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Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit

Author

Listed:
  • Gustavo A. Crespi

  • Alessandro Maffioli

  • Pierre Mohnen

  • Gonzalo Vázquez

Abstract

The purpose of this guideline is to provide ideas and technical advice on how to measure the effectiveness of Science, Technology and Innovation Programs (STIP). The paper addresses the specific challenges of evaluating STIP, from the assessment of the intervention logic to the choice of the most appropriate method to solve the attribution problem. Much attention is devoted to the topic of data, discussing pros and cons of different data sources, data quality issues, and strategies for data collection. The paper analyzes in detail the potential application of experimental and quasi-experimental methods to STIP. For each method, the paper highlights characteristics and assumptions, practical issues related to the implementation, and strengths and weakness specifically related to the application to STIP. Other specific issues related to the evaluation of STIP are also considered: the timing of effects, intensity of treatment, multiple treatments, impact heterogeneity, externalities, and general equilibrium effects. Concrete examples of rigorous evaluations of STIP support the discussion of the various topics throughout the guideline.

Suggested Citation

  • Gustavo A. Crespi & Alessandro Maffioli & Pierre Mohnen & Gonzalo Vázquez, 2011. "Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit," SPD Working Papers 1104, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    • Handle: RePEc:idb:spdwps:1104
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    References listed on IDEAS

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    Cited by:

    1. Crespi, Gustavo & Figal Garone, Lucas & Maffioli, Alessandro & Stein, Ernesto, 2020. "Public support to R&D, productivity, and spillover effects: Firm-level evidence from Chile," World Development, Elsevier, vol. 130(C).
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    3. Dezhina, I. & Simachev, Yu., 2013. "Matching Grants for Stimulating Partnerships between Companies and Universities in Innovation Area: Initial Effects in Russia," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 99-122.
    4. Mariano Pereira & Diana Suárez, 2018. "Matthew effect, capabilities and innovation policy: the Argentinean case," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(1), pages 62-79, January.
    5. Margaret Dalziel, 2018. "Why are there (almost) no randomised controlled trial-based evaluations of business support programmes?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 4(1), pages 1-9, December.
    6. Giuliani, Elisa & Maffioli, Alessandro & Pacheco, Manuel & Pietrobelli, Carlo & Stucchi, Rodolfo, 2014. "Evaluating the Impact of Cluster Development Programs," Papers in Innovation Studies 2014/10, Lund University, CIRCLE - Centre for Innovation Research.
    7. Aboal, Diego & Perera, Marcelo & Tacsir, Ezequiel & Vairo, Maren, 2018. "A guide for the evaluation of programs of human capital training for science, technology and innovation," MERIT Working Papers 2018-031, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Sanginés, Mario & Prats Cabrera, Joan Oriol & Pimenta, Carlos & García Osío, Gustavo & Martínez Guzman, Juan Pablo & Marcel, Mario & Farias, Pedro & Crespi, Gustavo & Chrisney, Martin D. & Corbacho, A, 2013. "The Fiscal Institutions of Tomorrow," IDB Publications (Books), Inter-American Development Bank, number 460, November.
    9. Crespi, Gustavo & Figal Garone, Lucas & Maffioli, Alessandro & Stein, Ernesto H., 2019. "Innovation, Productivity, and Spillover Effects: Evidence from Chile," IDB Publications (Working Papers) 9464, Inter-American Development Bank.
    10. Mardones, Cristian & Velásquez, Andrés, 2021. "Macroeconomic, intersectoral, and environmental effects of R&D subsidies in Chile: An input-output approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    11. Gabriel Casaburi & Gustavo Crespi & Ignacio L. De León & José Fernández & Lucas Figal Garone & Matteo Grazzi & Carlos Guaipatín & Jorge Katz & Juan J. Llisterri & Alessandro Maffioli & Juan Carlos Nav, 2016. "La política de innovación en América Latina y el Caribe: Nuevos caminos," IDB Publications (Books), Inter-American Development Bank, number 94816 edited by Juan Carlos Navarro & Jocelyn Olivari, February.
    12. Alessandro Maffioli & Diego Ubfal & Gonzalo Vazquez-Bare & Pedro Cerdan-Infantes, 2013. "Improving technology adoption in agriculture through extension services: evidence from Uruguay," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 5(1), pages 64-81, March.

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    Keywords

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    JEL classification:

    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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