Rural Revitalization from the Perspective of Data Science

EasyChair Preprint 14136

Abstract

This paper aims at rural revitalization from the perspective of data science. The method is as follows: First, point out the problems: with the acceleration of urbanization, the factors of production in rural areas in China are greatly drained, the gap between urban and rural development is widening, and the dual economic structure between urban and rural areas is becoming more and more serious. The capitalist mode of production not only harms the interests of farmers, but also makes the workers in cities lose their self-worth. Further, explore the way out: the arrival of the digital age has promoted the development of rural areas, guaranteed the interests of farmers and rebuilt the spiritual home of China people. Finally, grasp the key point: analyze the difficulties faced by rural development. At present, there are many difficulties in rural areas, such as resource outflow, low labor productivity of agricultural industry, unclear confirmation of data elements, rigid rural construction structure, etc., and there is a fierce collision between eastern farming civilization and western urban civilization behind it. The result is that, it is proposed to use the means of data value to promote the flow of factors into rural areas and tap effective demand by helping non-commercial finance of primary production. Its significance lies in: it is clear that rural revitalization is currently facing a new era, a new track and a new journey. In the new era, the Chinese nation is experiencing a great rejuvenation, and Chinese civilization will develop new connotations under the collision with western civilization. On the new track, agriculture should seize the digital technology and lead China to take the lead in the fourth industrial revolution. On the new journey, we will build a socialist modern country in an all-round way and embark on a unique Chinese modernization road.

Keyphrases: Farming culture, Non-commercial finance, Rural revitalization, Urbanization process, data value, the perspective of data science

@booklet{EasyChair:14136,
  author    = {Zhongzheng Sun and Xiaohui Zou and Ruhua Cao},
  title     = {Rural Revitalization from the Perspective of Data Science},
  howpublished = {EasyChair Preprint 14136},
  year      = {EasyChair, 2024}}