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
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.
Integrity signals
Registry
Cites
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.
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
Bounds testing approaches to the analysis of level relationships
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework
Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014) · Festschrift in Honor of Peter Schmidt · doi:10.1007/978-1-4899-8008-3_9 · Cited by 3,835
China’s environment in a globalizing world
Liu, J., & Diamond, J. (2005) · Nature · doi:10.1038/4351179a · Cited by 1,643
Shi, A. (2003) · Ecological Economics · doi:10.1016/s0921-8009(02)00223-9 · Cited by 671
Cited by
Shen, Y., Su, Z.-W., Malik, M. Y., Umar, M., Khan, Z., & Khan, M. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.142538 · Cited by 698
Self-citationImpact of globalization, economic factors and energy consumption on CO2 emissions in Pakistan
Khan, M. K., Teng, J.-Z., Khan, M. I., & Khan, M. O. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.06.065 · Cited by 561
Ma, Q., Murshed, M., & Khan, Z. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112345 · Cited by 365
Self-citationQin, L., Raheem, S., Murshed, M., Miao, X., Khan, Z., & Kirikkaleli, D. (2021) · Sustainable Development · doi:10.1002/sd.2208 · Cited by 346
Self-citation
Metadata
- Authors
- Khan, Z., Sisi, Z., & Siqun, Y.
- Venue
- Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
- Publisher
- Informa UK Limited
- 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.