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Income Inequality across Australian Regions during the Mining Boom: 2001-11

dc.contributor.authorFleming, David A.
dc.contributor.authorMeasham, Tom
dc.date.accessioned2015-12-10T23:26:16Z
dc.date.issued2015
dc.date.updated2016-06-14T09:00:47Z
dc.description.abstractAs mining expands throughout the world, a growing body of literature is focusing on the relationship between mining and well-being in locations where resource extraction occurs. Although many topics such as employment and migration have been researched, the impacts of mining on income inequality have received less attention from scholars. Income inequality is a highly debated topic and the Gini coefficient (GC) one of the most popular indicators used to measure and discuss it. In this paper we estimate GCs for all sub-State regions of Australia and analyse their changes during the ‘mining boom decade’ (2001–11) across mining and non-mining regions. Our results show that, on average, income inequality increased by around 4.8 per cent in mining regions, compared to 8.7 per cent in the average non-mining region. However, the results also show important variation in changes of GC across mining regions, suggesting that the industry is likely to affect the distribution of local incomes in different ways. The method we propose to estimate GCs for regional areas and the results obtained across mining and non-mining regions provide important insights for future research and for regional policy makers, especially those concerned with the socio-economic impacts of industries such as mining across regions.
dc.identifier.issn0004-9182
dc.identifier.urihttp://hdl.handle.net/1885/67687
dc.publisherCarfax Publishing, Taylor & Francis Group
dc.sourceAustralian Geographer
dc.titleIncome Inequality across Australian Regions during the Mining Boom: 2001-11
dc.typeJournal article
local.bibliographicCitation.issue2
local.bibliographicCitation.lastpage216
local.bibliographicCitation.startpage203
local.contributor.affiliationFleming, David A., CSIRO
local.contributor.affiliationMeasham, Tom, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidMeasham, Tom, u4003099
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor140302 - Econometric and Statistical Methods
local.identifier.absseo850203 - Oil and Gas Extraction
local.identifier.ariespublicationu4279067xPUB1500
local.identifier.citationvolume46
local.identifier.doi10.1080/00049182.2015.1020596
local.identifier.scopusID2-s2.0-84928539227
local.type.statusPublished Version

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