Evidence map›Paper›PMID 42297961›Full record

ArticleScientific reports2026

Industrial green transformation efficiency and its driving factors in resource-based cities: the case of the Yellow River Basin.

Yang Yuchun, Liang Jiayao

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.

Yang YuchunSchool of Economics, Northwest Normal University, Lanzhou City, Gansu Province, China. yangyc@nwnu.edu.cn.
Liang JiayaoSchool of Economics, Northwest Normal University, Lanzhou City, Gansu Province, China.

Funding

the Soft Science Special Project of Gansu Province Science and Technology Basic Research Plan 25JRZA168
6 · The paper itself

Abstract

Enhancing industrial green transformation efficiency (IGTE) of resource-based cities in the Yellow River Basin is critical for upgrading industries, controlling carbon emission, and fostering sustainable high-quality development. This study evaluates the IGTE of 40 resource-based cities within the basin from 2010 to 2021 using the Super-SBM model, and analyzes its spatiotemporal evolution. Furthermore, the Tobit model is employed to identify the driving factors of IGTE. The results indicate that: (1) During the study period, the IGTE of resource-based cities shows a fluctuating upward trajectory. From a spatial perspective, cities located in the lower reaches perform better than those in the middle and upper reaches. Regarding development stages, growing cities achieve the highest level of IGTE, followed by regenerative ones, whereas mature and declining cities exhibit comparatively lower efficiency. (2) At the basin-wide level, both economic development and environmental regulations exert significant positive effects on IGTE. (3) For mature cities, industrial structure upgrading and industrial agglomeration contribute positively to IGTE improvement. In contrast, technological advancement and industrial structure show no significant promoting effect in declining and regenerative cities. Based on these results, this paper proposes targeted policy recommendations to facilitate a balance between economic growth and environmental government in ecologically vulnerable regions like the Yellow River Basin.

Indexed as

Driving factorsIndustrial green transformation efficiencyResource-based citiesThe Yellow River Basin

Identifiers

PMID42297961
PMCPMC13408764

What OpenQuestion holds

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LicenceCC BY
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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.