Consumption Structure of Migrant Worker Families in China

Cao, Guang-Zhong; Li, Kai; Wang, Ruimin; Liu, Tao

doi:10.1111/cwe.12203

Cited by 28 publications

(27 citation statements)

References 33 publications

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“…Otherwise, loss of job or home, major injuries and illnesses, and old age are just some of the things that could send migrants packing. Migrants are likely less willing or able to invest in housing when they are concerned about losing their urban livelihoods or having to save up money for contingencies [9]. For these reasons, we hypothesize a positive relationship between access to urban social insurance and homeownership.…”

Section: Introductionmentioning

confidence: 95%

Toward Human-Centered Urbanization? Housing Ownership and Access to Social Insurance Among Migrant Households in China

Wen

Wallace

2019

Sustainability

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For the past few years, China's urbanization policy has focused on expanding welfare and affordable housing for rural migrants so as to encourage them to put down roots in the city. The international literature disagrees on the relationship between homeownership and welfare-whether the former is a substitute for or a consequence of the latter. Using multilevel logistic regression on a 2015 nationally representative survey, this paper explores the determinants of housing ownership among China's rural migrant households in their city of residence, focusing particularly on access to urban social insurance. The results show that institutional ties to the city such as enrollment in local pensions and health insurance are associated with higher likelihood of homeownership. This paper argues that policy interventions should target the social security system, as rural migrants are likely unwilling or unable to invest in urban housing due to the increased risk and precarity they typically experience. The findings also suggest that to make urbanization more sustainable, the government should aim at making cities more family-friendly, expanding alternatives to employment-based social insurance schemes, and targeting efforts on interior cities in migrant-sourcing provinces that pose fewer barriers to permanent settlement.

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Section: Introductionmentioning

confidence: 95%

Toward Human-Centered Urbanization? Housing Ownership and Access to Social Insurance Among Migrant Households in China

Wen

Wallace

2019

Sustainability

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“…Because they lack household registration where they work, they cannot enjoy certain rights, such as free education and access to social welfare [3]. According to Reports of China National Monitoring Survey of Migrant Workers (2015), the proportion of housing in total consumption of migrant workers was 48.6%; this proportion was only 24.1 % in urban residents, thus indicating a tremendous difference in consumption structure [4]. Furthermore, migrant workers have to pay expensive rent and have no rights available to buy a house even they have enough money because of Hukou (the household registration system) restrictions [5].…”

Section: Introductionmentioning

confidence: 99%

The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis

Chen

Wang

Wei

et al. 2019

IJERPH

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Objective: The aim of this study was to identify the potential psychological mechanism of well-being in migrants in Shanghai, China. Methods: A cross-sectional study was conducted in 2018. First, a literature review was conducted to understand the salutogenesis of migrants in China. Then, 2573 random participants were recruited from six workplaces and public places in six districts of Shanghai. The Chinese versions of the Patient Health Questionnaire-9 (PHQ-9), the Personal Wellbeing Index (PWI), and the Sense of Coherence (SOC) Scale were used to evaluate the depression, subjective well-being (SWB), and SOC of migrants. The t-test, ANOVA, and multiple linear regression and structural equation models (SEM) were used to analyze the correlations and paths among generalized resistant resources (GRRs), SOC, PHQ, and SWB. Results: The subjects were aged between 18 and 58 (mean, 28.17; SD, 6.99). SOC showed a positive correlation with SWB (r = 0.46, p < 0.001) and a negative correlation to PHQ (r = –0.53, p < 0.001). After controlling for the demographic characteristics, we found that PHQ, SOC (comprehensibility, manageability, meaningfulness), and GRRs (income ratio, marital status) contributed 33.3% of the variance in SWB, and their linear regression coefficients were: −0.32 (p < 0.001), 0.09 (p < 0.001), 0.09 (p < 0.001), 0.15 (p < 0.001), 0.06 (p < 0.05), and 0.16 (p < 0.05), respectively. These findings not only confirmed the direct association among SOC, PHQ and SWB, but also verified two underlying mechanisms regarding the mediating effect of SOC by using SEM: (1) GRRs (income ratio, marital status) are positively associated with a higher SOC, which further contributes to favorable SWB; and (2) PHQ is negatively associated with poor SWB indirectly via SOC. Conclusion: Migrant workers with low SOC and high PHQ are vulnerable to poor well-being levels. Meanwhile, GRRs (income ratio, marital status) may strengthen the SOC level, and can be regarded as the basis of intervention. Further investigation may be needed to focus on external psychological support factors.

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“…Compared with ordinary least squares (OLS) method that offers only one regression curve, is subject to interference of abnormal value, and limited in effective information of mined data, the quantile regression is based on minimization of the sum of the absolute values of the residuals, is subject to little influence of outliers, has strong estimation robustness, and low requirements for assumption of error term, thus using quantile regression, it is able to obtain large volume of data information in looser conditions, so as to understand relationships of economic phenomena in detail, and reveal intrinsic mechanism of variable distribution and spatio-temporal distribution (Gu and Pang, 2008;Peng, 2015;Cao et al, 2017).…”

Section: Quantile Regression Methodsmentioning

confidence: 99%

Spatial pattern and influencing factors of county consumption level

Jiulin¹,

Chu²,

Chen³

et al. 2018

J. Geogr. Reg. Plann.

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The aim of this paper is to improve the level of consumption in the region and achieve sustained and steady regional economic growth. According to global autocorrelation calculation, the difference in county consumption level of the Wanjiang City Cluster since 2004 generally takes on an increasing trend, while the consumption level presents unbalanced development. Evolution of spatial distribution pattern indicates that high level consumption areas are mainly distributed along Yangtze River and these areas are constantly expanding, while low level consumption areas are situated in central Anhui and southwest mountain areas of Anhui. The differentiation pattern of consumption level gets constantly increasing and tends to remain stable. Quantile regression approach was used in different quantiles to depict effects of influencing factors on consumption level. In all quantiles, per capita GDP, per capita financial revenue, and average wage exert a positive effect on county consumption level, while the per capita industrial added value and net income of farmers produce a negative effect on county consumption level. Based on the overall grasp of the influencing factors of the regional consumption level and the quantile regression analysis, in order to improve the consumption level in the region and reduce the difference in regional consumption, policy makers should make every effort to improve the basic conditions for regional economic development and implement it in a targeted manner when formulating the regional consumption policy Countermeasures to Improve Regional Consumption Level.

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Consumption Structure of Migrant Worker Families in China

Cited by 28 publications

References 33 publications

Toward Human-Centered Urbanization? Housing Ownership and Access to Social Insurance Among Migrant Households in China

Toward Human-Centered Urbanization? Housing Ownership and Access to Social Insurance Among Migrant Households in China

The Potential Psychological Mechanism of Subjective Well-Being in Migrant Workers: A Structural Equation Models Analysis

Spatial pattern and influencing factors of county consumption level

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