New energy industry financial technology based on machine learning to help rural revitalization
Rural economic development plays an important role in China’s economic development, which can not only directly drive the development of the primary industry, but also indirectly drive the development of China’s secondary and tertiary industries. With the development of the times and the advancement...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722019424 |
| _version_ | 1797901867566497792 |
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| author | Feng Shao |
| author_facet | Feng Shao |
| author_sort | Feng Shao |
| collection | DOAJ |
| description | Rural economic development plays an important role in China’s economic development, which can not only directly drive the development of the primary industry, but also indirectly drive the development of China’s secondary and tertiary industries. With the development of the times and the advancement of science and technology, the application of intelligent technology in rural areas has become increasingly difficult in the context of social digital transformation, and the digital divide in large rural areas has widened, the energy industry financial technology is not satisfactory. In this context, in order to fully implement the rural revitalization strategy, bridge the digital divide between urban and rural areas, accelerate the pace of urban and rural financial technology, revitalize rural industries as soon as possible, and revitalize rural talents, this paper used machine learning algorithms to apply new energy industry fintech technology to rural revitalization. It can not only reduce the problem of rural information asymmetry, but also improve the rural economic level by 13.7%, which laid the foundation for the implementation of the strategy of technology-assisted financial services for rural revitalization. |
| first_indexed | 2024-04-10T09:08:44Z |
| format | Article |
| id | doaj.art-5ec22639cad147b1ad95220b750c8652 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:08:44Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-5ec22639cad147b1ad95220b750c86522023-02-21T05:13:57ZengElsevierEnergy Reports2352-48472022-11-0181397013978New energy industry financial technology based on machine learning to help rural revitalizationFeng Shao0College of Architecture and Urban Planning, Qingdao University of Technology, Qingdao 266033, Shandong, ChinaRural economic development plays an important role in China’s economic development, which can not only directly drive the development of the primary industry, but also indirectly drive the development of China’s secondary and tertiary industries. With the development of the times and the advancement of science and technology, the application of intelligent technology in rural areas has become increasingly difficult in the context of social digital transformation, and the digital divide in large rural areas has widened, the energy industry financial technology is not satisfactory. In this context, in order to fully implement the rural revitalization strategy, bridge the digital divide between urban and rural areas, accelerate the pace of urban and rural financial technology, revitalize rural industries as soon as possible, and revitalize rural talents, this paper used machine learning algorithms to apply new energy industry fintech technology to rural revitalization. It can not only reduce the problem of rural information asymmetry, but also improve the rural economic level by 13.7%, which laid the foundation for the implementation of the strategy of technology-assisted financial services for rural revitalization.http://www.sciencedirect.com/science/article/pii/S2352484722019424Machine learningRural revitalizationFinancial technologyNew energy industry |
| spellingShingle | Feng Shao New energy industry financial technology based on machine learning to help rural revitalization Energy Reports Machine learning Rural revitalization Financial technology New energy industry |
| title | New energy industry financial technology based on machine learning to help rural revitalization |
| title_full | New energy industry financial technology based on machine learning to help rural revitalization |
| title_fullStr | New energy industry financial technology based on machine learning to help rural revitalization |
| title_full_unstemmed | New energy industry financial technology based on machine learning to help rural revitalization |
| title_short | New energy industry financial technology based on machine learning to help rural revitalization |
| title_sort | new energy industry financial technology based on machine learning to help rural revitalization |
| topic | Machine learning Rural revitalization Financial technology New energy industry |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722019424 |
| work_keys_str_mv | AT fengshao newenergyindustryfinancialtechnologybasedonmachinelearningtohelpruralrevitalization |