Energy Reports (Nov 2022)

New energy industry financial technology based on machine learning to help rural revitalization

  • Feng Shao

Journal volume & issue
Vol. 8
pp. 13970 – 13978

Abstract

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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.

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