AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.6 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese

Innovation-driven effect of the national value chain

Meichen ZHANG1Yuan WANG1Zimeng ZHU1Yuning GAO2( )
Research Institute for Global Value Chains, University of International Business and Economics, Beijing 100029, China
School of Public Policy & Management, Tsinghua University, Beijing 100084, China
Show Author Information

Abstract

Objective

The unified national market is continuously expanding. Against this backdrop, fully activating the innovation spillover effects of national value chain (NVC) participation and accelerating the establishment of a "new development paradigm with domestic circulation being the mainstay and the two circulations reinforcing each other" have become crucial pathways for building an independent and controllable modern industrial system.

Methods

This study utilized embedded multiregional input–output tables and provincial panel data to examine how NVC participation affects regional innovation performance across 30 Chinese provinces from 2007 to 2017. Fixed-effects models and robustness checks were employed to validate hypotheses. The threshold effect of intellectual property protection (IPP) was also examined. The core explanatory variable, NVC participation degree, was calculated using a production decomposition model based on input–output tables. This approach distinguishes between intraprovincial, national, and global value chains, enabling a nuanced assessment of NVC participation. Control variables, including economic development level, informatization level, openness degree, human capital, financial development, marketization, transportation infrastructure, and innovative industrial policies, were incorporated. The explained variable, research and development (R&D) capital stock, was measured using the perpetual inventory method, which accounts for the cumulative effect of R&D investments over time and provides an accurate reflection of innovation capabilities.

Results

NVC participation significantly boosted regional innovation levels. The innovation-promoting effect was more pronounced in western regions and provinces with lower levels of participation in the global value chain. Moreover, an IPP threshold effect was observed: NVC participation yielded substantial innovation gains only when IPP reached a specific level. Stronger IPP reduced imitation risks, incentivized cross-regional knowledge sharing, and created stronger innovation incentives. When IPP was below the threshold, firms tended to prioritize capacity expansion over technological upgrades to protect their knowledge assets.

Conclusions

Deepening NVC collaboration within a unified national market is pivotal for innovation-driven growth. Policy implications include reducing administrative barriers to factor mobility, establishing cross-regional industrial alliances to bridge innovation gaps between eastern and western regions of China, and strengthening IPP frameworks to encourage NVC-driven innovation. These findings provide actionable insights for fostering dual-cycle synergies and achieving high-quality technological autonomy in China.

CLC number: F124.4 Document code: A Article ID: 1000-0054(2026)08-1523-11

References

【1】
【1】
 
 
Journal of Tsinghua University (Science and Technology)
Pages 1523-1533

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
ZHANG M, WANG Y, ZHU Z, et al. Innovation-driven effect of the national value chain. Journal of Tsinghua University (Science and Technology), 2026, 66(8): 1523-1533. https://doi.org/10.16511/j.cnki.qhdxxb.2026.27.032

2

Views

0

Downloads

0

Crossref

0

Scopus

0

CSCD

Received: 07 August 2025
Published: 31 August 2026
© Journal of Tsinghua University (Science and Technology). All rights reserved.