IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i18p6680-d413243.html
   My bibliography  Save this article

Does the Effect of Internet Use on Chinese Citizens’ Psychological Well-Being Differ Based on Their Hukou Category?

Author

Listed:
  • Cuihong Long

    (School of Economics, East China Normal University, Shanghai 200062, China)

  • Jiajun Han

    (School of Economics, East China Normal University, Shanghai 200062, China)

  • Chengzhi Yi

    (School of International and Public Affairs, China Institute for Urban Governance, Shanghai Jiaotong University, Shanghai 200030, China)

Abstract

This paper draws support from the 2018 wave of the China Family Panel Studies (CFPS 2018) and uses unconditional quantile regression, re-centered influence function (RIF) decomposition, linear structural equation modelling, extended regression modelling and censored regression to explore the heterogeneity of the impact of Internet use on the psychological well-being of Chinese non-agricultural and agricultural hukou holders. We find that Internet use better improves the psychological well-being of non-agricultural hukou holders, thereby widening the gap in psychological well-being between urban and rural residents in China. Through RIF decomposition, we observe that, except for the 10th quantile, the expansion effect of Internet use on the inequality in psychological well-being between agricultural and non-agricultural hukou holders is mainly reflected in the structure effect, which shows that compared to non-agricultural hukou holders, the return rate of Internet use on the psychological well-being of agricultural hukou holders is lower. Further mechanism analysis shows that using the Internet to socialize, obtain information and understand politics is more beneficial for the psychological well-being of non-agricultural hukou holders; moreover, Internet use can further exert different effects on the psychological well-being of the two groups by differently influencing their job satisfaction, government evaluation, and sleep quality. This study also confirms that relying only on external scientific and technological progress has a limited corrective effect on existing inequalities.

Suggested Citation

  • Cuihong Long & Jiajun Han & Chengzhi Yi, 2020. "Does the Effect of Internet Use on Chinese Citizens’ Psychological Well-Being Differ Based on Their Hukou Category?," IJERPH, MDPI, vol. 17(18), pages 1-21, September.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6680-:d:413243
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/18/6680/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/18/6680/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Taryn Dinkelman, 2011. "The Effects of Rural Electrification on Employment: New Evidence from South Africa," American Economic Review, American Economic Association, vol. 101(7), pages 3078-3108, December.
    2. L. Martin & N. Omrani, 2015. "An assessment of trends in technology use, innovative work practices and employees' attitudes in Europe," Applied Economics, Taylor & Francis Journals, vol. 47(6), pages 623-638, February.
    3. Paul Frijters & David Johnston & Manisha Shah & Michael Shields, 2013. "Intrahousehold Resource Allocation: Do Parents Reduce or Reinforce Child Ability Gaps?," Demography, Springer;Population Association of America (PAA), vol. 50(6), pages 2187-2208, December.
    4. Junfeng Jiang & Peigang Wang, 2020. "Is Linking Social Capital More Beneficial to the Health Promotion of the Poor? Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 45-71, January.
    5. Yiwen Zhang & Junfeng Jiang, 2019. "Social Capital and Health in China: Evidence from the Chinese General Social Survey 2010," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 411-430, February.
    6. Jiafeng Gu & Ruiyu Zhu, 2020. "Social Capital and Self-Rated Health: Empirical Evidence from China," IJERPH, MDPI, vol. 17(23), pages 1-15, December.
    7. Castellacci, Fulvio & Tveito, Vegard, 2018. "Internet use and well-being: A survey and a theoretical framework," Research Policy, Elsevier, vol. 47(1), pages 308-325.
    8. Meital Rosenberg & Daniel Erian Armanios & Michaël Aklin & Paulina Jaramillo, 2020. "Evidence of gender inequality in energy use from a mixed-methods study in India," Nature Sustainability, Nature, vol. 3(2), pages 110-118, February.
    9. Liu, Zhiqiang, 2005. "Institution and inequality: the hukou system in China," Journal of Comparative Economics, Elsevier, vol. 33(1), pages 133-157, March.
    10. Haiyang Lu & Peishan Tong & Rong Zhu, 2020. "Does Internet Use Affect Netizens’ Trust in Government? Empirical Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 167-185, May.
    11. Liu, Jindian & Cheng, Mingwang & Wei, Xinyu & Yu, Ning Neil, 2020. "The Internet-driven sexual revolution in China," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    12. Meng, Xin & Zhang, Junsen, 2001. "The Two-Tier Labor Market in Urban China: Occupational Segregation and Wage Differentials between Urban Residents and Rural Migrants in Shanghai," Journal of Comparative Economics, Elsevier, vol. 29(3), pages 485-504, September.
    13. Fernando Rios-Avila, 2020. "Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition," Stata Journal, StataCorp LP, vol. 20(1), pages 51-94, March.
    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. Qinliang Liu & Xiaojing Li, 2021. "The Interactions of Media Use, Obesity, and Suboptimal Health Status: A Nationwide Time-Trend Study in China," IJERPH, MDPI, vol. 18(24), pages 1-14, December.
    2. Wang, Mengmeng & Zhou, Tao, 2023. "Does smart city implementation improve the subjective quality of life? Evidence from China," Technology in Society, Elsevier, vol. 72(C).
    3. Longjunjiang Huang & Xian Liang & Lishan Li & Hui Xiao & Fangting Xie, 2023. "The Impact of Internet Use on the Well-Being of Rural Residents," Agriculture, MDPI, vol. 13(7), pages 1-18, July.

