Toward an Empirical Analysis of Income and Time Poverty in Urban China

2021 ◽  
pp. 002190962110439
Author(s):  
Wei Wang

Many earlier studies have assessed Chinese poverty using monetary dimensions, but few have considered the time dimension. This research investigates multidimensional poverty in urban China, using data from the 2013 China Household Income Project, from the standpoints of income and time. A logistic regression model was used to estimate the socioeconomic causes of income poverty, time poverty, and income–constrained time poverty. Empirical results obtained from this study reveal that being a paid female worker or a private enterprise employee and bearing the financial burdens of housing and medical care have significant effects on the probability of being time poor. In addition, workers who have low academic achievement, children, and educational loans are particularly prone to suffering income–constrained time poverty. This study contributes to the assessment of severe poverty situations and suggests an increasing need for working time regulations and more support for less-educated workers in urban China.

2013 ◽  
Vol 42 (4) ◽  
pp. 763-781 ◽  
Author(s):  
JIN HUANG ◽  
MINCHAO JIN ◽  
SUO DENG ◽  
BAORONG GUO ◽  
LI ZOU ◽  
...  

AbstractDefining asset poverty as insufficiency of assets to satisfy household basic needs for a limited period of time, the study examines asset-poverty rates in urban China using the 2002 survey data from the Chinese Household Income Project (CHIP). We find that asset-poverty rates in urban China are lower than those of developed countries, in part due to Chinese households’ strong commitment to precautionary savings and the low poverty standards. However, the liquid asset-poverty rate is five times that of the income-poverty rate in urban China. Notably, the asset-poverty-gap ratio shows that most households in asset poverty have zero liquid assets or negative net worth. Asset building could be an integral part of the anti-poverty agenda to protect the poor from economic hardship and provide them with opportunities for economic growth.


2020 ◽  
Vol 6 (2) ◽  
pp. 286-314
Author(s):  
Jia Wang ◽  
James M Raymo

In this study, we examined whether and how the income gradient in child well-being may vary by grandparental coresidence and proximate residence in Japan, a country characterized by a high prevalence of intergenerational proximity and intensive family investment in children’s development. Using data from the Japan Child Panel Survey, we first demonstrated that household income is positively associated with multiple dimensions of children’s well-being, a relationship that was particularly strong for cognitive skills. We also found that children from lower-income families were more likely to coreside with grandparents than their counterparts from middle- and higher-income families, and that children from both lower- and higher-income families had similar likelihoods of living near their grandparents. However, children in lower- and higher-income families who coresided with grandparents had lower math and Japanese test scores than those living at a distance. These relationships resulted in smaller income gradients in test scores for children coresiding with grandparents and near their grandparents, relative to those whose grandparents lived farther away. International comparisons showed that the income gradient in children’s academic performance is largest in the US and smallest in urban China, with Japan being in the middle, and that multigenerational coresidence is generally associated with worse cognitive outcomes for children in both lower- and higher-income families across these three very different contexts. These findings provide new insights into the complex ways in which intergenerational proximity is related to economic disparities in children’s well-being.


2021 ◽  
Vol 20 (6) ◽  
pp. 1701-1715
Author(s):  
Wen-bo ZHU ◽  
Yong-fu CHEN ◽  
Jing ZHAO ◽  
Bei-bei WU

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qun Miao ◽  
Sandra Dunn ◽  
Shi Wu Wen ◽  
Jane Lougheed ◽  
Jessica Reszel ◽  
...  

