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Income, Work Preferences and Gender Roles among Parents of Infants in Urban China: A Mixed Method Study from Nanjing*

Published online by Cambridge University Press:  07 December 2010

Vanessa L. Fong
Affiliation:
Harvard University. Email: [email protected](corresponding author).

Abstract

This article explores the relationship between gender and income inequality within and across households in an urban Chinese sample by looking at survey data from 381 married couples with infants born in a Nanjing hospital between 2006 and 2007 and in-depth interviews with a subsample of 80 of these couples. We explore the relationship between family income and differences between husbands’ and wives’ work preferences. A couple-level quantitative analysis shows that in lower-income families, husbands were more likely than their wives to prefer career advancement and low stress at work, and wives were more likely than their husbands to prefer state jobs. Our analyses of the qualitative subsample show that, even though high-income husbands and wives are more likely to share similar work preferences, the household division of roles within their marriages is still gendered along traditional lines, as it is in the marriages of low-income couples.

Type
Articles
Copyright
Copyright © The China Quarterly 2010

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References

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44 Interviews, surveys, and observations are being collected across two cohorts of infants and adolescents and their parents, totaling 1,127 families, over a period of four years.

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46 Nanjing Municipal Data, 2006.

47 Additionally, there was no gendered variation in income in cities of varying levels of foreign direct investment so Nanjing is comparable to other cities in this respect. See Shu, Zhu and Zhang, “Global economy and gender inequalities.”

48 49.3% girls and 50.7% boys.

49 The expense of the maternity-ward room (single-bed rooms compared to multiple-bed rooms) served as a proxy for income in sampling. We chose to study parents of young infants because income might matter even more as families experience extra financial burden to provide for the child while wives have more family duties and need to secure income as well.

50 The interviews were conducted by a group of native Chinese speakers, who were current or recently graduated graduate students at South East University in Nanjing, China and New York University in New York City.

51 Most of the couples in our sample had not experienced the lay-offs from state firms in the 1990s with economic restructuring which had disproportionally affected women. See Lin, Tan and Xizhe, Peng, “China's female population,” in Peng, Xizhe and Guo, Zhigang (eds.), The Changing Population of China (Oxford: Blackwell, 2000), p. 157.Google ScholarPubMed

52 This includes the bottom 14.2% of couples in our total sample.

53 These two items were positively correlated at p < .01. The correlation table of the work preference items is available upon request from the first author.

54 “Opportunities for advancement and promotion” was positively correlated with the other three items at p < .01.

55 Wives working in state-run units tend to value working in a state-owned firm (r = .12, p < .05) whereas wives working in the private sector tend to value running their own business (r = .17, p < .01). Thus wives’ engagement in the state or private sector reflects distinctive choices regarding their values.

56 Family income was negatively correlated with wives’ rating on benefits relating to child care (r = −.17, p < .01) and education (r = −.14, p < .01).

57 Family income was negatively correlated with security for husbands (r = −.13, p < .05).

58 From this point onward, each time we refer to husbands scoring higher, lower or similarly to their wives, we keep to this .5 standard deviation criterion.

59 Because of the low variation in terms of education levels found in couples, with most husbands and wives having completed a college degree in our sample as detailed in our methodology section, we did not include education as a prediction variable and only controlled for it.

60 See Li, Wanxian, Liu, Xinmei and Wan, Weiwu, “Demographic effects of work values and their management implications,” Journal of Business Ethics, Vol. 1, No. 4 (2007), pp. 875–85Google Scholar for further discussion on how age and education can affect job values in China.

61 Since the proportion of wives earning more than husbands was negligible, we ignored this category and performed binomial logistic regressions including the same predictors used in Table 2, with income difference as our outcome predictor divided into two categories: husbands earning more than their wives, and same-earning couples. We found that in higher income families, husbands were 11.2 times more likely to earn more than their wives (p < .01). Additionally, family income and husband-wife differential in earnings (in the direction husbands earning more than wives) were positively correlated (r = .19, p < .01).

62 Carr, “Two paths to self-employment?” pp. 26–53, also found this in an American sample.

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66 This is exactly what Hanser, “The Chinese enterprising self,” found in her sample of youth, who were confident in their ability to compete and wanted to test their “enterprising selves.”

67 This echoes the study of state-run versus private department stores in Harbin by Hanser, Service Encounters, which described the more competitive and stressful environment in the private stores.

68 Wives working in the state sector have an average income of 3,065.2 yuan with a standard deviation of 1,662.5 while self-employed wives have an average income of 5,235.7 yuan with a standard deviation of 4,128.8. It is necessary to point out that self-employed women were very heterogeneous, as they were in the most and least rewarded occupations, with little in between. See Arum, Richard, “Trends in male and female self-employment: growth in a new middle class or increasing marginalization of the labor force?” Research in Stratification and Mobility, Vol. 15 (1997), pp. 209–38.Google ScholarBudig, Michelle J. also argues that “the effects of family structure on women's propensity for self-employment significantly differ by occupational class” in “Intersections on the road to self-employment: gender, family and occupational class,” Social Forces, Vol. 84, No. 4 (2006), p. 2235.Google Scholar

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