Insight into the Multidimensional Poverty of the Mountainous Ethnic Minorities in Central Vietnam

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41340%2F23%3A97440" target="_blank" >RIV/60460709:41340/23:97440 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.3390/socsci12060331" target="_blank" >https://doi.org/10.3390/socsci12060331</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/socsci12060331" target="_blank" >10.3390/socsci12060331</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Insight into the Multidimensional Poverty of the Mountainous Ethnic Minorities in Central Vietnam

Popis výsledku v původním jazyce

Eliminating extreme poverty and reducing poverty levels among marginalized groups are essential to achieving the Sustainable Development Goals. Despite broad national-level studies on multidimensional poverty, there is a lack of specific research focusing on marginalized groups, particularly ethnic minorities. This study aims to identify the multidimensional poverty status and determinants of poverty among ethnic farmers in Thua Thien Hue province, Central Vietnam, based on a survey of 283 respondents. The Alkire-Foster method was utilized to measure multidimensional poverty, and a binary logistic regression model was applied to identify the determinants of multidimensional poverty among farmers. The results showed that about 33.57% of households are in multidimensional poverty. The deprivation in the six poverty dimensions was inconsistent, with income at 68.23%, education and health at 9.69%, housing at 7.19%, information access at 3.65%, and living conditions at 1.56%. Nine factors significantly affect the multidimensional poverty of ethnic minority households, including the age of household heads, family size, number of shocks, labor, farm size, tropical livestock units (TLUs), customers, traded input values, and training participation. Diversifying livelihood activities, building the infrastructure system to have closer access to central markets and main roads, and enhancing the capacity of farmers to cope with shocks are necessary solutions to reduce the multidimensional poverty of ethnic minorities in Central Vietnam.

Název v anglickém jazyce

Insight into the Multidimensional Poverty of the Mountainous Ethnic Minorities in Central Vietnam

Popis výsledku anglicky

Eliminating extreme poverty and reducing poverty levels among marginalized groups are essential to achieving the Sustainable Development Goals. Despite broad national-level studies on multidimensional poverty, there is a lack of specific research focusing on marginalized groups, particularly ethnic minorities. This study aims to identify the multidimensional poverty status and determinants of poverty among ethnic farmers in Thua Thien Hue province, Central Vietnam, based on a survey of 283 respondents. The Alkire-Foster method was utilized to measure multidimensional poverty, and a binary logistic regression model was applied to identify the determinants of multidimensional poverty among farmers. The results showed that about 33.57% of households are in multidimensional poverty. The deprivation in the six poverty dimensions was inconsistent, with income at 68.23%, education and health at 9.69%, housing at 7.19%, information access at 3.65%, and living conditions at 1.56%. Nine factors significantly affect the multidimensional poverty of ethnic minority households, including the age of household heads, family size, number of shocks, labor, farm size, tropical livestock units (TLUs), customers, traded input values, and training participation. Diversifying livelihood activities, building the infrastructure system to have closer access to central markets and main roads, and enhancing the capacity of farmers to cope with shocks are necessary solutions to reduce the multidimensional poverty of ethnic minorities in Central Vietnam.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50900 - Other social sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Social Sciences

ISSN

2076-0760

e-ISSN

2076-0760

Svazek periodika

12

Číslo periodika v rámci svazku

JUN 2023

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

17

Strana od-do

—

Kód UT WoS článku

001017989500001

EID výsledku v databázi Scopus

2-s2.0-85163778647