《中国康复理论与实践》 ›› 2026, Vol. 32 ›› Issue (9): 1087-1099.doi: 10.3969/j.issn.1006-9771.2026.09.011

• 辅助技术 • 上一篇    下一篇

我国康复辅助器具产业发展政策量化研究与启示:基于“目标-工具-力度”的三维框架

高嘉敏1a, 付禛婧1b, 王睦雄2, 蒋夏青1a, 刘志红3, 张红涛3()   

  1. 1 北京师范大学, a. 社会学院;b. 政府管理学院, 北京市 100875
    2 广东省残疾人文化体育与康复辅具中心, 广东广州市 511430
    3 中国残疾人辅助器具中心, 北京市 100050
  • 收稿日期:2026-05-19 修回日期:2026-07-01 接受日期:2026-07-08 出版日期:2026-09-25 发布日期:2026-09-20
  • 通讯作者: 张红涛(1979-),男,汉族,河北保定市人,高级工程师,主要研究方向:辅助技术、辅助器具服务与质量监督、标准化、残疾人政策、辅助器具产业政策及产业促进等相关领域研究。E-mail: zhanghongtao@cadtc.org.cn
  • 作者简介:高嘉敏(1989-),女,汉族,广东广州市人,博士,副教授、博士研究生导师,主要研究方向:人口学、健康社会学,“一老一小”和特殊需求人群的健康、服务与社会保障,残疾预防与康复。
  • 基金资助:
    国家重点研发计划项目(2023YFC3604100);中国残联课题残疾人辅助器具专项(2022CDPFAT-26)

A quantitative analysis of development policies for China's assistive technology industry: insights based on the "objective-instrument-intensity" framework

Gao Jiamin1a, Fu Zhenjing1b, Wang Muxiong2, Jiang Xiaqing1a, Liu Zhihong3, Zhang Hongtao3()   

  1. 1 a. School of Sociology, b. School of Government, Beijing Normal University, Beijing 100875, China
    2 Guangdong Provincial Cultural Sports and Rehabilitation Assistive Devices Center for People with Disabilities, Guangzhou, Guangdong 511430, China
    3 China Assistive Devices and Technology Center for Persons with Disabilities, Beijing 100050, China
  • Received:2026-05-19 Revised:2026-07-01 Accepted:2026-07-08 Published:2026-09-25 Online:2026-09-20
  • Contact: Zhang Hongtao, E-mail: zhanghongtao@cadtc.org.cn
  • Supported by:
    National Key R&D Program of China(2023YFC3604100);Research Project of the China Disabled Persons' Federation on Assistive Technology(2022CDPFAT-26)

摘要:

目的 量化分析和评价我国康复辅助器具产业政策内容。

方法 基于政策“目标-工具-力度”三维框架,以2011年至2024年国家层面出台的101项康复辅助器具产业政策为研究对象,运用政策文本内容分析法评价政策目标、政策工具与政策力度之间的匹配和协调程度。采用政策建模一致性(PMC)指数模型指标设计方法,构建由9个一级指标和35个二级指标组成的康复辅助器具产业政策评价指标体系,对6项核心政策进行量化评价和分析。

结果 政策目标以促进产业格局优化为主,兼顾鼓励产业发展的支持性环境建设和增强产业发展创新能力。政策工具侧重使用供给型和环境型工具,辅以需求型工具,旨在增强产业的技术基础和竞争力,引导行业规范化发展,推动产业的整体发展和升级。在目标与工具匹配方面,各项目标皆匹配多元工具且侧重点有所不同;在目标与力度匹配方面,政策重点关注提高康复辅助器具适配率,满足不同群体康复需求;在工具与力度匹配方面,供给型工具运用频次多且效力高,政府大力支持优化生产要素配置以提升市场主体能力。PMC指数均值为6.45,政策文本质量较好,政策内部一致性较高,政策设计指向性明确。政策评价和政策工具维度的PMC指数平均值较高,部分政策的目标较为单一。

结论 我国康复辅助器具产业政策文本总体质量较好,政策制定中仍需重视产业自主创新能力,优化政策工具结构,提高工具与目标匹配度。

关键词: 辅助器具, 政策文本分析, 政策目标, 政策工具, 政策力度, 政策建模一致性指数

Abstract:

Objective To quantitatively analyze and evaluate the content of China's assistive technology industry policies.

Methods Based on the three-dimensional framework of policy "objectives-instruments-intensity", this study examined 101 national-level assistive technology industry policies issued between 2011 and 2024. Policy text analysis was conducted to assess the matching and coordination among policy objectives, policy instruments and policy intensity. Furthermore, the policy modeling consistency (PMC) index model was applied to establish an evaluation system consisting of nine primary indicators and 35 secondary indicators, and six key policies were quantitatively evaluated.

Results The policy objectives mainly focused on optimizing the industrial development structure, also emphasized supportive environments for industrial development and the enhancement of innovation capacity. Policy instruments were dominated by supply-oriented and environment-oriented instruments, supplemented by demand-oriented instruments, aiming to strengthen technological foundations and competitiveness, promote standardized development, and facilitate industrial development and upgrading. Regarding the matching between policy objectives and instruments, multiple instruments were adopted to support different objectives, with different priorities. In terms of the matching between policy objectives and policy intensity, policies mainly emphasized improving the accessibility of assistive technology products and meeting the rehabilitation needs of different populations. Regarding the matching between policy instruments and policy intensity, supply-oriented instruments were more frequently adopted and showed higher policy intensity, indicating strong governmental efforts to optimize production factor allocation and enhance the capacity of market entities. The average PMC index score was 6.45, indicating relatively high policy quality, strong internal consistency, stable policy orientation, and clear objectives. The PMC scores for policy evaluation and policy instrument dimensions were relatively high, while some policies showed relatively narrow objectives.

Conclusion China's assistive technology industry policies demonstrate relatively high quality. Future policy development should further strengthen industrial innovation capacity, optimize the structure of policy instruments, and improve the alignment between policy objectives and instruments.

Key words: assistive technology, policy text analysis, policy objective, policy instrument, policy intensity, policy modeling consistency index

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