Evidence map›Paper›PMID 39801962›Full record

ArticleHeliyon2025

Assessing the risk spillover effects between the Chinese carbon market and the US-China energy market.

Jiale Yan, Cem Işık

Abstract read
In one paragraph

Article in Heliyon, 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.

Jiale YanCollege of Letters and Science, University of California Berkeley, 94720, USA.
Cem IşıkDepartment of Economics, Faculty of Economics and Administrative Sciences Anadolu University, Eskisehir, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pollution caused by environmental problems has aggravated the problem of resource scarcity, and the destruction of the ecological environment by mankind has shown serious consequences. Countries around the world are actively launching various carbon emission reduction and energy transformation policies to face this predicament. This paper investigates the risk spillover effects of China's carbon trading market with China's energy market and the U.S. energy market from the first quarter of 2018 to the first quarter of 2022. This paper uses the optimal ARMA-GARCH to fit the marginal distribution of each market and selects the optimal Copula function for the calculation of CoVaR to obtain more accurate risk measurement results. The results of this paper are as follows. First, there is a bidirectional risk spillover effect between each market in China and the U.S. At the same time, the risk spillover is time-varying, and the extreme return brings more risk. Second, the overall trend of risk spillover from China's carbon market to the U.S.-China energy market has not increased significantly, but the risk of China's energy market to China's carbon market has increased significantly over time. Third, the risk spillover situation in China's carbon trading market is not smooth. Compared to the energy market, it is also more prone to violent reactions in the face of risks. This paper provides policy recommendations to promote the coordinated development of energy and carbon markets.

Indexed as

China carbon marketRisk spilloverUS-China carbon market

Identifiers

PMID39801962
PMCPMC11720903

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.