Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm.
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| Title: | Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm. |
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| Authors: | Li, Yao1 (AUTHOR) liyao1005@163.com |
| Source: | International Journal of Electrical Engineering Education. Oct2025, Vol. 62 Issue 4, p354-369. 16p. |
| Subjects: | Income gap, Economic development, Panel analysis, Fuzzy clustering technique, City dwellers, Big data, Wealth inequality, Rural Americans |
| Abstract: | With the rise of the tertiary industry, the financial industry has achieved unprecedented development, which is mainly reflected in the rapid growth of economic aggregate, the increasingly balanced financial structure system and the increasingly diversified financial products. However, with the rapid development of financial industry, the income of urban and rural residents is increasingly unbalanced. The increasing income gap between urban and rural areas has caused a large number of adverse phenomena in the process of economic development, seriously affecting the income distribution of the people and even causing social instability. Therefore, in today's big data era, it is necessary to systematically study and analyze the impact of financial industry development on the national income gap between urban and rural areas. At the same time, it is of great significance to improve the problem of excessive income gap between urban and rural areas. This paper mainly analyses the relationship between the three effects of the development of financial industry and the income gap between urban and rural residents. In the empirical aspect, the paper creatively uses the fuzzy Kmeans clustering algorithm to regression analysis the panel data of a certain area from 2010 to 2018. At the same time, in the empirical data analysis, this paper creatively replaces the European norm measure of the Kmeans clustering algorithm with the AE measure, and puts forward a proposal. The index of financial development level is based on the proportion of loans from financial institutions. Through theoretical and empirical analysis, this paper draws the following conclusions: the financial scale in the financial industry will have a huge impact on the income gap between urban and rural areas. Finally, based on the above problems and current situation, this paper puts forward relevant improvement suggestions. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 188807029 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Yao%22">Li, Yao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liyao1005@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+Engineering+Education%22">International Journal of Electrical Engineering Education</searchLink>. Oct2025, Vol. 62 Issue 4, p354-369. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Income+gap%22">Income gap</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+development%22">Economic development</searchLink><br /><searchLink fieldCode="DE" term="%22Panel+analysis%22">Panel analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+clustering+technique%22">Fuzzy clustering technique</searchLink><br /><searchLink fieldCode="DE" term="%22City+dwellers%22">City dwellers</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Wealth+inequality%22">Wealth inequality</searchLink><br /><searchLink fieldCode="DE" term="%22Rural+Americans%22">Rural Americans</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the rise of the tertiary industry, the financial industry has achieved unprecedented development, which is mainly reflected in the rapid growth of economic aggregate, the increasingly balanced financial structure system and the increasingly diversified financial products. However, with the rapid development of financial industry, the income of urban and rural residents is increasingly unbalanced. The increasing income gap between urban and rural areas has caused a large number of adverse phenomena in the process of economic development, seriously affecting the income distribution of the people and even causing social instability. Therefore, in today's big data era, it is necessary to systematically study and analyze the impact of financial industry development on the national income gap between urban and rural areas. At the same time, it is of great significance to improve the problem of excessive income gap between urban and rural areas. This paper mainly analyses the relationship between the three effects of the development of financial industry and the income gap between urban and rural residents. In the empirical aspect, the paper creatively uses the fuzzy Kmeans clustering algorithm to regression analysis the panel data of a certain area from 2010 to 2018. At the same time, in the empirical data analysis, this paper creatively replaces the European norm measure of the Kmeans clustering algorithm with the AE measure, and puts forward a proposal. The index of financial development level is based on the proportion of loans from financial institutions. Through theoretical and empirical analysis, this paper draws the following conclusions: the financial scale in the financial industry will have a huge impact on the income gap between urban and rural areas. Finally, based on the above problems and current situation, this paper puts forward relevant improvement suggestions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/0020720920936837 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 354 Subjects: – SubjectFull: Income gap Type: general – SubjectFull: Economic development Type: general – SubjectFull: Panel analysis Type: general – SubjectFull: Fuzzy clustering technique Type: general – SubjectFull: City dwellers Type: general – SubjectFull: Big data Type: general – SubjectFull: Wealth inequality Type: general – SubjectFull: Rural Americans Type: general Titles: – TitleFull: Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Yao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00207209 Numbering: – Type: volume Value: 62 – Type: issue Value: 4 Titles: – TitleFull: International Journal of Electrical Engineering Education Type: main |
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