2015
DOI: 10.1080/00049182.2015.1020596
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Income Inequality across Australian Regions during the Mining Boom: 2001–11

Abstract: As 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… Show more

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Cited by 51 publications
(29 citation statements)
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“…However, our theoretical discussion and empirical evidence shown here implies that regional planners should be cautious of taking employment effects for granted. In addition, the employment and income growth outcomes are relevant for regional planning because beyond economic growth and prosperity, they are the source of several indirect local socio-economic consequences attached to mining booms/busts, as shown in the Australian case, such as migration and longdistance commuting (Measham et al 2013), housing issues (Haslam McKenzie and Rowley 2013;Neelawala et al 2013), income inequality changes (Kotey and Rolfe 2014;Fleming and Measham 2015b), crime, alcohol abuse and other related boomtown effects (Lawrie et al 2011).…”
Section: Discussionmentioning
confidence: 99%
“…However, our theoretical discussion and empirical evidence shown here implies that regional planners should be cautious of taking employment effects for granted. In addition, the employment and income growth outcomes are relevant for regional planning because beyond economic growth and prosperity, they are the source of several indirect local socio-economic consequences attached to mining booms/busts, as shown in the Australian case, such as migration and longdistance commuting (Measham et al 2013), housing issues (Haslam McKenzie and Rowley 2013;Neelawala et al 2013), income inequality changes (Kotey and Rolfe 2014;Fleming and Measham 2015b), crime, alcohol abuse and other related boomtown effects (Lawrie et al 2011).…”
Section: Discussionmentioning
confidence: 99%
“…To the best of our knowledge, at least one other study, in this case reporting results from the USA, has reported an association between mixed land use, better access to fitness facilities and a lower risk of coronary heart disease in low-income women 24. The local government area of ACT is high SES and relatively egalitarian, being at the middle of the income inequality league relative to other local governments in Australia 56. Car ownership in the ACT (603/1000 people) is well above the Australian average (568/1000) with only two states, Victoria and South Australia, having higher ownership rates.…”
Section: Discussionmentioning
confidence: 65%
“…personal income data from the census, coding income brackets according to their midpoints and treating the top-coded bracket following Fleming and Measham's (2015) assumption that income is Pareto distributed.…”
Section: A C C E P T E D Accepted Manuscriptmentioning
confidence: 99%