Evidence map›Paper›PMID 42841125›Full record

ArticleRoyal Society open science2026

Artificial intelligence cooperation and domestic absorptive capacity: evidence from ASEAN economies.

Quanjun Zhang, Jian Chen, Yang Zhao

Abstract read
In one paragraph

Article in Royal Society open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Quanjun ZhangChina-ASEAN School of Economics, Guangxi University, Nanning, People's Republic of China.ORCID https://orcid.org/0000-0001-6655-598X
Jian ChenDepartment of Geography, University College London, London, UK.ORCID https://orcid.org/0000-0002-1220-7266
Yang ZhaoSchool of Law, Southwest University of Science and Technology, Mianyang, Sichuan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-border artificial intelligence (AI) cooperation is expanding, but evidence on its effect on domestic technological capability in recipient economies is scarce. Drawing on absorptive capacity theory, we create a composite AI absorptive capacity index for 10 Association of Southeast Asian Nations (ASEAN) economies, encompassing innovation foundations, application foundations and industrial support. We measure bilateral AI cooperation intensity via co-publications, co-patents and investment linkages. Using a 2015-2025 bilateral panel with fixed-effects and three-way fixed-effects models, we find a positive association between cooperation intensity and absorptive capacity, robust across all three index dimensions and to sample restrictions and winsorization. Heterogeneity analysis shows that China-related cooperation offers no general premium. A more favourable link emerges only in economies with weaker initial industrial foundations, and it is fragile under stricter sample restrictions. The findings imply that the developmental value of AI cooperation hinges not on cooperation volume but on embedding external knowledge into domestic learning, application and industrial adaptation systems.

Indexed as

absorptive capacityASEANbilateral AI cooperationtechnology diffusion

Identifiers

PMID42841125
PMCPMC13641886

What OpenQuestion holds

Textmetadata
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.