Evidence map›Paper›PMID 42331947›Full record

ArticleScientific reports2026

Green finance and technological innovation interact to shape economic growth in China.

Li He, Nurhafiza Abdul Kader Malim, Du Xuyang, Xu Zaijuan

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
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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.

Li HeSchool of Ecology, Sun Yat-Sen University - Shenzhen Campus, Shenzhen, 518000, China.
Nurhafiza Abdul Kader MalimSchool of Management, Universiti Sains Malaysia, USM, Penang, 11800, Malaysia. fizanur@usm.my.ORCID http://orcid.org/0000-0002-5113-918X
Du XuyangSchool of Economics and Business Administration, Heilongjiang University, Harbin, China. 2025036@hlju.edu.cn.
Xu ZaijuanSchool of Universal Health and Management, Guangzhou College of Technology and Business, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the direct effects and the interaction between green finance and technological innovation on China's economic growth. The empirical analysis draws on a balanced panel of 30 Chinese provinces spanning 2013-2023 and estimates two-way fixed-effects models with heteroskedasticity-robust standard errors to absorb time-invariant provincial characteristics and common macroeconomic shocks. Green finance is measured with a composite indicator combining green bond and green credit, while technological innovation is measured with R&D investment. The estimates point to a positive and statistically significant complementarity: the interaction item equals 0.0737% in the robust fixed-effects model, indicating that technological innovation amplifies the growth returns associated with green financial deepening. Potential endogeneity is mitigated through IV-2SLS, system-GMM and machine-learning-IV, and the interaction effect remains positive across approaches. Heterogeneity tests further suggest that the interaction is most pronounced in eastern region and weaker in western region, consistent with regional disparities in absorptive capacity and financial-innovation infrastructure. Collectively, these findings underscore the value of policy designs that align green financial instruments with technological innovation support to promote high-quality, sustainable growth.

Indexed as

ChinaEconomic growthGreen financeinteraction effectsPanel dataTechnological innovation

Identifiers

PMID42331947
PMCPMC13575252

What OpenQuestion holds

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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.