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Spatial heterogeneity in non-parametric efficiency: An application to Italian hospitals

Author

Listed:
  • Auteri, M.
  • Guccio, C.
  • Pammolli, F.
  • Pignataro, G.
  • Vidoli, F.

Abstract

This paper introduces a new empirical procedure for the estimation of hospitals' technical efficiency in presence of spatial heterogeneity. We propose a methodology that allows treating spatial heterogeneity independently of a predetermined reference to administrative borders. We define geographical spatial regimes, characterised by spatial proximity and homogeneity of relevant demand characteristics, within which to assess the efficiency of hospitals. The methodology has then been tested on a large sample of Italian hospitals, for which their production efficiency has been assessed within homogeneous demand areas.

Suggested Citation

  • Auteri, M. & Guccio, C. & Pammolli, F. & Pignataro, G. & Vidoli, F., 2019. "Spatial heterogeneity in non-parametric efficiency: An application to Italian hospitals," Social Science & Medicine, Elsevier, vol. 239(C).
    • Handle: RePEc:eee:socmed:v:239:y:2019:i:c:s0277953619305386
    DOI: 10.1016/j.socscimed.2019.112544
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    Citations

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    Cited by:

    1. Yu Fu & Agus Supriyadi & Tao Wang & Luwei Wang & Giuseppe T. Cirella, 2020. "Effects of Regional Innovation Capability on the Green Technology Efficiency of China’s Manufacturing Industry: Evidence from Listed Companies," Energies, MDPI, vol. 13(20), pages 1-22, October.
    2. Vidoli, Francesco & Pignataro, Giacomo & Benedetti, Roberto, 2022. "Identification of spatial regimes of the production function of Italian hospitals through spatially constrained cluster-wise regression," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    3. Guccio, C. & Lisi, D. & Martorana, M.F. & Pignataro, G., 2020. "Incorporating quality in the efficiency assessment of hospitals using a generalized directional distance function approach," Health, Econometrics and Data Group (HEDG) Working Papers 20/17, HEDG, c/o Department of Economics, University of York.
    4. Cristian Barra & Raffaele Lagravinese & Roberto Zotti, 2022. "Exploring hospital efficiency within and between Italian regions: new empirical evidence," Journal of Productivity Analysis, Springer, vol. 57(3), pages 269-284, June.
    5. Georgios Georgiadis & Ioannis Politis & Panagiotis Papaioannou, 2020. "How Does Operational Environment Influence Public Transport Effectiveness? Evidence from European Urban Bus Operators," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    6. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    7. Roberto Benedetti & Federica Piersimoni & Giacomo Pignataro & Francesco Vidoli, 2020. "Identification of spatially constrained homogeneous clusters of COVID‐19 transmission in Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1169-1187, December.
    8. 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).

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