Electronic tendering of pharmaceuticals and medical devices in Chile

The present study investigates the effect of electronic tendering on the price paid by the public sector for pharmaceuticals and medical devices in Chile. This study uses two panel regression models to analyze a data set that covers 6888 tenders for these items between 2001 and 2006, which spans 2004, the year when use of the Chilecompra electronic platform becomes obligatory. Model 1 explains the winning bid in each tender relative to the historic price, whereas Model 2 explains the winning bid relative to the concurrent price paid by drugstore chains. The regressors include variables which in the theoretical literature are indirectly associated with purchase prices (tender volume, the number of bidders and the time between tenders) and a Chilecompra dummy variable which captures the direct effect of the platform. The novel hypothesis of this paper is that e-tendering engages the market mechanism more effectively than traditional tendering, because of reduced corruption and less supplier collusion, which results in a direct platform effect. The empirical results support the volume effect. Greater aggregation of purchases leads to 2.8% lower prices. The evidence does not support the other indirect channels. More bidders result in lower prices, but the number of bidders fails to increase after Chilecompra. More frequent tendering leads to lower prices for medical devices, but tender frequency decreases after the implementation of the platform. Finally, the empirical results confirm the direct platform effect. Electronic tendering over Chilecompra leads directly to a greater than 8% reduction in prices. These results contribute to the literature on the returns to IT investments.

[1]  Garth Saloner,et al.  A Supergame-Theoretic Model of Price Wars during Booms , 1986 .

[2]  T. Dunne,et al.  An Empirical Analysis of Entrant and Incumbent Bidding in Road Construction Auctions , 2003 .

[3]  M. Whinston,et al.  Multimarket Contact and Collusive Behavior , 1990 .

[4]  Ramayya Krishnan,et al.  E-Business and Management Science: Mutual Impacts (Part 2 of 2) , 2003, Manag. Sci..

[5]  Leandro Arozamena,et al.  The Effect of Corruption on Bidding Behavior in First-Price Auctions , 2005 .

[6]  Sandy D. Jap An Exploratory Study of the Introduction of Online Reverse Auctions , 2003 .

[7]  John Kenneth Galbraith,et al.  American Capitalism; The Concept of Countervailing Power , 1952 .

[8]  J. Laffont Game Theory and Empirical Economics: The Case of Auction Data , 1997 .

[9]  J. Hellerstein,et al.  The importance of the physician in the generic versus trade-name prescription decision. , 1998, The Rand journal of economics.

[10]  Wedad Elmaghraby Auctions and Pricing in E-Marketplaces , 2004 .

[11]  V. Wu Managed care's price bargaining with hospitals. , 2009, Journal of health economics.

[12]  R. Di Tella,et al.  The Role of Wages and Auditing During a Crackdown on Corruption in the City of Buenos Aires , 2001 .

[13]  A. Yakovlev,et al.  The Effectiveness of Simple Homogeneous Commodity Procurement Under Rigid Governmental Regulation: The Case of Granulated Sugar Procurement in Russia , 2014 .

[14]  Jonathan S. Feinstein,et al.  Asymmetric Information and Collusive Behavior in Auction Markets , 1985 .

[15]  G. Chow Tests of equality between sets of coefficients in two linear regressions (econometrics voi 28 , 1960 .

[16]  D. J. Wu,et al.  E-Sourcing: Impact ff Bidding Behavior and Non-Price Attributes , 2006, ICIS.

[17]  Andrea Prat,et al.  Active and Passive Waste in Government Spending: Evidence from a Policy Experiment , 2008 .

[18]  S. Croom The Impact of Web-Based Procurement on the Management of Operating Resources Supply , 2000 .

[19]  M. Arellano,et al.  Computing Robust Standard Errors for Within-Groups Estimators , 2009 .

[20]  Marcos Singer,et al.  Does e-procurement save the state money? , 2009 .

[21]  R. McAfee,et al.  Auctions and Bidding , 1986 .

[22]  P. Klemperer Auction Theory: A Guide to the Literature , 1999 .

[23]  L. D. Boer,et al.  A conceptual model for assessing the impact of electronic procurement , 2002 .

[24]  Francesco Gardenal A model to measure e-procurement impacts on organizational performance , 2013 .

