Digitalization in China: who’s left behind?

References

• Au, A. (2022). Guanxi in an age of digitalization: Toward assortation and value homophily in new tie-formation. The Journal of Chinese Sociology, 9(1), 1–19. https://doi.org/10.1186/s40711-021-00160-z
   Google Scholar
• Bian, Y., & Ikeda, K. (2018). East Asian social networks. In R. Alhajj & J. Rokne (Eds.), Encyclopedia of social network analysis and mining (2nd ed., pp. 1–22). Springer.
   Google Scholar
• Bian, Y., & Li, L. (2012). The Chinese general social survey (2003-8) sample designs and data evaluation. Chinese Sociological Review, 45(1), 70–97. https://doi.org/10.2753/CSA2162-0555450104
   Web of Science ®Google Scholar
• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
   Google Scholar
• Castellacci, F., & Viñas-Bardolet, C. (2019). Internet use and job satisfaction. Computers in Human Behavior, 90, 141–152. https://doi.org/10.1016/j.chb.2018.09.001
   Web of Science ®Google Scholar
• Chan, L. (2021). The politics of dating apps: Gender, sexuality, and emergent publics in urban China. Massachusetts Institute of Technology Press.
   Google Scholar
• Chen, C., LeGates, R., Zhao, M., & Fang, C. (2018). The changing rural-urban divide in China’s megacities. Cities, 81, 81–90. https://doi.org/10.1016/j.cities.2018.03.017
   Web of Science ®Google Scholar
• China Statistics Press. (2020). 2020 China statistical yearbook. National Bureau of Statistics of China.
   Google Scholar
• Cotten, S. (2017). Examining the roles of technology in aging and quality of life. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 72(5), 823–826. https://doi.org/10.1093/geronb/gbx109
   PubMed Web of Science ®Google Scholar
• De Best, R. (2021). Users of Alipay and WeChat Pay in China in 2020, with forecasts to 2025. Statista.
   Google Scholar
• Denzer, M., Schank, T., & Upward, R. (2021). Does the internet increase the job finding rate? Evidence from a period of expansion in internet use. Information Economics and Policy, 55, Article 100900. https://doi.org/10.1016/j.infoecopol.2020.100900
   Web of Science ®Google Scholar
• Dribe, M., & Karlsson, O. (2022). Inequality in early life: Social class differences in childhood mortality in southern Sweden, 1815–1967. The Economic History Review, 75(2), 475–502. https://doi.org/10.1111/ehr.13089
   Web of Science ®Google Scholar
• Gao, G., & Sai, L. (2020). Towards a ‘virtual’ world: Social isolation and struggles during the COVID-19 pandemic as single women living alone. Gender, Work & Organization, 27(5), 754–762. https://doi.org/10.1111/gwao.12468
   PubMed Web of Science ®Google Scholar
• Gao, Q., Wang, H., Mo, D., Shi, Y., Kenny, K., & Rozelle, S. (2018). Can reading programs improve reading skills and academic performance in rural China? China Economic Review, 52, 111–125. https://doi.org/10.1016/j.chieco.2018.07.001
   Web of Science ®Google Scholar
• Greiffenhagen, C., Li, R., & Llewellyn, N. (2022). The visibility of digital money: A video study of mobile payments using WeChat Pay. Sociology, 57(3), 493–515.
