Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 447

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Public appeal, environmental regulation and green investment: Evidence from China

Liao, Xianchun, Shi, Xunpeng (Roc)·2018·Energy Policy

Abstract

While China has enjoyed rapid economic growth, its environment is deteriorating. One critical solution is to shift from fossil fuels to renewable energy. Although carbon markets may provide some financial sources, other financial institutions are needed to raise green investment in order to achieve low carbon growth. This study examines the determinants of green investment in China from the perspective of public appeal by employing economic and econometric models with a panel dataset for 30 provinces over the period from 1998 to 2014. Our results demonstrate that public appeal tends to have a positive effect on increasing green investment in China's context. Other findings show that industry structure, population, and regional Gross Domestic Product have significantly positive impacts on green investment, while openness, energy mix, carbon markets, and Foreign Direct Investment have significantly negative effects on green investment. Importantly, the results of channel analysis suggest that public appeal promotes local governments’ enforcement of stricter environmental regulation, thereby encouraging firms to increase their green investment.

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.enpol.2018.05.020

Cites

2 of 2 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 2 references

Cited by

Metadata

Authors
Liao, X., & Shi, X. (.
Venue
Energy Policy
Publisher
Elsevier BV
Published
2018-08
Volume
119
Pages
554-562
ISSN
0301-4215 (ISSN-L)
OpenAlex
W2804905961
Cited by
447
References
2
FWCI
45.52
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: Public appeal, environmental regulation and green investment: Evidence from China. https://app.cochat.ai/papers/10.1016/j.enpol.2018.05.020
The paper
Liao, X., & Shi, X. (. (2018). Public appeal, environmental regulation and green investment: Evidence from China. Energy Policy. https://doi.org/10.1016/j.enpol.2018.05.020

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.