[25]  Jyrki Wallenius,et al.  European Journal of Operational Research Multi-attribute Online Reverse Auctions: Recent Research Trends , 2022 .

[26]  J. Macdonald,et al.  Competition and Prices in USDA Commodity Procurement , 2002 .

[27]  Patrick Bajari,et al.  DETECTING COLLUSION IN PROCUREMENT AUCTIONS , 2016 .

[28]  Nicola Dimitri,et al.  “Best value for money” in procurement , 2013 .

[29]  R. McAfee,et al.  Auctions and Bid Rigging , 2014 .

[30]  R. Solow We’d better watch out , 1987 .

[31]  E. Sičáková-beblavá,et al.  DO E-AUCTIONS REALY IMPROVE THE EFFICIENCY OF PUBLIC PROCUREMENT? THE CASE OF THE SLOVAK MUNICIPALITIES , 2013 .

[32]  Martin Bichler,et al.  Industrial Procurement Auctions , 2005 .

[33]  E. Auriol,et al.  Corruption in Procurement and Public Purchase , 2006 .

[34]  Thomas Morris,et al.  Reinventing the Supplier Negotiation Process at Motorola , 2005, Interfaces.

[35]  E. Brynjolfsson,et al.  Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .

[36]  Krishnan S. Anand,et al.  Group Buying on the Web: A Comparison of Price-Discovery Mechanisms , 2003, Manag. Sci..

[37]  W. J. Moore,et al.  Drug Formulary Restrictions as a Cost-Containment Policy in Medicaid Programs , 1993, The Journal of Law and Economics.

[38]  D. J. Wu,et al.  Which Came First, it or Productivity? Virtuous Cycle of Investment and Use in Enterprise Systems , 2006, ICIS.

[39]  Lorin M. Hitt,et al.  Costly Bidding in Online Markets for IT Services , 2003, Manag. Sci..

[40]  Sunil Mithas,et al.  Do Auction Parameters Affect Buyer Surplus in E-Auctions for Procurement? , 2009 .

[41]  Abraham Seidmann,et al.  Managing Online Auctions: Current Business and Research Issues , 2003, Manag. Sci..

[42]  Christopher M. Snyder A Dynamic Theory of Countervailing Power , 1996 .

[43]  I. K. Lee Non-cooperative Tacit Collusion, Complementary Bidding and Incumbency Premium , 1999 .

[44]  Sofia Lundberg,et al.  Auction Formats and Award Rules in Swedish Procurement Auctions , 2006 .

[45]  G. Stigler A Theory of Oligopoly , 1964, Journal of Political Economy.

[46]  C. Manasakis,et al.  Downstream Mode of Competition with Upstream Market Power , 2014 .

[47]  J. Tirole The Theory of Industrial Organization , 1988 .

[48]  Vincent A. Mabert,et al.  Online reverse auctions: Common myths versus evolving reality , 2007 .

[49]  Christopher M. Snyder,et al.  Countervailing Power in Wholesale Pharmaceuticals , 2001 .

[50]  A. Ho Reinventing Local Governments and the E‐Government Initiative , 2002 .

[51]  Howard W. Smith,et al.  Department of Economics Discussion Paper Series Upstream Competition and Downstream Buyer Power Upstream Competition and Downstream Buyer Power , 2022 .

[52]  M. Katz The Welfare Effects of Third-Degree Price Discrimination in Intermediate Good Markets , 1987 .

[53]  Wedad Elmaghraby,et al.  Auctions within E‐Sourcing Events , 2007 .

[54]  J. Douglass Klein,et al.  The Price Effects of Increased Competition in Auction Markets , 1987 .

[55]  Alan T. Sorensen Insurer-hospital bargaining: negotiated discounts in post-deregulation connecticut , 2003 .

[56]  Alexandru V. Roman,et al.  E-Procurement: Myth or Reality , 2012 .

[57]  Theo Offerman,et al.  Competitive Bidding in Auctions with Private and Common Values , 2000 .

[58]  Allan T. Ingraham A Test for Collusion between a Bidder and an Auctioneer in Sealed-Bid Auctions , 2005 .

[59]  Srabana Gupta Competition and collusion in a government procurement auction market , 2002 .

[60]  Martin Pesendorfer A Study of Collusion in First-Price Auctions , 2000 .