   Google Scholar
• Gürtzgen, N., Diegmann, A., Pohlan, L., & van den Berg, G. (2021). Do digital information technologies help unemployed job seekers find a job? Evidence from the broadband internet expansion in Germany. European Economic Review, 132, Article 103657. https://doi.org/10.1016/j.euroecorev.2021.103657
   Web of Science ®Google Scholar
• Harari, G., Müller, S., Stachl, C., Wang, R., Wang, W., Bühner, M., Rentfrow, P., Campbell, A. T., & Gosling, S. (2020). Sensing sociability: Individual differences in young adults’ conversation, calling, texting, and app use behaviors in daily life. Journal of Personality and Social Psychology, 119(1), 204–228. https://doi.org/10.1037/pspp0000245
   PubMed Web of Science ®Google Scholar
• Hargittai, E., & Dobransky, K. (2017). Old dogs, new clicks: Digital inequality in skills and uses among older adults. Canadian Journal of Communication, 42(2), 195–212. https://doi.org/10.22230/cjc.2017v42n2a3176
   Web of Science ®Google Scholar
• Hasan, M., Yajuan, L., & Khan, S. (2022). Promoting China’s inclusive finance through digital financial services. Global Business Review, 23(4), 984–1006. https://doi.org/10.1177/0972150919895348
   Web of Science ®Google Scholar
• Hunsaker, A., & Hargittai, E. (2018). A review of Internet use among older adults. New Media & Society, 20(10), 3937–3954. https://doi.org/10.1177/1461444818787348
   Web of Science ®Google Scholar
• Imai, K., Keele, L., & Tingley, D. (2010). A general approach to causal mediation analysis. Psychological Methods, 15(4), 309. https://doi.org/10.1037/a0020761
   PubMed Web of Science ®Google Scholar
• Jiang, J., & Song, J. (2022). Health consequences of online social capital among middle-aged and older adults in China. Applied Research in Quality of Life, 17, 2277–2297.
   PubMed Web of Science ®Google Scholar
• Lewin, C., & McNicol, S. (2015). Supporting the development of 21st century skills through ICT. In T. Brinda, N. Reynolds, R. Romeike, & A. Schwill (Eds.), KEYCIT 2014: Key competencies in informatics and ICT (pp. 98–181). Universitätsverlag Potsdam.
   Google Scholar
• Li, Y., Tan, J., Wu, B., & Yu, J. (2022). Does digital finance promote entrepreneurship of migrant? Evidence from China. Applied Economics Letters, 29(19), 1829–1832. https://doi.org/10.1080/13504851.2021.1963404
   Web of Science ®Google Scholar
• Olphert, W., & Damodaran, L. (2013). Older people and digital disengagement: A fourth digital divide? Gerontology, 59(6), 564–570. https://doi.org/10.1159/000353630
   PubMed Web of Science ®Google Scholar
• Organisation for Economic Co-operation and Development (OECD). (2021). OECD skills outlook 2021. Organisation for Economic Co-operation and Development.
   Google Scholar
• Pick, J., Sarkar, A., & Johnson, J. (2015). United States digital divide: State level analysis of spatial clustering and multivariate determinants of ICT utilization. Socio-Economic Planning Sciences, 49, 16–32. https://doi.org/10.1016/j.seps.2014.09.001
   Web of Science ®Google Scholar
• Reisdorf, B., & Groselj, D. (2017). Internet (non-)use types and motivational access: Implications for digital inequalities research. New Media & Society, 19(8), 1157–1176. https://doi.org/10.1177/1461444815621539
   Web of Science ®Google Scholar
• Riedl, M., & Geishecker, I. (2014). Keep it simple: Estimation strategies for ordered response models with fixed effects. Journal of Applied Statistics, 41(11), 2358–2374. https://doi.org/10.1080/02664763.2014.909969
   Web of Science ®Google Scholar
• Rui, J., Yu, N., Xu, Q., & Cui, X. (2019). Getting connected while aging: The effects of WeChat network characteristics on the well-being of Chinese mature adults. Chinese Journal of Communication, 12(1), 25–43. https://doi.org/10.1080/17544750.2018.1530270
   Web of Science ®Google Scholar
• Seeberg, V., & Luo, S. (2018). Migrating to the City in North West China: young rural women’s empowerment. Journal of Human Development and Capabilities, 19(3), 289–307. https://doi.org/10.1080/19452829.2018.1430752
   Web of Science ®Google Scholar
• Song, J., & Jiang, J. (2021). Online social capital, offline social capital and health: Evidence from China. Health & Social Care in the Community 30(4), e1025–e1036.
