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Social benefits and costs of large scale research infrastructures

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  • Florio, Massimo
  • Sirtori, Emanuela

Abstract

This paper explores some of the methodological issues involved in a cost–benefit analysis framework for large scale capital-intensive research infrastructures. We propose a conceptual model based on the estimation of quantities and shadow prices of cost aggregates, and of six main categories of economic benefits: technological spillovers, human capital formation, knowledge outputs, cultural effects, services to third parties including consumers, and a public good, the pure value of discovery. We justify the reasons why these benefits of research infrastructures should be often expected to be the core ones in ex-ante project evaluation. Other benefits may be considered as well, but often by qualitative methods only. Empirical approaches are suggested for further applied research.

Suggested Citation

  • Florio, Massimo & Sirtori, Emanuela, 2016. "Social benefits and costs of large scale research infrastructures," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 65-78.
  • Handle: RePEc:eee:tefoso:v:112:y:2016:i:c:p:65-78
    DOI: 10.1016/j.techfore.2015.11.024
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    Cited by:

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    2. Abad Chabbi & Henry W. Loescher, 2017. "The Lack of Alignment among Environmental Research Infrastructures May Impede Scientific Opportunities," Challenges, MDPI, vol. 8(2), pages 1-8, July.
    3. Scarrà, Deepa & Piccaluga, Andrea, 2022. "The impact of technology transfer and knowledge spillover from Big Science: a literature review," Technovation, Elsevier, vol. 116(C).
    4. Kroll, Henning & Hansmeier, Hendrik & Hufnagl, Miriam, 2022. "Productive interactions in basic research an enquiry into impact pathways at the DESY synchrotron," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. 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).
    6. Paolo CASTELNOVO & Massimo FLORIO, 2019. "Mission-oriented Public Organizations for Knowledge Creation," Departmental Working Papers 2019-09, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    7. Massimo Florio & Francesco Giffoni & Gelsomina Catalano, 2020. "Should governments fund basic science? Evidence from a willingness-to-pay experiment in five universities," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 23(1), pages 16-33, January.
    8. Massimo FLORIO & Francesco GIFFONI, 2019. "L’impatto sociale della produzione di scienza su larga scala: come governarlo?," Departmental Working Papers 2019-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    9. Florio, Massimo & Forte, Stefano & Sirtori, Emanuela, 2016. "Forecasting the socio-economic impact of the Large Hadron Collider: A cost–benefit analysis to 2025 and beyond," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 38-53.
    10. Giulio Ecchia & Chris O'Leary & Luciano Messori, 2021. "Ex‐ante socio‐economic impact assessment for a social science research infrastructure: The case of EuroCohort," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(3), pages 531-563, September.
    11. Landoni, Matteo, 2020. "Knowledge creation in state-owned enterprises," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 77-85.
    12. Novikova, Tatyana S., 2022. "Investments in research infrastructure on the project level: Problems, methods and mechanisms," Evaluation and Program Planning, Elsevier, vol. 91(C).
    13. Wenchao Xu & Yanmei Xu & Junfeng Li, 2017. "A Study of RI Clusters Based on Symbiosis Theory," Sustainability, MDPI, vol. 9(3), pages 1-13, March.
    14. Agnieszka Dudziak & Monika Stoma & Emilia Osmólska, 2023. "Analysis of Consumer Behaviour in the Context of the Place of Purchasing Food Products with Particular Emphasis on Local Products," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
    15. Wu, Yunna & Yong, Xingkai & Tao, Yao & Zhou, Jianli & He, Jiaming & Chen, Wenjun & Yang, Yingying, 2023. "Investment monitoring key points identification model of big science research infrastructures -- Fuzzy BWM-entropy-PROMETHEE Ⅱ method," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    16. Massimo FLORIO & Andrea BASTIANIN & Paolo CASTELNOVO, 2017. "The Socio–Economic Impact of a Breakthrough in the Particle Accelerators’ Technology: A Research Agenda," Departmental Working Papers 2017-18, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    17. Gelsomina CATALANO & Massimo FLORIO & Francesco GIFFONI, 2016. "Willingness to Pay for Basic Research: A Contingent Valuation Experiment on the Large Hadron Collider," Departmental Working Papers 2016-03, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    18. Andrea Bastianin & Paolo Castelnovo & Massimo Florio & Anna Giunta, 2022. "Big science and innovation: gestation lag from procurement to patents for CERN suppliers," The Journal of Technology Transfer, Springer, vol. 47(2), pages 531-555, April.

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    More about this item

    Keywords

    Research infrastructures; Cost–benefit analysis; Externalities; Public good; Knowledge;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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