The impact of the 2019 revision of China’s drug administration law on the innovative output of pharmaceutical and biotechnology enterprises—a quasi-natural experimental study using sharp regression discontinuity design

Introduction: The "Drug Administration Law of the People's Republic of China" has a profound impact on the innovation of pharmaceutical companies. Methods: This study analyzes Chinese pharmaceutical and biotechnology companies from 2014 to 2023 and employs a sharp regression discontinuity design (RDD) based on the 2019 revision of the Drug Administration Law to examine changes in innovation output before and after the policy, while exploring impact mechanisms from external conditions (financing constraints) and internal factors (human capital structure), with further heterogeneity analysis by firm size, region, and ownership. Results: The results show that the implementation of the 2019 revised Drug Administration Law significantly increased the number of patent applications by pharmaceutical and biotechnology enterprises, thereby promoting innovation output. Further analysis finds that the policy promotes corporate innovation through two pathways: easing financing constraints and facilitating adjustments in human capital structure. Discussion: This study provides empirical evidence on the effectiveness of the policy, offering insights for future legislation and suggesting pathways to enhance innovation capacity in the context of ongoing healthcare reform in China.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2026-04-01
DOI
https://doi.org/10.3389/fmed.2026.1592775
Primary Topic
Pharmaceutical Economics and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of the 2019 revision of China’s drug administration law on the innovative output of pharmaceutical and biotechnology enterprises—a quasi-natural experimental study using sharp regression discontinuity design

Y.L. Chen, L. Meng, Yanan Zhu, Yongfei Liu
Frontiers in Medicine
Pharmaceutical Economics and Policy
article

The impact of the 2019 revision of China’s drug administration law on the innovative output of pharmaceutical and biotechnology enterprises—a quasi-natural experimental study using sharp regression discontinuity design

Y.L. Chen, L. Meng, Yanan Zhu, Yongfei Liu
article en

Abstract

Introduction: The "Drug Administration Law of the People's Republic of China" has a profound impact on the innovation of pharmaceutical companies. Methods: This study analyzes Chinese pharmaceutical and biotechnology companies from 2014 to 2023 and employs a sharp regression discontinuity design (RDD) based on the 2019 revision of the Drug Administration Law to examine changes in innovation output before and after the policy, while exploring impact mechanisms from external conditions (financing constraints) and internal factors (human capital structure), with further heterogeneity analysis by firm size, region, and ownership. Results: The results show that the implementation of the 2019 revised Drug Administration Law significantly increased the number of patent applications by pharmaceutical and biotechnology enterprises, thereby promoting innovation output. Further analysis finds that the policy promotes corporate innovation through two pathways: easing financing constraints and facilitating adjustments in human capital structure. Discussion: This study provides empirical evidence on the effectiveness of the policy, offering insights for future legislation and suggesting pathways to enhance innovation capacity in the context of ongoing healthcare reform in China.

Frontiers in MedicineVol. 13
Shenyang Pharmaceutical University (CN), Centre for Innovation in Regulatory Science (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Pharmaceutical Economics and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.