Abstract
This research aims to shed light on the causes of the rising gender income gap in China. We first apply the Oaxaca-Blinder decomposition method (Oaxaca, Int Eco Rev 14: 693–709, 1973; Blinder, J Hum Res 8: 436–455, 1973) to our survey data to estimate the extent to which that gap can be explained by the difference in human capital characteristics (such as years of education and years of experience). We find that a rising discrimination against females (either due to tradition or otherwise) is not the main cause of the rising gender income gap in China. Instead, we present evidence to propose that two of the three main drivers of China’s economic growth—namely, privatization and urbanization—very likely have contributed to the rise in China’s gender income gap.
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Notes
- 1.
See United Nations (2000–2001).
- 2.
The problem of gender discrimination in income existed since the Industrial Revolution began in England in the eighteenth century. Male employees occupied the advantages of physical capacity so that they could obtain the majority of working opportunities and earn more wages (Nyhus and Pons 2012).
- 3.
- 4.
Clark (2014) argued that, because working in the engineering industry contains some risks and dangers and also the working environment for engineering is relatively tough, a small number of female students will choose engineering as their major in universities and very few female students will continue to study further in this subject.
- 5.
Reasons for segregation of occupations and sectors by gender have been attributable to both the supply side and the demand side in the literature. For example, on the supply side, under the traditional gender division of labor and social norms, women have to take up more responsibility of caring for the family. Therefore, many women take up jobs that are more flexible in working hours and/or less physically demanding despite being lower paid jobs. On the demand side, gender stereotypes or information asymmetry could lead to discrimination against women by employers.
- 6.
See “China’s permanent urbanization rate hits 57.4 per cent” by Wenyu Sun (July 13, 2017). People’s Daily.
References
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Appendix
Appendix
1.1 Appendix 1: The Female-to-Male Ratio of Estimated Earned Income in Asia and Europe, 2011
Asia | Europe | ||
---|---|---|---|
Country | Ratio | Country | Ratio |
Brunei Darussalam | 0.97 | Norway | 1 |
Singapore | 0.88 | Luxembourg | 1 |
Australia | 0.82 | Switzerland | 0.89 |
Mongolia | 0.8 | Netherlands | 0.83 |
New Zealand | 0.7 | Sweden | 0.82 |
Vietnam | 0.69 | Denmark | 0.81 |
Cambodia | 0.66 | Finland | 0.74 |
China | 0.65 | Ireland | 0.72 |
Thailand | 0.63 | United Kingdom | 0.71 |
Philippines | 0.6 | Croatia | 0.7 |
Maldives | 0.57 | Iceland | 0.69 |
Bangladesh | 0.55 | Germany | 0.69 |
Japan | 0.51 | Romania | 0.68 |
Malaysia | 0.43 | Belgium | 0.67 |
Indonesia | 0.42 | Latvia | 0.67 |
Korea, Rep. | 0.41 | Lithuania | 0.67 |
Iran, Islamic Rep . | 0.4 | Moldova | 0.67 |
Fiji | 0.38 | Bulgaria | 0.66 |
