Inequality of Opportunity in China's Labor Earnings: The Gender Dimension

This paper investigates the inequality of opportunity in China's labor earnings, defined as the component of inequality determined by personal circumstances that lie beyond the control of an individual, of which gender is one, as opposed to the component determined by personal efforts. Using the Survey of Women's Social Status in China (2010), we measure the share of inequality of opportunity in the total inequality of individual labor earnings for people aged 26–55 years, and separately for six birth cohorts and for female and male subsamples. Gender is revealed as the single most important circumstance determining nationwide individual labor earnings, with one's region of residence, father's occupation, father's education, birth cohort and holding rural or urban hukou also playing significant roles. A further investigation into the roles of circumstances and personal efforts (including education level, occupation, Communist Party membership, migration and marital status) confirms that circumstances play an alarmingly high role in shaping labor earnings distribution in China, and reveals notable gender differences that cannot be attributed to personal effort alone. These results provide the basis for recommending ways to improve gender equality of opportunity in the future.     

Inequality of opportunity in China: Evidence from pseudo panel data

We construct a pseudo panel sample from the China General Social Survey to study the inequality of opportunity in China. The pseudo panel enables us to control for cohort-specific heterogeneities when estimating the Mincer equation, and the results show that individual circumstances play a prominent role in determining income advantage. Counterfactual analysis further reveals the importance of cohort-level circumstances: individual circumstances account for less than 10% of the observed income inequality, whereas equalizing both the individual circumstances and the cohort fixed effects reduces income inequality by 30%. Among the individual circumstances we examine, gender and paternal characteristics contribute more to income inequality than does hukou of birth. Subsample analysis shows that China's western provinces exhibit the highest inequality of opportunity and that the inequality of opportunity among younger cohorts is smaller than that among older cohorts.     

Inequality of opportunity in household income,China 2002–2018

This study contributes to the literature on inequality of opportunity (IOp) in China by covering a longer and more recent span of time, employing better measures of given characteristics, and analyzing IOp for household income per capita with comparisons to individual income. Furthermore, it analyzes how IOp differs between the rural- and urban-born, and how IOp changes across birth cohorts and with age. We use 2002, 2013 and 2018 data from the Chinese Household Income Study and focus on income inequality among working-age persons. We find that IOp in China declined, especially between 2013 and 2018. In 2002 the large contributors to IOp were region, hukou type at birth, and parents' characteristics. In 2018 the contributions of region, hukou type at birth and parents' occupation had decreased, but that of parents' education had increased. We find that IOp is larger among those born in rural than urban China. Furthermore, IOP's contribution to total inequality within each birth cohort is highest earlier in individuals' work lives and declines with age. IOp is higher for older than younger birth cohorts, reflecting that younger cohorts have benefited from increased opportunities associated with China's reforms and opening up.     

Equity,efficiency, and labor-market reforms in urban China: the impact of bonus wages on the distribution of earnings

Economic reforms in China have led to a shift in emphasis away from equity towards greater efficiency with a consequent increase in income inequality. In this paper, we focus on the causes of the rising inequality of individual earnings and the link with the reform program by analyzing the components of individual earnings (i.e. standard and bonus wages) separately. Increasing inequality is seen to reflect a rising share and inequality of bonus wages. This, in turn, predominantly reflects the unequal distribution of enterprise profitability combined with labor immobility across enterprises, rather than increasing returns to personal characteristics, such as human capital or gender. Based on these results, we argue that the future evolution of earnings inequality will be determined by the sequence of reforms in, for example, capital and labor markets.     

Migration from rural areas of poor countries: The impact on rural productivity and income distribution

Evidence is presented elsewhere²⁶ that intra-rural inequality is a major cause of rural-urban migration: that better-off villagers tend to be ‘pulled’, and worse-off villagers ‘pushed’, from the same subset of relatively ‘unequal’ villages. This paper argues that townward emigration, and its after-effects (remittances, return migration), in turn increases interpersonal and inter-household inequality within and between villages. As for rural labour productivity, the neoclassical expectation (that townward migration increases it) rests on special definitions and doubtful assumptions. Fortunately, in most of the poorer developing countries, rural-urban migration is much smaller, less permanent and more likely to set up countervailing economic-demographic pressures restoring the rural population share, than received opinion about ‘the urban crisis’ suggests. Migration does not equilibriate between urban and rural sectors, largely because of externalities and compositional factors; but it does smoothe itself, largely because individuals behave rationally and learn quickly. As so often, the lesson for development studies is not that ‘markets fail’. It is that, under conditions of both poverty and structural inequality, they function — but with generally unacceptable, misery-preserving consequences.     

