Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 585

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

Government connections and financial constraints: Evidence from a large representative sample of Chinese firms

Cull, Robert, Li, Wei, Sun, Bo, Xu, Lixin Colin·2015·Journal of Corporate Finance

Abstract

We examine the role of firms' government connections, defined by government intervention in CEO appointment and the status of state ownership, in determining the severity of financial constraints faced by Chinese firms. We demonstrate that government connections are associated with substantially less severe financial constraints (i.e., less reliance on internal cash flows to fund investment), and that the sensitivity of investment to internal cash flows is higher for firms that report greater obstacles to obtaining external funds. We also find that those large non-state firms with weak government connections, likely the engine for innovation in the coming years in China, are especially financially constrained, due perhaps to the formidable hold that their state rivals have on financial resources after the 'grabbing-the-big-and-letting-go-the-small' privatization program in China. Our empirical results suggest that government connections play an important role in explaining Chinese firms' financing conditions, and provide further evidence on the nature of the misallocation of credit by China's dominant state-owned banks.

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.jcorpfin.2014.10.012

Cites

81 of 81 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 81 references

Cited by

See all 585

Metadata

Authors
Cull, R., Li, W., Sun, B., & Xu, L. C.
Venue
Journal of Corporate Finance
Publisher
Elsevier BV
Published
2015-06
Volume
32
Pages
271-294
ISSN
0929-1199 (ISSN-L)
OpenAlex
W2136164403
Cited by
585
References
81
FWCI
82.59
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: Government connections and financial constraints: Evidence from a large representative sample of Chinese firms. https://app.cochat.ai/papers/10.1016/j.jcorpfin.2014.10.012
The paper
Cull, R., Li, W., Sun, B., & Xu, L. C. (2015). Government connections and financial constraints: Evidence from a large representative sample of Chinese firms. Journal of Corporate Finance. https://doi.org/10.1016/j.jcorpfin.2014.10.012

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.