Results 21 to 30 of about 16,475 (259)

Multidimensional poverty indices [PDF]

open access: yesSocial Choice and Welfare, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Dynamics of multidimensional poverty and its determinants among the middle-aged and older adults in China

open access: yesHumanities & Social Sciences Communications, 2023
The aim of this study was to understand the dynamics of multidimensional poverty and its determinants among mid-aged and older adults. We used 2011, 2013, 2015, and 2018 data from the China Health and Retirement Longitudinal Study.
Qun Wang, Lu Shu, Xiaojun Lu
doaj   +1 more source

Comparative Study of Poverty in Indonesia: Multidimensional Poverty And Monetary Poverty

open access: yesJIET (Jurnal Ilmu Ekonomi Terapan), 2016
Research on poverty has long been done by various methods and approaches. Approach to identifying the poor in general by calculating consumption expenditure or income revenue. The calculation is then known as monetary poverty.
Tegar Rismanuar Nuryitmawan
doaj   +1 more source

Does Land Lease Affect the Multidimensional Poverty Alleviation? The Evidence from Jiangxi, China

open access: yesLand, 2023
This study uses field survey data from 382 families in the year 2020 in Jiangxi province, China, to explore the effects of land lease and labor migration, a well-known occurrence in China, on rural households’ multidimensional poverty status. We used the
Hui Xiao   +4 more
doaj   +1 more source

Multidimensional Poverty and Its Discontents [PDF]

open access: yesSSRN Electronic Journal, 2011
More data on non-income dimensions of poverty are available than at any previous time in history. Alongside this, multidimensional measurement methodologies have advanced considerably in the past fifteen years. These advances together have created new possibilities to measure multidimensional poverty at the local, national and international level.
openaire   +4 more sources

Analyzing multidimensional measures of poverty and their influences in China's Qinba Mountains

open access: yesChinese Journal of Population, Resources and Environment, 2020
:: We use the Alkire–Foster poverty measure and decomposition method to study multidimensional poverty in the Qinling–Daba contiguous poor area of China's Henan Province.
Wenxian Jiao
doaj   +1 more source

Does building the resilience of rural households reduce multidimensional poverty? Analysis of panel data in Ethiopia

open access: yesScientific African, 2021
Enhancing resilience capacity holds the key to welfare improvement. While there are assumptions that resilience has led to curbing poverty, in fact, the empirics are limited to ascertain the linkages between resilience and multidimensional poverty and ...
Dereje Haile   +2 more
doaj   +1 more source

Gender Differences of Multidimensional Child Poverty in China: Spatial-Temporal Variation and Influencing Factors

open access: yesRedai dili, 2023
Children are the hope of the future, but they are also the most vulnerable to poverty. Gender differences in children have been a major concern in society, and research on gender differences in multidimensional child poverty and their causes has ...
Hai Shaoqi, Wang Xia, Shi Shuyue
doaj   +1 more source

Can Land Transfer Alleviate Multidimensional Relative Poverty in Rural Areas?

open access: yesLand
After eliminating absolute poverty, China’s anti-poverty efforts have shifted towards multidimensional relative poverty. This study uses microdata from the Chinese Academy of Agricultural Sciences (CAAS) from 2012 to 2021, applies the Kakwani index to ...
Benjian Wu   +4 more
doaj   +1 more source

Breaking the chains of poverty: examining the influence of smartphone usage on multidimensional poverty in rural settings

open access: yesHumanities & Social Sciences Communications
We analyze the impact of smartphone usage on multidimensional poverty reduction. Utilizing the A-F approach, we compute a multidimensional poverty index based on five dimensions: education, health, income, living standard, and labor force.
Xian Liang   +5 more
doaj   +1 more source

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