Evidence map›Paper›PMID 41408293›Full record

ArticleCost effectiveness and resource allocation : C/E2025

Measurement, spatiotemporal evolution, and obstacle factor diagnosis of new quality productive forces in China's leading TCM manufacturing enterprises.

Li Zhiguang, Yang Yu, Shao Jingyu, Chen Yushan, Xie Ruijin

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Article in Cost effectiveness and resource allocation : C/E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Li ZhiguangSchool of Economics and Management, Anhui University of Chinese Medicine, Hefei, Anhui, 230012, China.
Yang YuSchool of Economics and Management, Anhui University of Chinese Medicine, Hefei, Anhui, 230012, China.
Shao JingyuSchool of Economics and Management, Anhui University of Chinese Medicine, Hefei, Anhui, 230012, China.
Chen YushanSchool of Economics and Management, Anhui University of Chinese Medicine, Hefei, Anhui, 230012, China.
Xie RuijinSchool of Economics and Management, Anhui University of Chinese Medicine, Hefei, Anhui, 230012, China. xierj@ahtcm.edu.cn.

Funding

Anhui Provincial Philosophy and Social Science Foundation AHSKY2024D107Quality Engineering Project of the Anhui Provincial Department of Education 2023xjzlts028; 2024zyxwjxalk115Research Initiation Funding of Anhui University of Chinese Medicine 2024rcyb06Social Science Foundation of Anhui Provincial Education Department 2023AH030071
6 · The paper itself

Abstract

backgroundBased on unbalanced panel data from 75 listed traditional Chinese medicine (TCM) enterprises during the period 2015–2023, this study constructs an evaluation index system to assess the development of new quality productive forces among TCM leading enterprises.

methodsThe entropy method is employed to measure the development level of new quality productive forces of these China’s leading TCM manufacturing enterprises. Furthermore, Kernel density estimation and the Dagum Gini coefficient are applied to analyze the spatiotemporal evolution and regional disparities. In addition, the study utilizes an obstacle factor identification model to pinpoint the key constraints affecting the development of new quality productive forces in TCM leading enterprises.

resultsThe results reveal an overall upward trend in the development level of new quality productive forces. Regionally, the performance follows the pattern: Central China > Eastern China > Western China, indicating some regional disparities, though the overall gap remains relatively stable. The obstacle analysis indicates that, at the criterion level, the ranking of obstacle degrees is: means of labor > laborers > objects of labor. Technological drive, digital application, and environmental ratings emerge as the main influencing factors in the development of new quality productive forces in China’s TCM leading enterprises.

conclusionNew quality productive forces show an upward development trend, with regional disparities persisting but the overall gap remaining stable. The main obstacles lie in means of labor, laborers, and objects of labor in sequence. Technological drive, digital application, and environmental ratings are crucial influencing factors for TCM leading enterprises.

Indexed as

Chain-leading enterprisesNew quality productive forcesProductivitySpatiotemporal evolutionTCM manufacturing industryTCM ModernizationTechnological progressTraditional Chinese medicine

Identifiers

PMID41408293
PMCPMC12822053

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.