Exploring the Effect of Internet Usage on the Urban Rural Income Gap: Empirical Evidence from China

An, T. L., & Yang, C. (2020). How the Internet is reshaping China’s economic geography: micro mechanism and macro effects. Economic Research Journal, 55(02): 4-19. (In Chinese).Search in Google Scholar

Arvin, M. B., Pradhan, R. P., & Nair, M. (2021). Uncovering interlinks among ICT connectivity and penetration, trade openness, foreign direct investment, and economic growth: The case of the G-20 countries. Telematics and Informatics, 60, 101567. https://doi.org/10.1016/j.tele.2021.101567Search in Google Scholar

Asongu S. A., & Odhiambo N. M. (2019). How enhancing information and communication technology has affected inequality in Africa for sustainable development: An empirical investigation. Sustainable Development, 27(4), 647–656. https://doi.org/10.1002/sd.1929Search in Google Scholar

Bauer, J. M. (2018). The Internet and income inequality: Socio-economic challenges in a hyperconnected society. Telecommunications Policy, 42(4), 333-343. https://doi.org/10.1016/j.telpol.2017.05.009Search in Google Scholar

Blinder A. S. (1973). Wage discrimination: Reduced form and structural estimates. Journal of Human Resources (8): 436–455. https://doi.org/10.2307/144855Search in Google Scholar

Braesemann, F., Lehdonvirta, V., & Kässi, O. (2022). ICTs and the urban-rural divide: can online labour platforms bridge the gap? Information, Communication & Society, 25(1), 34-54. https://doi.org/10.1080/1369118X.2020.1761857Search in Google Scholar

Canh, N. P., Schinckus, C., Thanh, S. D., & Ling, F. C. H. (2020). Effects of the internet, mobile, and land phones on income inequality and The Kuznets curve: Cross country analysis. Telecommunications Policy, 44(10), 102041. https://doi.org/10.1016/j.telpol.2020.102041Search in Google Scholar

Caroline L Freund, & Diana Weinhold. (2004). The effect of the Internet on international trade. Journal of International Economics, 62(1). https://doi.org/10.1016/S0022-1996(03)00059-XSearch in Google Scholar

Cheng, M., & Zhang, J. (2019). Internet popularization and urban-rural income gap: a theoretical and empirical analysis. China Rural Economy, (02):19-41. (In Chinese).Search in Google Scholar

China Internet Network Information Center. (2022). The 50th Statistical Report on China’s Internet Development. http://www3.cnnic.cn/n4/2022/0914/c88-10226.html.Search in Google Scholar

Colas, M., & Ge, S. (2019). Transformations in China’s internal labor migration and hukou system. Journal of Labor Research, 40(3), 296-331. https://doi.org/10.1007/s12122-019-9283-5Search in Google Scholar

Donzuso, N. N. (2015). ‘Equality of opportunities’ in education for migrant children in China. Global Social Welfare, 2(1), 9-13. https://doi.org/10.1007/s40609-014-0012-ySearch in Google Scholar

Fang, X. D., & Chen, S. (2019). 25 years of the Internet in China. Modern Communication, 41(04): 1-10. (In Chinese).Search in Google Scholar

Fernando, & Rios-Avila. (2020). Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition. The Stata Journal, 20(1), 51-94. https://doi.org/10.1177/1536867X20909690Search in Google Scholar

Firpo, S. P., Fortin, N. M., & Lemieux, T. (2018). Decomposing wage distributions using recentered influence function regressions. Econometrics, 6(2), 28. https://doi.org/10.3390/econometrics6020028Search in Google Scholar

Firpo, S., Fortin, N. M., & Lemieux, T. (2009). Unconditional quantile regressions. Econometrica, 77(3), 953-973. https://doi.org/10.3982/ECTA6822Search in Google Scholar

Fong, M. W. (2009). Digital divide between urban and rural regions in China. The Electronic Journal of Information Systems in Developing Countries, 36(1), 1-12. https://doi.org/10.1002/j.1681-4835.2009.tb00253.xSearch in Google Scholar

Glasmeier, A. K. (2018). Income inequality and growing disparity: Spatial patterns of inequality and the case of the USA. The new Oxford handbook of economic geography, 63-77. https://doi.org/10.1093/oxfordhb/9780198755609.013.3Search in Google Scholar

Gong, X., Zhang, J., Zhang, H., Cheng, M., Wang, F., & Yu, N. (2020). Internet use encourages pro-environmental behavior: Evidence from China. Journal of Cleaner Production, 256, 120725. https://doi.org/10.1016/j.jclepro.2020.120725Search in Google Scholar

GSMA intelligence. (2021). The Mobile Economy China 2021. https://www.gsma.com.Search in Google Scholar

Han, L., Shi, L., Lu, L., & Ling, L. (2014). Work ability of Chinese migrant workers: the influence of migration characteristics. BMC Public Health, 14(1), 1-8. https://doi.org/10.1186/1471-2458-14-353Search in Google Scholar

Krueger, A. B. (1993). How computers have changed the wage structure: evidence from microdata, 1984–1989. The Quarterly Journal of Economics, 108(1), 33-60. https://doi.org/10.2307/2118494Search in Google Scholar

