Does the use of the internet enhance residents’ well-being?—Evidence from China
Vol 9, Issue 3, 2024, Article identifier:
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Abstract
Using data from the 2018 Chinese General Social Survey (CGSS), this study empirically examined the impact of Chinese residents’ Internet use on their subjective well-being. The results show that Internet use significantly increases residents’ subjective well-being; the results of the marginal effect show that the increase in Internet use increases the probability of residents choosing “Relatively happy” and “Extremely happy”; further analysis shows that Internet use increases the probability of residents choosing “Relatively happy” and “Extremely happy” through the marginal effect. “Moreover, in the heterogeneity analysis, Internet use significantly increases the subjective happiness of middle-aged people aged 35–60, and increases the subjective happiness of low-education and low-income groups, while rural residents have higher subjective well-being from Internet use relative to urban residents. This study mitigates the estimation bias that may be caused by the sample self-selection problem through propensity score matching (PSM), and conducts a series of robustness tests on the empirical results. Therefore, the government should emphasize the role of Internet use in enhancing residents’ happiness and promoting the happiness effect of Internet use by further improving Internet infrastructure and upgrading residents’ Internet use skills.
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1. Lu J, Li Q. The Impact of Internet Use on the Life Satisfaction of the Elderly in China: Based on CLASS 2018 Data. Northwest Population Journal. 2022, 43(5). doi: 10.15884/j.cnki.issn.1007-0672.2022.05.001
2. Castellacci F, Tveito V. Internet use and well-being: A survey and a theoretical framework. Research Policy. 2018, 47(1): 308-325. doi: 10.1016/j.respol.2017.11.007
3. Sun Y, Gao J, Zhang X, et al. The impact of internet use on residents’ happiness in China. Frontiers in Public Health. 2023, 11. doi: 10.3389/fpubh.2023.1188259
4. Güzel N, Kahveci İ, Solak N, et al. Internet addiction and its impact on physical health. Turkish Medical Student Journal. 2018, 32-36. doi: 10.4274/tmsj.2018.05.03.0002
5. Lachmann B, Sariyska R, Kannen C, et al. Life satisfaction and problematic Internet use: Evidence for gender specific effects. Psychiatry Research. 2016, 238: 363-367. doi: 10.1016/j.psychres.2016.02.017
6. McDool E, Powell P, Roberts J, et al. The internet and children’s psychological wellbeing. Journal of Health Economics. 2020, 69: 102274. doi: 10.1016/j.jhealeco.2019.102274
7. Voukelatou V, Gabrielli L, Miliou I, et al. Measuring objective and subjective well-being: dimensions and data sources. International Journal of Data Science and Analytics. 2020, 11(4): 279-309. doi: 10.1007/s41060-020-00224-2
8. Diener E. Subjective well-being. Psychological Bulletin. 1984, 95(3): 542-575. doi: 10.1037/0033-2909.95.3.542
9. Yang H, Wu Y, Lin X, et al. Internet Use, Life Satisfaction, and Subjective Well-Being Among the Elderly: Evidence From 2017 China General Social Survey. Frontiers in Public Health. 2021, 9. doi: 10.3389/fpubh.2021.677643
10. EASTERLIN RA. Does Economic Growth Improve the Human Lot? Some Empirical Evidence. Nations and Households in Economic Growth. Published online 1974: 89-125. doi: 10.1016/b978-0-12-205050-3.50008-7
11. Deaton A. The financial crisis and the well-being of Americans: 2011 OEP Hicks Lecture*. Oxford Economic Papers. 2011, 64(1): 1-26. doi: 10.1093/oep/gpr051
12. Cuñado J, de Gracia FP. Environment and Happiness: New Evidence for Spain. Social Indicators Research. 2012, 112(3): 549-567. doi: 10.1007/s11205-012-0038-4
13. Childs E. Religious Attendance and Happiness: Examining Gaps in the Current Literature-A Research Note. Journal for the Scientific Study of Religion. 2010, 49(3): 550-560. doi: 10.1111/j.1468-5906.2010.01528.x
14. Dorn D, Fischer JAV, Kirchgässner G, et al. Is It Culture or Democracy? The Impact of Democracy and Culture on Happiness. Social Indicators Research. 2006, 82(3): 505-526. doi: 10.1007/s11205-006-9048-4
15. Bittmann F. Beyond the U-Shape: Mapping the Functional Form Between Age and Life Satisfaction for 81 Countries Utilizing a Cluster Procedure. Journal of Happiness Studies. 2020, 22(5): 2343-2359. doi: 10.1007/s10902-020-00316-7
16. Tesch-Römer C, Motel-Klingebiel A, Tomasik MJ. Gender Differences in Subjective Well-Being: Comparing Societies with Respect to Gender Equality. Social Indicators Research. 2007, 85(2): 329-349. doi: 10.1007/s11205-007-9133-3
17. Binder M, Coad A. Heterogeneity in the Relationship Between Unemployment and Subjective Wellbeing: A Quantile Approach. Economica. 2015, 82(328): 865-891. doi: 10.1111/ecca.12150
