IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v112y2016icp79-91.html
   My bibliography  Save this article

Cost–benefit analysis of applied research infrastructure. Evidence from health care

Author

Listed:
  • Battistoni, Giuseppe
  • Genco, Mario
  • Marsilio, Marta
  • Pancotti, Chiara
  • Rossi, Sandro
  • Vignetti, Silvia

Abstract

The present study aims at offering empirical evidence to improve existing knowledge and theory building on research infrastructure evaluation. Through an inductive case study research strategy, an innovative cost–benefit analysis framework has been used to assess the impact of an applied research infrastructure. The case study is the National Hadrontherapy Centre for Cancer Treatment (CNAO) located in Pavia (Italy). 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 non-commercial accelerators technology and sophisticated control and dose delivery systems. The analysis shows that with a fairly high probability the Centre provides a positive 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 or they have no alternatives. 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 cost–benefit analysis (CBA) 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). Evidences show that the adopted CBA framework 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

  • Battistoni, Giuseppe & Genco, Mario & Marsilio, Marta & Pancotti, Chiara & Rossi, Sandro & Vignetti, Silvia, 2016. "Cost–benefit analysis of applied research infrastructure. Evidence from health care," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 79-91.
  • Handle: RePEc:eee:tefoso:v:112:y:2016:i:c:p:79-91
    DOI: 10.1016/j.techfore.2016.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162516300233
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2016.04.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Drummond, Michael F. & Sculpher, Mark J. & Torrance, George W. & O'Brien, Bernie J. & Stoddart, Greg L., 2005. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 3, number 9780198529453.
    2. 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.
    3. 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.
    4. Krammer, Sorin M.S., 2015. "Do good institutions enhance the effect of technological spillovers on productivity? Comparative evidence from developed and transition economies," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 133-154.
    5. Robert J. Brent, 2003. "Cost–Benefit Analysis and Health Care Evaluations," Books, Edward Elgar Publishing, number 2555.
    6. Norihisa Sakurai & Evangelos Ioannidis & George Papaconstantinou, 1996. "The Impact of R&D and Technology Diffusion on Productivity Growth: Evidence for 10 OECD Countries in the 1970s and 1980s," OECD Science, Technology and Industry Working Papers 1996/2, OECD Publishing.
    7. Dreze, Jean & Stern, Nicholas, 1987. "The theory of cost-benefit analysis," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 2, chapter 14, pages 909-989, Elsevier.
    8. repec:reg:rpubli:282 is not listed on IDEAS
    9. 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.
    10. Dreze, Jean & Stern, Nicholas, 1990. "Policy reform, shadow prices, and market prices," Journal of Public Economics, Elsevier, vol. 42(1), pages 1-45, June.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Paolo Castelnovo & Martina Dal Molin, 2021. "The learning mechanisms through public procurement for innovation: The case of government‐funded basic research organizations," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(3), pages 411-446, September.
    3. Daniel Alonso-Martínez & Nuria González-Álvarez & Mariano Nieto, 2021. "Does international patent collaboration have an effect on entrepreneurship?," Journal of International Entrepreneurship, Springer, vol. 19(4), pages 539-559, December.
    4. Andrea Bastianin & Paolo Castelnovo & Massimo Florio & Anna Giunta, 2019. "Technological Learning and Innovation Gestation Lags at the Frontier of Science: from CERN Procurement to Patent," Papers 1905.09552, arXiv.org.
    5. Alonso-Martínez, Daniel, 2018. "Social progress and international patent collaboration," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 169-177.
    6. 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.
    7. Castelnovo, Paolo & Florio, Massimo & Forte, Stefano & Rossi, Lucio & Sirtori, Emanuela, 2018. "The economic impact of technological procurement for large-scale research infrastructures: Evidence from the Large Hadron Collider at CERN," Research Policy, Elsevier, vol. 47(9), pages 1853-1867.
