Abstract

From the perspective of multidimensional poverty theory, this paper takes the low-income population in District J of Shanghai as the sample for analysis, and explores six dimensions of poverty, i.e., income, health, education, employment, social participation, and whether there are children in the family, and divides the population covered by subsistence allowances into three levels of poverty: high, moderate and low. We find that: (1) 71% of individuals suffer from poverty at moderate levels or above; (2) There is a clear trend of “cluster disadvantage” at high poverty levels among families with children; (3) Women, especially women without registered resident status in Shanghai, are particularly vulnerable to poverty. These “silent minorities” should be the targets of priority intervention for social assistance; (4) From a geographical perspective, areas with high poverty intensity tend to be “concentrated and connected” in space. (5) In terms of service strategies, according to the poverty intensity which can be divided into three levels of “high, moderate and low,” this article proposes four types of assistance services: “general preventive, basic living needs ensured, supportive and development-oriented, and urgent protective,” in order to maximize the use of limited welfare resources for the best benefits of the most group in need.

Highlights

  • With the proposal of China’s national strategic goal of targeted poverty alleviation and eradication, multidimensional poverty research focusing on poor rural areas has blossomed

  • From the perspective of multidimensional poverty theory, this paper presents an empirical analysis of the population covered by subsistence allowances in District J of Shanghai (5441 households and 7532 people) in three dimensions: (1) Poverty dimensions: this paper explores the “contribution rate” of each of the six dimensions to overall multidimensional poverty

  • The Pearson correlation test is used to evaluate the correlation matrix between the dimensions (Table 4): Overall, the correlation between the five dimensions, i.e., education, health, employment, social participation and children, is relatively low, which are adaptable as dimensions in multidimensional poverty measurement

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Summary

Background

With the proposal of China’s national strategic goal of targeted poverty alleviation and eradication, multidimensional poverty research focusing on poor rural areas has blossomed. There have been relatively few studies on the urban poor, especially in metropolises such as Shanghai. How poor exactly are these people, and in which aspects? Who are the poorest of the poor?. (3) Proposal of welfare policies: suggested countermeasures for poverty alleviation in metropolises are proposed from both theoretical and practical perspectives, so as to concentrate limited welfare resources on the poor in the most cost-effective way, and provide genuine multidimensional solutions for welfare policies, towards realizing the final goal of supporting the sustainable development of the poor From the perspective of multidimensional poverty theory, this paper presents an empirical analysis of the population covered by subsistence allowances in District J of Shanghai (5441 households and 7532 people) in three dimensions: (1) Poverty dimensions: this paper explores the “contribution rate” of each of the six dimensions (income, health, education, employment, social participation and whether there are children in the family) to overall multidimensional poverty. (2) Poverty intensity: the AF method is used to measure the intensity of poverty endured by different groups in the sample in the above six dimensions, and identify “the poorest of the poor”, so as to inform welfare policies in prioritizing the most needy groups. (3) Proposal of welfare policies: suggested countermeasures for poverty alleviation in metropolises are proposed from both theoretical and practical perspectives, so as to concentrate limited welfare resources on the poor in the most cost-effective way, and provide genuine multidimensional solutions for welfare policies, towards realizing the final goal of supporting the sustainable development of the poor

Origin of the Problem
How to Measure
Development of Poverty Theory
Multidimensional Poverty Measurement
The Selection of Multidimensional Poverty Dimensions
Correlation Coefficient Test of Different Poverty Dimensions
How Poor Exactly
Basic Profile of Research Objects
Measurement of Multidimensional Poverty
High Poverty Rate and Relatively High Overall Poverty Intensity
Population Clustering of the Multidimensionally Poor
Regional Clustering of the Multidimensionally Poor
Findings
Practical Level
Full Text
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