   PubMed Web of Science ®Google Scholar
• Song, Q., & Smith, J. (2019). Hukou system, mechanisms, and health stratification across the life course in rural and urban China. Health & Place, 58, 102150. https://doi.org/10.1016/j.healthplace.2019.102150
   PubMed Web of Science ®Google Scholar
• Song, Q., & Smith, J. (2021). The citizenship advantage in psychological well-being: An examination of the Hukou system in China. Demography, 58(1), 165–189. https://doi.org/10.1215/00703370-8913024
   PubMed Web of Science ®Google Scholar
• Textor, C. (2022). Monthly minimum wage in China as of January 2022, by region. Statista.
   Google Scholar
• Tonoyan, V., Strohmeyer, R., & Jennings, J. E. (2020). Gender gaps in perceived start-up ease: Implications of sex-based labor market segregation for entrepreneurship across 22 European countries. Administrative Science Quarterly, 65(1), 181–225. https://doi.org/10.1177/0001839219835867
   Web of Science ®Google Scholar
• Tuck, A., & Thompson, R. (2021). Social networking site use during the COVID-19 pandemic and its associations with social and emotional well-being in college students: Survey study. JMIR Formative Research, 5(9), Article e26513. https://doi.org/10.2196/26513
   PubMedGoogle Scholar
• Twenge, J., Spitzberg, B., & Campbell, W. (2019). Less in-person social interaction with peers among U.S. adolescents in the 21st century and links to loneliness. Journal of Social and Personal Relationships, 36(6), 1892–1913. https://doi.org/10.1177/0265407519836170
   Web of Science ®Google Scholar
• van Laar, E., van Deursen, A., van Dijk, J., & de Haan, J. (2020). Determinants of 21st-century skills and 21st-century digital skills for workers: A systematic literature review. Sage Open, 10(1), Article 2158244019900176. https://doi.org/10.1177/2158244019900176
   Web of Science ®Google Scholar
• Wang, H., & Cheng, Z. (2021). Mama loves you: The gender wage gap and expenditure on children’s education in China. Journal of Economic Behavior & Organization, 188, 1015–1034. https://doi.org/10.1016/j.jebo.2021.06.031
   Web of Science ®Google Scholar
• Wang, J., Tigelaar, D., & Admiraal, W. (2021). Rural teachers’ sharing of digital educational resources: From motivation to behavior. Computers & Education, 161, Article 104055.
   Web of Science ®Google Scholar
• Williams, R. (2022). Social Networking Services (SNS) in education. Asian Journal of Advanced Research and Reports, 17(1), 1–4.
   Google Scholar
• Wu, Y., & Qi, D. (2017). A gender-based analysis of multidimensional poverty in China. Asian Journal of Women’s Studies, 23(1), 66–88. https://doi.org/10.1080/12259276.2017.1279886
   Web of Science ®Google Scholar
• Yin, Z., Gong, X., Guo, P., & Wu, T. (2019). What drives entrepreneurship in digital economy? Evidence from China. Economic Modelling, 82, 66–73. https://doi.org/10.1016/j.econmod.2019.09.026
   Web of Science ®Google Scholar
• Zhang, J., Wang, R., & Lu, C. (2019). A quantitative analysis of Hukou reform in Chinese cities: 2000–2016. Growth and Change, 50(1), 201–221. https://doi.org/10.1111/grow.12284
   Web of Science ®Google Scholar
• Zhang, W. (2022). Average sale price of residential real estate in China in 2020, by region. Statista.
   Google Scholar
• Zhong, S., Wang, M., Zhu, Y., Chen, Z., & Huang, X. (2022). Urban expansion and the urban–rural income gap: Empirical evidence from China. Cities, 129, Article 103831.
   Web of Science ®Google Scholar
• Zhou, J. (2019). Let us meet online! Examining the factors influencing older Chinese’s social networking site use. Journal of Cross-Cultural Gerontology, 34(1), 35–49. https://doi.org/10.1007/s10823-019-09365-9
   PubMed Web of Science ®Google Scholar