Suchergebnisse

For years, the international development community has been considering poverty as a multidimensional phenomenon, which takes into account not only income or consumption of the poor, but also their access to basic needs (education, health, etc.) and resources (credit, social network, etc.). In Viet Nam, since 2016, the Government has adopted the multidimensional approach to thoroughly measure poverty. This paper is an attempt to assess the state and evolution of multidimensional poverty in the rural areas of Viet Nam, using data from the Viet Nam Access to Resources Household Survey 2008-16. Results show remarkable improvement of the living conditions in the rural areas, with a greater pace shown among the ethnic minority groups. However, there need to be more efforts to reduce the gap in poverty headcount ratios among Kinh and non-Kinh groups, households with male and female heads, and among households in different provinces. Some of the main suggestions to reduce multidimensional poverty in Viet Nam is to increase households' access to health care services, education, clean water and hygienic latrines, and to improve the presence of such service providers near the households' locations.

"An introduction to labor market indicator analysis and a guide for analyzing household survey data using the ADePT ILO (International Labor Organization) Labor Market Indicators Module. The analytical framework and approach taken up in this book are based on the ILO's Key Indicators of the Labor Market (KILM). KILM indicators provide a strong basis on which to address key questions related to productive employment and decent work."--Page [4] of cover

This is one of the first studies to use crosscountry comparisons to examine competing views of informal sector employment. Most patterns of employment and earning structures are very similar across the examined five countries, suggesting similar factors influencing the formation of the formal and informal sectors. In particular, the return to education in the informal sector is at least three-fifths that in the formal sector and the male-female differential is much greater in the formal sector. (DSE/DÜI)