Literature DB >> 18702093

Productive innovations in hospitals: an empirical research on the relation between technology and productivity in the Dutch hospital industry.

Jos L T Blank1, Bart L Van Hulst.   

Abstract

This paper studies the relationship between technology and productivity in Dutch hospitals. In most studies technical change is measured by a proxy, namely a time trend. In practice however, innovations slowly spread over all hospitals and so different hospitals are operating under different technologies at the same point in time. In this study we explicitly inventory specific and well-known innovations in the Dutch hospital industry in the past ten years. These innovations are aggregated into a limited number of homogenous innovation clusters, which are measured by a set of technology index numbers. The index numbers are included in the cost function specification and estimation. The results indicate that technical change is non-neutral and output- biased and that some technologies affect cost in beneficial ways. Copyright (c) 2008 John Wiley & Sons, Ltd.

Mesh:

Year:  2009        PMID: 18702093     DOI: 10.1002/hec.1395

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  4 in total

1.  Governance and performance: the performance of Dutch hospitals explained by governance characteristics.

Authors:  Jos L T Blank; Bart Laurents van Hulst
Journal:  J Med Syst       Date:  2010-02-24       Impact factor: 4.460

2.  Balancing the health workforce: breaking down overall technical change into factor technical change for labour-an empirical application to the Dutch hospital industry.

Authors:  Jos L T Blank; Bart L van Hulst
Journal:  Hum Resour Health       Date:  2017-02-17

3.  Concentrating Emergency Rooms: Penny-Wise and Pound-Foolish? An Empirical Research on Scale Economies and Chain Economies in Emergency Rooms in Dutch Hospitals.

Authors:  Jos L T Blank; Bart L van Hulst; Vivian G Valdmanis
Journal:  Health Econ       Date:  2016-09-30       Impact factor: 3.046

4.  Using flexible regression models for calculating hospital's production functions.

Authors:  Francisco Reyes-Santías; Octavio Cordova-Arevalo; Elena Rivo-Lopez
Journal:  BMC Health Serv Res       Date:  2020-07-10       Impact factor: 2.655

  4 in total

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