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Forecasting the socio-economic impact of the Large Hadron Collider : A cost-benefit analysis to 2025 and beyond

Articolo
Data di Pubblicazione:
2016
Citazione:
Forecasting the socio-economic impact of the Large Hadron Collider : A cost-benefit analysis to 2025 and beyond / M. Florio, S. Forte, E. Sirtori. - In: TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. - ISSN 0040-1625. - 112(2016 Nov), pp. 35-83.
Abstract:
In this paper we develop a cost-benefit analysis of a major research infrastructure, the Large Hadron Collider (LHC), the highest-energy accelerator in the world, currently operating at CERN. We show that the evaluation of benefits can be made quantitative by estimating their welfare effects on different types of agents. Four classes of direct benefits are identified, according to the main social groups involved: (a) scientists; (b) students and young researchers; (c) firms in the procurement chain and other organizations; and (d) the general public, including onsite and website visitors and other media users. These benefits are respectively related to the knowledge output of scientists; human capital formation; technological spillovers; and direct cultural effects for the general public. Welfare effects for taxpayers can also be estimated by the contingent valuation of the willingness to pay for a pure public good for which there is no specific direct use (i.e., as non-use value). Using a Monte Carlo approach, we estimate the conditional probability distribution of costs and benefits for the LHC from 1993 until its planned decommissioning in 2025, assuming a range of values for some critical stochastic variables. We conservatively estimate that there is around a 90% probability that benefits exceed costs, with an expected net present value of about 2.9 billion euro, not considering the unpredictable applications of scientific discovery.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
cost-benefit analysis; human capital; large Hadron collider; technological change; business and international management; management of technology and innovation; applied psychology
Elenco autori:
M. Florio, S. Forte, E. Sirtori
Autori di Ateneo:
FORTE STEFANO ( autore )
Link alla scheda completa:
https://air.unimi.it/handle/2434/438963
Link al Full Text:
https://air.unimi.it/retrieve/handle/2434/438963/691423/1603.00886.pdf
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Settori (4)


Settore FIS/04 - Fisica Nucleare e Subnucleare

Settore FIS/08 - Didattica e Storia della Fisica

Settore SECS-P/03 - Scienza delle Finanze

Settore SECS-P/05 - Econometria
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