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10811Since entering the 21st century, the rapid development of network technology has gradually changed the way people live and work, and has an important impact on the labor market, especially the female employment. According to the 39th CNNIC report, the number of internet users in China reached 731 million, the internet penetration rate was 53.2%, and the proportion of female users was 47.6% up to December, 2016. With the gradual convergence of the gender structure in the net users and in the population, how does the internet impact on gender wages? Can the effect reduce the gender wage gap? This is the question to be answered in this paper. Although foreign studies have explored the relationship between the internet and the gender wage gap, few studies use Chinese data to analyze the impact of the internet on the gender wage gap. In addition, due to the diversity of network applications, the impact of different internet applications on gender wages may also be different. Therefore, it is of practical significance to explore the influence of internet preferences on gender wages. The main contents of this paper are as follows: First, by using the data of Chinese family tracking survey （CFPS） in 2010, this paper analyzes the impacts of internet usage on gender wages, and discusses the heterogeneity of the impacts. Second, based on the benchmark model, this paper analyzes the effects of different internet time, internet locations and internet usage preferences on gender wages, and uses IV to test the endogeneity. Thirdly, this paper analyzes the influence of internet usage on gender wages and the gender wage gap on different quantiles by RIF regression. The result shows that: First, internet usage can promote wage growth in different genders, and the effect varies with employment for different marital status, age and education. Second, the relationship between the internet usage time and hourly wages presents the " inverted U” shape curve, and using the internet at home or in the workplace has a greater impact on male wages, while using the internet in the workplace has a greater impact on female wages. Third, using the internet to send and receive messages, access to information can improve male wages, but the entertainment game will reduce male wages, and professional learning can improve female wages. Fourth, internet usage can reduce the gender wage gap between low income and middle-high income earners, but increase the gender wage gap among high-income earners. This paper suggests that to reduce the gender wage gap, should not only strengthen the network infrastructure and expand education and training to increase female internet usage rates and usage skills, but also develop new economics and new employment formats, and upgrade the industrial structure and reduce occupational gender segregation.
/ Journals / Journal of Finance and Economics
Journal of Finance and Economics
LiuYuanchun, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YaoLan BaoXiaohua HuangJun, Vice Editor-in-Chief
Does Internet Usage Reduce the Gender Wage Gap? Empirical Analysis based on CFPS Data
Journal of Finance and Economics Vol. 44, Issue 07, pp. 33 - 45 (2018) DOI:10.16538/j.cnki.jfe.2018.07.003
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References
Summary
[1] Bu M L, Luo J H, Zhou G. The impact of internet on China’s labor market: Empirical study based on CFPS data[J]. South China Population, 2011, (5): 1-10. (In Chinese)
[2] Chen Y Y, Wu Y L. The impact of IT on labor markets: An estimation of the returns to computer uses[J]. China Economic Quarterly, 2008, (4): 1149-1166. (In Chinese)
[3] Ge Y H, Zeng X Q. The effect of marker discrimination on gender wage gap in urban China[J]. Economic Research Journal, 2011, (6): 45-56. (In Chinese)
[4] He Y Y, Liu G E, Xu C. The trend of occupational segregation and gender wage differentials in China[J]. Economic Science, 2016, (4): 78-89. (In Chinese)
[5] Liu J, Zhao S C, Xu Q. The impact of part-time business on peasants’ non-farm income: A micro evidence from CFPS[J]. Journal of Finance and Economics, 2017, (12): 45-57. (In Chinese)
[6] Ma C, Gu H, Li J J. The research on gender wage differentials in Chinese labor market－Evidence from panel quantile regression decomposition method[J]. World Economic Papers, 2013, (2): 96-108. (In Chinese)
[7] Qing S S. Gender discrimination in promotion[J]. Management World, 2011, (11): 28-38. (In Chinese)
[8] Wang P. The impact of internet use on happiness－Empirical study of urban micro-data[J]. Soft Science, 2014, (10): 139-144. (In Chinese)
[9] Zhou X S. A study on gender differentials of internet use among college students[J]. Youth Exploration, 2014, (1): 62-68. (In Chinese)
[10] Zhuang J Z, Liu A Y, Sun C. Does internet reproduce gender inequality? A study on internet use wage premium[J]. Society, 2016, (5): 88-106. (In Chinese)
[11] Agarwal R, Animesh A, Prasad K. Social interactions and the “digital divide”: Explaining variations in internet use[J]. Information Systems Research, 2009, 20(2): 277-294.
[12] Atasoy H. The effects of broadband internet expansion on labor market outcomes[J]. Industrial & Labor Relations Review, 2013, 66(2): 315-345.
[13] Black S E, Spitz O A. Explaining women’s success: Technological change and the skill content of women’s work[J]. Review of Economics & Statistics, 2007, 92(1): 187-194.
[14] Dimaggio P, Bonikowski B. Make money surfing the web? The impact of internet use on the earnings of U.S. workers[J]. American Sociological Review, 2008, 73(2): 227-250.
[15] Firpo S, Fortin N M, Lemieux T. Unconditional quantile regressions[J]. Econometrica, 2009, 77(3): 953-973.
[16] Herr J L, Wolfram C D. Work environment and opt-out rates at motherhood across high-education career paths[J]. Industrial & Labor Relations Review, 2012, 65(4): 928-950.
[17] Krueger A B. How computers have changed the wage structure: Evidence from microdata, 1984-1989[J]. Quarterly Journal of Economics, 1993, 108(1): 33-60.
[18] Levy F, Murnane R J. With what skills are computers a complement?[J]. American Economic Review, 1996, 86(2): 258-262.
[19] Moreno G E, Wolff F C. New technologies and the gender wage gap: Evidence from France[J]. Relations Industrielles, 2008, 63(2): 317-342.
[20] Parai R. Computer use and wage differentials: US and foreign born male and female workers[J]. Applied Economics Letters, 2007, 14(6): 409-413.
[21] Postar D R. The effect of high-speed internet access on the gender wage gap[D]. Washington: Georgetown University, 2013.
[22] Wasserman I M, Richmond A M. Gender and the internet: Causes of variation in access, level, and scope of use[J]. Social Science Quarterly, 2005, 86(1): 252-270.
[23] Weinberg B A. Computer use and the demand for female workers[J]. Industrial & Labor Relations Review, 2000, 53(2): 290-308.
Cite this article
Mao Yufei, Zeng Xiangquan, Hu Wenxin. Does Internet Usage Reduce the Gender Wage Gap? Empirical Analysis based on CFPS Data[J]. Journal of Finance and Economics, 2018, 44(7): 33-45.
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