Evidence map›Paper›PMID 42443897›Full record

ArticleCost effectiveness and resource allocation : C/E2026

Unintended consequences of National centralized volume-based drug procurement policy in China: a game theory-based analytical approach for pharmaceutical quality and pricing.

Siyu Zhang, Jiaxue Li, Siming Li, Jun Li, Linjing Zhang, Rui Wang, Changsheng Chen, Liang Zhu

Abstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2026. 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.

Siyu Zhang *Department of Health Service Management and Medical Education, School of Public Health, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710032, China.
Jiaxue Li *Department of Health Service Management and Medical Education, School of Public Health, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710032, China.
Siming Li *School of Economics and Management, Zhejiang Ocean University, Zhoushan, Zhe Jiang Province, 316022, China.
Jun Li *Department of Burns and Cutaneous Surgery, The First Affiliated Hospital of Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
Linjing ZhangThe Xijing 986 Hospital of Fourth Military Medical University, Xi'an, Shaanxi Province, 710054, China.
Rui WangTeaching and Research Support Center, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710032, China.
Changsheng ChenDepartment of Health Statistics, School of Public Health, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710032, China. changshengc@yeah.net.
Liang ZhuDepartment of Health Service Management and Medical Education, School of Public Health, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710032, China. Liangjulia0317@163.com.

Funding

National Natural Science Foundation of China 72474221
6 · The paper itself

Abstract

backgroundThe pharmaceutical industry plays a pivotal role in the healthcare economy, with drug quality and pricing being critical to consumer welfare. China's government has implemented National centralized volume-based drug procurement(NVBP) policy, aiming to reduce medication costs through bulk purchasing. While existing research confirms its price-reduction effects, unintended consequences regarding pharmaceutical quality incentives remain overlooked. This study investigates how the NVBP policy reshapes firms' quality-pricing strategies, addressing a critical gap in policy evaluation.

methodsGame-theoretical model is constructed to simulate interactions between two pharmaceutical firms with distinct technological capabilities before and after China's National volume-based procurement (NVBP) policy. Prior to the policy, the Hotelling model's spatial competition is reinterpreted as a quality-preference spectrum After the policy, drugs are standardized through consistency evaluation, and competition reduces to pure price competition as in the Bertrand model. Then a double-envelope bidding game is introduced where the government sets a minimum quality standard and firms bid on price. After winning the bid, firms need to decide the production strategy.

resultsBefore NVBP policy implementation, equal-quality price differences depend solely on technical parameters. Under endogenous quality, a firm's quality rises with its own technology; the technologically superior firm charges a higher price, but a weaker firm facing a superior rival lowers its price. After NVBP policy implementation, during the bidding time, if both firms pass consistency evaluation, the winning bid price falls, but quality may drop below pre-NVBP levels. If the low-tech firm fails, the high-tech firm gains monopoly pricing power and raises prices. During the production time, some unintended consequences may occur, such as quality risk and supply disruption risk.

conclusionsThe implementation of NVBP policy could lower drug prices and improve access, but it may also generate unintended consequences. Low standards induce price competition and reduce quality investment, while high standards may create sole-supplier monopoly. Excessively low bids pose quality or supply risks. Policy should calibrate standards, use tiered incentives, and strengthen surveillance, but empirical validation remains needed.

Indexed as

Drug quality standardsNational centralized volume-based drug procurement policyPharmaceutical marketPricing strategies

Identifiers

PMID42443897
PMCPMC13422347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.