IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4122-d1079196.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4122/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/5/4122/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Zhen Liu & Yiming Wei & Qiuming Li & Jing Lan, 2021. "The Mediating Role of Social Capital in Digital Information Technology Poverty Reduction an Empirical Study in Urban and Rural China," Land, MDPI, vol. 10(6), pages 1-21, June.
    3. 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.
    4. Doeglas, Dirk & Suurmeijer, Theo & Briançon, Serge & Moum, Torbjørn & Krol, Boudien & Bjelle, Anders & Sanderman, Robbert & van den Heuvel, Wim, 1996. "An international study on measuring social support: Interactions and satisfaction," Social Science & Medicine, Elsevier, vol. 43(9), pages 1389-1397, November.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jun Wen & Hadi Hussain & Renai Jiang & Junaid Waheed, 2023. "Overcoming the Digital Divide With ICT Diffusion: Multivariate and Spatial Analysis at China’s Provincial Level," SAGE Open, , vol. 13(1), pages 21582440231, March.
    2. Jingrong Tan & Lin Chen, 2022. "Spatial Effect of Digital Economy on Particulate Matter 2.5 in the Process of Smart Cities: Evidence from Prefecture-Level Cities in China," IJERPH, MDPI, vol. 19(21), pages 1-20, November.
    3. Xiaohan Li & Yang Lv & Md Nazirul Islam Sarker & Xun Zeng, 2022. "Assessment of Critical Diffusion Factors of Public–Private Partnership and Social Policy: Evidence from Mainland Prefecture-Level Cities in China," Land, MDPI, vol. 11(3), pages 1-15, February.
    4. Livio Cricelli & Serena Strazzullo, 2021. "The Economic Aspect of Digital Sustainability: A Systematic Review," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    5. Alathur, Sreejith & Vigneswara Ilavarasan, P. & Gupta, M.P., 2016. "Determinants of e-participation in the citizens and the government initiatives: Insights from India," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 25-35.
    6. Silvana Rossy Brito & Aleksandra Socorro da Silva & Eulália Carvalho Mata & Nandamudi Lankalapalli Vijaykumar & Cláudio Alex Jorge Rocha & Maurílio Abreu Monteiro & João Crisóstomo Weyl Albuquerque Co, 2018. "An approach to evaluate large-scale ICT training interventions," Information Systems Frontiers, Springer, vol. 20(4), pages 883-899, August.
    7. David Mhlanga, 2022. "Stakeholder Capitalism, the Fourth Industrial Revolution (4IR), and Sustainable Development: Issues to Be Resolved," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    8. Jessica Michgelsen & Daniel Boateng & Karlijn A.C. Meeks & Erik Beune & Juliet Addo & Silver Bahendeka & Karien Stronks & Charles Agyemang, 2021. "Association between Practising Religion and Cardiovascular Disease Risk among Ghanaian Non-Migrants and Migrants in Europe: The RODAM Study," IJERPH, MDPI, vol. 18(5), pages 1-13, March.
    9. Sarkar, Avijit & Pick, James B. & Johnson, Jeremy, 2015. "Africa's digital divide: Geography, policy, and implications," 2015 Regional ITS Conference, Los Angeles 2015 146339, International Telecommunications Society (ITS).
    10. Hilbert, Martin, 2016. "The bad news is that the digital access divide is here to stay: Domestically installed bandwidths among 172 countries for 1986–2014," Telecommunications Policy, Elsevier, vol. 40(6), pages 567-581.
    11. David Mhlanga, 2023. "Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review," Energies, MDPI, vol. 16(2), pages 1-17, January.
    12. Sayed Fayaz Ahmad & Heesup Han & Muhammad Mansoor Alam & Mohd. Khairul Rehmat & Muhammad Irshad & Marcelo Arraño-Muñoz & Antonio Ariza-Montes, 2023. "Impact of artificial intelligence on human loss in decision making, laziness and safety in education," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    13. Rosario Fernández-Peña & José Luis Molina & Oliver Valero, 2020. "Satisfaction with Social Support Received from Social Relationships in Cases of Chronic Pain: The Influence of Personal Network Characteristics in Terms of Structure, Composition and Functional Conten," IJERPH, MDPI, vol. 17(8), pages 1-17, April.
    14. Elena Korneeva & Wadim Strielkowski & Raisa Krayneva & Anna Sherstobitova, 2022. "Social Health and Psychological Safety of Students Involved in Online Education during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
    15. Yunong Huang & Hung Wong, 2014. "Impacts of Sense of Community and Satisfaction with Governmental Recovery on Psychological Status of the Wenchuan Earthquake Survivors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(2), pages 421-436, June.
    16. Valentina Vasile & Mirela Panait & Simona-Andreea Apostu, 2021. "Financial Inclusion Paradigm Shift in the Postpandemic Period. Digital-Divide and Gender Gap," IJERPH, MDPI, vol. 18(20), pages 1-28, October.
    17. Catalina Radu & Carmen Nadia Ciocoiu & Cristina Veith & Razvan Catalin Dobrea, 2024. "Artificial Intelligence and Competency-Based Education: A Bibliometric Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 220-220, February.
    18. Urbig, Diemo & Monsen, Erik, 2012. "The structure of optimism: “Controllability affects the extent to which efficacy beliefs shape outcome expectancies”," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 854-867.
    19. Amir Hassan Zadeh & Hamed M. Zolbanin & Ramesh Sharda & Dursun Delen, 2019. "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 743-760, August.
    20. Wang, Di & Zhou, Tao & Lan, Feng & Wang, Mengmeng, 2021. "ICT and socio-economic development: Evidence from a spatial panel data analysis in China," Telecommunications Policy, Elsevier, vol. 45(7).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4122-:d:1079196. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.