Abstract Background This study aimed to examine the relationships between various maternal socioeconomic status (SES) indicators and the risk of congenital heart disease (CHD). Methods This was a population-based retrospective cohort study, including all singleton stillbirths and live births in Ontario hospitals from April 1, 2012 to March 31, 2018. Multivariable logistic regression models were performed to examine the relationships between maternal neighbourhood household income, poverty, education level, employment and unemployment status, immigration and minority status, and population density and the risk of CHD. All SES variables were estimated at a dissemination area level and categorized into quintiles. Adjustments were made for maternal age at birth, assisted reproductive technology, obesity, pre-existing maternal health conditions, substance use during pregnancy, rural or urban residence, and infant’s sex. Results Of 804,292 singletons, 9731 (1.21%) infants with CHD were identified. Compared to infants whose mothers lived in the highest income neighbourhoods, infants whose mothers lived in the lowest income neighbourhoods had higher likelihood of developing CHD (adjusted OR: 1.29, 95% CI: 1.20–1.38). Compared to infants whose mothers lived in the neighbourhoods with the highest percentage of people with a university or higher degree, infants whose mothers lived in the neighbourhoods with the lowest percentage of people with university or higher degree had higher chance of CHD (adjusted OR: 1.34, 95% CI: 1.24–1.44). Compared to infants whose mothers lived in the neighbourhoods with the highest employment rate, the odds of infants whose mothers resided in areas with the lowest employment having CHD was 18% higher (adjusted OR: 1.18, 95% CI: 1.10–1.26). Compared to infants whose mothers lived in the neighbourhoods with the lowest proportion of immigrants or minorities, infants whose mothers resided in areas with the highest proportions of immigrants or minorities had 18% lower odds (adjusted OR: 0.82, 95% CI: 0.77–0.88) and 16% lower odds (adjusted OR: 0.84, 95% CI: 0.78–0.91) of CHD, respectively. Conclusion Lower maternal neighbourhood household income, poverty, lower educational level and unemployment status had positive associations with CHD, highlighting a significant social inequity in Ontario. The findings of lower CHD risk in immigrant and minority neighbourhoods require further investigation.


2021 ◽  
Vol 12 (1) ◽  
pp. 40-55
Author(s):  
Nguyen Quang Phuc ◽  
A. C. M. (Guus) van Westen ◽  
Annelies Zoomers

The purpose of this study is to investigate the determinants of household income following the loss of land owing to urban expansion in central Vietnam. Using data mainly from household surveys in the peri-urban areas of Hue city, the regression model indicates that demographic factors and livelihood strategy choices have important impacts on household income; financial compensation and support packages do not appear to be strong determinants of household income after the loss of land. This implies a failure of the current compensation programmes in the process of compulsory land acquisition, because the government believes that compensation packages make important contributions to livelihood reconstruction. This study suggests that investing in education and skill training for household members affected by land loss as well as assistance in converting compensation money into an adequate livelihood should be taken into consideration.


2021 ◽  
pp. 002204262110004
Author(s):  
Alejandro Azofeifa ◽  
Rosalie L. Pacula ◽  
Margaret E. Mattson

Given the rapidly changing U.S. cannabis legislation landscape, the aim of this article is to describe individuals who self-reported growing cannabis in the past year by selected characteristics and geographical location. Using data from 2010 to 2014 National Survey on Drug Use and Health, we conducted bivariate chi-square tests and ran a multivariable logistic regression model to examine the indicators associated with growing cannabis. Approximately, 484,000 individuals aged 12+ self-reported growing cannabis in the past year (1.6% of marijuana users). Predictors of growing cannabis included being male and self-reported reporting using cannabis for a greater number of days. Data showed differences in the proportion of cannabis growers by the state of residence. Obtaining a baseline estimate of cannabis growing practices prior to recreational cannabis markets emerging (2014) is important because such practices may undermine efforts to discourage diversion to youth. Tracking these acquisition patterns will better inform content for public health messaging and prevention education, particularly those targeting youth.


2021 ◽  
pp. 1-52
Author(s):  
Eric Brunner ◽  
David Schwegman ◽  
Jeffrey M. Vincent

Abstract We examine how funding for public school facilities varies with school district property wealth and household income. Using data on school facility (i.e., capital) funding in California from fiscal years 1986-87 to 2015-16, we find that funding for school construction and modernization varies widely across districts. Disparities in funding are driven primarily by inter-district differences in property wealth with the highest property wealth districts raising significantly more funding for school facilities. Assessed value per-pupil in California is also negatively correlated with the share of disadvantaged students and students of color. As a result, school facility funding tends to be substantially lower in districts with the highest concentrations of disadvantaged students and students of color.


2019 ◽  
Vol 48 (4) ◽  
pp. 765-787
Author(s):  
YUANYUAN YANG ◽  
JUN-HONG CHEN ◽  
MINCHAO JIN

AbstractThere is a large body of literature asserting that household asset holdings play a critical role in prospects of economic and social well-being. This study examines asset-poverty rates in China using the 2013 survey data from the Chinese Household Income Project (CHIP). The results indicate that asset-poverty rates in urban China were lower than those of developed countries, whereas rural and migrant households experienced more serious asset poverty than their counterparts in urban China. In addition, the asset-poverty rates were at least twice the income-poverty rates in China according to the different poverty lines used in the study. Several demographic characteristics were found associated with asset poverty. To assist the Chinese government in reaching its goal of eradicating absolute poverty by 2020 through targeted poverty alleviation, this study suggests including assets in the description and alleviation of poverty.


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