IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v155y2021i3d10.1007_s11205-021-02632-8.html
   My bibliography  Save this article

Economic Inequality is Associated with Lower Internet Use: A Nationally Representative Study

Author

Listed:
  • Hongfei Du

    (Beijing Normal University at Zhuhai
    Guangzhou University)

  • Nan Zhou

    (Beijing Normal University)

  • Hongjian Cao

    (Beijing Normal University)

  • Jintao Zhang

    (Beijing Normal University
    Beijing Normal University School of Psychology, Beijing Normal University)

  • Anli Chen

    (Guangzhou University)

  • Ronnel B. King

    (University of Macau)

Abstract

Income inequality generates structural barriers that prevent people especially those from disadvantaged backgrounds from accessing key resources. However, extant research on income inequality has mostly investigated its impact on limiting access to material but not digital resources. Digital resources have become more critical in the twenty-first century. The current research aims to explore whether income inequality is associated with individuals’ internet use. Based on an investigation of a nationally representative study of children and adolescents (n = 10,386; Mage = 11.61) from 25 provinces in China, we found that children and adolescents in more unequal provinces engaged in less internet use. Moreover, this relationship was moderated by socioeconomic background. In more unequal provinces, only children and adolescents from low-income families reported lower internet use but those from high-income families did not. These findings indicate the significance of income inequality and of the moderating role of socioeconomic condition in shaping access to digital resources.

Suggested Citation

  • Hongfei Du & Nan Zhou & Hongjian Cao & Jintao Zhang & Anli Chen & Ronnel B. King, 2021. "Economic Inequality is Associated with Lower Internet Use: A Nationally Representative Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 789-803, June.
  • Handle: RePEc:spr:soinre:v:155:y:2021:i:3:d:10.1007_s11205-021-02632-8
    DOI: 10.1007/s11205-021-02632-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-021-02632-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11205-021-02632-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Xiaoqun, 2013. "Income disparity and digital divide: The Internet Consumption Model and cross-country empirical research," Telecommunications Policy, Elsevier, vol. 37(6), pages 515-529.
    2. Zheng, Hui, 2012. "Do people die from income inequality of a decade ago?," Social Science & Medicine, Elsevier, vol. 75(1), pages 36-45.
    3. Easterly, William, 2007. "Inequality does cause underdevelopment: Insights from a new instrument," Journal of Development Economics, Elsevier, vol. 84(2), pages 755-776, November.
    4. Emmanuel Saez & Gabriel Zucman, 2016. "Editor's Choice Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 519-578.
    5. Choe, Jongmook, 2008. "Income inequality and crime in the United States," Economics Letters, Elsevier, vol. 101(1), pages 31-33, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luan, Bingjiang & Zou, Hong & Huang, Junbing, 2023. "Digital divide and household energy poverty in China," Energy Economics, Elsevier, vol. 119(C).

    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. Soeren C. Schwuchow, 2023. "Organized crime as a link between inequality and corruption," European Journal of Law and Economics, Springer, vol. 55(3), pages 469-509, June.
    2. Bebonchu Atems, 2020. "Identifying the Dynamic Effects of Income Inequality on Crime," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 751-782, August.
    3. Iacopo Odoardi & Carmen Pagliari, 2020. "Household Wealth as a Factor of Economic Growth: A Case Study of Italy," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 14(3), September.
    4. David Strauss & Daniel Ventosa-Santaularia, 2023. "Does r-g cause wealth inequality? The case of the United States/¿La r-g causa la desigualdad de la riqueza? El caso de Estados Unidos," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 38(2), pages 183-224.
    5. Jaejoon Woo, 2023. "The long-run determinants of redistribution: evidence from a panel of 47 countries in 1967–2014," Empirical Economics, Springer, vol. 64(4), pages 1811-1860, April.
    6. Andrew D. Foster & Mark R. Rosenzweig, 2022. "Democratization, Elite Capture and Economic Development," NBER Working Papers 29797, National Bureau of Economic Research, Inc.
    7. Korom, Philipp, 2016. "Inherited advantage: The importance of inheritance for private wealth accumulation in Europe," MPIfG Discussion Paper 16/11, Max Planck Institute for the Study of Societies.
    8. Barış Kaymak & Immo Schott, 2023. "Corporate Tax Cuts and the Decline in the Manufacturing Labor Share," Econometrica, Econometric Society, vol. 91(6), pages 2371-2408, November.
    9. Markus Brueckner & Daniel Lederman, 2018. "Inequality and economic growth: the role of initial income," Journal of Economic Growth, Springer, vol. 23(3), pages 341-366, September.
    10. Cody Hochstenbach, 2018. "Spatializing the intergenerational transmission of inequalities: Parental wealth, residential segregation, and urban inequality," Environment and Planning A, , vol. 50(3), pages 689-708, May.
    11. Blanco, Luisa & Grier, Robin, 2012. "Natural resource dependence and the accumulation of physical and human capital in Latin America," Resources Policy, Elsevier, vol. 37(3), pages 281-295.
    12. Alvaredo, Facundo & Bourguignon, François & Ferreira, Francisco H. G. & Lustig, Nora, 2023. "Seventy-five years of measuring income inequality in Latin America," LSE Research Online Documents on Economics 120557, London School of Economics and Political Science, LSE Library.
    13. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020. "Heterogeneity and Persistence in Returns to Wealth," Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
    14. Çakır, Mustafa Yavuz & Kabundi, Alain, 2013. "Trade shocks from BRIC to South Africa: A global VAR analysis," Economic Modelling, Elsevier, vol. 32(C), pages 190-202.
    15. Luis Bauluz & Yajna Govind & Filip Novokmet, 2020. "Global Land Inequality," PSE Working Papers halshs-03022318, HAL.
    16. Zachary Van Winkle & Emanuela Struffolino, 2018. "When working isn’t enough: Family demographic processes and in-work poverty across the life course in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 39(12), pages 365-380.
    17. Shinhye Chang & Rangan Gupta & Stephen M. Miller, 2018. "Causality Between Per Capita Real GDP and Income Inequality in the U.S.: Evidence from a Wavelet Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 269-289, January.
    18. Simon Halphen Boserup & Wojciech Kopczuk & Claus Thustrup Kreiner, 2018. "Born with a Silver Spoon? Danish Evidence on Wealth Inequality in Childhood," Economic Journal, Royal Economic Society, vol. 128(612), pages 514-544, July.
    19. Theo S. Eicher & Andreas Leukert, 2009. "Institutions and Economic Performance: Endogeneity and Parameter Heterogeneity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 197-219, February.
    20. Olivier Coibion & Yuriy Gorodnichenko & Dmitri Koustas, 2021. "Consumption Inequality and the Frequency of Purchases," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 449-482, October.

    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:spr:soinre:v:155:y:2021:i:3:d:10.1007_s11205-021-02632-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.