Evidence map›Paper›PMID 42621102›Full record

ArticleiScience2026

From "Supplementing Points" to "Strengthening Network": The triple logic of new quality productivity empowering green and low-carbon manufacturing.

Shuai Liang, Huanhuan Jiang, Peng Wang, Maomao Zhang

Abstract read
In one paragraph

Article in iScience, 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

4 authors.

Shuai LiangSchool of Digital Economy and Finance, Guizhou University of Commerce, Guiyang 550014, China.
Huanhuan JiangSchool of Applied Economics, Guizhou University of Finance and Economics, Guiyang 550031, China.
Peng WangWestern Modernization Research Center, Guizhou University of Finance and Economics, Guiyang 550031, China.
Maomao ZhangCollege of Public Administration, Huazhong University of Science and Technology, Wuhan 430079, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of global climate governance, the green and low-carbon transformation in manufacturing (GLT) constitutes the strategic foundation for achieving the dual-carbon goals, with new quality productivity (NQP) serving as a key driving force. Using 2010-2023 Chinese provincial panel data and spatial Durbin and mediation models to systematically investigate the direct impact, spatial spillover effects, and underlying transmission mechanisms of NQP on GLT. This study finds that NQP significantly promotes GLT, with 78.1% of the effect arising from spatial spillovers. The effect is stronger in central, major strategic, non-technology intensive, non-resource reliant, and climate-adaptive regions. Green technology innovation (GTI), marketization level (MAR), and industrial chain resilience (ICR) serve as mediating pathways, with spatial spillover intensities decreasing in that order. Based on this, this paper proposes a "supplementing points-building chains-strengthening network" hierarchical governance framework, providing an empirical basis for the design of differentiated regional policies.

Indexed as

green technology innovationlow-carbon transformationmanufacturingnew quality productivity

Identifiers

PMID42621102
PMCPMC13486781

What OpenQuestion holds

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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.