Women hold up half the sky? Gender identity and the wife's labor market performance in China

In this paper, we empirically study the impact of gender identity on the wife's labor supply in China where a high female employment rate and a large population that has a traditional gender identity coexist. We find that the wife's gender identity affects her labor force participation for all cohorts, and the wife's gender identity affects earnings only for rural cohorts. The impact of gender identity varies among generational, regional, and educational cohorts. Husbands still guide their wives, i.e., a husband's gender identity affects his wife's labor force participation and earnings.     

Intergenerational education transmission in China: The gender dimension

This paper explores gender differences in intergenerational patterns of education attainment in China. Using the China Family Panel Studies (CFPS) survey for 2016, we find that intergenerational ‘persistence’, as reflected in high regression and correlation coefficients between an individual's and their parents' education levels, is higher for females than males for the entire sample and for each of four age cohorts. This result stems primarily from the relative lack of upward mobility among females from families with low levels of education, as confirmed by a series of educational mobility matrices and a multinomial logistic regression analysis. The results offer novel insights into gender differences in the unequal transmission of education across generations, with significant implications for gender inequality more broadly in Chinese society.     

Gender,Sibling Order,and Differences in the Quantity and Quality of Education: Evidence from Japanese Twins*

Using information on 1045 pairs of Japanese monozygotic twins, we examined differences in education by considering both the years of schooling (quantity) and the reputation of the last attended school (quality). We found that a difference in learning performance at 15 years of age is one of the key factors determining the differences. We also found that a female eldest child in the family from the 1950s and 1960s birth cohorts averaged 0.54 years less schooling than did her ‘younger’ twin. However, for the same birth cohorts, a male eldest child in the family generally had access to higher‐quality education than his ‘younger’ twin. Nonetheless, as the Japanese economy matured in the 1970s and thereafter, educational differences between twins disappeared, regardless of gender and sibling order.     

Inequality of opportunity and income inequality in nine Chinese provinces, 1989–2006

While there is a large and growing body of research describing and analyzing changes in the Chinese income distribution, researchers have paid considerable less attention to inequality of opportunity. The aim of this paper is to contribute to filling this gap in the literature. The two main questions addressed empirically for the first time in a Chinese context are: to what extent are individuals’ incomes and individual income differences due to factors beyond the individual's control (in Roemer's terminology “circumstances”) and to what extent are they due to outcomes of the individual's own choices (“effort”). What is the relationship between income inequality and inequality of opportunity?For this purpose we use data from the China Health and Nutrition Survey collected from nine provinces during the period 1989 to 2006. The CHNS has detailed information about incomes and other factors enabling us to construct a host of circumstance and effort variables for the offspring.We find that China has a substantial degree of inequality of opportunity. Parental income and parents' type of employer explain about two thirds of the total inequality of opportunity. Notably, parental education plays only a minor role implying that parental connections remain important. The results show that the increase in income inequality during the period under study largely mirrors the increase in inequality of opportunity. Thus, increased income inequality does not reflect changes in effort variables, or expressed differently, increased income inequality has not been accompanied by a decrease in inequality of opportunity.     

A new ordered family of Lorenz curves with an application to measuring income inequality and poverty in rural China

The most common data source on income distribution in China is grouped data. When income data is in grouped form, some acceptable Lorenz model is needed to approximate the underlying Lorenz curve. This paper presents a new family of Lorenz curves and applies the main model in our proposed family of Lorenz curves to income data for rural China over the period 1980 to 2006. We find that the income share of the rural population at the low end of the income scale has been shrinking, income inequality in rural China has increased over time and that income inequality has impeded attempts to reduce poverty. However, the welfare of the rural population is still improving in terms of the generalized Lorenz dominance criterion.     

