Suchergebnisse

With policy measures imposed by governments around the world to contain and prevent the spread of COVID 19, global and domestic economic activities and trade flows have been interrupted. The unexpected shocks of COVID 19 negatively affect not only Myanmar's economy, but also the livelihoods of Myanmar households. This Working Paper assesses such impacts at the household level using a microsimulation model based on the Myanmar Poverty and Living Conditions Survey (MPLCS) conducted in 2015. ; Non-PR ; IFPRI1; CRP2; MAPSA; MyanmarSSP; 4 Transforming Agricultural and Rural Economies ; DSGD; PIM ; CGIAR Research Program on Policies, Institutions, and Markets (PIM)

This paper sets out to investigate the wellbeing of women in the Democratic Republic of the Congo (DRC). It undertakes spatial and temporal comparisons of women's wellbeing using data from the Demographic and Health Survey and the Multiple Indicator Cluster Survey. Using the multidimensional first-order dominance approach, the results reveal mixed evidence of improvement and deterioration of women's welfare across the DRC over a three-year period (2007 - 10).

After years of economic decline, conflict, and instability, the Democratic Republic of Congo achieved rapid economic growth in the 2000s along with a reduction in rural consumption poverty. This paper evaluates the extent to which recent growth has been accompanied by improvements in multidimensional child welfare using a first-order dominance approach applied to Multiple Indicator Cluster Surveys and Demographic and Health Surveys. The authors explore the root of indeterminate outcomes in spatial analysis and evaluate the sensitivity of spatial and temporal outcomes to indicator choice. Though results do not indicate broad-based welfare advancement at the national, urban, or rural levels, they do suggest progress within a number of individual provinces.

In this paper we make welfare comparisons among districts of Zambia using multidimensional well-being indicators observed at the household level using the first order dominance approach developed by Arndt et al. in 2012. This approach allows welfare comparisons without making any assumptions about the relative importance of the indicators. Analysis of the 2010 Census of Population and Housing data has generated information on the poverty status of provinces and districts in Zambia and has ranked them from the relatively well-off to the worseoff. This information has been presented on a map showing the districts according to their poverty status. It is expected that this paper will contribute to fine-tuning geographic poverty targeting efforts in Zambia. The rationale is that with the availability of such analysis, it will be possible to make budgetary provisions that allow for the equitable distribution of public resources. The overriding objective of the government should be to channel public resources based on the spatial distribution of poverty.