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The Determinants of Suppliers’ Performance in E-Procurement: Evidence from the Italian Government’s E-Procurement Platform

Author

Listed:
  • Gian Luigi Albano

    (Italian Public Procurement Agency (Consip S.p.A.))

  • Federico Dini

    (Italian Public Procurement Agency (Consip S.p.A.))

  • Roberto Zampino

    (Italian Public Procurement Agency (Consip S.p.A.) and University of Bari)

  • Marta Fana

    (University of Rome “Tor Vergata”)

Abstract

Participation of small businesses in the market for public contracts is widely recognized as a key policy issue. It is also commonly held that the adoption of e-procurement solutions can be effective in pursuing such an objective. To this end, we analyze the transactions completed in the period 2004-2007 through the Italian Government’s e-procurement platform, that is, the marketplace managed by the Italian Public Procurement Agency (Consip S.p.A.). Although descriptive statistics indicate that micro suppliers are the most represented group of firms in the marketplace, our econometric treatment provides some evidence that the former are less successful than all other suppliers in getting public contracts. Degree of loyalty with buyers, location and the use of other MEPA negotiation tools, also emerge as relevant factors of success in the e-procurement market.

Suggested Citation

  • Gian Luigi Albano & Federico Dini & Roberto Zampino & Marta Fana, 2008. "The Determinants of Suppliers’ Performance in E-Procurement: Evidence from the Italian Government’s E-Procurement Platform," Working Papers 2008.49, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2008.49
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    1. Mark Armstrong, 2006. "Competition in two‐sided markets," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 668-691, September.
    2. Freund, Deborah A. & Kniesner, Thomas J. & LoSasso, Anthony T., 1999. "Dealing with the common econometric problems of count data with excess zeros, endogenous treatment effects, and attrition bias," Economics Letters, Elsevier, vol. 62(1), pages 7-12, January.
    3. Jean-Charles Rochet & Jean Tirole, 2014. "Platform Competition in Two-Sided Markets," CPI Journal, Competition Policy International, vol. 10.
    4. Patrick Bajari & Ali Hortaçsu, 2004. "Economic Insights from Internet Auctions," Journal of Economic Literature, American Economic Association, vol. 42(2), pages 457-486, June.
    5. Caillaud, Bernard & Jullien, Bruno, 2003. " Chicken & Egg: Competition among Intermediation Service Providers," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 309-328, Summer.
    6. Alexandre Gaudeul & Bruno Jullien, 2001. "E-commerce. Quelques éléments d'économie industrielle," Revue économique, Presses de Sciences-Po, vol. 52(7), pages 97-117.
    7. Freund, D.A. & Kniesner, T.J. & LoSasso, A.T., 1996. "How Managed Care Affects Medicaid Utilization : A Synthetic Difference-in-Difference Zero-Inflated Count Model," Discussion Paper 1996-40, Tilburg University, Center for Economic Research.
    8. Caillaud, Bernard & Jullien, Bruno, 2001. "Competing cybermediaries," European Economic Review, Elsevier, vol. 45(4-6), pages 797-808, May.
    9. Bruno Jullien, 2005. "Two-sided Markets and Electronic Intermediaries," CESifo Economic Studies, CESifo, vol. 51(2-3), pages 233-260.
    10. Davutyan, Nurhan, 1989. "Bank failures as Poisson variates," Economics Letters, Elsevier, vol. 29(4), pages 333-338.
    11. Blundell, Richard & Griffith, Rachel & Van Reenen, John, 1995. "Dynamic Count Data Models of Technological Innovation," Economic Journal, Royal Economic Society, vol. 105(429), pages 333-344, March.
    12. Cameron, A Colin & Windmeijer, Frank A G, 1996. "R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 209-220, April.
    13. A. C. Cameron & P. K. Trivedi & Frank Milne & J. Piggott, 1988. "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia," Review of Economic Studies, Oxford University Press, vol. 55(1), pages 85-106.
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    More about this item

    Keywords

    E-Procurement; Small Suppliers; Request For Quotations; Performance; Public Contracts; Count Data;

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • H57 - Public Economics - - National Government Expenditures and Related Policies - - - Procurement
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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