Evidence map›Paper›PMID 40632729›Full record

ArticlePloS one2025

Factors associated with the export of traditional Chinese medicinal products: A stochastic frontier analysis.

Ying Chen, Shuduo Zhou, Zhongfei Pei, Weili Zhao, Jian Yang, Yunxuan Hu, Xiangning Feng, Ming Xu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ying ChenDepartment of Global Health, School of Public Health, Peking University, Haidian District, 38 Xue Yuan Road, Beijing, China.ORCID https://orcid.org/0000-0001-6334-3113
Shuduo ZhouDepartment of Global Health, School of Public Health, Peking University, Haidian District, 38 Xue Yuan Road, Beijing, China.
Zhongfei PeiDepartment of Global Health, School of Public Health, Peking University, Haidian District, 38 Xue Yuan Road, Beijing, China.
Weili ZhaoDepartment of Global Health, School of Public Health, Peking University, Haidian District, 38 Xue Yuan Road, Beijing, China.
Jian YangDepartment of Global Health, School of Public Health, Peking University, Haidian District, 38 Xue Yuan Road, Beijing, China.
Yunxuan HuDepartment of Global Health, School of Public Health, Peking University, Haidian District, 38 Xue Yuan Road, Beijing, China.
Xiangning FengDepartment of Global Health, School of Public Health, Peking University, Haidian District, 38 Xue Yuan Road, Beijing, China.
Ming XuDepartment of Global Health, School of Public Health, Peking University, Haidian District, 38 Xue Yuan Road, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe export of traditional Chinese medicinal products is a pivotal force in enhancing the international recognition of Traditional Chinese Medicine (TCM). From 2013 to 2022, the export trend of traditional Chinese medicinal products demonstrated stable and rapid growth. However, the export structure remained suboptimal, with raw material-based products accounting for a significantly larger proportion than high value-added products. This imbalance has hindered the enhancement of traditional Chinese medicinal value and the potential for branding in the global market. Therefore, an in-depth study of the current status and associated factors of the export is essential to optimize the export structure, adjust export policies, and promote the international trade.

methodsWe employed joinpoint regression analysis to examine the export value trend of traditional Chinese medicinal products from 2013 to 2022. Subsequently, we utilized stochastic frontier analysis and trade inefficiency analysis to investigate the factors associated with the export value across 182 countries and regions from 2020 to 2022. The export value data was sourced from the China Chamber of Commerce for Import and Export of Medicines and Health Products. The associated factors were sourced from publicly available databases.

resultsJoinpoint regression analysis showed the Annual Average Percent Change (AAPC) of the export value of traditional Chinese medicinal products from 2013 to 2022 was 6.9211 (95% Confidence Interval [CI] 5.9176 to 7.9341). Among them, raw material-based products included Chinese medicinal materials and herbal decoction pieces, as well as plant extracts, with AAPC being 1.7822 (95%CI -3.4203 to 7.2649), and 10.0290 (95%CI 3.5599 to 16.9023), respectively. They comprised over 80% of total exports. High value-added products included Chinese patent medicines and TCM health products, with AAPC being 3.6420 (95%CI -0.7595 to 8.2387) and 17.0895 (95%CI 4.7468 to 30.8865), respectively. They constituted a relatively minor share of total exports. Stochastic frontier analysis showed the coefficient (t-ratio) of factors associated with the export, including China's GDP at 0.0772 (9.3276), the GDP of the export country or region at 0.1240 (3.9521), the capital distance between the export country or region and China at -0.3059 (-8.2793), the population of the export country or region at 0.0329 (3.4657), having a common border with China at -0.3179 (-4.3428), having a common language with China at 1.3316 (13.3217), being a landlocked country or region at -0.3531 (-9.3519). Trade inefficiency analysis showed the coefficient (t-ratio) of associated factors, including having a trade agreement with China at -7.1587 (-38.7960), pharmaceutical products tariffs at 0.2930 (7.7920), cultural distance from China at 0.5995 (7.1274), the overseas registration status of Chinese patent medicines at 2.3608 (13.6945), and the presence of TCM institutions at 6.1643 (16.1009).

conclusionsThe export value of traditional Chinese medicinal products from 2013 to 2022 showed an overall upward trend. However, the export structure remained suboptimal. Stochastic frontier analysis and trade inefficiency analysis revealed the relevance of associated factors to the export value. Based on the above results, we recommend six measures to optimize the export structure and enhance the international recognition of traditional Chinese medicinal products.

Indexed as

CommerceDrugs, Chinese HerbalMedicine, Chinese TraditionalChinaHumansRegression AnalysisStochastic ProcessesDrugs, Chinese Herbal

Identifiers

PMID40632729
PMCPMC12240354

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.