Evidence map›Paper›PMID 42541299›Full record

ArticleiScience2026

Does carbon emission rights trading foster energy-saving technological innovation? Evidence from listed manufacturing firms in China.

Yehui Fu, Jianfen Seng, Kaidi Yue, Lijie 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.

Yehui FuSchool of Economics and Management, Xinjiang University, Urumqi, China.
Jianfen SengSchool of Economics and Management, Xinjiang University, Urumqi, China.
Kaidi YueSchool of Economics and Management, Xinjiang University, Urumqi, China.
Lijie ZhangSchool of Economics and Management, Xinjiang University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's green transition is advancing, yet fossil fuels remain dominant, underscoring the importance of energy-saving technological innovation (ESTI) for low-carbon development. Existing studies mainly focus on the impact of carbon emissions trading (CET) on broad green innovation, while evidence on CET-induced ESTI remains limited. Using 3.09 million patent texts from Chinese listed manufacturing firms during 2008-2023, we employ a large language model (LLM) to identify firm-level ESTI and estimate the effect of CET through a staggered difference-in-differences (DIDs) approach. Results show that CET significantly promotes ESTI, and the findings remain robust across multiple tests. Mechanism analysis reveals three channels: increased carbon-risk exposure, substitution between government subsidies and market incentives, and correction of market inefficiencies. The effect is stronger among firms with lower pollution intensity and those without greenwashing behavior. These findings provide micro-level evidence on how environmental regulation fosters ESTI and offer implications for carbon-market and subsidy design.

Indexed as

carbon emission rights tradingclimate risk perceptionenergy-saving technological innovationlarge-language model

Identifiers

PMID42541299
PMCPMC13427413

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.