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March 18, 2026BMC Health Services ResearchOpen Access

Spatio-temporal evolution characteristics, challenges and future perspectives of intelligent health eldercare industry development in China: a spatial analysis and policy text mining from 1982 to 2024

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Authors

JWJing WangYLYing LiuGZGe Zhang

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Overview

Analysis of intelligent eldercare development in China reveals spatial trends and policy implications.

Key Points

  • This study examines the spatio-temporal characteristics of the intelligent eldercare industry in China and aims to provide recommendations for its sustainable development.
  • Conducted spatial analysis to assess the evolution of eldercare enterprises from 1982 to 2024.
  • Collected data from TianYanCha and PKULAW Database to analyze enterprise information and policy documents.
  • Established a three-dimensional analytical framework for investigating policy system characteristics.
  • 4689 enterprises and 81 policy documents were analyzed.
  • The number of enterprises shows a consistent upward trend.
  • Enterprise distribution evolved from core-area agglomeration to a multi-core model, focusing on the Northeast-Southwest direction.
  • Densely populated enterprise areas are concentrated in central and eastern regions, with an initial decline in hotspot areas followed by a resurgence.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69ba434a4e9516ffd37a4646https://doi.org/10.1186/s12913-026-14310-x
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