A contingent valuation experiment about future particle accelerators at CERN.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 16 10 2019
accepted: 18 02 2020
entrez: 12 3 2020
pubmed: 12 3 2020
medline: 19 6 2020
Statut: epublish

Résumé

Investment in basic science is mainly supported by government funding, but little is known about citizens' willingness to pay for large-scale projects. A survey to a representative sample of French taxpayers, designed as a contingent valuation experiment about a future particle accelerator for CERN, reveals that citizens' willingness to pay is correlated with education, income, age, and-crucially-previous awareness, attitudes and interest in science. A (slim) majority of the participants would accept paying more in taxes for CERN. The estimated willingness to pay is higher than the current implicit per capita tax burden of French citizens. The experimental setting is novel and replicable for empirically assessing social attitudes towards science for other research infrastructures and countries.

Identifiants

pubmed: 32160265
doi: 10.1371/journal.pone.0229885
pii: PONE-D-19-28867
pmc: PMC7065825
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0229885

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Science. 2017 Jul 28;357(6349):363-364
pubmed: 28751600
Public Underst Sci. 2012 Feb;21(2):242-53
pubmed: 22586848
Science. 2015 Apr 24;348(6233):375
pubmed: 25908796
PLoS One. 2016 May 27;11(5):e0156409
pubmed: 27232498
Proc Natl Acad Sci U S A. 2019 Apr 9;116(15):7250-7255
pubmed: 30914458
Health Econ. 2003 Aug;12(8):609-28
pubmed: 12898660

Auteurs

Massimo Florio (M)

Department of Economics, Management, and Quantitative Methods, University of Milan, Milan, Italy.

Francesco Giffoni (F)

Department of Economics, Management, and Quantitative Methods, University of Milan, Milan, Italy.
CSIL-Centre for Industrial Studies, Corso Monforte, Milan, Italy.

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