Lakhanpal, P., Mukherjee, J., Nag, B., & Tuteja, D. (2021). Trade, Investment and Economic Growth. Springer, Singapore.Search in Google Scholar

Liu, S. L., Zhang, X. M., & Yang, Z. S. (2021). Impact of internet usage on rural residents’ income. Journal of Quantitative and Technical Economics, 38 (04):103-119. (In Chinese).Search in Google Scholar

Liu, Z. (2005). Institution and inequality: the hukou system in China. Journal of comparative economics, 33(1), 133-157. https://doi.org/10.1016/j.jce.2004.11.001Search in Google Scholar

Loges, W. E., & Jung, J. Y. (2001). Exploring the digital divide: Internet connectedness and age. Communication research, 28(4), 536-562. https://doi.org/10.1177/009365001028004007Search in Google Scholar

Luo, L. X., & Lin, Z. W. (2020) Development Tendency of Double-Layer Digital Divide in Mainland China: A Longitudinal Study Based on Perspective of Group Segmentation. In International Development Informatics Association Conference (pp.170-185). Springer, Cham. https://doi.org/10.1007/978-3-030-52014-4_12Search in Google Scholar

Ma, X. (2022). Internet usage and gender wage gap: evidence from China. Journal for Labour Market Research, 56(1), 1-17. https://doi.org/10.1186/s12651022003209Search in Google Scholar

Ma, X. (2022). Internet use and income gaps between rural and urban residents in China. Journal of the Asia Pacific Economy, 1-21. https://doi.org/10.1080/13547860.2022.2054133Search in Google Scholar

Maddala, G. S. (1986). Limited-dependent and qualitative variables in econometrics (No. 3). Cambridge university press.Search in Google Scholar

Maiti, D., Castellacci, F., & Melchior, A. (2020). Digitalisation and development: issues for India and beyond. In Digitalisation and Development (pp. 3-29). Springer, Singapore. https://doi.org/10.1007/978-981-13-9996-1_1Search in Google Scholar

Mao, Y. F.., Hu, W. X., & Zeng, X. Q. (2021). Expanding or Narrowing: The Impact of internet usage on Household Wage Gap-Empirical Evidence Based on CGSS Data. Collected Essays on Finance and Economics, 269(2), 3. (In Chinese).Search in Google Scholar

Matthess, M., & Kunkel, S. (2020). Structural change and digitalization in developing countries: Conceptually linking the two transformations. Technology in society, 63, 101428. https://doi.org/10.1016/j.techsoc.2020.101428Search in Google Scholar

Mincer, J. (1974) Schooling, experience and earnings. Columbia University Press, New York.Search in Google Scholar

Mincer, J. (1997) Changes in wage inequality: 1970-1990. Research in Labor Economics. 16(1), 1-18. https://doi.org/10.7916/D8F76M3JSearch in Google Scholar

National Bureau of Statistics of China. (2022). Income and consumer spending of the population in 2021. http://www.stats.gov.cn/xxgk/sjfb/zxfb2020/202201/t20220117_1826442.htmlSearch in Google Scholar

Ningsih, C., & Choi, Y. J. (2018). An effect of internet penetration on income inequality in Southeast Asian countries. https://doi.org/10.52558/ism.2019.12.20.3.121Search in Google Scholar

Oaxaca, R. (1973). Male–female wage differentials in urban labor markets. International Economic Review, 14: 693–709. https://doi.org/10.2307/2525981Search in Google Scholar

Official Website of the Central Government of China. (2022). http://www.gov.cn/xinwen/2022-08/22/content_5706298.Search in Google Scholar

Rosenbaum, P. R., Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. https://doi.org/10.1093/biomet/70.1.41Search in Google Scholar

Shipman, J. E., Swanquist, Q. T., & Whited, R. L. (2017). Propensity score matching in accounting research. The Accounting Review, 92(1), 213-244. https://doi.org/10.2308/accr-51449Search in Google Scholar

Song, Q., & Smith, J. P. (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.2019.102150Search in Google Scholar

Song, Y. (2014). What should economists know about the current Chinese hukou system? China Economic Review, 29, 200-212. https://doi.org/10.1016/j.chieco.2014.04.012Search in Google Scholar

Van Deursen, A. J., Helsper, E., Eynon, R., & Van Dijk, J. A. (2017). The compoundness and sequentiality of digital inequality. International Journal of Communication, 11, 452-473. https://doi.org/1932-8036/20170005Search in Google Scholar

Várallyai, L., Herdon, M., Botos, S. (2015). Statistical analyses of digital divide factors. Procedia Economics and Finance, 19, 364-372. https://doi.org/10.1016/S2212-5671(15)00037-4Search in Google Scholar

Yang, J., & Mukhopadhaya, P. (2022) Monetary and non-monetary poverty within urban locals and rural migrants in China using inequality-sensitive poverty measures. The B. E. Journal of Economic Analysis & Policy. 22(1), 29-66. https://doi.org/10.1515/bejeap-2021-0193Search in Google Scholar

Zhang, J. P., Wang, R., & Lu, C. (2018). A quantitative analysis of Hukou reform in Chinese cities: 2000–2016. Growth and Change, 2018; 00: 1–21. https://doi.org/10.1111/grow.12284Search in Google Scholar