Policy text analysis on inheritance and innovation of Mongolian medicine culture in China

Objective: To analyze the focuses and shortcomings of policies for the inheritance of and innovations in traditional Chinese medicine (Mongolian medicine) culture in China and to provide a reference for the subsequent optimization of relevant policies. Methods: The classification method of policy tools proposed by Rothwell and Zegveld was adopted. The policy objective dimensions were integrated, Nvivo15 software was used to conduct a coding analysis of 30 policy texts in the field of the inheritance of and innovations in traditional Chinese medicinal (Mongolian medicinal) culture from 2016-2024, and a two-dimensional analysis framework was constructed on the basis of policy tools and objectives. Results: In the X dimension (policy tools), supply-type policy tools accounted for the greatest proportion (40.92%), followed by the environment type (39.28%), and the demand type accounted for the least (19.80%). In the Y dimension (policy objectives), the construction of talent teams accounted for the greatest proportion (25.63%). Relatively fewer policy tools were available regarding the collation of ancient medical books and theoretical innovation research (6.88%) and standardization projects (6.25%). Conclusion: The configuration of policy instruments is structurally imbalanced, showing a "supply-prioritized and demand-neglected" pattern, with insufficient support for basic policy objectives (e.g., financial support, standardization projects). Implementation Suggestions A phased framework with explicit time nodes and prioritized steps is proposed for policymakers: [1] Short-term horizon (1-2 years): Filling supply-side gaps by increasing financial support to 8-10% (focusing on Mongolian medicine ancient document collation and digital platforms) and launch demand-side pilots (e.g., integrating into regional medical insurance, establishing 2-3 inheritance demonstration bases). [2] Medium-term (3-5 years): Optimize supply-side structure, raise demand-side instrument proportion to 25-30%, and promote the standardization of Mongolian medicine hospital preparations. [3] Long-term (more than 5 years): Establish a dynamic matching matrix between policy instruments and objectives, conduct annual evaluations, and improve multi-departmental collaboration. Prioritized steps: supplement financial gaps → launch demand-side pilots → optimize supply structure and promote standardization → establish long-term adjustment mechanisms. These measures aim to maximize policy effectiveness and promote the sustainable inheritance and innovation of Mongolian medicine culture.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2026-04-21
DOI
https://doi.org/10.3389/fpubh.2026.1814485
Primary Topic
Traditional Chinese Medicine Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Policy text analysis on inheritance and innovation of Mongolian medicine culture in China

Shenzhen Liu, Zili Yang, Alun, Min Li
Frontiers in Public Health
Traditional Chinese Medicine Studies
article

Policy text analysis on inheritance and innovation of Mongolian medicine culture in China

Shenzhen Liu, Zili Yang, Alun, Min Li
article en

Abstract

Objective: To analyze the focuses and shortcomings of policies for the inheritance of and innovations in traditional Chinese medicine (Mongolian medicine) culture in China and to provide a reference for the subsequent optimization of relevant policies. Methods: The classification method of policy tools proposed by Rothwell and Zegveld was adopted. The policy objective dimensions were integrated, Nvivo15 software was used to conduct a coding analysis of 30 policy texts in the field of the inheritance of and innovations in traditional Chinese medicinal (Mongolian medicinal) culture from 2016-2024, and a two-dimensional analysis framework was constructed on the basis of policy tools and objectives. Results: In the X dimension (policy tools), supply-type policy tools accounted for the greatest proportion (40.92%), followed by the environment type (39.28%), and the demand type accounted for the least (19.80%). In the Y dimension (policy objectives), the construction of talent teams accounted for the greatest proportion (25.63%). Relatively fewer policy tools were available regarding the collation of ancient medical books and theoretical innovation research (6.88%) and standardization projects (6.25%). Conclusion: The configuration of policy instruments is structurally imbalanced, showing a "supply-prioritized and demand-neglected" pattern, with insufficient support for basic policy objectives (e.g., financial support, standardization projects). Implementation Suggestions A phased framework with explicit time nodes and prioritized steps is proposed for policymakers: [1] Short-term horizon (1-2 years): Filling supply-side gaps by increasing financial support to 8-10% (focusing on Mongolian medicine ancient document collation and digital platforms) and launch demand-side pilots (e.g., integrating into regional medical insurance, establishing 2-3 inheritance demonstration bases). [2] Medium-term (3-5 years): Optimize supply-side structure, raise demand-side instrument proportion to 25-30%, and promote the standardization of Mongolian medicine hospital preparations. [3] Long-term (more than 5 years): Establish a dynamic matching matrix between policy instruments and objectives, conduct annual evaluations, and improve multi-departmental collaboration. Prioritized steps: supplement financial gaps → launch demand-side pilots → optimize supply structure and promote standardization → establish long-term adjustment mechanisms. These measures aim to maximize policy effectiveness and promote the sustainable inheritance and innovation of Mongolian medicine culture.

Frontiers in Public HealthVol. 14
Inner Mongolia Medical University (CN)
Inner Mongolia Medical University, Natural Science Foundation of Inner Mongolia
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Traditional Chinese Medicine Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.