Evidence map›Paper›PMID 33394419›Full record

ArticleEnvironmental science and pollution research international2021

The effectiveness and heterogeneity of carbon emissions trading scheme in China.

Kai Tang, Ye Zhou, Xiaoyu Liang, Di Zhou

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Reduction Effect of Carbon Emission Trading Policy in Decreasing PMInternational journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. The impact of carbon market pilots on air pollution: evidence from China.Environmental science and pollution research international · 2021
    Article
  7. The dynamics and drivers of environmental performance in Chinese cities: a decomposition analysis.Environmental science and pollution research international · 2021
    Article
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.

Kai TangSchool of Economics and Trade, Guangdong University of Foreign Studies, Guangzhou, 510006, China.
Ye ZhouSchool of Business, Guangdong University of Foreign Studies, Guangzhou, 510006, China.
Xiaoyu LiangSchool of Business, Guangdong University of Foreign Studies, Guangzhou, 510006, China.
Di ZhouSchool of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, 510006, China. zhoudi880101@126.com.ORCID http://orcid.org/0000-0003-1472-5371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some developed economies have run emission trading scheme (ETS) to mitigate carbon emissions. However, we know little about the effectiveness and heterogeneity of ETS in a context of developing economy. This paper evaluates the effectiveness and heterogeneity of China's pilot ETS, the first ETS run in a developing economy. Difference-in-difference (DID) and difference-in-difference-in-difference (DDD) methods are employed to analyze provincial industrial-level data. The heterogeneity of ETS effects is also explored from regional and industrial perspectives. The empirical results show that the pilot ETS can effectively reduce pilot industries' carbon emissions. The reduction effect of the pilot ETS has a substantial heterogeneity for different pilot provinces and industries. Carbon emissions are reduced by the pilot ETS through technological innovation and the adjustment of industrial structure. The empirical results suggest that policymakers may consider establishing a national ETS and differentiating carbon quota allowance in covered regions and industries in the current pilot ETS.

Indexed as

CarbonGreenhouse GasesChinaIndustryCarbonGreenhouse GasesChinaDDDDIDEffectivenessETSHeterogeneity

Identifiers

What OpenQuestion holds

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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.