IDEAS home Printed from https://ideas.repec.org/a/spr/jlabrs/v56y2022i1d10.1186_s12651-022-00320-9.html
   My bibliography  Save this article

Internet use and gender wage gap: evidence from China

Author

Listed:
  • Xinxin Ma

    (Hosei University)

Abstract

This study explores the influence of Internet use on the gender wage gap in China by using national longitudinal survey data. A fixed effects and instrumental variable method were employed to address individual heterogeneity and other endogeneity problems. The study contributes in the form of four key conclusions. First, considering the endogeneity problems, the return to Internet use is higher for men than for women, unlike the results derived using the ordinary least squares model, which indicates the opposite. The individual heterogeneity problem considerably affects the results, thus suggesting a bias in earlier studies. The results of robustness checks based on the Internet use frequency for different purposes confirm the conclusions. Second, the gender difference in return to Internet use is higher in the low-education group and older age cohorts. Third, both the components—the gender disparity in Internet access and gender difference in return to Internet use—widen the gender wage gap, with the gender difference in return to Internet use having a higher impact. Fourth, the effects of these two components on the gender wage gap vary with the educational attainment and age cohorts.

Suggested Citation

  • Xinxin Ma, 2022. "Internet use and gender wage gap: evidence from China," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-17, December.
  • Handle: RePEc:spr:jlabrs:v:56:y:2022:i:1:d:10.1186_s12651-022-00320-9
    DOI: 10.1186/s12651-022-00320-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s12651-022-00320-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1186/s12651-022-00320-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Xin Meng, 1998. "Gender occupational segregation and its impact on the gender wage differential among rural-urban migrants: a Chinese case study," Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 741-752.
    2. Lex Borghans & Bas Ter Weel & Bruce A. Weinberg, 2014. "People Skills and the Labor-Market Outcomes of Underrepresented Groups," ILR Review, Cornell University, ILR School, vol. 67(2), pages 287-334, April.
    3. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    4. Boris Hirsch, 2010. "Spatial Monopsony and Regional Differences in the Gender Pay Gap," Lecture Notes in Economics and Mathematical Systems, in: Monopsonistic Labour Markets and the Gender Pay Gap, chapter 0, pages 113-130, Springer.
    5. Paul Beaudry & Ethan Lewis, 2014. "Do Male-Female Wage Differentials Reflect Differences in the Return to Skill? Cross-City Evidence from 1980-2000," American Economic Journal: Applied Economics, American Economic Association, vol. 6(2), pages 178-194, April.
    6. Miller, Paul & Mulvey, Charles, 1997. "Computer Skills and Wages," Australian Economic Papers, Wiley Blackwell, vol. 36(68), pages 106-113, June.
    7. Miller, Paul W, 1987. "The Wage Effect of the Occupational Segregation of Women in Britain," Economic Journal, Royal Economic Society, vol. 97(388), pages 885-896, December.
    8. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    9. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    10. Michael P. Kidd, 1993. "Sex Discrimination and Occupational Segregation in the Australian Labour Market," The Economic Record, The Economic Society of Australia, vol. 69(1), pages 44-55, March.
    11. Ichiro Iwasaki & Xinxin Ma, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-19, December.
    12. Xin Meng & Junsen Zhang & Pak-Wai Liu, 2000. "Sectoral gender wage differentials and discrimination in the transitional Chinese economy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 331-352.
    13. Meiyan Wang & Fang Cai, 2008. "Gender Earnings Differential in Urban China," Review of Development Economics, Wiley Blackwell, vol. 12(2), pages 442-454, May.
    14. Nicholas O. Alozie & Patience Akpan-Obong, 2017. "The Digital Gender Divide: Confronting Obstacles to Women's Development in Africa," Development Policy Review, Overseas Development Institute, vol. 35(2), pages 137-160, January.
    15. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    16. Paul DiMaggio & Eszter Hargittai & W. Russell Neuman & John P. Robinson, 2001. "Social Implications of the Internet," Working Papers 159, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Arts and Cultural Policy Studies..
    17. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5.