    8. 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.
    9. Morretta, Valentina & Vurchio, Davide & Carrazza, Stefano, 2022. "The socio-economic value of scientific publications: The case of Earth Observation satellites," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    10. Andrea, Bastianin & Chiara F., Del Bo, 2019. "Procurement in Big Science Centres: politics or technology? Evidence from CERN," Working Papers 410, University of Milano-Bicocca, Department of Economics, revised 21 May 2019.
    11. Landoni, Matteo, 2020. "Knowledge creation in state-owned enterprises," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 77-85.
    12. Massimo FLORIO & Francesco GIFFONI, 2017. "Willingness-to-Pay for Science as a Public Good: A Contingent Valuation Experiment," Departmental Working Papers 2017-17, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. Rintaro Yamaguchi, 2019. "Intergenerational Discounting with Intragenerational Inequality in Consumption and the Environment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 957-972, August.
    5. Elisa BORGHI & Chiara DEL BO & Massimo FLORIO, 2010. "The theory of public enterprise, social welfare and planning: a note," Departmental Working Papers 2010-20, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    6. Aldy, Joseph, 2019. "Birds of a Feather: Estimating the Value of Statistical Life from Dual-Earner Families," Working Paper Series rwp19-013, Harvard University, John F. Kennedy School of Government.
    7. Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2006. "Pinning Down the Value of Statistical Life," Center for Policy Research Working Papers 85, Center for Policy Research, Maxwell School, Syracuse University.
    8. Herrera-Araujo, Daniel & Rochaix, Lise, 2020. "Does the Value per Statistical Life vary with age or baseline health? Evidence from a compensating wage study in France," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    9. Chiara Del Bo & Carlo Fiorio & Massimo Florio, 2011. "Shadow Wages for the EU Regions," Fiscal Studies, Institute for Fiscal Studies, vol. 32(1), pages 109-143, March.
    10. Paola Bertoli & Veronica Grembi, 2017. "The life‐saving effect of hospital proximity," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 78-91, September.
    11. Seth Baum & William Easterling, 2010. "Space-time discounting in climate change adaptation," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(6), pages 591-609, August.
    12. H. Spencer Banzhaf, 2014. "Retrospectives: The Cold-War Origins of the Value of Statistical Life," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 213-226, Fall.
    13. Chakravarty, Amiya K., 2014. "Humanitarian relief chain: Rapid response under uncertainty," International Journal of Production Economics, Elsevier, vol. 151(C), pages 146-157.
    14. Andreas Kuhn & Oliver Ruf, 2009. "The Value of a Statistical Injury: New Evidence from the Swiss Labor Market," NRN working papers 2009-15, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    15. Gianmarco León & Edward Miguel, 2017. "Risky Transportation Choices and the Value of a Statistical Life," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 202-228, January.
    16. Henrik Andersson & Nicolas Treich, 2011. "The Value of a Statistical Life," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 17, Edward Elgar Publishing.
    17. Garrett C. Waycaster & Taiki Matsumura & Volodymyr Bilotkach & Raphael T. Haftka & Nam H. Kim, 2018. "Review of Regulatory Emphasis on Transportation Safety in the United States, 2002–2009: Public versus Private Modes," Risk Analysis, John Wiley & Sons, vol. 38(5), pages 1085-1101, May.
    18. Kuhn, Andreas & Ruf, Oliver, 2009. "The Value of a Statistical Injury: New Evidence from the Swiss Labor Market," IZA Discussion Papers 4409, Institute of Labor Economics (IZA).
    19. Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2012. "The Value of a Statistical Life: Evidence from Panel Data," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 74-87, February.
    20. Anna Alberini & Stefania Tonin & Margherita Turvani & Aline Chiabai, 2007. "Paying for permanence: Public preferences for contaminated site cleanup," Journal of Risk and Uncertainty, Springer, vol. 34(2), pages 155-178, April.

    More about this item

    Keywords

    Cost–benefit analysis; Applied 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:112:y:2016:i:c:p:79-91. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.