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Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era

Nana Chai Orcid Logo, Mohammad Abedin Orcid Logo, Xiaoling Wang Orcid Logo, Baofeng Shi Orcid Logo

International Journal of Finance & Economics, Volume: 30, Issue: 3, Pages: 2163 - 2185

Swansea University Author: Mohammad Abedin Orcid Logo

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DOI (Published version): 10.1002/ijfe.3010

Published in: International Journal of Finance & Economics
ISSN: 1076-9307 1099-1158
Published: Wiley 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa66567
first_indexed 2024-06-02T14:58:21Z
last_indexed 2025-08-01T14:24:05Z
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spelling 2025-07-31T17:12:45.1132038 v2 66567 2024-06-02 Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era 4ed8c020eae0c9bec4f5d9495d86d415 0000-0002-4688-0619 Mohammad Abedin Mohammad Abedin true false 2024-06-02 CBAE Journal Article International Journal of Finance &amp; Economics 30 3 2163 2185 Wiley 1076-9307 1099-1158 credit risk; farmer; feature mining; industry 4.0; machine learning 1 7 2025 2025-07-01 10.1002/ijfe.3010 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University Not Required The Major Program of the National Social Science Fund of China. Grant Number: 23&ZD175 National Natural Science Foundation of China. Grant Numbers: 71873103, 72173096 2025-07-31T17:12:45.1132038 2024-06-02T15:57:38.1507650 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Nana Chai 0000-0002-1146-165x 1 Mohammad Abedin 0000-0002-4688-0619 2 Xiaoling Wang 0000-0002-1666-8916 3 Baofeng Shi 0000-0003-1244-5886 4
title Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era
spellingShingle Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era
Mohammad Abedin
title_short Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era
title_full Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era
title_fullStr Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era
title_full_unstemmed Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era
title_sort Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era
author_id_str_mv 4ed8c020eae0c9bec4f5d9495d86d415
author_id_fullname_str_mv 4ed8c020eae0c9bec4f5d9495d86d415_***_Mohammad Abedin
author Mohammad Abedin
author2 Nana Chai
Mohammad Abedin
Xiaoling Wang
Baofeng Shi
format Journal article
container_title International Journal of Finance &amp; Economics
container_volume 30
container_issue 3
container_start_page 2163
publishDate 2025
institution Swansea University
issn 1076-9307
1099-1158
doi_str_mv 10.1002/ijfe.3010
publisher Wiley
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
document_store_str 0
active_str 0
published_date 2025-07-01T17:28:07Z
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score 11.08899

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