The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
The environmental and economic effects of the carbon emissions trading scheme in China: The role of alternative allowance allocation
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“On the other hand, the study shows evidence that China’s regional ETSs improve energy efficiency and increase the share of low-carbon fuel in energy consumption in regulated cities, thereby contributing to regional carbon abatement through local own efforts.17,20,22,23”
From Carbon Abatement and Leakage in China's Regional Carbon Emission Trading (2024) · cites this paper as [23]
Citations
Cites
Ozturk, I., & Acaravci, A. (2013) · Energy Economics · doi:10.1016/j.eneco.2012.08.025 · Cited by 1,275
Green R&D for eco-innovation and its impact on carbon emissions and firm performance
Lee, K.-H., & Min, B. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.05.114 · Cited by 1,028
Can environmental innovation facilitate carbon emissions reduction? Evidence from China
Zhang, Y.-J., Peng, Y.-L., Ma, C.-Q., & Shen, B. (2017) · Energy Policy · doi:10.1016/j.enpol.2016.10.005 · Cited by 862
Hu, Y., Ren, S., Wang, Y., & Chen, X. (2020) · Energy Economics · doi:10.1016/j.eneco.2019.104590 · Cited by 620
Methodology and applications of city level CO2 emission accounts in China
Shan, Y., Guan, D., Liu, J., Mi, Z., Liu, Z., Liu, J., Schroeder, H., Cai, B., Chen, Y., Shao, S., et al. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.06.075 · Cited by 587
Environmental regulation and firm exports: Evidence from the eleventh Five-Year Plan in China
Shi, X., & Xu, Z. (2018) · Journal of Environmental Economics and Management · doi:10.1016/j.jeem.2018.03.003 · Cited by 564
Regional development and carbon emissions in China
Zheng, J., Mi, Z., Coffman, D., Milcheva, S., Shan, Y., Guan, D., & Wang, S. (2019) · Energy Economics · doi:10.1016/j.eneco.2019.03.003 · Cited by 453
R&D intensity and carbon emissions in the G7: 1870–2014
Awaworyi Churchill, S., Inekwe, J., Smyth, R., & Zhang, X. (2019) · Energy Economics · doi:10.1016/j.eneco.2018.12.020 · Cited by 450
Evaluation of effectiveness of China's carbon emissions trading scheme in carbon mitigation
Gao, Y., Li, M., Xue, J., & Liu, Y. (2020) · Energy Economics · doi:10.1016/j.eneco.2020.104872 · Cited by 398
European Emission Trading Scheme and competitiveness: A case study on the iron and steel industry
Demailly, D., & Quirion, P. (2008) · Energy Economics · doi:10.1016/j.eneco.2007.01.020 · Cited by 369
Cited by
Liu, Y., Liu, S., Shao, X., & He, Y. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111779 · Cited by 204
Does China's regional emission trading scheme lead to carbon leakage? Evidence from conglomerates
He, L.-Y., & Chen, K.-X. (2023) · Energy Policy · doi:10.1016/j.enpol.2023.113481 · Cited by 66
Carbon Abatement and Leakage in China's Regional Carbon Emission Trading
Jiang, J., Ye, B., Zeng, Z., Yang, X., Sun, Z., Shao, S., Feng, K., & Tan, X. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c04738 · Cited by 23
Beggar-thy-neighbor: Carbon leakage within China's pilot emissions trading schemes
Zhao, Z., Li, Y., & Su, X. (2024) · Sustainable Production and Consumption · doi:10.1016/j.spc.2024.04.004 · Cited by 21
Metadata
- Authors
- Peng, H., Qi, S., & Cui, J.
- Affiliations
- Wuhan University (CN)
- Duke Kunshan University (CN)
- Corresponding author
- Cui, Jingbo
- Venue
- Sustainable Production and Consumption
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 28
- Pages
- 105-115
- ISSN
- 2352-5509 (ISSN-L)
- OpenAlex
- W3150387105
- Cited by
- 114
- References
- 39
- Citations by year
- 2026: 8 · 2025: 22 · 2024: 21 · 2023: 27 · 2022: 29 · 2021: 6
- FWCI
- 15.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Sustainable Production and Consumption (publishedVersion)
- Funders
- National Office for Philosophy and Social Sciences (18ZDA107)
- Qinglan Project of Jiangsu Province of China
- National Natural Science Foundation of China (72073055)
- National Key Research and Development Program of China (2018YFC1509005)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Renewable energy and sustainable power systems
- Keywords
- emissions trading, allowance allocation, grandfathering, carbon emission reduction, emission intensity, energy efficiency, energy structure adjustment, employment effects, return on assets, China carbon market
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
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.
