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The socio-economic impact of the National Hadrontherapy Centre for Cancer Treatment (CNAO): applying a CBA analytical framework

Author

Listed:
  • Chiara PANCOTTI
  • Giuseppe BATTISTONI
  • Mario GENCO
  • Maria Vittoria LIVRAGA
  • Paola MELLA
  • Sandro ROSSI
  • Silvia VIGNETTI

Abstract

This paper provides an assessment of the net welfare impact of the National Hadrontherapy Centre for Cancer Treatment (CNAO) located in Pavia (Italy) in a thirty year-time period. CNAO is an applied research facility specialised in hadrontherapy, an advanced oncological treatment showing clinical advantages as compared to traditional radiotherapy, at the same time being more expensive as it exploits accelerators technology and sophisticated control and dose delivery systems. The methodology used to assess costs and benefits draws from the standard cost-benefit analysis (CBA) adapted in an innovative framework developed to account for the specificities of research infrastructures and complemented by risk analysis. The analysis shows that with a fairly high probability the centre provides a net contribution to society’s welfare. Source of benefits are mainly health treatments to patients, for whom gains in terms of longer or better lives are guaranteed as compared to a counterfactual situation where they are treated with conventional therapies. Such benefits are the direct consequences of the application to end users of the knowledge developed in the centre with research activities and are quantified and assessed on the basis of conventional economic evaluation approaches for health benefits. Additional benefits generated by the centre are typical of research infrastructures in different scientific domains and refer to technological spillovers (namely creation of spin-offs, technological transfer to companies in the supply chain and to other similar facilities), knowledge creation (production of scientific outputs), human capital formation (training of doctoral students, technicians and professionals in the field of hadrontherapy) and cultural outreach (students, researchers and wider public visiting the facilities). This test shows that a CBA framework for assessing the impact of a particle accelerator specifically designed to provide medical treatment is a promising avenue as compared to existing alternative methodologies informing decision-making. Further research is however needed to fine tune the methodology, in particular for what concerns technological spillovers and knowledge creation benefits.

Suggested Citation

  • Chiara PANCOTTI & Giuseppe BATTISTONI & Mario GENCO & Maria Vittoria LIVRAGA & Paola MELLA & Sandro ROSSI & Silvia VIGNETTI, 2015. "The socio-economic impact of the National Hadrontherapy Centre for Cancer Treatment (CNAO): applying a CBA analytical framework," Departmental Working Papers 2015-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    • Handle: RePEc:mil:wpdepa:2015-05
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    1. John Kay & Chris Llewellyn Smith, 1985. "Science Policy and public spending," Fiscal Studies, Institute for Fiscal Studies, vol. 6(3), pages 14-23, August.
    2. Janusz R. Mrozek & Laura O. Taylor, 2002. "What determines the value of life? a meta-analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(2), pages 253-270.
    3. Nordberg, M., 1997. "Transaction Costs and Core Competence Implications of Buyer-Supplier Linkages : The Case of CERN," Other publications TiSEM e4a962c1-51b5-4cf4-8ed6-3, Tilburg University, School of Economics and Management.
    4. Alberini, Anna & Chiabai, Aline, 2007. "Urban environmental health and sensitive populations: How much are the Italians willing to pay to reduce their risks?," Regional Science and Urban Economics, Elsevier, vol. 37(2), pages 239-258, March.
    5. Anton J. Nederhof, 2006. "Bibliometric monitoring of research performance in the Social Sciences and the Humanities: A Review," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 81-100, January.
    6. Viscusi, W Kip & Aldy, Joseph E, 2003. "The Value of a Statistical Life: A Critical Review of Market Estimates throughout the World," Journal of Risk and Uncertainty, Springer, vol. 27(1), pages 5-76, August.
    7. Orley Ashenfelter, 2006. "Measuring the Value of a Statistical Life: Problems and Prospects," Economic Journal, Royal Economic Society, vol. 116(510), pages 10-23, March.
    8. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    9. A. M. Spence, 1981. "The Learning Curve and Competition," Bell Journal of Economics, The RAND Corporation, vol. 12(1), pages 49-70, Spring.
    10. Drew Fudenberg & Jean Tirole, 1983. "Learning-by-Doing and Market Performance," Bell Journal of Economics, The RAND Corporation, vol. 14(2), pages 522-530, Autumn.
    11. Dreze, Jean & Stern, Nicholas, 1990. "Policy reform, shadow prices, and market prices," Journal of Public Economics, Elsevier, vol. 42(1), pages 1-45, June.
    12. Johannesson, Magnus & Jonsson, Bengt, 1991. "Economic evaluation in health care: Is there a role for cost-benefit analysis?," Health Policy, Elsevier, vol. 17(1), pages 1-23, February.
    13. repec:reg:rpubli:282 is not listed on IDEAS
    14. E. Bacchiocchi & F. Montobbio, 2009. "Knowledge diffusion from university and public research. A comparison between US, Japan and Europe using patent citations," The Journal of Technology Transfer, Springer, vol. 34(2), pages 169-181, April.
    15. Landefeld, J.S. & Seskin, E.P., 1982. "The economic value of life: linking theory to practice," American Journal of Public Health, American Public Health Association, vol. 72(6), pages 555-566.
    16. Massimo FLORIO & Emanuela SIRTORI, 2014. "The Evaluation of Research Infrastructures: a Cost-Benefit Analysis Framework," Departmental Working Papers 2014-10, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
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    Cited by:

    1. 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.
    2. L. Vargiu & B. Biagi & M.G. Brandano & P. Postiglione, 2023. "Research Infrastructures and Regional Growth: the case of Europe," Working Paper CRENoS 202314, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

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    More about this item

    Keywords

    Cost-benefit analysis; Research infrastructures; Healthcare; Hadrontherapy;
    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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