Introduction to income inequalities and redistribution in china

This special section presents the main findings about long-run trends in inequality in China and its driving factors as they emerge from a country case study carried out under a UNU-WIDER supported project.¹ Special focus in the umbrella project were on three issues: (i) the role of earnings inequality and its determinants; (ii) the role of top incomes when administrative records or other sources can be combined with household surveys; and (iii) the redistributive impact of public policies. Main findings of the project including those for China results were presented in a special panel during the UNU-WIDER Think Development – Think WIDER development conference held in Helsinki in September 2018.²

1. Motivation

Inequality has once again emerged as a major issue in economic development across the developed and developing world, and addressing this challenge is key in the UN Sustainable Development Agenda. The UNU-WIDER conference on Mapping the Future of Development Economics held in Helsinki in September 2016³ led to the formulation of a project to study inequality in five major developing countries accounting for more than 40 per cent of the world’s population. UNU-WIDER implemented these studies under its Inequality in the Giants project,⁴ designed as part of a broader international effort to shed light on a set of new questions on between-country and within-country inequalities, by generating integrated datasets and applying a consistent methodology to investigate the determinants of inequality dynamics in some of the world’s largest economies. China was included among the five case countries, and the effort included both a series of papers on China, produced under the coordination of Professor Shi Li and various workshops and meetings. Coming to grips with inequality in China is an obvious priority for anyone interested in trends in global inequality; and the present special section contains five key papers produced in the context of the UNU-WIDER project and subsequently accepted for publication by the China Economic Review.

2. Content of the special section

The five papers on inequality in China presented in this special section cover different topics and jointly illustrate a key set of important themes in the recent evolution of China’s income distribution.The opening study by Luo, Li, and Sicular (LLS) provides an overview and analysis of the long-term evolution of inequality in China, while the next three papers — on urban wage inequality, public transfers, and top incomes — each illustrates and delves more deeply into important aspects of the broader trends in inequality.What are the main findings of these papers? The core finding is that inequality in China rose markedly from the 1980s through the early 2000s; only since 2008 has the upward trend stopped or reversed. LLS report and examine the underpinnings of this core finding, using the five waves of the China Household Income Project surveys conducted during 1988-2013. This paper also finds a considerable, ongoing reduction in rural poverty, and a poverty decomposition analysis indicates that this poverty reduction was mostly due to income growth rather than redistribution in rural areas.The second paper by Gustafsson and Wan (GW) is on urban wage inequality from 1988 to 2013 and it sheds further light on the changes in the distribution of wage earnings. The authors highlight that average wages have grown rapidly and that wage inequality increased until 2007. Moreover, age has become weaker and education stronger related with wage. Importantly, the gender wage gap once small widened rapidly between 1995 and 2007, and workers in foreign owned firm and the state sector enjoy a wage premium.While wages are the most important component of income, it is only part of the inequality story. One important additional question is the role of government taxes and transfers. Since the early 2000s, China has embarked on a major effort to put in place a universal social safety net. The study by Cai and Yue (CY), which is the third paper, assess the consequences of these efforts. Their key conclusions include that the same public policy may produce different redistributive implications. Moreover, if the government keeps increasing the social security transfer scale without changing its distribution, then inequality will increase in China. In addition, formal-sector pension takes up the biggest share and is the most un-equalizing sub-item of all social security transfers; and related to the first paper in the special section they argue that the government should spend more on Dibao and rural residents pension to reduce inequality.Arguably, income inequality measured using household survey data understates actual inequality because surveys have difficulty in capturing top incomes. In the Chinese case, concerns about such bias have increased in the past ten years due to the expansion of private wealth and growing numbers of super-rich. The fourth paper by Li, Li, and Wan (LLW) is on top incomes in China and it attempts to correct for this bias using income information for the Chinese super-rich from various sources. They conclude that the Gini coefficient of income inequality increases substantially when samples of top incomes are incorporated.Finally, Gradín and Wu (GW) analyse in the fifth and final study the distribution of income and expenditure in China in a telling comparative perspective with India. Both countries represent two extreme cases in the relationship of inequality using both wellbeing indicators. It emerges that the joint distribution of income and expenditure differs between China and India because there is a higher prevalence of people with a large mismatch between their ranks in income and consumption in India, especially in rural areas, and particularly amongst those reporting low income and high expenditure. The main compositional effects identified are the different demographic and geographical composition of the countries’ populations, mostly the smaller households (especially in rural areas) and the higher level of urbanization in China than in India. The lack of consistency of cross-country comparisons based on income or expenditure calls for the use of hybrid inequality measures combining data on both provided they are available in the same survey.

