Evidence map›Paper›PMID 38106910›Full record

ArticleFrontiers in public health2023

Has the consistency evaluation policy of generic drugs promoted the innovation quality of Chinese pharmaceutical manufacturing industry? An empirical study based on the difference-in-differences model.

Qiang Liu, Zhe Huang, Zhenbin Mao

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

3 authors.

Qiang LiuSchool of Business Administration, Shenyang Pharmaceutical University, Shenyang, China.
Zhe HuangSchool of Business Administration, Shenyang Pharmaceutical University, Shenyang, China.
Zhenbin MaoSchool of Business Administration, Shenyang Pharmaceutical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In March 2016, the Chinese government officially launched a nationwide consistency evaluation of the quality and efficacy of generic drugs. Methods: This paper conducted an empirical study using the Difference-in-Differences method to explore the effect of this policy on the innovation quality of China's pharmaceutical manufacturing industry and further analyzed the underlying mechanism of action. Results: The results of the study show that the generic consistency evaluation policy has a significant promotion effect on the innovation quality of China's pharmaceutical manufacturing industry, and the promotion effect is the largest for non-state-owned enterprises and enterprises in the central region; in addition, the intensity of R&D capital investment and R&D personnel investment which play a mediating role. Discussion: Therefore, we should fully recognize the positive effect of generic drug consistency evaluation policy on improving the innovation quality of the pharmaceutical manufacturing industry and pay attention to the necessity of regional coordination and unification in policy implementation and the formulation of supporting policy tools. This study provides empirical evidence for the implementation effect of the generic drug consistency evaluation policy, which can provide an essential reference for the further improvement of the procedure and the R&D decision-making of pharmaceutical enterprises.

Indexed as

Drugs, GenericInventionsChinaDrug IndustryManufacturing IndustryPublic PolicyDrugs, Genericconsistent evaluation policy of generic drugsdifference-in-differences modelinnovation qualitymediating effectpharmaceutical manufacturing industry

Identifiers

PMID38106910
PMCPMC10722264

What OpenQuestion holds

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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.