TY - JOUR
T1 - Data requirements for assessing the private and social returns to Strategic Research Partnerships
T2 - Analysis and recommendations
AU - Siegel, Donald S.
N1 - Funding Information:
Before discussing recent empirical studies of SRPs, it is useful to define some terms and characterize the wide variety of collaborative relationships that have emerged in recent years. I define an SRP as a co-operative relationship involving organizations that conduct or sponsor R&D, in which there is a two-directional flow of knowledge between the partners. The implication is that there is a mutually beneficial transfer of knowledge that, in theory, enables all of the partners to achieve a strategic objective. Many of these partnerships are potential sources of R&D spillovers and economic growth. Examples of SRPs are Research Joint Ventures (RJVs), strategic alliances and networks involving high technology organizations, industry consortia (e.g. SEMATECH), Co-operative Research And Development Agreements (CRADAs), Engineering Research Centers (ERCs) and Industry-University Co-operative Research Centers (IUCRCs) sponsored by the US National Science Foundation (NSF), Federally Funded Research and Development Centers (FFRDCs), science parks and high technology incubators (many of which are located at universities), and licensing and sponsored research agreements involving universities, government laboratories, and firms, and university-based startups.
Funding Information:
Firms financed by venture capital firms (including venture funds sponsored by corporations)
PY - 2003/6
Y1 - 2003/6
N2 - Existing studies of Strategic Research Partnerships (SRPs) suffer from data limitations that preclude an accurate assessment of the private and social returns to these activities. To address these limitations in a cost-efficient manner, statistical agencies should focus their data collection effort on public-private SRPs and measures of output and performance, including the role of SRPs in fostering technological diffusion and the creation of new products, firms, and industries. The collection of similar information from (observationally equivalent) firms not engaged in SRPs, including firms that applied for public funds and did not receive them, would also greatly improve our ability to evaluate government RandD programs. Government agencies should also partner with private organizations that have compiled data on SRPs and facilitate linkages between existing governments' datasets on SRPs and economic performance. The use of qualitative data should also be encouraged.
AB - Existing studies of Strategic Research Partnerships (SRPs) suffer from data limitations that preclude an accurate assessment of the private and social returns to these activities. To address these limitations in a cost-efficient manner, statistical agencies should focus their data collection effort on public-private SRPs and measures of output and performance, including the role of SRPs in fostering technological diffusion and the creation of new products, firms, and industries. The collection of similar information from (observationally equivalent) firms not engaged in SRPs, including firms that applied for public funds and did not receive them, would also greatly improve our ability to evaluate government RandD programs. Government agencies should also partner with private organizations that have compiled data on SRPs and facilitate linkages between existing governments' datasets on SRPs and economic performance. The use of qualitative data should also be encouraged.
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U2 - 10.1080/0953732032000051118
DO - 10.1080/0953732032000051118
M3 - Article
AN - SCOPUS:0038467258
VL - 15
SP - 207
EP - 225
JO - Technology Analysis and Strategic Management
JF - Technology Analysis and Strategic Management
SN - 0953-7325
IS - 2
ER -