Evidence map›Paper›PMID 41361577›Full record

ArticleScientific reports2025

The impact of carbon emissions trading on innovation bubbles in manufacturing enterprises.

Ziwei Lyu, Guocheng 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

2 authors.

Ziwei LyuSchool of Finance and Economics, Qinghai University, Xining, 810016, China.
Guocheng LiSchool of Economics and Management, Beijing University of Technology, Beijing, 100124, China. lyulgc@gmail.com.

Funding

China Scholarship Council CSC202206540066
6 · The paper itself

Abstract

Carbon trading plays an important role in improving the quality of technological innovation and suppressing innovation bubbles. We use patent data and financial data from Chinese firms from 2010 to 2021 and apply a difference-in-differences-in-differences (DDD) model to analyse the causal relationship between the carbon trading and technological innovation of manufacturing firms to demonstrate the inhibitory effect of manufacturing firms' participation in carbon trading on innovation bubbles and to consider the synergistic effect of government intervention. The conclusions of the study are as follows. First, the participation of manufacturing enterprises in carbon trading increases their R&D investment, which does not increase the quantity of innovation but significantly improves the quality of their innovation, thus suppressing the creation of innovation bubbles. Second, government intervention can effectively play a synergistic role in improving the quality of technological innovation in manufacturing enterprises. Finally, the impact of carbon trading on technological innovation is more pronounced for large enterprises and high-tech manufacturing enterprises.

Indexed as

Carbon tradingInnovation bubbleInnovative qualityManufacturing enterprises

Identifiers

PMID41361577
PMCPMC12695974

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.