    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. Alice Tianbo Zhang & Sasmita Patnaik & Shaily Jha & Shalu Agrawal & Carlos F. Gould & Johannes Urpelainen, 2022. "Evidence of multidimensional gender inequality in energy services from a large-scale household survey in India," Nature Energy, Nature, vol. 7(8), pages 698-707, August.
    2. Qian Liu & Haimin Pan, 2020. "Investigation on Life Satisfaction of Rural-to-Urban Migrant Workers in China: A Moderated Mediation Model," IJERPH, MDPI, vol. 17(7), pages 1-14, April.
    3. Liao, Yu & Zhang, Junfu, 2021. "Hukou status, housing tenure choice and wealth accumulation in urban China," China Economic Review, Elsevier, vol. 68(C).
    4. Liping Liao & Wenjie Wu & Chenglei Zhang, 2022. "Housing prices and the subjective well-being of migrant workers: evidence from China," Journal of Happiness Studies, Springer, vol. 23(7), pages 3363-3388, October.
    5. Qi He & Hong Fang & Han Ji & Siran Fang, 2017. "Environmental Inequality in China: A “Pyramid Model” and Nationwide Pilot Analysis of Prefectures with Sources of Industrial Pollution," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    6. Pradhan Shrestha, Rosy & Jirakiattikul, Sopin & Lohani, Sunil Prasad & Shrestha, Mandip, 2023. "Perceived impact of electricity on productive end use and its reality: Transition from electricity to income for rural Nepalese women," Energy Policy, Elsevier, vol. 183(C).
    7. Xin Meng & Chris Manning & Li Shi & Tadjuddin Nur Effendi (ed.), 2010. "The Great Migration," Books, Edward Elgar Publishing, number 13619.
    8. Ayako Kondo & Dongshu Ou, 2010. "In Search of a Better Life: The Occupational Attainment of Rural and Urban Migrants in China," ISER Discussion Paper 0793, Institute of Social and Economic Research, Osaka University.
    9. Lingpeng Meng & Xiang Yu & Chuanfeng Han & Pihui Liu, 2022. "Does Internet Use Aggravate Public Distrust of Doctors? Evidence from China," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    10. Dreger, Christian & Zhang, Yanqun, 2017. "The Hukou Impact on the Chinese Wage Structure," IZA Discussion Papers 10720, Institute of Labor Economics (IZA).
    11. Xuhong Su & Kelan Lu & Xiangming Hu & Yuqiong Xiang, 2019. "Reforms on county-level fiscal governance in China: impact on urban-rural income inequality," International Review of Public Administration, Taylor & Francis Journals, vol. 24(2), pages 81-100, April.
    12. Zheng, Shilin & Duan, Yuwei & Ward, Michael R., 2019. "The effect of broadband internet on divorce in China," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 99-114.
    13. Thomas Bolli & Filippo Pusterla, 2022. "Decomposing the effects of digitalization on workers’ job satisfaction," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 263-300, June.
    14. Ma, Chunbo, 2010. "Who bears the environmental burden in China--An analysis of the distribution of industrial pollution sources?," Ecological Economics, Elsevier, vol. 69(9), pages 1869-1876, July.
    15. Du, Yang & Park, Albert & Wang, Sangui, 2005. "Migration and rural poverty in China," Journal of Comparative Economics, Elsevier, vol. 33(4), pages 688-709, December.
    16. Pamela Lenton & Lu Yin, 2016. "The Educational Success of China’s Young Generation of Rural-to-Urban Migrants," Working Papers 2016007, The University of Sheffield, Department of Economics.
    17. Catherine Wolfram & Orie Shelef & Paul Gertler, 2012. "How Will Energy Demand Develop in the Developing World?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 119-138, Winter.
    18. , Diego, 2017. "The Natural and Infrastructural Capital Elements of Potential Post-Electrification Wealth Creation in Kenya," SocArXiv ddnhz, Center for Open Science.
    19. Fisher-Vanden, Karen & Mansur, Erin T. & Wang, Qiong (Juliana), 2015. "Electricity shortages and firm productivity: Evidence from China's industrial firms," Journal of Development Economics, Elsevier, vol. 114(C), pages 172-188.
    20. McCauley, Darren & Pettigrew, Kerry, 2023. "Building a just transition in asia-pacific: Four strategies for reducing fossil fuel dependence and investing in clean energy," Energy Policy, Elsevier, vol. 183(C).

    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:jijerp:v:17:y:2020:i:18:p:6680-:d:413243. 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.