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Cited by 268

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

Natural resources and financial development: Role of business regulations in testing the resource-curse hypothesis in ASEAN countries

Tang, Chang, Irfan, Muhammad, Razzaq, Asif, Dagar, Vishal·2022·Resources Policy

Overview

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Integrity signals

Registry

Crossref · 10.1016/j.resourpol.2022.102612

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

Verification

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Citations

Cites

3 retracted

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Metadata

Authors
Tang, C., Irfan, M., Razzaq, A., & Dagar, V.
Venue
Resources Policy
Publisher
Elsevier BV
Published
2022-06
Volume
76
Pages
102612
ISSN
0301-4207 (ISSN-L)
OpenAlex
W4214907923
Cited by
268
References
76
FWCI
85.61
Type
journal article
Language
en
Open access
closed

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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.

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How to cite

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This page
CoChat. (2026). Citation check: Natural resources and financial development: Role of business regulations in testing the resource-curse hypothesis in ASEAN countries. https://app.cochat.ai/papers/10.1016/j.resourpol.2022.102612
The paper
Tang, C., Irfan, M., Razzaq, A., & Dagar, V. (2022). Natural resources and financial development: Role of business regulations in testing the resource-curse hypothesis in ASEAN countries. Resources Policy. https://doi.org/10.1016/j.resourpol.2022.102612

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.