Evidence map›Paper›PMID 40279357›Full record

ArticlePloS one2025

Climate change, geography and trade agreements: A perspective of Asian bilateral trade.

Qianxu Liang, Lin Shao, Zahid Hussain, Yufang Chao, Haiying Liu, Chaonan Wang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Qianxu LiangDepartment of Economics and Management, Qilu University of Technology (Shandong Academy of Sciences), Jinan, PR China.
Lin ShaoDepartment of Economics and Management, Qilu University of Technology (Shandong Academy of Sciences), Jinan, PR China.
Zahid HussainBusiness School, Faculty of Economics, Liaoning University, Shenyang, P.R. China.ORCID 0000-0003-2982-1139
Yufang ChaoDepartment of Economics and Management, Qilu University of Technology (Shandong Academy of Sciences), Jinan, PR China.
Haiying LiuDepartment of Economics and Management, Qilu University of Technology (Shandong Academy of Sciences), Jinan, PR China.
Chaonan WangDepartment of Economics and Management, Qilu University of Technology (Shandong Academy of Sciences), Jinan, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the simultaneous effects of geographic factors, trade agreements, and climate change on bilateral exports in Asian countries. We estimate the correlation with bilateral exports by utilizing a panel data set from 2000 to 2020, employing various econometric techniques, particularly the structural gravity model. Therefore, this study aims to examine the simultaneous or complementary impact of influencing factors on exports and link them with the gross domestic product. Findings demonstrate that geographic factors are crucial for determining bilateral exports in terms of increasing trends. Furthermore, geography plays a crucial role in enhancing the magnitude and probability of bilateral exports between trading partner countries. Moreover, bilateral exports have declined because of the simultaneous impact of geographic factors, climate change, and economic size. Thus, geographic factors and economic size affect marginal exports to varying degrees. This study suggests that the simultaneous increase in economic size, trade agreements, and geographic factors can enhance the bilateral export level and its probability at an above-average rate between trading partner countries.

Indexed as

Climate ChangeCommerceInternational CooperationAsiaGeographyGross Domestic ProductHumans

Identifiers

PMID40279357
PMCPMC12027022

What OpenQuestion holds

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Registered trials

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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.