Evidence map›Paper›PMID 41951691›Full record

ArticleScientific reports2026

The impact of improved export quality on urban green total factor productivity.

Li Tian, Risidaxshinni Kumarusamy

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

2 authors.

Li TianCollege of Finance and Trade, Harbin Finance University, Harbin, China. 18088709860@163.com.
Risidaxshinni KumarusamyPutra Business School, Serdang, Selangor, Malaysia.

Funding

2025 Harbin Finance University Institutional Research Project E012025016Provincial Undergraduate Institutions of Harbin Finance University 2024-KYYWF-005
6 · The paper itself

Abstract

Rapid urbanisation has intensified the challenge for cities to balance economic growth with environmental sustainability. This study examines how higher export quality influences urban green total factor productivity (GTFP), using panel data from 120 Chinese cities (2011–2021). Employing a slack-based measure (SBM) model and two-way fixed effects estimations with robustness checks, the results show that a 1% increase in export quality is associated with an approximate 0.03% improvement in GTFP. The effect is linear and robust across alternative specifications. Further analyses reveal that the positive impact of export quality is contingent on complementary factors: green innovation and industrial upgrading provide steady reinforcement, while digital innovation exerts the strongest amplifying effect, and market openness facilitates international spillovers. Heterogeneity tests indicate that large and coastal cities benefit more strongly than inland or smaller cities. These findings contribute to the trade–environment literature by identifying export quality as a distinct driver of urban green productivity. Policy implications highlight the need to prioritise digital innovation, support green R&D, and deepen trade liberalisation to ensure that export upgrading translates into sustainable urban growth.

Indexed as

Green technological innovationImproved export qualityModerating effectUrban green total factor productivity

Identifiers

PMID41951691
PMCPMC13156284

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.