Impact of uncertainty on regional carbon peak paths: an analysis based on carbon emissions accounting, modeling, and driving factors-Reference-Cited by-同舟云学术

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Impact of uncertainty on regional carbon peak paths: an analysis based on carbon emissions accounting, modeling, and driving factors

Published:2021-10-20 Issue: Volume: Page:
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Zhao Kuokuo,Cui Xuezhu,Zhou Zhanhang,Huang Peixuan

Funder

project of national natural science foundation of china

project of philosophy and social sciences in guangdong province

project of guangzhou university’s 2017 training program for young topnotch personnel

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/s11356-021-16966-w.pdf

Reference60 articles.

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2. Alam MM, Murad MW, Noman AHM, Ozturk I (2016) Relationships among carbon emissions, economic growth, energy consumption and population growth: testing environmental kuznets curve hypothesis for Brazil, China, India and Indonesia. Ecol Ind 70:466–479. https://doi.org/10.1016/j.ecolind.2016.06.043

3. Cui X, Zhao K, Zhou Z, Huang P (2021) Examining the uncertainty of carbon emission changes: a systematic approach based on peak simulation and resilience assessment. Environmental Impact Assessment Review. https://doi.org/10.1016/j.eiar.2021.106667

4. Dietz T, Rosa EA (1997) Effects of population and affluence on CO2 emissions. Proceedings of the National Academy Science 94:175–179

5. Dong F, Bian Z, Yu B, Wang Y, Zhang S, Li J, Su B, Long R (2018a) Can land urbanization help to achieve CO 2 intensity reduction target or hinder it? Evidence from China. Resour Conserv Recycl 134:206–215. https://doi.org/10.1016/j.resconrec.2018.02.009

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