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A propensity score approach in the impact evaluation on scientific production in Brazilian biodiversity research: the BIOTA Program

Author

Listed:
  • Fernando A. B. Colugnati

    (University of Campinas
    Federal University of Juiz de Fora)

  • Sergio Firpo

    (São Paulo School of Economics/FGV)

  • Paula F. Drummond Castro

    (University of Campinas)

  • Juan E. Sepulveda

    (Institute of Economics/UNICAMP)

  • Sergio L. M. Salles-Filho

    (University of Campinas)

Abstract

Evaluation has become a regular practice in the management of science, technology and innovation (ST&I) programs. Several methods have been developed to identify the results and impacts of programs of this kind. Most evaluations that adopt such an approach conclude that the interventions concerned, in this case ST&I programs, had a positive impact compared with the baseline, but do not control for any effects that might have improved the indicators even in the absence of intervention, such as improvements in the socio-economic context. The quasi-experimental approach therefore arises as an appropriate way to identify the real contributions of a given intervention. This paper describes and discusses the utilization of propensity score (PS) in quasi-experiments as a methodology to evaluate the impact on scientific production of research programs, presenting a case study of the BIOTA Program run by FAPESP, the State of São Paulo Research Foundation (Brazil). Fundamentals of quasi-experiments and causal inference are presented, stressing the need to control for biases due to lack of randomization, also a brief introduction to the PS estimation and weighting technique used to correct for observed bias. The application of the PS methodology is compared to the traditional multivariate analysis usually employed.

Suggested Citation

  • Fernando A. B. Colugnati & Sergio Firpo & Paula F. Drummond Castro & Juan E. Sepulveda & Sergio L. M. Salles-Filho, 2014. "A propensity score approach in the impact evaluation on scientific production in Brazilian biodiversity research: the BIOTA Program," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 85-107, October.
  • Handle: RePEc:spr:scient:v:101:y:2014:i:1:d:10.1007_s11192-014-1397-1
    DOI: 10.1007/s11192-014-1397-1
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    2. Rüdiger Mutz & Tobias Wolbring & Hans-Dieter Daniel, 2017. "The effect of the “very important paper” (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2139-2153, September.
    3. Matteo Pedrini & Valentina Langella & Mario Alberto Battaglia & Paola Zaratin, 2018. "Assessing the health research’s social impact: a systematic review," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1227-1250, March.
    4. Aboal, Diego & Tacsir, Ezequiel, 2016. "The impact of ex-ante subsidies to researchers on researcher's productivity: Evidence from a developing country," MERIT Working Papers 2016-019, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Selcuk Besir Demir, 2018. "Pros and cons of the new financial support policy for Turkish researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2053-2068, September.

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