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Efficiency in rewarding academic journal publications. The case of Poland

Author

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  • Wojciech Charemza
  • Michal Lewandowski
  • Lukasz Wozny

Abstract

We consider the efficiency of a mechanism for incentivising publication in academic journals where a research supervisory body awards points for papers that appear in quality publications. Building on the principal-agent literature with hidden types, we assume that such a body wants to maximise the expected prestige of academic disciplines. It sets up a reward system so that researchers who are aiming to maximise their own rewards also maximise the objective function of the research supervisory body, through their submission decisions. The model is calibrated to the reward scheme introduced within the Polish higher education reform in 2018, for which a series of policy recommendations is given

Suggested Citation

  • Wojciech Charemza & Michal Lewandowski & Lukasz Wozny, 2021. "Efficiency in rewarding academic journal publications. The case of Poland," KAE Working Papers 2021-062, Warsaw School of Economics, Collegium of Economic Analysis.
  • Handle: RePEc:sgh:kaewps:2021062
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    File URL: http://kolegia.sgh.waw.pl/pl/KAE/Documents/WorkingPapersKAE/WPKAE_2021_062.pdf
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    References listed on IDEAS

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    1. Cherkashin, Ivan & Demidova, Svetlana & Imai, Susumu & Krishna, Kala, 2009. "The inside scoop: Acceptance and rejection at the journal of international economics," Journal of International Economics, Elsevier, vol. 77(1), pages 120-132, February.
    2. Lutz Bornmann & Klaus Wohlrabe, 2019. "Normalisation of citation impact in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 841-884, August.
    3. David I. Stern, 2013. "Uncertainty Measures for Economics Journal Impact Factors," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 173-189, March.
    4. Gorodnichenko, Yuriy & Pham, Tho & Talavera, Oleksandr, 2021. "Conference presentations and academic publishing," Economic Modelling, Elsevier, vol. 95(C), pages 228-254.
    5. Ewen Callaway, 2016. "Beat it, impact factor! Publishing elite turns against controversial metric," Nature, Nature, vol. 535(7611), pages 210-211, July.
    6. John Hudson & David N. Laband, 2013. "Using and Interpreting Journal Rankings: Introduction," Economic Journal, Royal Economic Society, vol. 0, pages 199-201, August.
    7. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    8. John Hudson, 2013. "Ranking Journals," Economic Journal, Royal Economic Society, vol. 0, pages 202-222, August.
    9. Lucio Bertoli-Barsotti & Tommaso Lando, 2017. "A theoretical model of the relationship between the h-index and other simple citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1415-1448, June.
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    More about this item

    Keywords

    academic publications; efficient mechanisms; optimal categorisation;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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