Evidence map›Paper›PMID 42031952›Full record

ArticleScientific reports2026

Spatial spillovers, mediating mechanisms and moderating effects of industrial agglomeration in promoting green total factor productivity.

Cheng Zhong, Jin Yin, Saifuzzaman Ibrahim, Xinyu Zhang, Xiaoming Mao

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

5 authors.

Cheng ZhongSchool of Business, Pingxiang University, Pingxiang, 337055, China.
Jin YinSchool of Business, Pingxiang University, Pingxiang, 337055, China. yjzc0603@126.com.
Saifuzzaman IbrahimSchool of Business and Economics, Universiti Putra Malaysia, Serdang, 43400, Malaysia.
Xinyu ZhangSunwah International Business School, Liaoning University, Shenyang, 110000, China.
Xiaoming MaoSchool of Economics and Management, Nanchang University, Nanchang, 330031, China.

Funding

National Social Science Fund of China 22BJY196
6 · The paper itself

Abstract

Industrial agglomeration (AGG) reshapes industrial green transformation through the dynamic interplay of economies of scale and congestion effects, yet its nonlinear relationship with green total factor productivity (GTFP) is continuously reconfigured by deepening spatial linkages, energy efficiency evolution, and iterative green economic policies. Leveraging panel data from 279 Chinese prefecture-level cities spanning 2011–2023, this study constructs a Spatial Durbin Model (SDM) and employs comprehensive robustness checks and endogeneity treatments to ensure causal validity. Our findings reveal: (1) a significant U-shaped AGG-GTFP nexus, wherein low-level agglomeration suppresses GTFP while high-level agglomeration fosters it; (2) positive spatial spillovers of GTFP, with neighboring AGG exerting inverted U-shaped effects on local GTFP; (3) energy efficiency serving as a partial mediator; and (4) markedly heterogeneous policy moderating effects—National Pilot Program of Low-Carbon Cities and National Big Data Comprehensive Pilot Zone Policy Green Finance Reform and Innovation Pilot Policy flatten the U-shaped curve, Green Finance Reform and Innovation Pilot Policy steepens it, and Emissions Trading Scheme Pilot Policy demonstrate insignificant moderation. These results furnish theoretical and empirical foundations for staged agglomeration regulation, cross-regional coordinated governance, and precision policy design.

Indexed as

Energy efficiencyGreen total factor productivityIndustrial agglomerationPolicy heterogeneitySpatial spillover effects

Identifiers

PMID42031952
PMCPMC13276366

What OpenQuestion holds

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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.