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On the effect of prospective payment on local hospital competition in Germany

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  • Helmut Herwartz
  • Christoph Strumann
Abstract
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  • Helmut Herwartz & Christoph Strumann, 2012. "On the effect of prospective payment on local hospital competition in Germany," Health Care Management Science, Springer, vol. 15(1), pages 48-62, March.
    • Handle: RePEc:kap:hcarem:v:15:y:2012:i:1:p:48-62
    DOI: 10.1007/s10729-011-9180-9
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    References listed on IDEAS

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    11. Propper, Carol & Burgess, Simon & Green, Katherine, 2004. "Does competition between hospitals improve the quality of care?: Hospital death rates and the NHS internal market," Journal of Public Economics, Elsevier, vol. 88(7-8), pages 1247-1272, July.
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    27. Augurzky, Boris & Engel, Dirk & Schwierz, Christoph, 2006. "Who gets the Credit? Determinants of the Probability of Default in the German Hospital Sector," RWI Discussion Papers 54, RWI - Leibniz-Institut für Wirtschaftsforschung.
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    29. Johannes Van Biesebroeck, 2007. "Robustness Of Productivity Estimates," Journal of Industrial Economics, Wiley Blackwell, vol. 55(3), pages 529-569, September.
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    Cited by:

    1. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    2. Thomas Czypionka & Markus Kraus & Susanne Mayer & Gerald Röhrling, 2014. "Efficiency, ownership, and financing of hospitals: The case of Austria," Health Care Management Science, Springer, vol. 17(4), pages 331-347, December.
    3. Helmut Herwartz & Christoph Strumann, 2014. "Hospital efficiency under prospective reimbursement schemes: an empirical assessment for the case of Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(2), pages 175-186, March.
    4. Ivonne Lindlbauer & Jonas Schreyögg, 2014. "The relationship between hospital specialization and hospital efficiency: do different measures of specialization lead to different results?," Health Care Management Science, Springer, vol. 17(4), pages 365-378, December.
    5. Vomhof, Markus, 2016. "Hospital competition with heterogeneous patient groups: Incentives and regulation," Ruhr Economic Papers 624, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Vogl, Matthias, 2013. "Improving patient-level costing in the English and the German ‘DRG’ system," Health Policy, Elsevier, vol. 109(3), pages 290-300.
    7. Mª Isabel Ortega-Díaz & Ricardo Ocaña-Riola & Carmen Pérez-Romero & José Jesús Martín-Martín, 2020. "Multilevel Analysis of the Relationship between Ownership Structure and Technical Efficiency Frontier in the Spanish National Health System Hospitals," IJERPH, MDPI, vol. 17(16), pages 1-19, August.
    8. Helmig, Bernd & Hinz, Vera & Ingerfurth, Stefan, 2014. "Extending Miles & Snow's strategy choice typology to the German hospital sector," Health Policy, Elsevier, vol. 118(3), pages 363-376.
    9. Cavalieri, M.; Di Caro, P.; Guccio, C.; Lisi, D.;, 2017. "Does neighbour’s grass matter? Exploring spatial dependent heterogeneity in technical efficiency of Italian hospitals," Health, Econometrics and Data Group (HEDG) Working Papers 17/13, HEDG, c/o Department of Economics, University of York.
    10. Annika Maren Schneider & Eva-Maria Oppel & Jonas Schreyögg, 2020. "Investigating the link between medical urgency and hospital efficiency – Insights from the German hospital market," Health Care Management Science, Springer, vol. 23(4), pages 649-660, December.
    11. Buczak-Stec, Elżbieta & Goryński, Paweł & Nitsch-Osuch, Aneta & Kanecki, Krzysztof & Tyszko, Piotr, 2017. "The impact of introducing a new hospital financing system (DRGs) in Poland on hospitalisations for atherosclerosis: An interrupted time series analysis (2004–2012)," Health Policy, Elsevier, vol. 121(11), pages 1186-1193.
    12. Christoph Strumann & Alexander Geissler & Reinhard Busse & Christoph Pross, 2022. "Can competition improve hospital quality of care? A difference-in-differences approach to evaluate the effect of increasing quality transparency on hospital quality," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1229-1242, September.
    13. Fainman, Emily Zhu & Kucukyazici, Beste, 2020. "Design of financial incentives and payment schemes in healthcare systems: A review," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    14. Yauheniya Varabyova & Carl Rudolf Blankart & Aleksandra Torbica & Jonas Schreyögg, 2017. "Comparing the Efficiency of Hospitals in Italy and Germany: Nonparametric Conditional Approach Based on Partial Frontier," Health Care Management Science, Springer, vol. 20(3), pages 379-394, September.
    15. Dinesh R. Pai & Fatma Pakdil & Nasibeh Azadeh-Fard, 2024. "Applications of data envelopment analysis in acute care hospitals: a systematic literature review, 1984–2022," Health Care Management Science, Springer, vol. 27(2), pages 284-312, June.
    16. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    17. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
    18. Christoph Pross & Christoph Strumann & Alexander Geissler & Helmut Herwartz & Nadja Klein, 2018. "Quality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germany," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-30, September.
    19. Juan Piedra-Peña & Diego Prior, 2023. "Analyzing the effect of health reforms on the efficiency of Ecuadorian public hospitals," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 361-392, September.
    20. Nick Krachler & Jennie Auffenberg & Luigi Wolf, 2021. "The Role of Organizational Factors in Mobilizing Professionals: Evidence from Nurse Unions in the United States and Germany," British Journal of Industrial Relations, London School of Economics, vol. 59(3), pages 643-668, September.
    21. Cavalieri, Marina & Di Caro, Paolo & Guccio, Calogero & Lisi, Domenico, 2020. "Does neighbours' grass matter? Testing spatial dependent heterogeneity in technical efficiency of Italian hospitals," Social Science & Medicine, Elsevier, vol. 265(C).
    22. Liyong Lu & Jay Pan, 2021. "Does hospital competition lead to medical equipment expansion? Evidence on the medical arms race," Health Care Management Science, Springer, vol. 24(3), pages 582-596, September.
    23. Jonas Krämer & Jonas Schreyögg & Reinhard Busse, 2019. "Classification of hospital admissions into emergency and elective care: a machine learning approach," Health Care Management Science, Springer, vol. 22(1), pages 85-105, March.
    24. Pirozek, Petr & Komarkova, Lenka & Leseticky, Ondrej & Hajdikova, Tatana, 2015. "Corporate governance in Czech hospitals after the transformation," Health Policy, Elsevier, vol. 119(8), pages 1086-1095.

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    More about this item

    Keywords

    Hospital efficiency; Stochastic frontier analysis; Data envelopment analysis; Spatial analysis; Diagnosis related groups; C21; D61; I11; I18;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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