Market Structure and Technical Efficiency in the Hospital Services Industry: A DEA Approach

This article uses data envelopment analysis and multiple regression analysis to examine empirically the impact of various market-structure elements on the technical efficiency of the hospital services industry in various metropolitan areas of the United States. Market-structure elements include the degree of rivalry among hospitals, extent of HMO activity, and health insurer concentration. The DEA results show the typical hospital services industry experienced 11 percent inefficiency in 1999. Moreover, multiple regression analysis indicates the level of technical efficiency varied directly across metropolitan hospital services industries in response to greater HMO activity and private health insurer concentration in the state. The analysis suggests the degree of rivalry among hospitals had no marginal effect on technical efficiency at the industry level. Evidence also implies that the presence of a state Certificate of Need law was not associated with a greater degree of inefficiency in the typical metropolitan hospital services industry.

[1]  A. Worthington,et al.  Frontier Efficiency Measurement in Health Care: A Review of Empirical Techniques and Selected Applications , 2004, Medical care research and review : MCRR.

[2]  C. F. Phillips Industrial Market Structure and Economic Performance , 1971 .

[3]  J. Hausman Specification tests in econometrics , 1978 .

[4]  William J. Baumol,et al.  Business Behavior, Value, and Growth , 1960 .

[5]  J. Henderson,et al.  Efficiency of resource usage and city size , 1986 .

[6]  Yasar A. Ozcan,et al.  Efficiency of hospital service production in local markets: The balance sheet of U.S. medical armament , 1995 .

[7]  H. David Sherman,et al.  Health Care Applications , 2004 .

[8]  D. Chollet,et al.  Mapping State Health Insurance Markets 2001 Structure and Change , 2003 .

[9]  David A. Jaeger,et al.  Problems with Instrumental Variables Estimation when the Correlation between the Instruments and the Endogenous Explanatory Variable is Weak , 1995 .

[10]  R. Town,et al.  Hospital competition in HMO networks. , 2001, Journal of health economics.

[11]  C E Phelps,et al.  Diffusion of information in medical care. , 1992, The journal of economic perspectives : a journal of the American Economic Association.

[12]  James C. Robinson,et al.  The impact of hospital market structure on patient volume, average length of stay, and the cost of care. , 1985, Journal of health economics.

[13]  Rexford E. Santerre,et al.  The Effect of Competition on Reserve Capacity: The Case of California Hospitals in the Late 1990s , 2004, International Journal of Health Care Finance and Economics.

[14]  Vivian Valdmanis,et al.  Sensitivity analysis for DEA models: An empirical example using public vs. NFP hospitals , 1992 .

[15]  S Grosskopf,et al.  Evaluating hospital performance with case-mix-adjusted outputs. , 1993, Medical care.

[16]  Hurvey Leibenstein Allocative efficiency vs. X-Efficiency , 1966 .

[17]  Michael A. Morrisey,et al.  The Role of Physicians in Hospital Production , 1986 .

[18]  Paul W. Wilson,et al.  Variation In Inefficiency Among Us Hospitals , 1998 .

[19]  H. White A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[20]  D. Wholey,et al.  Do HMOs Have Monopsony Power? , 2001, International Journal of Health Care Finance and Economics.

[21]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[22]  S. Grosskopf,et al.  Measuring hospital performance. A non-parametric approach. , 1987, Journal of health economics.

[23]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[24]  Bruce G. Hutchinson,et al.  EMPIRICAL ANALYSIS OF OFFICE RENT AND AGGLOMERATION ECONOMIES: A CASE STUDY OF TORONTO* , 1995 .

[25]  Gerald A. Carlino,et al.  INCREASING RETURNS TO SCALE IN METROPOLITAN MANUFACTURING , 1979 .

[26]  Theodore E. Keeler,et al.  Hospital Costs and Excess Bed Capacity: A Statistical Analysis , 1993 .

[27]  V. Valdmanis Ownership and technical efficiency of hospitals. , 1990, Medical care.

[28]  Joe Zhu,et al.  Data Envelopment Analysis , 2007 .

[29]  D. Salkever REGULATION OF PRICES AND INVESTMENT IN HOSPITALS IN THE UNITED STATES , 2000 .

[30]  R. Santerre,et al.  Survivorship in the US hospital services industry , 2000 .

[31]  B. Hollingsworth,et al.  Efficiency measurement of health care: a review of non‐parametric methods and applications , 1999, Health care management science.

[32]  M. Rosko,et al.  Impact of HMO Penetration and Other Environmental Factors on Hospital X-Inefficiency , 2001, Medical care research and review : MCRR.

[33]  C. Cowan,et al.  Health spending growth slows in 2003. , 2005, Health affairs.

[34]  Yasar A. Ozcan,et al.  Trends in labor efficiency among American hospital markets , 1996, Ann. Oper. Res..

[35]  H Shelton Brown,et al.  Managed care and technical efficiency. , 2003, Health economics.

[36]  James C. Robinson Renewed emphasis on consumer cost sharing in health insurance benefit design. , 2002, Health affairs.

[37]  M. Littman,et al.  1999 County and city extra : annual metro, city and county data book , 1998 .