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Data and the measurement of R&D program impacts.

Brian P Cozzarin1

  • 1Department of Management Sciences, 200 University Avenue West, University of Waterloo, Waterloo, ON, Canada. bpcozzar@uwaterloo.ca

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|June 14, 2008
PubMed
Summary

This paper proposes a research agenda for measuring the economic impacts of Canadian government research and development (R&D) support programs. It assesses methodologies and indicators for evaluating R&D investments.

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Area of Science:

  • Economics
  • Public Policy
  • Innovation Management

Background:

  • Government R&D support programs are crucial for economic growth.
  • Existing methods for evaluating R&D impacts vary.
  • A standardized approach to measuring economic impacts is needed.

Purpose of the Study:

  • To propose a research agenda for measuring the economic impacts of Canadian government R&D support programs.
  • To identify appropriate methodologies and indicators for impact assessment.
  • To inform future evaluations of R&D investments.

Main Methods:

  • Literature review of existing methodologies and indicators for R&D impact assessment.
  • Analysis of Canadian federal R&D programs (e.g., Technology Partnerships Canada, Industrial Research Assistance Program).
  • Assessment of the applicability of different measurement approaches to specific programs.

Main Results:

  • Discussion of various indicators (e.g., ROI, job creation, innovation output) and methodologies (e.g., econometric models, case studies).
  • Identification of challenges and opportunities in measuring the economic impact of government R&D support.
  • Evaluation of program-specific data availability and suitability for different assessment techniques.

Conclusions:

  • A comprehensive research agenda is needed to systematically measure the economic impact of Canadian R&D support.
  • Further research should focus on refining methodologies and data collection for robust impact evaluation.
  • Effective measurement can improve R&D program design and resource allocation.