Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Accounting for consumption inequality in Myanmar: 2004/05 and 2009/10

dc.contributor.authorAung, Lwin Lwin
dc.date.accessioned2016-11-07T00:45:19Z
dc.date.issued2016
dc.description.abstractThis thesis investigates consumption inequality in Myanmar, utilising comprehensive household expenditure data sets from 2004/05 and 2009/10 called the Integrated Household Living Conditions Assessment surveys. The distributions of revised comprehensive total household expenditures per adult equivalent indicate a decline in different measures of consumption inequality over time. These data suggest that both ‘relative inequality’ and ‘absolute inequality’ have fallen over this five year period. Poorer population groups have gained rapid expenditure growth than richer ones over the whole national consumption distribution. The nationwide Gini coefficient for expenditure per adult equivalent decreased from 0.256 to 0.220 over time. Nationally, the declines in the Gini coefficient, Theil index, Mean Log Deviation, and Atkinson indices were each statistically significant. Disparities in socio-economic conditions between rural and urban areas, as well as states and regions have persistently been claimed, especially by people in rural areas and minority states who believe that they do not receive equal redistributions of their country’s resources. Yangon and Taninthayi had the highest inequality in expenditures and Kayin state was the lowest in the ranking of inequality over time. The static inequality decomposition analyses show that the contribution of within-group inequality of rural and urban areas to total inequality in both levels and changes is higher than that of between-group inequality. Over the study years, both the between-group and within-group inequalities of rural and urban areas have decreased significantly. However, the contribution of between-group inequality of rural and urban areas to total inequality in Myanmar decreased over time, while that of within-group inequality to total inequality correspondingly increased. A similar trend is found for the level of, and changes in, the contributions of states and regions to total inequality. Therefore, the results confirm that a substantial part of expenditure inequality in Myanmar is not spatial. Cyclone Nargis also contributed to the decline in inequality that occurred in the Nargis-affected area, as well as to the observed decline in total national inequality. The Fields (2003) regression-based inequality decomposition reveals that locational and regional effects, occupation, and levels of education of household members are key to explaining both the level of, and changes in, consumption inequality. Firstly, regional specific variables are the main contributors to the narrowing of expenditure inequality and these explain about 35% and 43% for all households and panel households, respectively. However, these factors have complex origins. Ideally, other variables that are beyond the available data can be correlated with the region-specific variables considered in this study, and thus, while their impact cannot be captured directly, it is reflected in the regional variables. The second largest contributor is the share of household members with different types of occupation, accounting for 22% (all households) and 16% (panel households). The third major influencing factor is the level of education of working-age adults (aged 15-64) constituting about 14% and 18% for all households and panel households, respectively. This research also finds that the results produced using the Yun (2006) approach are inconsistent, and provide a seemingly arbitrary choice for researchers.en_AU
dc.identifier.otherb40393410
dc.identifier.urihttp://hdl.handle.net/1885/110020
dc.language.isoenen_AU
dc.provenance6.2.2020 - Made open access after no response to emails re: extending restriction.
dc.subjectConsumption expenditure distributionen_AU
dc.subjectstatisticsen_AU
dc.subjectstandard errorsen_AU
dc.subjectGini coefficienten_AU
dc.subjectGeneralized Entropy indicesen_AU
dc.subjectbetween-group inequalityen_AU
dc.subjectwithin-group inequalityen_AU
dc.subjectregression-based inequality decompositionen_AU
dc.subjectMyanmaren_AU
dc.titleAccounting for consumption inequality in Myanmar: 2004/05 and 2009/10en_AU
dc.typeThesis (PhD)en_AU
dcterms.valid2016en_AU
local.contributor.affiliationThe Arndt-Corden Department of Economics, Crawford School of Public Policy, ANU College of Asia and the Pacific, The Australian National Universityen_AU
local.contributor.supervisorWarr, Peter
local.description.notesauthor deposited 7/11/16en_AU
local.identifier.doi10.25911/5d76383a83b83
local.mintdoimint
local.type.degreeDoctor of Philosophy (PhD)en_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Aung Thesis 2016.pdf
Size:
8.98 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
884 B
Format:
Item-specific license agreed upon to submission
Description: