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Analyzing the Impact of Geographic Environment Differences on the Dual Backwardness of Rural Economy and Information in the Perspective of Digital Poverty

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  • Zhi Fang

    (Think Tank for Water Resource Protection of Hanjiang River and Southern Shaanxi Green Development, Shaanxi University of Technology, Hanzhong 723000, China)

  • Li Huang

    (School of Economics, Management and Law, Shaanxi University of Technology, Hanzhong 723000, China)

  • Huan Zhang

    (School of Economics, Management and Law, Shaanxi University of Technology, Hanzhong 723000, China)

Abstract

This paper mainly focuses on the causes, states and relationship structure of digital poverty of rural residents. The research samples consist of 60 rural residents from two rural areas in Shaanxi Province. The survey data is obtained through a one-to-one in-depth semi-structured interview method, and exploratory analysis is conducted by qualitative coding. The results show that the causes of digital poverty of rural residents include three dimensions: insufficient digital efforts, insufficient digital support and poor digital experience. Based on this, this paper puts forward some suggestions including strengthening information education, strengthening investment in digital construction and strengthening the support for characteristic industries in rural areas to implement the digital poverty reduction action of rural residents from the integrated perspective of information ecology theory and public cultural service system construction.

Suggested Citation

  • Zhi Fang & Li Huang & Huan Zhang, 2023. "Analyzing the Impact of Geographic Environment Differences on the Dual Backwardness of Rural Economy and Information in the Perspective of Digital Poverty," Sustainability, MDPI, vol. 15(5), pages 1-11, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4122-:d:1079196
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    References listed on IDEAS

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    3. Pick, James B. & Sarkar, Avijit & Johnson, Jeremy, 2015. "United States digital divide: State level analysis of spatial clustering and multivariate determinants of ICT utilization," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 16-32.
    4. Heyuan You, 2016. "Quantifying Poverty Temporal Changes in Association with Rural Transition in Guangxi, China," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-11, September.
    5. David Mhlanga, 2021. "Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
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