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Some remarks concerning the cost/benefit analysis applied to LHC at CERN

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  • Schopper, Herwig

Abstract

The cost/benefit analysis originally developed for infrastructures in the economic sector has recently been extended by Florio et al. to infrastructures of basic research. As a case study the large accelerator LHC at CERN and its experiments have been selected since as a paradigmatic example of frontier research they offer an excellent case to test the CBA model. It will be shown that in spite of this improved method the LHC poses serious difficulties for such an analysis. Some principle difficulties are due to the special character of scientific projects. Their main result is the production of new basic scientific knowledge whose net social value cannot be easily expressed in monetary terms. Other problems are related to the very strong integration of LHC into the general activities of CERN providing however, interesting observations concerning a new management style for global projects. Finally the mission of CERN (including LHC) is unique since it was founded with two tasks—promote science and bring nations together. No way has yet been developed to assess in economic terms success for the second objective. The main conclusion is that the overall result of the CB analysis, the Net Present Value, although positive for LHC, has a large uncertainty and if used to assess a project needs a detailed discussion. On the other hand partial results can be very useful, for example for the results of education or technology transfer.

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  • Schopper, Herwig, 2016. "Some remarks concerning the cost/benefit analysis applied to LHC at CERN," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 54-64.
    • Handle: RePEc:eee:tefoso:v:112:y:2016:i:c:p:54-64
    DOI: 10.1016/j.techfore.2016.02.007
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    Cited by:

    1. Elisa D?Adamo, 2018. "La Cost-Benefit Analysis delle grandi infrastrutture: un riesame del Large Hadron Collider (LHC) del CERN," PRISMA Economia - Societ? - Lavoro, FrancoAngeli Editore, vol. 2018(1-2), pages 97-108.
    2. Scarrà, Deepa & Piccaluga, Andrea, 2022. "The impact of technology transfer and knowledge spillover from Big Science: a literature review," Technovation, Elsevier, vol. 116(C).
    3. Wareham, Jonathan & Pujol Priego, Laia & Romasanta, Angelo Kenneth & Mathiassen, Thomas Wareham & Nordberg, Markus & Tello, Pablo Garcia, 2022. "Systematizing serendipity for big science infrastructures: The ATTRACT project," Technovation, Elsevier, vol. 116(C).
    4. David Eggleton, 2020. "Tailoring Leadership to the Phase-Specific Needs of Large Scale Research Infrastructures," SPRU Working Paper Series 2020-15, SPRU - Science Policy Research Unit, University of Sussex Business School.

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