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Spatial modeling of factors influencing outpatient healthcare accessibility at the municipal level: An empirical analysis (case study of Sverdlovsk oblast)

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Listed:
  • Svetlana Begicheva

    (Ural State University of Economics, Ekaterinburg, Russian Federation)

  • Antonina Begicheva

    (HSE University, Moscow, Russian Federation)

Abstract

The article examines the factors of spatial accessibility of outpatient healthcare at the municipal level. The study is based on data from 65 municipalities of Sverdlovsk Region for the year 2021. A modified gravity-based accessibility index was applied, accounting for the distribution of medical personnel and the transport connectivity of territories. The impact of explanatory factors was assessed using the Spatial Durbin Model (SDM), while local disparities were identified through LISA analysis. The results confirmed the significant impact of institutional and economic factors on the accessibility of medical services, with this influence manifesting both directly and through mechanisms of resource redistribution between territories. A negative spatial lag coefficient (ρ = –0.49, p

Suggested Citation

  • Svetlana Begicheva & Antonina Begicheva, 2026. "Spatial modeling of factors influencing outpatient healthcare accessibility at the municipal level: An empirical analysis (case study of Sverdlovsk oblast)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 81, pages 117-139.
  • Handle: RePEc:ris:apltrx:022384
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    References listed on IDEAS

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    1. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    2. Xintao Liu & Ziwei Lin & Jianwei Huang & He Gao & Wenzhong Shi, 2021. "Evaluating the Inequality of Medical Service Accessibility Using Smart Card Data," IJERPH, MDPI, vol. 18(5), pages 1-18, March.
    3. Xueqian Song & Yongping Wei & Wei Deng & Shaoyao Zhang & Peng Zhou & Ying Liu & Jiangjun Wan, 2019. "Spatio-Temporal Distribution, Spillover Effects and Influences of China’s Two Levels of Public Healthcare Resources," IJERPH, MDPI, vol. 16(4), pages 1-18, February.
    4. Svetlana V. Begicheva & Elena G. Kalabina & Dmitry M. Nazarov, 2025. "Comparative Analysis of Municipal Healthcare Efficiency Using the DEA Method: The Case of Sverdlovsk Region," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 24(2), pages 491-527.
    5. Liping Fu & Kaibo Xu & Feng Liu & Lu Liang & Zhengmin Wang, 2021. "Regional Disparity and Patients Mobility: Benefits and Spillover Effects of the Spatial Network Structure of the Health Services in China," IJERPH, MDPI, vol. 18(3), pages 1-16, January.
    6. repec:plo:pone00:0168208 is not listed on IDEAS
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