Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 286

The DOI matches its Crossref record.

Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’ economy in China

Yu, Yang, Du, Yu·2019·Atmospheric Pollution Research

Abstract

Abstract As the largest carbon emitter in the world, China faces up with great pressure to reduce emissions. China's economy stepped into a status so called ‘New Normal’, in which major change is taking place in terms of growth rate & force, development model, and economic structure. Firstly, an extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model was established to study the impact of technological innovation on carbon dioxide (CO2) emissions based on Chinese provincial panel data from 1997 to 2015. Secondly, the sample was classified into two groups, namely high-speed growth group and low-speed growth group, and the extended STIRPAT model was used to investigate the impact of technological innovation on CO2 emissions in these two groups. Thirdly, scenario simulations were herein introduced to predict CO2 emissions in 2016–2030 as economy stepped into the ‘New Normal’. Finally, logistic equation was applied to predict CO2 emissions during the period of 2016–2030. It was deduced that in comparison with the high-speed growth group, independent innovation makes a greater contribution on promoting CO2 emissions as the economy keeps a slowly growth rate. Besides, the contribution of introducing innovation on CO2 emissions was proven to be essentially marginal as for the low-speed growth group although it has significant impact effect on reducing CO2 emissions from the high-speed growth group. The prediction indicates new progress on CO2 emissions reduction in the future China will be achieved as appropriate policy on technological innovation is issued by government in the ‘New Normal’ period.

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 · 10.1016/j.apr.2018.07.005

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.

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

Cited by

See all 286

Metadata

Authors
Yu, Y., & Du, Y.
Venue
Atmospheric Pollution Research
Publisher
Elsevier BV
Published
2019-01
Volume
10
Issue
1
Pages
152-161
ISSN
1309-1042 (ISSN-L)
OpenAlex
W2884035018
Cited by
286
References
0
FWCI
27.08
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: Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’ economy in China. https://app.cochat.ai/papers/10.1016/j.apr.2018.07.005
The paper
Yu, Y., & Du, Y. (2019). Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’ economy in China. Atmospheric Pollution Research. https://doi.org/10.1016/j.apr.2018.07.005

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.