3. Concluding remarks

The studies brought together in this special section provide telling insights about the trends in inequality in China from which scholars and policy makers can learn a great deal. In a global perspective, further increases in China’s mean income and wealth, both now above the global means, will begin to raise global between-country inequality. This is important in and of itself. Moreover, while we cannot expect that all the world’s poorest countries will follow the same path as China considering that the initial conditions and the international context they face will be very different, the experiences from China do reinforce the observation that much can be done by policy to influence inequality outcomes. In particular, and as argued by Gradin, Leibbrandt, & Tarp, 2020 (forthcoming):“well-functioning labour markets that promote job-creation, decent pay and social inclusion, removing any legal or de facto discrimination based on gender, race, ethnicity or place of origin, providing equal access to human and physical capital, and empowering the most disadvantaged population groups, are a key driver of increased equality”.These insights also emerge clearly from the five China studies in this special section.     

Some evidence on the cohort earnings differentials of men in Japan

This study analyses the cohort earnings differentials of full-time working men in Japan using large micro data on individuals. Log earnings differentials between two cohorts of the same age calculated from 2012 and 2017 surveys reveal a substantial earnings decline for university graduates around age 43 and senior high school graduates around age 38 in 2017. These cohorts experienced a severe deterioration of job opportunities after the bubble burst. The Blinder–Oaxaca decomposition shows that the composition effect dominates the wage structure effect. In particular, a shortened length of tenure and a decline in the share of those working in a large firm are the main causes of the earnings gap for senior high school graduates and for university graduates, respectively. While an increase in the proportion of those working in the service sector and a reduced share of regular workers are also important determinants for the earnings differentials for high school graduates, deteriorated opportunities for promotion to supervisory positions play an important role for university graduates. Extending this analysis to a longer time period and estimating the cohort earnings differential equation clarify that the observed stability of cohort earnings differentials for university graduates emerge not only from the importance of firm size differentials in determining their earning differentials, but also from the high stability of firm size differentials between cohorts for university graduates.     

Gender discrimination in China revisited: a perspective from family welfare

The strong son preference tradition in China has been weakened by the rapid development in the cultural, economic, political, and social environment, which leads to a rather ambiguous picture regarding the situation of women and girls. This article revisits this issue by comparing two approaches inspired from Engel’s method to identify equivalence scales, and directly measures and tests gender bias using household expenditure and food consumption data. Using both parametric and semiparametric estimates, we find that households need a higher compensation for the arrival of a boy than the arrival of a girl, implying that gender inequality still exists in China, particularly in rural China. We find no evidence that education reduces gender inequality in China, and the results are quite robust to using different methods. Our study indicates that gender inequality does not only extend to sex-selective abortions but still affects living children. To reduce this inequality, more attention and efforts are needed to reduce son preference. More generally, the method developed in this study can also be used to proxy welfare changes in household.     

Returns to military service in off-farm wage employment: Evidence from rural China

This paper studies the returns to military service in off-farm wage employment and the implications of military service on the rural-urban transition in rural China. We exploit government-induced variations in aggregate enrollment rates as our instrumental variable. Using data from the China Family Panel Studies, we find a substantial positive effect of military service on off-farm wage employment and earnings for men of rural origin, which is comparable in magnitude to the estimated returns to a college education in China. We also provide evidence that the earnings premium is likely to be explained by improved access to urban formal employment, political and human capital accumulation. However, in spite of the off-farm employment gain for all cohorts, we find that the positive earnings premium of military service is mainly concentrated among the pre-1970 cohort.     

Is there a trade-off between the employment and wages of unskilled African South Africans?

