Evidence map›Paper›PMID 41238677›Full record

ArticleScientific reports2025

The impact of economic complexity on green technology innovation in China.

Xiang Ruan, Shanlang Lin, Junpei Huang, Chenghan Li

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Xiang RuanShanghai Institute for Global City, Shanghai Normal University, Shanghai, China.
Shanlang LinSchool of Economics and Management, Tongji University, Shanghai, China.
Junpei HuangDepartment of Physical Education, Tongji University, Shanghai, China.
Chenghan LiSchool of Economics and Management, Tongji University, Shanghai, China. 2410590@tongji.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green technology innovation (GTI) plays a pivotal role in mitigating global climate change and advancing environmental sustainability. Economic complexity, which reveals the diversity and sophistication of economic structures, provides a novel analytical perspective for improving the GTI. This research explores the potential influence of economic complexity on GTI advancement. This study constructs a dual fixed effects model to empirically analyze the influence of economic complexity on GTI, using panel data from 288 Chinese cities over the period 2000-2016. The results show that economic complexity significantly promotes GTI. On average, a 1% increase in economic complexity leads to a 1.84% increase in GTI. In addition, the impact of economic complexity is heterogeneous, with cities in less developed regions and central-western areas deriving greater marginal benefits from economic complexity growth. Additionally, we find that economic complexity can promote GTI through knowledge spillover and industrial structure upgrading. Furthermore, we demonstrate that the increase in economic complexity drives the "quantity-and-quality improvement" of GTI. Finally, using data sourced from China's A-share listed companies, we provide micro-level evidence of the connection between economic complexity and the GTI.

Indexed as

Economic complexityFitness and complexity algorithmGreen patentGreen technology innovation

Identifiers

PMID41238677
PMCPMC12618540

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.