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Spatial accessibility indices in the framework of point processes. An application to veterinarian shortage

Author

Listed:
  • Berrada, Mehdi
  • Smida, Zaineb
  • Thomas-Agnan, Christine

Abstract

In a wide range of scientific fields, studying accessibility indices is essential for understanding how easily people can reach spatially distributed activities or resources, including employment opportunities, services, education, and, in particular, healthcare. Within the One Health framework, the health of humans, animals, and their shared environment is interdependent, making ad-equate veterinary care essential for safeguarding public health. The decline in the availability of veterinary healthcare in France adversely affects the health of food-producing animals. With this particular application in mind, and more broadly for supply-to-demand indices, we first reformulate the classical 2SFCA index within the framework of spatial point process theory and propose a new version that addresses its shortcomings. This enables us to define a popula-tion version of the classical as well as the new 2SFCA indices and to construct confidence bands for assessing their variability. In the application, we com-pute accessibility-to-veterinarian indices, and assess whether the spatial con-figuration of clinics and farms complies with a threshold recommended by the authorities.

Suggested Citation

  • Berrada, Mehdi & Smida, Zaineb & Thomas-Agnan, Christine, 2026. "Spatial accessibility indices in the framework of point processes. An application to veterinarian shortage," TSE Working Papers 26-1755, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:131866
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    References listed on IDEAS

    as
    1. Shao, Yaxiong & Luo, Wei, 2022. "Supply-demand adjusted two-steps floating catchment area (SDA-2SFCA) model for measuring spatial access to health care," Social Science & Medicine, Elsevier, vol. 296(C).
    2. Florent Bonneu & Christine Thomas-Agnan, 2015. "Measuring and Testing Spatial Mass Concentration with Micro-geographic Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(3), pages 289-316, September.
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    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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