Limiting heterogeneity in cross-border data flow: Impact on domestic value chains stability and the role of innovation

Amidst growing skepticism towards globalization and rising digital trade, this study investigates the impact of Restrictions on Cross-Border Data Flows (RCDF) on Domestic Value Chains (DVCs) stability. As global value chains participation declines, the stability of DVCs-integral to internal economic dynamics-becomes crucial. This study situates within a framework exploring the role of innovation and RCDF in the increasingly interconnected global trade. Using a panel data fixed effect model, our analysis provides insights into the varying effects of RCDF on DVCs stability across countries with diverse economic structures and technological advancement levels. This approach allows for a nuanced understanding of the interplay between digital trade policies, value chain stability, and innovation. RCDF tend to disrupt DVCs by negatively impacting innovation, which necessitates proactive policy measures to mitigate these effects. In contrast, low-income countries experience a less detrimental impact; RCDF may even aid in integrating their DVCs into Global Value Chains, enhancing economic stability. It underscores the need for dynamic, adaptable policies and global collaboration to harmonize digital trade standards, thus offering guidance for policy-making in the context of an interconnected global economy.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2024-08-19
DOI
https://doi.org/10.1371/journal.pone.0308716
Citations
3
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
2.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Limiting heterogeneity in cross-border data flow: Impact on domestic value chains stability and the role of innovation

Jing Cheng, Rui Jiang, Jingjing Dai, Yang Liu et al.
3 citations
PLoS ONE
Global trade and economics
2.49
article

Limiting heterogeneity in cross-border data flow: Impact on domestic value chains stability and the role of innovation

Jing Cheng, Rui Jiang, Jingjing Dai, Yang Liu, Yuan Zhang
article en
3 citations

Abstract

Amidst growing skepticism towards globalization and rising digital trade, this study investigates the impact of Restrictions on Cross-Border Data Flows (RCDF) on Domestic Value Chains (DVCs) stability. As global value chains participation declines, the stability of DVCs-integral to internal economic dynamics-becomes crucial. This study situates within a framework exploring the role of innovation and RCDF in the increasingly interconnected global trade. Using a panel data fixed effect model, our analysis provides insights into the varying effects of RCDF on DVCs stability across countries with diverse economic structures and technological advancement levels. This approach allows for a nuanced understanding of the interplay between digital trade policies, value chain stability, and innovation. RCDF tend to disrupt DVCs by negatively impacting innovation, which necessitates proactive policy measures to mitigate these effects. In contrast, low-income countries experience a less detrimental impact; RCDF may even aid in integrating their DVCs into Global Value Chains, enhancing economic stability. It underscores the need for dynamic, adaptable policies and global collaboration to harmonize digital trade standards, thus offering guidance for policy-making in the context of an interconnected global economy.

PLoS ONEVol. 19(8)
Kunming University (CN), Yunnan Agricultural University (CN)
National Natural Science Foundation of China, Yunnan Provincial Department of Education
Openalex Percentile: Top 10%
Global trade and economics
2.49
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.

Limiting heterogeneity in cross-border data flow: Impact on domestic value chains stability and the role of innovation — Jing Cheng, Rui Jiang, et al. · PLoS ONE (2024) | TGRS Research Map | TGRS