Evidence map›Paper›PMID 34482466›Full record

ArticleEnvironmental science and pollution research international2022

Exploring volatility of carbon price in European Union due to COVID-19 pandemic.

Feng Dong, Yujin Gao, Yangfan Li, Jiao Zhu, Mengyue Hu, Xiaoyun Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
11.2field-weighted citation impact, top 2% of its field
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

3 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
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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

6 authors at 1 institution in 1 country.

Feng DongSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China. dongfeng2008@126.com.ORCID http://orcid.org/0000-0002-5177-6453
Yujin GaoSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Yangfan LiSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Jiao ZhuSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Mengyue HuSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Xiaoyun ZhangSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China. ts18070012A31@cumt.edu.cn.
China University of Mining and Technology · CN

Funding

humanities and social science fund of ministry of education of china 19JDGC011major program of national fund of philosophy and social science of china 21ZDA86national natural science foundation of china 71974188 and 71573254
6 · The paper itself

Abstract

The European Union (EU) Emissions Trading System is the most important means for the EU to achieve carbon neutrality, but it has been severely affected by the outbreak of COVID-19 in Europe, and carbon price have fluctuated sharply. Research on the driving factors of carbon price during this period will help maintain the stability of the carbon emissions trading market and promote the realization of carbon neutrality. This study selected the EU carbon allowance futures price as the research object and applied the Bai-Perron structural break test to analyze the factors that influences carbon price fluctuations using the Johansen cointegration technique and the Newey-West regression estimation. Studies have shown that the outbreak of COVID-19 and the "€750 billion green recovery plan" both had a significant impact on EU carbon price. Carbon price has also undergone significant structural changes. Under the influence of these two factors, the relationship between the level of economic development and carbon price displayed a short-term negative correlation. At the same time, oil price and interbank dismantling rates were also important factors affecting carbon price, while the impact of the clean development mechanism on carbon price was not significant. The study confirmed the effectiveness of the EU's "green recovery plan" in stabilizing the carbon market during the COVID-19 pandemic and will provide a reference for the formulation of economic recovery policies of countries around the world.

Indexed as

CarbonCOVID-19European UnionHumansPandemicsSARS-CoV-2CarbonCarbon neutralityCarbon priceCOVID-19Green recovery plan

Identifiers

PMID34482466
PMCPMC8418685
OpenAlexW3198667217

What OpenQuestion holds

Textmetadata
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.