Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 202

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

An empirical analysis of the household consumption-induced carbon emissions in China

Liu, Jinyu, Murshed, Muntasir, Chen, Fuzhong, Shahbaz, Muhammad, Kirikkaleli, Dervis, Khan, Zeeshan·2021·Sustainable Production and Consumption

Abstract

Abstract As China is becoming a domestic demand oriented economy, it is pertinent to address its household consumption-induced carbon emissions for ensuring environmental sustainability. Besides, managing the household consumption-induced carbon emissions is vital to the attainment of the nation's carbon neutrality agenda of 2060. Hence, this study examines the effects of household consumption on carbon emissions using the Chinese provincial data from 1995 to 2017. The third-generation unit root and cointegration tests are employed to account for structural breaks. Moreover, simultaneously accounting for cross-sectional dependency and slope heterogeneity concerns, the short- and long-run elasticities of carbon emissions are predicted using the pooled mean group, the common correlated effects mean group and the recently developed cross-sectional augmented autoregressive distributed lag estimators. The results, in a nutshell, reveal that household consumption attributes to greater carbon emissions. Apart from household consumption, similar adverse environmental impacts of financial development are ascertained. In contrast, technological innovation and renewable energy consumption are found to curb the carbon emissions. In line with the findings, it is recommended that household consumption of direct and indirect energy should ideally be sourced from renewable resources whereby the adverse environmental impacts of household consumption in China can be reduced. Thus, investment in renewable energy production could be a key energy policy for China. Besides, levying a carbon tax on energy-intensive commodities can also be a means to further reduce the household-consumption induced carbon emissions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.spc.2021.01.006

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Cited by

See all 202

Metadata

Authors
Liu, J., Murshed, M., Chen, F., Shahbaz, M., Kirikkaleli, D., & Khan, Z.
Venue
Sustainable Production and Consumption
Publisher
Elsevier BV
Published
2021-04
Volume
26
Pages
943-957
ISSN
2352-5509 (ISSN-L)
OpenAlex
W3120426117
Cited by
202
References
5
FWCI
30.78
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: An empirical analysis of the household consumption-induced carbon emissions in China. https://app.cochat.ai/papers/10.1016/j.spc.2021.01.006
The paper
Liu, J., Murshed, M., Chen, F., Shahbaz, M., Kirikkaleli, D., & Khan, Z. (2021). An empirical analysis of the household consumption-induced carbon emissions in China. Sustainable Production and Consumption. https://doi.org/10.1016/j.spc.2021.01.006

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.