Social determinants of household wealth and income in urban China

Jin, Yinli; Xie, Yu

doi:10.1177/2057150x17695689

Cited by 33 publications

(29 citation statements)

References 51 publications

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“…The evidence obtained is in accordance with earlier studies which have shown individuals with higher levels of education are more likely to hold jobs that involve performing more complex tasks and that have better career perspectives and retirement plans. This result is also consistent with a study conducted by [9,16,39], and [40].…”

Section: Determinate Of Income Inequalitysupporting

confidence: 94%

Analysis of poverty, income inequality and their effects on food insecurity in southern Ethiopia

Debebe

Zekarias

2020

Agric & Food Secur

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Background Reduction of poverty and income inequality, and ensuring food security is the main goal of the Ethiopian government. In response, declines of national poverty were observed over time, but it is still a worrying concern as a significant proportion of the population remains poor. However, the trends of income inequality are rising substantially over time and thereby might exacerbate the food insecurity status in the country. This study aims to measure, identify determinants, and analyze the effects of poverty and income inequality on food insecurity status of households in Sawla town of southern Ethiopia. Methodology A two-stage sampling technique was used to select 227 sampled households’ heads. This study applied descriptive statistics, Foster Greer Thorbecke approach, binary logistic, and quantile regression models to analyze the data. Results The finds of this study reveals that 34% of households are living below the poverty line with a poverty gap index of 11% and severity index of 5.6%. The average income inequality with Gini coefficient index is found to be 0.447. Both poverty and income inequality result is quite larger than the national average of the country. The sample households are food insecure with 20.7% depth and 13% severity indexes of food insecurity. The levels of poverty and income inequality are more worrisome among the food-insecure households. Moreover, the logistic regression model shows that levels of education, family size, being divorced, the main occupation, savings, and house ownership negatively and significantly affected the household level of poverty. Quantile regression model result shows that age, level of education, income, family size, health, savings, remittances, electric, credit, and house ownership affected households’ level of income of the study area. Conclusion The study suggests strengthening the existing welfare-oriented strategies by undertaking intra-household resource allocations for women, encouraging participation of diversified business activities, promoting the use of family planning methods, strengthening formal education, microfinance institution and housing program by targeting impoverished households in the town.

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Section: Determinate Of Income Inequalitysupporting

confidence: 94%

Analysis of poverty, income inequality and their effects on food insecurity in southern Ethiopia

Debebe

Zekarias

2020

Agric & Food Secur

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“…In China, the return on human capital has been rising as market reforms have deepened, making education an increasingly important driver of housing wealth (Wang et al, 2016;Jin and Xie, 2017). As market-oriented reform proceeded, political power and sector of employment (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Finally, according to power persistence theory (Bian and Logan, 1996), households that were favored before the housing reform continue to be privileged in and after the housing reform because of the heritage of socialist institutional arrangements (Fang and Iceland, 2018). In a more recent study, Jin and Xie (2017) revealed that political capital matters more in driving housing wealth while market factors (education and work experience) are relatively more important in determining non-housing wealth.…”

Section: Literature Reviewmentioning

confidence: 99%

What Drove Housing Wealth Inequality in China?

Wan

Wang

2021

China and World Economy

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Although China is experiencing a deterioration in wealth distribution where housing is playing a dominant role, this issue has received scant research attention despite its importance. Combining four rounds of the China Household Finance Survey (CHFS) data, this paper measures and discusses wealth inequality in China, with a special emphasis on the contribution of housing. Our analysis reveals that housing is the largest contributor to wealth inequality, responsible for around 70 percent of total wealth inequality, and its contribution has been increasing over time. Our research efforts have focused on the housing wealth disparity, exploring its composition from alternative perspectives. The results show that housing wealth inequality has also been rising over time and an absolute majority of housing wealth inequality is due to within-group gaps. Finally, we employ Wan's (2004) regression-based decomposition methodology to quantify the contributions of different determinants to housing wealth disparity in China, and to demonstrate serious biases in the conventional approach that is often used to analyze housing wealth inequality.

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“…Bian, 2002; Bian and Lu, 2014; Fu et al., 2015; Jin, 2018; Logan et al., 1999, 2009, 2010; Ren and Hu, 2016; Song and Xie, 2014; Szelenyi, 1983; Walder and He, 2014; Walder and Hu, 2009; Xie and Jin, 2015; Zhou and Logan, 1996; Zhou and Suhomlinova, 2001). In the literature on housing stratification and inequality in urban China, the prevailing wisdom is that individuals’ housing statuses result from their own achievement, and the impact of parental characteristics and housing inheritance is rarely explored (Jin, 2018). However, in the context of China’s housing reform, which led to large-scale commodification and privatisation of urban housing (Bian, 1997; Chen and Gao, 1993; Walder and He, 2014), housing inheritance and parental financial assistance in housing acquisition have become increasingly prevalent.…”

Section: Introductionmentioning

confidence: 99%

Intergenerational housing asset transfer and the reproduction of housing inequality in urban China

2018

Chinese Journal of Sociology

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After the massive commodification of urban housing in the 1990s, housing inequality is now a major source of wealth inequality in urban China. Previous studies of housing inequality have rarely explored the extent and mechanisms of intergenerational housing inequality reproduction. This study fills this gap and examines how intergenerational housing asset transfer affects housing status in contemporary urban China. An analysis of data from the 2006 Chinese General Social Survey yields two important findings. First, ascribed factors such as parental social status have a greater influence than individuals’ own social status on their housing status. Second, intergenerational housing asset transfer has become an important mechanism of housing inequality reproduction. Elite parents are more likely to provide transferred assets, which prevents their downward-mobilised children from changing their relative housing status. Against the backdrop of rising wealth inequality in China, this study illustrates how the intergenerational transmission of economic resources is becoming an increasingly important mechanism of inequality reproduction.

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Social determinants of household wealth and income in urban China

Cited by 33 publications

References 51 publications

Analysis of poverty, income inequality and their effects on food insecurity in southern Ethiopia

Analysis of poverty, income inequality and their effects on food insecurity in southern Ethiopia

What Drove Housing Wealth Inequality in China?

Intergenerational housing asset transfer and the reproduction of housing inequality in urban China

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