Multidimensional Relative Poverty of Farmers in Tibetan Areas – Based on a Data Analysis on Micro Surveys

In 2020, the issue of absolute poverty has been solved, and China is building a well-off society in an all-round way. The issue of relative poverty is an important content of poverty reduction. Based on a survey data from Danba County in October 2020, this paper uses the AF method to calculate the incidence of multidimensional poverty and the multidimensional poverty index. The results showed that 44.65% of the farmers have multidimensional deprivation of any three indicators of relative poverty, and 2.79% of the farmers have serious multidimensional deprivation; the incidence of one-dimensional poverty in terms of “educational level index of head of household,” “per capita non-transfer income of households in 2019,” and “per capita household income in 2019” is the highest; at the same time, the contribution rate of the three indicators to the multidimensional poverty index is also higher than other indicators. Therefore, several suggestions have been put forward to alleviate the multidimensional relative poverty in the region from the aspects of industry development and education.

The influence of multidimensional deprivation on problem drinking developmental trajectory among young adults: a longitudinal study using latent class growth analysis

Background Many young people in Korea today experience deprivation in various areas of life. The social determinants of health approach maintains that social factors play an important role in an individual’s physical and mental health. This study aimed to investigate the problem drinking trajectory of young Korean people and identify the effects of multidimensional deprivation on problem drinking. Methods The study used data from 2012 to 2018 found in the Korea Welfare Panel Study. Latent class growth analysis was performed to determine the number of trajectories of problem drinking. After identifying latent classes, a multinomial logistic regression analysis was utilized to examine multidimensional deprivation as a predictor of class membership. Results Latent class analysis yielded three groups: (1) a low-level maintenance group (low level of alcohol use maintained at the low level), (2) a moderate-level increasing group (moderate level of problem drinking with a moderate increase in problem drinking), and (3) a risky drinking increasing group (high level of problem drinking with a rapid increase in problem drinking). Results from multinomial logistic regression showed that deprivation in housing and social deprivation increased the probability of belonging to the risky drinking increasing group compared to other reference groups. Conclusion The study speaks to the need to establish appropriate intervention strategies according to the level and changes in the pattern of alcohol use. The implications of housing and social deprivation concerning problem drinking among young Korean people are also discussed.

Measuring Social Vulnerability in an Urban Space Through Multivariate Methods and Models

This article proposes a quantitative analysis to measure social vulnerability in a urban space, specifically in the area of the Municipality of Rome. Social vulnerability can be defined as a situation in which people are characterized by a condition of multidimensional deprivation that encompasses multiple aspects of life and exposes population to different risks and hazards produced by natural, environmental, socioeconomic and epidemic factors. The analysis that follows presents the use of multivariate methods and models to provide an index for every dimensions of vulnerability (housing quality, social context, education, employment, urban mobility, social relations and economic conditions) and a global index for mapping social vulnerability. The analysis also succeeds in identifying significant vulnerability spatial patterns and to measure how and if vulnerability can be different in case of an observed heterogeneity in urban space.

Social exclusion in Pakistan: an ethnographic and regional perspective

PurposeThis paper is an attempt to analyze the nature and extent of social exclusion across regions, ethnolinguistic groups and different professions in Pakistan.Design/methodology/approachBy using household level data of Pakistan Social and Living Standard Measurement Survey, the authors have constructed Social Exclusion Index (SEI) as well as multidimensional deprivation scores across of the households. SEI has been developed by using multiple correspondence analysis (MCA) whereas multidimensional deprivation scores have been calculated by following the methodology proposed by Alkire and Foster 2011. In total nine household level indicators related with living standards, education and health have been used for this purpose. In next step the relationship of different household characteristics such as profession of household head region of residence and ethnolinguistic identity has been explored with SEI and multidimensional deprivation scores.FindingsThe empirical results of our analysis show that even after controlling for the income of household, SEI and multidimensional deprivation scores have been found to be significantly different across different professions, different regions and different linguistic groups.Originality/valueThis confirms the prevalence of social exclusion in Pakistani society. Compensatory government policies are suggested as an option to cope with the problem of social exclusion.

Measuring Child Multidimensional Deprivation: A Sustainability Perspective

Child multidimensional deprivation and poverty is a key challenge to achieving sustainable development. The aim of this paper is to present and apply a new composite index for evaluating the progress towards eradicating child poverty: the Child Multidimensional Deprivation Index (CMDI). This index stems from the foundational literature on multidimensional child poverty that is rooted in the work started by UNICEF and based on the seven core dimensions of multidimensional child deprivation, while considering two additional dimensions of environmental sustainability. The CMDI applies a novel method of aggregation that allows for flexibility of substitution between dimensions, therefore overcoming some of the limitations of conventional indices. Results for 24 countries show that most countries experienced a decrease in multidimensional deprivation in the years between 2010 and 2016, but some of the poorest countries saw an increase in deprivation. Additionally, in several countries, the decrease in child deprivation was small. Results also show that investment in social spending is associated with a lower level of deprivation. Investment in the social sector is crucial to achieving this goal and preventing the negative effects of economic and other types of crisis.

Multidimensional economic deprivation during the coronavirus pandemic: Early evidence from the United States

The coronavirus pandemic led to a severe economic shock in the United States. This paper uses a unique survey data collected early on in the pandemic to measure economic deprivation among individuals. The Federal Reserve Board fielded a Survey of Household Economics and Decision-making (SHED) in April 2020. This survey is used to compile data on four indicators of economic deprivation, namely: i) Overall financial condition, ii) Loss of employment, iii) Reduction in income and iv) Inability to pay bills in full. Data on these indicators is compiled for each individual and is used in a novel way to construct a set of multidimensional deprivation indices. These indices measure the overlap of deprivations experienced by an individual. Results show that almost 25 percent of the respondents faced hardships in at least two of the four indicators. More than 13 percent of adults reported their inability to pay monthly bills and struggled to make ends meet financially. One in four respondents had lower income compared to income from previous month. The economic shock affected Hispanics in a more profound way. More than 37 percent Hispanics reported hardship in two or more indicators and 8 percent reported hardship in all four indicators. Higher proportion of young adults and those without a college degree suffered multiple hardships. The paper highlights the plight of Americans during the early months of the economic crisis set in motion amid the coronavirus pandemic and sheds light on how economic disparities deepened along racial/ethnic lines.