    18. Jacob A. Mincer, 1974. "Age and Experience Profiles of Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 64-82, National Bureau of Economic Research, Inc.
    19. Paul DiMaggio & Eszter Hargittai & W. Russell Neuman & John P. Robinson, 2001. "Social Implications of the Internet," Working Papers 159, Princeton University, School of Public and International Affairs, Center for Arts and Cultural Policy Studies..
    20. Xi Chen, 2019. "The evolution of female labour force participation in urban China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 27(1), pages 267-299, January.
    21. Sabrina Wulff Pabilonia & Cindy Zoghi, 2005. "Returning to the Returns to Computer Use," American Economic Review, American Economic Association, vol. 95(2), pages 314-317, May.
    22. Barbara R. Bergmann, 1974. "Occupational Segregation, Wages and Profits When Employers Discriminate by Race or Sex," Eastern Economic Journal, Eastern Economic Association, vol. 1(2), pages 103-110, April.
    23. Rachel Connelly & Xiao-yuan Dong & Joyce Jacobsen & Yaohui Zhao, 2018. "The Care Economy in Post-Reform China: Feminist Research on Unpaid and Paid Work and Well-Being," Feminist Economics, Taylor & Francis Journals, vol. 24(2), pages 1-30, April.
    24. Masso, Jaan & Meriküll, Jaanika & Vahter, Priit, 2022. "The role of firms in the gender wage gap," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 454-473.
    25. Fatehkia, Masoomali & Kashyap, Ridhi & Weber, Ingmar, 2018. "Using Facebook Ad Data to Track the Global Digital Gender Gap," SocArXiv rkvb3, Center for Open Science.
    26. Boris Hirsch, 2010. "Spatial Monopsony and the Gender Pay Gap," Lecture Notes in Economics and Mathematical Systems, in: Monopsonistic Labour Markets and the Gender Pay Gap, chapter 0, pages 95-111, Springer.
    27. Biewen, Martin & Fitzenberger, Bernd & Seckler, Matthias, 2020. "Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap," Labour Economics, Elsevier, vol. 67(C).
    28. Sabrina Wulff Pabilonia & Cindy Zoghi, 2005. "Returning to the Returns to Computer Use," American Economic Review, American Economic Association, vol. 95(2), pages 314-317, May.
    29. repec:iab:iabjlr:v:54:i::p:art.17 is not listed on IDEAS
    30. Ichiro Iwasaki & Xinxin Ma, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-19, December.
    31. Michael P. Kidd & Michael Shannon, 1996. "Does the Level of Occupational Aggregation Affect Estimates of the Gender Wage Gap?," ILR Review, Cornell University, ILR School, vol. 49(2), pages 317-329, January.
    32. 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.
    33. Beblo, Miriam & Görges, Luise, 2018. "On the nature of nurture. The malleability of gender differences in work preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 19-41.
    34. Iwasaki, Ichiro & Ma, Xinxin, 2020. "Gender Wage Gap in China: A Large Meta-Analysis," CEI Research Paper Series 2020-5, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    35. Brandon Vick, 2017. "Measuring links between labor monopsony and the gender pay gap in Brazil," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-28, December.
    36. Xinxin Ma, 2018. "Ownership sector segmentation and the gender wage gap in urban China during the 2000s," Post-Communist Economies, Taylor & Francis Journals, vol. 30(6), pages 775-804, November.
    37. Randall S. Brown & Marilyn Moon & Barbara S. Zoloth, 1980. "Incorporating Occupational Attainment in Studies of Male-Female Earnings Differentials," Journal of Human Resources, University of Wisconsin Press, vol. 15(1), pages 3-28.
    38. Ge, Suqin & Zhou, Yu, 2020. "Robots, computers, and the gender wage gap," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 194-222.
    39. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    40. Fatehkia, Masoomali & Kashyap, Ridhi & Weber, Ingmar, 2018. "Using Facebook ad data to track the global digital gender gap," World Development, Elsevier, vol. 107(C), pages 189-209.
    41. Björn Gustafsson & Shi Li, 2000. "Economic transformation and the gender earnings gap in urban China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 305-329.
    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. MA, Xinxin & CHENG, Jie, 2023. "The Impact of Trade Unions on the Gender Wage Gap : Evidence from China," Discussion Paper Series 752, Institute of Economic Research, Hitotsubashi University.
    2. Xose Picatoste & Anabela Mesquita & Fernando González-Laxe, 2023. "Gender wage gap, quality of earnings and gender digital divide in the European context," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(2), pages 301-321, May.

