Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 166

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Environmental regulations an option: Asymmetry effect of environmental regulations on carbon emissions using non-linear ARDL

Khan, Zeeshan, Sisi, Zhu, Siqun, Yang·2019·Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Abstract

Zeeshan Khan*a http://orcid.org/0000-0003-1374-0836, Zhu Sisia http://orcid.org/0000-0002-2788-9423 & Yang Siquna http://orcid.org/0000-0001-6539-7289a School of Economics and Management (SEM), Tsinghua University, Beijing, ChinaCONTACT Zeeshan Khan zeeshan.17@sem.tsinghua.edu.cnColor versions of one or more of the figures in the article can be found online at www.tandfonline.com/ueso.ABSTRACTThe current study reported the asymmetry effect of environmental regulations in the presence of controlled variables such as research and development spending, urban population growth, energy consumption, and financial development on carbon emissions in case of China for the period of 1991–2015. Econometric techniques such as ADF and PP is used to check the stationarity of the data while asymmetry or non-linear ARDL is used to check the asymmetry. The results suggest symmetric or linear relationship between environmental regulations and carbon emissions. Linear ARDL is applied to check long-run and short-run relationship amongst the variables. The results verified that there exists negative and statistically significant relationship exists both in short and long-run between environmental regulation and carbon emissions. Similarly, research and development and financial development also improve carbon emissions. However, urban population growth and energy consumption increase carbon emissions. The study further suggests that sustainable, green urbanization, green credit concept to promote sustainable financial development, innovation in technology through research and development and current environmental regulation should be strengthening to achieve China 2030 target of reducing 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 · 10.1080/15567036.2018.1504145

Cites

4 of 4 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 4 references

Cited by

See all 166

Metadata

Authors
Khan, Z., Sisi, Z., & Siqun, Y.
Venue
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
Published
2018-10-04
Volume
41
Issue
2
Pages
137-155
ISSN
  • 1556-7036 (ISSN-L)
  • 1556-7230
OpenAlex
W2894640344
Cited by
166
References
4
FWCI
26.33
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: Environmental regulations an option: Asymmetry effect of environmental regulations on carbon emissions using non-linear ARDL. https://app.cochat.ai/papers/10.1080/15567036.2018.1504145
The paper
Khan, Z., Sisi, Z., & Siqun, Y. (2019). Environmental regulations an option: Asymmetry effect of environmental regulations on carbon emissions using non-linear ARDL. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. https://doi.org/10.1080/15567036.2018.1504145

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.