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Cited by 268

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

Geographic proximity and corporate investment efficiency: Evidence from high-speed rail construction in China

Wu, Yizhong, Lee, Chien-Chiang, Lee, Chi-Chuan, Peng, Diyun·2022·Journal of Banking & Finance
DOI 10.1016/j.jbankfin.2022.106510
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Crossref · 10.1016/j.jbankfin.2022.106510

Cites

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Metadata

Authors
Wu, Y., Lee, C.-C., Lee, C.-C., & Peng, D.
Venue
Journal of Banking & Finance
Publisher
Elsevier BV
Published
2022-07
Volume
140
Pages
106510
ISSN
0378-4266 (ISSN-L)
DOI
10.1016/j.jbankfin.2022.106510
OpenAlex
W4223624783
Cited by
268
References
75
FWCI
109.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Geographic proximity and corporate investment efficiency: Evidence from high-speed rail construction in China. https://app.cochat.ai/papers/10.1016/j.jbankfin.2022.106510
The paper
Wu, Y., Lee, C.-C., Lee, C.-C., & Peng, D. (2022). Geographic proximity and corporate investment efficiency: Evidence from high-speed rail construction in China. Journal of Banking & Finance. https://doi.org/10.1016/j.jbankfin.2022.106510

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.