Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 334

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

China’s CO2 peak before 2030 implied from characteristics and growth of cities

Open access
Wang, Haikun, Lu, Xi, Deng, Yu, Sun, Yaoguang, Nielsen, Chris P., Liu, Yifan, Zhu, Ge, Bu, Maoliang, Bi, Jun, McElroy, Michael B.·2019·Nature Sustainability

Abstract

China pledges to peak CO2 emissions by 2030 or sooner under the Paris Agreement to limit global warming to 2 °C or less by the end of the century. By examining CO2 emissions from 50 Chinese cities over the period 2000–2016, we found a close relationship between per capita emissions and per capita gross domestic product (GDP) for individual cities, following the environmental Kuznets curve, despite diverse trajectories for CO2 emissions across the cities. Results show that carbon emissions peak for most cities at a per capita GDP (in 2011 purchasing power parity) of around US$21,000 (80% confidence interval: US$19,000 to 22,000). Applying a Monte Carlo approach to simulate the peak of per capita emissions using a Kuznets function based on China’s historical emissions, we project that emissions for China should peak at 13–16 GtCO2 yr−1 between 2021 and 2025, approximately 5–10 yr ahead of the current Paris target of 2030. We show that the challenges faced by individual types of Chinese cities in realizing low-carbon development differ significantly depending on economic structure, urban form and geographical location.Chinese commitments under the Paris Agreement are premised on a peak in CO2 emissions by 2030. Using the Kuznets curve and emissions and gross domestic product data from 50 cities in the country, this Analysis predicts that emissions in China could peak between 2021 and 2025, well ahead of the Paris target.

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 · 10.1038/s41893-019-0339-6

Cites

33 of 33 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 33 references

Cited by

See all 334

Metadata

Authors
Wang, H., Lu, X., Deng, Y., Sun, Y., Nielsen, C. P., Liu, Y., Zhu, G., Bu, M., Bi, J., & McElroy, M. B.
Venue
Nature Sustainability
Published
2019-07-29
Volume
2
Issue
8
Pages
748-754
ISSN
2398-9629 (ISSN-L)
OpenAlex
W2964365988
Cited by
334
References
33
FWCI
43.33
Type
journal article
Language
en
Open access
green

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: China’s CO2 peak before 2030 implied from characteristics and growth of cities. https://app.cochat.ai/papers/10.1038/s41893-019-0339-6
The paper
Wang, H., Lu, X., Deng, Y., Sun, Y., Nielsen, C. P., Liu, Y., Zhu, G., Bu, M., Bi, J., & McElroy, M. B. (2019). China’s CO2 peak before 2030 implied from characteristics and growth of cities. Nature Sustainability. https://doi.org/10.1038/s41893-019-0339-6

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.