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Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
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A contingent valuation experiment about future particle accelerators at CERN.

Massimo Florio1, Francesco Giffoni1,2

  • 1Department of Economics, Management, and Quantitative Methods, University of Milan, Milan, Italy.

Plos One
|March 12, 2020
PubMed
Summary

French taxpayers show willingness to pay for large science projects like CERN, influenced by education and science interest. A majority would support increased taxes for the particle accelerator.

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Area of Science:

  • Physics
  • Social Sciences

Background:

  • Government funding primarily supports basic science research.
  • Public willingness to pay for large-scale scientific infrastructure is largely unknown.
  • Assessing public support is crucial for future science funding and policy.

Purpose of the Study:

  • To gauge French taxpayers' willingness to pay for a future CERN particle accelerator.
  • To identify factors influencing public financial support for major scientific projects.
  • To establish a replicable method for assessing societal attitudes towards science infrastructure.

Main Methods:

  • A contingent valuation survey was administered to a representative sample of French taxpayers.
  • The study employed an experimental design to assess hypothetical tax contributions.
  • Statistical analysis correlated willingness to pay with demographic and attitudinal variables.

Main Results:

  • A slim majority of participants expressed willingness to pay higher taxes for CERN.
  • Willingness to pay significantly correlated with education, income, age, and prior science engagement.
  • Estimated willingness to pay exceeded the current per capita tax contribution for CERN.

Conclusions:

  • Public support for large-scale basic science projects is attainable and influenced by public engagement.
  • The study demonstrates a novel, replicable method for evaluating societal acceptance of science funding.
  • Findings have implications for funding strategies for future research infrastructures globally.