Nepal | 0.37 | Russian Federation | 0.65 |
Sri Lanka | 0.36 | France | 0.65 |
India | 0.31 | Hungary | 0.64 |
Average | 0.58 | Slovenia | 0.62 |
Estonia | 0.62 | ||
Ukraine | 0.6 | ||
Cyprus | 0.58 | ||
Spain | 0.57 | ||
Portugal | 0.57 | ||
Poland | 0.57 | ||
Slovak Republic | 0.57 | ||
Austria | 0.56 | ||
Italy | 0.54 | ||
Albania | 0.54 | ||
Macedonia, FYR | 0.51 | ||
Greece | 0.5 | ||
Armenia | 0.5 | ||
Czech Republic | 0.48 | ||
Malta | 0.47 | ||
Georgia | 0.39 | ||
Average | 0.65 |
1.2 Appendix 2: Ranking of Countries by Female-to-Male Earned Income Ratio
Female-to-Male | ||
---|---|---|
Country | Ratio | Rank |
Luxembourg | 1 | 1 |
Norway | 1 | 1 |
Brunei Darussalam | 0.97 | 3 |
Switzerland | 0.89 | 4 |
United States | 0.88 | 5 |
Singapore | 0.88 | 6 |
Qatar | 0.84 | 7 |
Netherlands | 0.83 | 8 |
Sweden | 0.82 | 9 |
Australia | 0.82 | 10 |
Denmark | 0.81 | 11 |
Mongolia | 0.8 | 12 |
Burundi | 0.8 | 13 |
Bolivia | 0.77 | 14 |
Mozambique | 0.76 | 15 |
Canada | 0.75 | 16 |
Ghana | 0.75 | 17 |
Finland | 0.74 | 18 |
Lesotho | 0.74 | 19 |
Malawi | 0.73 | 20 |
Madagascar | 0.73 | 21 |
Ireland | 0.72 | 22 |
United Kingdom | 0.71 | 23 |
Croatia | 0.7 | 24 |
New Zealand | 0.7 | 25 |
Iceland | 0.69 | 26 |
Ethiopia | 0.69 | 27 |
Germany | 0.69 | 28 |
Vietnam | 0.69 | 29 |
Romania | 0.68 | 30 |
Lithuania | 0.67 | 31 |
Belgium | 0.67 | 32 |
Latvia | 0.67 | 33 |
Tanzania | 0.67 | 34 |
Moldova | 0.67 | 35 |
Burkina Faso | 0.67 | 36 |
Benin | 0.66 | 37 |
Cambodia | 0.66 | 38 |
Bulgaria | 0.66 | 39 |
Kenya | 0.66 | 40 |
Uganda | 0.65 | 41 |
Russian Federation | 0.65 | 42 |
China | 0.65 | 43 |
Angola | 0.65 | 44 |
France | 0.65 | 45 |
Barbados | 0.64 | 46 |
Israel | 0.64 | 47 |
Hungary | 0.64 | 48 |
Namibia | 0.64 | 49 |
Gambia | 0.64 | 50 |
Thailand | 0.63 | 51 |
Estonia | 0.62 | 52 |
Slovenia | 0.62 | 53 |
Kuwait | 0.61 | 54 |
Paraguay | 0.61 | 55 |
Kazakhstan | 0.61 | 56 |
Chad | 0.61 | 57 |
Brazil | 0.61 | 58 |
Ukraine | 0.6 | 59 |
Philippines | 0.6 | 60 |
Peru | 0.59 | 61 |
Jamaica | 0.58 | 62 |
Cyprus | 0.58 | 63 |
Spain | 0.57 | 64 |
Poland | 0.57 | 65 |
Senegal | 0.57 | 66 |
Slovak Republic | 0.57 | 67 |
Maldives | 0.57 | 68 |
Portugal | 0.57 | 69 |
Tajikistan | 0.57 | 70 |
Mauritania | 0.56 | 71 |
Zambia | 0.56 | 72 |
Austria | 0.56 | 73 |
South Africa | 0.56 | 74 |
Bahrain | 0.56 | 75 |
Uruguay | 0.56 | 76 |
United Arab Emirates | 0.55 | 77 |
Costa Rica | 0.55 | 78 |
Trinidad and Tobago | 0.55 | 79 |
Bangladesh | 0.55 | 80 |
Panama | 0.55 | 81 |
Albania | 0.54 | 82 |
Italy | 0.54 | 83 |
Kyrgyz Republic | 0.53 | 84 |
Azerbaijan | 0.53 | 85 |
Argentina | 0.52 | 86 |
Japan | 0.51 | 87 |
Cameroon | 0.51 | 88 |
Macedonia | 0.51 | 89 |
Greece | 0.5 | 90 |
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Sun, Q., Hung, J.H. (2018). The Rise in China’s Gender Income Inequality. In: Hung, J., Chen, Y. (eds) The State of China’s State Capitalism. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-13-0983-0_9
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DOI: https://doi.org/10.1007/978-981-13-0983-0_9
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