18. Herman KM, Hopman WM, Rosenberg MW. Self-rated health and life satisfaction among Canadian adults: associations of perceived weight status versus BMI. Quality of Life Research. 2013, 22(10): 2693-2705. doi: 10.1007/s11136-013-0394-9
19. Haller M, Hadler M. How Social Relations and Structures can Produce Happiness and Unhappiness: An International Comparative Analysis. Social Indicators Research. 2006, 75(2): 169-216. doi: 10.1007/s11205-004-6297-y
20. Wu Y, Wu Y, Zhang Y, et al. The Effect of Building Electricity Consumption on Residents’ Subjective Well-Being: Evidence from China. Buildings. 2022, 12(6): 710. doi: 10.3390/buildings12060710
21. Alshakhsi S, Chemnad K, Almourad MB, et al. Problematic internet usage: The impact of objectively recorded and categorized usage time, emotional intelligence components and subjective happiness about usage. Heliyon. 2022, 8(10): e11055. doi: 10.1016/j.heliyon.2022.e11055
22. Nakagomi A, Shiba K, Kawachi I, et al. Internet use and subsequent health and well-being in older adults: An outcome-wide analysis. Computers in Human Behavior. 2022, 130: 107156. doi: 10.1016/j.chb.2021.107156
23. Shapira N, Barak A, Gal I. Promoting older adults’ well-being through Internet training and use. Aging & Mental Health. 2007, 11(5): 477-484. doi: 10.1080/13607860601086546
24. Anderson-Bill ES, Winett RA, Wojcik JR. Social Cognitive Determinants of Nutrition and Physical Activity Among Web-Health Users Enrolling in an Online Intervention: The Influence of Social Support, Self-Efficacy, Outcome Expectations, and Self-Regulation. Journal of Medical Internet Research. 2011, 13(1): e28. doi: 10.2196/jmir.1551
25. Kavetsos G, Koutroumpis P. Technological affluence and subjective well-being. Journal of Economic Psychology. 2011, 32(5): 742-753. doi: 10.1016/j.joep.2011.05.004
26. Sabatini F, Sarracino F. Online Networks and Subjective Well‐Being. Kyklos. 2017, 70(3): 456-480. doi: 10.1111/kykl.12145
27. Stead H, Bibby PA. Personality, fear of missing out and problematic internet use and their relationship to subjective well-being. Computers in Human Behavior. 2017, 76: 534-540. doi: 10.1016/j.chb.2017.08.016
28. Kim J, LaRose R, Peng W. Loneliness as the Cause and the Effect of Problematic Internet Use: The Relationship between Internet Use and Psychological Well-Being. CyberPsychology & Behavior. 2009, 12(4): 451-455. doi: 10.1089/cpb.2008.0327
29. Martin L, Omrani N. An assessment of trends in technology use, innovative work practices and employees’ attitudes in Europe. Applied Economics. 2014, 47(6): 623-638. doi: 10.1080/00036846.2014.978072
30. Guo X, Lu Q, Wang J. Internet Use and Young People’s Well-being: An Analysis of the mesmeric effect Based on Social Networks. China Youth Study. 2020, (6). doi: 10.19633/j.cnki.11-2579/d.2020.0079
31. Diener E, Suh EM, Lucas RE, et al. Subjective well-being: Three decades of progress. Psychological Bulletin. 1999, 125(2): 276-302. doi: 10.1037/0033-2909.125.2.276
32. Sun Z, Wu Y, Sun H, et al. The Impact of Building Clean Energy Consumption on Residents’ Subjective Well-Being: Evidence from China. Buildings. 2022, 12(11): 2037. doi: 10.3390/buildings12112037
33. İmrohoroğlu A, Zhao K. Rising wealth inequality: Intergenerational links, entrepreneurship, and the decline in interest rate. Journal of Monetary Economics. 2022, 127: 86-104. doi: 10.1016/j.jmoneco.2022.02.005
34. Ma J, Yue Z. A Study on the Impact of Internet Use on the Happiness of Rural Residents. The World of Survey and Research. 2019, (8). doi: 10.13778/j.cnki.11-3705/c.2019.08.002
35. Sønderskov KM, Dinesen PT. Trusting the State, Trusting Each Other? The Effect of Institutional Trust on Social Trust. Political Behavior. 2015, 38(1): 179-202. doi: 10.1007/s11109-015-9322-8
36. Jing R, Jin G, Guo Y, et al. The association between constant and new Internet use and depressive symptoms among older adults in China: The role of structural social capital. Computers in Human Behavior. 2023, 138: 107480. doi: 10.1016/j.chb.2022.107480
37. Xu S, Liu C. Social Network, Internet Use and Rural Residents’ Well-Being. The World of Survey and Research. 2022, (6). doi: 10.13778/j.cnki.11-3705/c.2022.06.006
38. Pang Z, Zeng M. Does Internet Use Affect Youth’s Subjective Well-Being ? Based on the Data of 2010–2015 (CGSS). Journal of Xi’an University of Finance and Economics. 2020, 33. doi: 10.19331/j.cnki.jxufe.2020.03.009
39. Hayes AF. Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium. Communication Monographs. 2009, 76(4): 408-420. doi: 10.1080/03637750903310360
40. Mehmetoglu M. Medsem: A stata package for statistical mediation analysis. International Journal of Computational Economics and Econometrics. 2018, 8(1): 63. doi: 10.1504/ijcee.2018.088321
DOI: https://doi.org/10.54517/esp.v9i3.1778
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