The possible trade-off between employment and wages has characterised most of South Africa’s labour market debates, particularly with regards to decent wages versus unemployment. In this article we explore the relationship between labour market earnings and the level of employment among African birth cohorts using labour force data from 1997 to 2011. We find that the association between an increase in the proportion of unskilled employed in a birth cohort and earnings is mediated by the sector of employment. While some sectors exhibit the expected negative association, there is a robust positive relationship between the first two quartiles of the earnings distribution within birth cohorts and the proportion of the birth cohort who are employed in unskilled occupations in the manufacturing and trade sectors. Because a range of market forces determine this relationship, further research is needed to unpack the reasons for such varied outcomes in order to better inform the debates on labour market interventions like the proposed National Minimum Wage and to appreciate the potential impact of such policy interventions on wages and employment.     

扩招、教育选择与教育公平

基于CHIP2002和CHIP2007数据，采用双重差分( DID)、线性概率模型( LPM)研究扩招对于个人教育选择及教育公平的影响。研究发现：扩招后个人选择接受高等教育的概率提高6．9个百分点。具体而言，扩招使得个人接受大专教育的概率提高10．3个百分点，接受大学本科教育的概率提高6．4个百分点。扩招并没有改善在性别、民族、家庭文化背景(父母受教育水平)方面的差异引起的教育不平等，扩招政策没有起到促进教育公平的作用，最后提出促进教育公平的建议。     

Social network,intra-network education spillover effect and rural–urban migrants' wages: Evidence from China

This study examines the determinants of rural–urban migrant wages, paying special attention to the intra-network education spillover effect of the migrants' social network in China. Using the new migrant sample of Rural Urban Migration in China (RUMiC) 2009 survey data, we find that the migrants' social network does have a significant impact on their own earnings. In particular, we find evidence that there exists an education spillover effect of the migrants' social network, which indicates that the education level of the migrants' social network has a significant positive effect on their earnings. We also find that the education spillover effects differ with gender. The results are robust after considering the potential problem of endogeneity.     

中国农村收入不平等—基于微观调查数据的回归分解

论文利用2003-2008年CGSS的微观个体调查数据,运用回归分解方法对中国农村收入不平等进行分解。首先对收入不平等进行测算,研究发现农村收入极端不平等,并且呈上升趋势。回归分解结果表明,年龄、教育、性别、东部地区虚拟变量、政治地位、婚姻、健康和幸福感是对农村收入不平等的决定要素。其中教育、年龄、性别、东部地区虚拟变量和健康对农村收入不平等的贡献显著。其余变量对农村收入不平等的贡献相对较小,但其对农村收入不平等的影响也不能被忽视。研究结论对政府制定科学合理的收入分配政策和有效调控收入差距具有借鉴作用。     

Returns to education in China: Evidence from the great higher education expansion

China experienced a near 5-fold increase in annual Higher Education (HE) enrolment in the decade starting in 1999. Using the China Household Finance Survey, we show that the Great HE Expansion has exacerbated a large pre-existing urban-rural gap in educational attainment underpinned by the hukou (household registration) system. We instrument the years of schooling with the interaction between urban hukou status during childhood and the timing of the expansion – in essence a difference-in-differences estimator using rural students to control for common time trends. We find that the Great HE raised earnings by 17% for men and 12% for women respectively, allowing for county fixed-effects. These Two Stage Least Squares (2SLS) estimates, which are robust to additional controls for hukou status at birth fully interacted with birth hukou province, can be interpreted as the Local Average Treatment Effect (LATE) of education on earnings for urban students who enrolled in HE only because of the Great HE Expansion. For the selected subsample of respondents with parental education information, we find that the 2SLS returns for students from more disadvantaged backgrounds are at least as high as their more advantaged counterparts, for both genders.     

Migration,population aging,and income inequality in China

In this study, we examine the effects of four demographic factors, namely, birth, death, natural aging, and net migration, on population aging and income inequality in China. We use the official Chinese data and the China Household Income Project Survey data for the 2007–2013 period and apply a decomposition model based on the Shapley method. Unlike previous studies, we include migration in our decomposition model and find that natural aging is the primary factor contributing to population aging in both urban and rural areas. Further, migration may accelerate population aging in rural areas. Moreover, migration contributes to reducing income inequality in urban areas, while widening income inequality in rural areas. The effect of migration is larger than those of birth, death, and natural aging on income inequality. The robustness checks confirm these conclusions.