    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. Ma, Xinxin, 2022. "Parenthood and the gender wage gap in urban China," Journal of Asian Economics, Elsevier, vol. 80(C).
    2. Xinxin Ma, 2023. "Internet Use and Risky Financial Market Participation: Evidence from China," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 15(2), pages 1-1, February.
    3. Xinxin Ma & Ichiro Iwasaki, 2021. "Return to schooling in China: a large meta-analysis," Education Economics, Taylor & Francis Journals, vol. 29(4), pages 379-410, July.
    4. MA, Xinxin & CHENG, Jie, 2023. "The Impact of Trade Unions on the Gender Wage Gap : Evidence from China," Discussion Paper Series 752, Institute of Economic Research, Hitotsubashi University.
    5. Xinxin Ma, 2023. "Trade union and gender wage gap: Evidence from China," Economics Bulletin, AccessEcon, vol. 43(2), pages 1098-1110.
    6. Ichiro Iwasaki & Xinxin Ma, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-19, December.
    7. Xinxin Ma & Ichiro Iwasaki, 2021. "Does communist party membership bring a wage premium in China? a meta-analysis," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 19(1), pages 55-94, January.
    8. Ma, Xinxin, 2018. "Labor market segmentation by industry sectors and wage gaps between migrants and local urban residents in urban China," China Economic Review, Elsevier, vol. 47(C), pages 96-115.
    9. Ma, Xinxin, 2022. "Internet use and gender wage gap: evidence from China," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-15.
    10. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    11. Iwasaki, Ichiro & Ma, Xinxin, 2020. "Gender Wage Gap in China: A Large Meta-Analysis," CEI Research Paper Series 2020-5, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    12. Alessia Amighini & Weidi Fang & Martin Zagler, 2023. "On the evolution of the wage premium for party membership in China," Department of Economics Working Papers wuwp351, Vienna University of Economics and Business, Department of Economics.
    13. 岩﨑, 一郎 & Iwasaki, Ichiro & 馬, 欣欣 & Ma, Xin Xin, 2019. "現代中国における男女賃金格差: メタ分析による接近," Discussion Paper Series 689, Institute of Economic Research, Hitotsubashi University.
    14. HORIE, Norio & IWASAKI, Ichiro & KUPETS, Olga & MA, Xinxin & MIZOBATA, Satoshi & SATOGAMI, Mihoko, 2023. "Wage Functions in China and Eastern Europe : A Large-Scale Comparative Meta Analysis," CEI Working Paper Series 2022-08, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    15. Siew, Ching Goy & Johnes, Geraint, 2012. "Revisiting The Impact of Occupational Segregation on the Gender Earnings Gap in Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 46(1), pages 13-25.
    16. Almas Heshmati & Biwei Su, 2017. "Analysis Of Gender Wage Differential In China’S Urban Labor Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(02), pages 423-445, June.
    17. Qing Guo & Siyu Chen & Xiangquan Zeng, 2021. "Does Fintech Narrow the Gender Wage Gap? Evidence from China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(4), pages 142-166, July.
    18. Chen, Yi & Demurger, Sylvie & Fournier, Martin, 2005. "Earnings Differentials and Ownership Structure in Chinese Enterprises," Economic Development and Cultural Change, University of Chicago Press, vol. 53(4), pages 933-958, July.
    19. Yu CHEN & Sylvie DEMURGER & Martin FOURNIER, 2003. "Wage Differentials and Ownership Structure in Chinese Enterprises," Working Papers 200320, CERDI.
    20. Lin Xiu & Morley Gunderson, 2015. "Occupational segregation and the gender earnings gap in China: devils in the details," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(5), pages 711-732, August.

    More about this item

    Keywords

    Gender wage gap; Internet use; Return to Internet use; Internet access; China;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    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:spr:jlabrs:v:56:y:2022:i:1:d:10.1186_s12651-022-00320-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.