The priority of industrial sector coverage in China’s national emission trading system: an application of the LASSO model-Reference-Cited by-同舟云学术

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The priority of industrial sector coverage in China’s national emission trading system: an application of the LASSO model

Published:2023-11-28 Issue:1 Volume:31 Page:594-608
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Wang Huayun,Xu Youzong,Cao Yunfei^ORCID,Yang Ping

Funder

National Natural Science Foundation of China

Beijing Institute of Technology Basic Research Fund Program

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-023-30681-8.pdf

Reference48 articles.

1. Akram R, Chen F, Khalid F, Ye Z, Majeed MT (2020) Heterogeneous effects of energy efficiency and renewable energy on carbon emissions: evidence from developing countries. J Clean Prod 247:119122. https://doi.org/10.1016/j.jclepro.2019.119122

2. Alhamzawi R, Ali HTM (2018) The Bayesian adaptive lasso regression. Math Biosci 303:75–82. https://doi.org/10.1016/j.mbs.2018.06.004

3. Bühlmann P, Van De Geer S (2011) Statistics for high-dimensional data: methods, theory and applications. Springer Science & Business Media, Berlin

4. Chiu F-P, Kuo H-I, Chen C-C, Hsu C-S (2015) The energy price equivalence of carbon taxes and emissions trading—theory and evidence. Appl Energy 160:164–171. https://doi.org/10.1016/j.apenergy.2015.09.022

5. Choi Y, Liu Y, Lee H (2017) The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach. Energy Policy 109:835–844. https://doi.org/10.1016/j.enpol.2017.06.039

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