IDEAS home Printed from https://ideas.repec.org/p/uca/ucapdv/165.html
   My bibliography  Save this paper

Pharmaceutical clinical research and regulation: an impact evaluation of public policy

Author

Listed:
  • Ippoliti, Roberto
  • Falavigna, Greta

Abstract

Taking human experimentation into account, this work aims at estimating a policy designed to reduce transaction costs that are related to the protection system of patients' rights, with both a normative and positive approach. On the one hand, considering a sample of European countries as counterfactual, an empirical analysis is performed in order to estimate the impact of a national law aimed at harmonizing the procedure to obtain opinions on clinical trials. On the other hand, an alternative law, which might be able to favor the exchange between pharmaceutical companies and patients, is proposed. Assuming that the competitiveness of the national protection system is based on the time required to obtain an authorization for an experimental activity, pharmaceutical clinical research should be positively affected by a reform of the current law. However, there is also evidence of a wasted opportunity to optimize the governance of the national protection system.

Suggested Citation

  • Ippoliti, Roberto & Falavigna, Greta, 2012. "Pharmaceutical clinical research and regulation: an impact evaluation of public policy," POLIS Working Papers 165, Institute of Public Policy and Public Choice - POLIS.
  • Handle: RePEc:uca:ucapdv:165
    as

    Download full text from publisher

    File URL: https://drive.google.com/file/d/1VdGbSns8LiXcZoGzOiR2_4WRPSk87eO0/view?usp=sharing
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
    2. Coase, R H, 1988. "The Nature of the Firm: Influence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 4(1), pages 33-47, Spring.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    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. Greta Falavigna & Roberto Ippoliti, 2012. "Transaction costs and pharmaceutical clinical research: a Data Envelopment Analysis approach," CERIS Working Paper 201204, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    2. Qingyou Yan & Youwei Wan & Jingye Yuan & Jieting Yin & Tomas Baležentis & Dalia Streimikiene, 2017. "Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities," Energies, MDPI, vol. 10(9), pages 1-19, September.
    3. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    4. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    5. Mehdiloozad, Mahmood & Zhu, Joe & Sahoo, Biresh K., 2018. "Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data," European Journal of Operational Research, Elsevier, vol. 265(2), pages 644-654.
    6. Jin XU & Panagiotis ZERVOPOULOS & Zhenhua QIAN & Gang CHENG, 2012. "A Universal Solution For Units - Invariance In Data Envelopment Analysis," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 3(2), pages 121-128.
    7. Yulin Lu & Chengyu Li & Min-Jae Lee, 2023. "A Study on the Measurement and Influences of Energy Green Efficiency: Based on Panel Data from 30 Provinces in China," Sustainability, MDPI, vol. 15(21), pages 1-17, October.
    8. Martin Eling, 2006. "Performance measurement of hedge funds using data envelopment analysis," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(4), pages 442-471, December.
    9. Jean-Baptiste Fleury & Alain Marciano, 2022. "Methodological Individualism and the Foundations of the "Law and Economics" movement," Post-Print hal-03820441, HAL.
    10. Alexandr Gedranovich & Mykhaylo Salnykov, 2012. "Productivity analysis of Belarusian higher education system," BEROC Working Paper Series 16, Belarusian Economic Research and Outreach Center (BEROC).
    11. Peyrache, Antonio & Rose, Christiern & Sicilia, Gabriela, 2020. "Variable selection in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 282(2), pages 644-659.
    12. Xianmei Wang & Hanhui Hu, 2017. "Sustainable Evaluation of Social Science Research in Higher Education Institutions Based on Data Envelopment Analysis," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    13. Yang, Guo-liang & Fukuyama, Hirofumi & Chen, Kun, 2019. "Investigating the regional sustainable performance of the Chinese real estate industry: A slack-based DEA approach," Omega, Elsevier, vol. 84(C), pages 141-159.
    14. Tao Ding & Ya Chen & Huaqing Wu & Yuqi Wei, 2018. "Centralized fixed cost and resource allocation considering technology heterogeneity: a DEA approach," Annals of Operations Research, Springer, vol. 268(1), pages 497-511, September.
    15. Barnabé Walheer, 2018. "Cost Malmquist productivity index: an output-specific approach for group comparison," Journal of Productivity Analysis, Springer, vol. 49(1), pages 79-94, February.
    16. Branda, Martin, 2013. "Diversification-consistent data envelopment analysis with general deviation measures," European Journal of Operational Research, Elsevier, vol. 226(3), pages 626-635.
    17. Paul L. Robertson, 2006. "Transaction Costs, Trust, and the Structuring of Markets," Discussion Papers Series 342, School of Economics, University of Queensland, Australia.
    18. Liu, Haiyue & Zhang, Ruchuan & Zhou, Li & Li, Aijun, 2023. "Evaluating the financial performance of companies from the perspective of fund procurement and application: New strategy cross efficiency network data envelopment analysis models," Energy, Elsevier, vol. 269(C).
    19. Matthias Staat & Maik Hammerschmidt, 2004. "A Super Efficiency Model for Product Evaluation," Microeconomics 0402011, University Library of Munich, Germany.
    20. Meng, Fanyong & Xiong, Beibei, 2021. "Logical efficiency decomposition for general two-stage systems in view of cross efficiency," European Journal of Operational Research, Elsevier, vol. 294(2), pages 622-632.

    More about this item

    Keywords

    Transaction costs; International Review Boards (IRB); Medical researcher; Research subject; Clinical research;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:uca:ucapdv:165. 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: Lucia Padovani (email available below). General contact details of provider: https://www.digspes.uniupo.it .

    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.