, and covers 56% of US federal R&D obligations made in the year 2016. As underreporting issues in the data source are addressed, this method will yield higher coverage rates, thus creating a unique dataset that affords opportunities to study the regional impacts of federally funded R&D. Next, I adapt Hausman, N. (2012). University Innovation, Local Economic Growth, and Entrepreneurship to identify the employment-generation effects of federally funded university R&D and compare impacts of overall R&D funding to the employment-generation arising from R&D funding provided to specific academic disciplines. I find that the employment-generation effects of federally funded computer science R&D are significant and much more pronounced than the corresponding effects of overall federally funded university R&D.
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2018.Cataloged from PDF version of thesis.Includes bibliographical references (pages 43-46).
DepartmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society.; Technology and Policy Program.; Massachusetts Institute of Technology. Engineering Systems Division; Massachusetts Institute of Technology. Institute for Data, Systems, and Society; Massachusetts Institute of Technology. Technology and Policy Program
Massachusetts Institute of Technology
Institute for Data, Systems, and Society., Technology and Policy Program.