Evidence map›Paper›PMID 34831803›Full record

ArticleInternational journal of environmental research and public health2021

Will the Volume-Based Procurement Policy Promote Pharmaceutical Firms' R&D Investment in China? An Event Study Approach.

Yuanyuan Hu, Shouming Chen, Fangjun Qiu, Peien Chen, Shaoxiong Chen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

5 authors.

Yuanyuan HuSchool of Economics and Management, Tongji University, Shanghai 200092, China.
Shouming ChenSchool of Economics and Management, Tongji University, Shanghai 200092, China.ORCID 0000-0003-2050-7565
Fangjun QiuSchool of Economics and Management, Tongji University, Shanghai 200092, China.
Peien ChenEli Broad College of Business, Michigan State University, East Lansing, MI 48824, USA.
Shaoxiong ChenShanghai Biopharmaceutics Industry Association, Shanghai 201203, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovation is the key to the development of the pharmaceutical industry. The pilot program of China's "4 + 7" volume-based procurement policy ("4 + 7" procurement policy) brings the drug price back to a reasonable level through trading procurement quantities for lower drug prices. The policy manages to reduce the burden of the health care system, improve efficiency, and push the pharmaceutical industry to transform and update from the era of high gross profit of generic drugs to innovative drugs. So far, few studies have investigated the influence of the volume-based procurement policy on the innovation of pharmaceutical firms. By combining the event study and Difference-in-Difference (DiD) methodology, this study finds that the abnormal return (AR) of firms with high R&D intensity is lower than that of firms with low R&D intensity during the event window period. Moreover, further analysis identifies the moderating effect of firm size and firm type. Specifically, the results show that the negative influence of high R&D intensity on abnormal return (AR) during the announcement of the "4 + 7" procurement policy is stronger in large firms and innovative pharmaceutical firms. Finally, we discuss the policy implications of our study.

Indexed as

InvestmentsPharmaceutical PreparationsChinaDrug IndustryPolicyPharmaceutical Preparations“4 + 7” volume-based procurement policyDiDevent studyfirm valueinnovationpharmaceutical firmsR&D intensity

Identifiers

PMID34831803
PMCPMC8623542

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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.