# Research on the path of high-quality development of the smart health and aging care industry driven by digital economy— dynamic QCA analysis based on TOE framework

**Authors:** Xinhua Tan, Xiaobing Shu

PMC · DOI: 10.3389/fpubh.2026.1661333 · Frontiers in Public Health · 2026-03-02

## TL;DR

This study explores how the digital economy drives high-quality development in China's smart health and aging care industry through various pathways and evolutionary patterns.

## Contribution

The study identifies multiple pathways and evolutionary trajectories through which the digital economy influences the smart health and aging care industry's development.

## Key findings

- The digital economy drives high-quality development through five pathways grouped into three classes.
- Low-quality development follows two constrained pathway types.
- Digital technology-driven and dual-core models are dominant, while the digital environment-led model is a turning-point trajectory.

## Abstract

The digital economy has become a important driver for the high-quality development of industry. Exploring its impact on and pathways for enhancing the smart health and aging care industry holds significant practical importance.

Leveraging the theoretical underpinnings of TOE framework and configuration analysis, this research utilizes dynamic Qualitative Comparative Analysis (QCA) to examine provincial-level panel data from China between 2012–2022, investigating how the digital economy’s configuration effects evolve over time.

The digital economy drives the high-quality development of the smart health and aging care industry through five pathways, which can be divided into three classes: digitally technology-driven, dual-core “digital technology–digital environment” driven, and digitally environment-led. Low-quality development patterns follow three pathways, which can be summarized into two types: “digital technology–digital environment” constrained and “digital technology–digital organization–digital environment” multi-dimensional constrained. Multi-period comparative analysis reveals multiple trajectory evolution phenomena in the digital economy’s drive toward high-quality development of the smart health and aging industry. Among these, the digital technology-driven and dual-core “digital technology-digital environment” models represent dominant trajectories, while the digital environment-led model constitutes a turning-point trajectory.

The digital economy drives the high-quality development of the smart health and aging care industry through multiple pathways and evolutionary trajectories, with the three elements—digital technology, digital environment, and digital organization, functioning synergistically. This research provides theoretical references and practical insights for understanding how the digital economy era propels the high-quality development of the smart health and aging care industry.

## Full text

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## Figures

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## References

64 references — full list in the complete paper: https://tomesphere.com/paper/PMC12990852/full.md

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Source: https://tomesphere.com/paper/PMC12990852