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Aiding employment is an important poverty reduction strategy in many countries’ social welfare systems, as this strategy can help empower the recipients with a better living standard, development and social inclusion. The purpose of this paper is to identify the most significant individual and systematic variables for the employment status of low-income groups in urban China.

The data of this study are drawn from “Social Policy Support System for Poverty-stricken Families in Urban and Rural China 2015” report. The Ministry of Civil Affairs of the People’s Republic of China appointed and funded the Institute of Social Science Survey (ISSS) at Peking University to deliver the related project and organize a research team to write the report. Multiple binary logistic regression analysis is adopted to identify both individual and systematic factors that affect the employment status among low-income groups in urban China.

According to the results of the binary logistic regression model, individual factors, including: gender; householder status; education; and self-rated health status, play a significant role in determining the employment status of low-income groups in urban China. Clearly, the impacts of individual factors are more influential to marginal families than to families entitled to receive Basic Living Allowance. In contrast, compared with marginal families, systematic factors are more influential to families entitled to receive Basic Living Allowance.

This study highlights the importance of precise poverty reduction strategy and the issue of “welfare dependence” among low-income groups in urban China. Policy recommendations derived from the findings are hence given, including: the promotion of family-friendly policies; the introduction of a smart healthcare system; the establishment of a Basic Living Allowance adjustment mechanism; and the provision of related social services.

The purpose of this paper is to compare home care workers' views of their employment conditions by provider type – private for-profit vs public and non-profit – using the case study of Ireland.

An online survey was distributed to care workers (n = 350) employed by private for-profit, public and non-profit home care providers in Ireland. Returned questionnaires were analysed statistically in R using chi-squared tests to systematically compare key aspects of employment conditions.

Analysis shows that conditions are perceived to be significantly worse for those employed by private for-profit providers (and to a lesser extent non-profit organisations) compared to the public provider. There are wide disparities between public and private sector conditions in terms of contracts, pensions, unsocial hours pay and travel time allowances. The main area of convergence is in relation to employer support, where although the public sector performed better, the difference between the three provider types is smaller.

Relatively little research compares working conditions in private for-profit providers vs public and non-profit providers in Ireland and other countries. The findings can be understood in the context of marketisation reforms and may partly be explained by a lack of regulation in Ireland's home care sector and low unionisation rates amongst care workers employed by private for-profit providers.