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Ethnic diversity, energy poverty and the mediating role of trust: Evidence from household panel data for Australia11We thank two referees for constructive comments. This article uses unit record data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Social Services (DSS) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this article, however, are those of the authors and should not be attributed to either DSS or the Melbourne Institute

Sefa Awaworyi Churchill and Russell Smyth ()

Energy Economics, 2020, vol. 86, issue C

Abstract: Energy poverty is now a major concern on the public policy agenda in many countries. However, evidence on the determinants of energy poverty is relatively scant. Our study contributes to the debate on the determinants of energy poverty by being the first to examine the impact of ethnic diversity on household energy poverty. Using 12 waves of longitudinal data from the Household, Income and Labour Dynamics in Australia (HILDA) survey, we find that, in Australia, ethnic diversity is positively associated with energy poverty. Our preferred instrumented estimates suggest that a standard deviation increase in ethnic diversity is associated with a 0.103–0.422 standard deviation increase in energy poverty, depending on how energy poverty is measured. This finding is generally robust to alternative ways of measuring ethnic diversity and energy poverty. We identify trust as an important channel through which ethnic diversity operates and point to the need for policies that engender social capital in multicultural societies as a means to harness the benefits of diversity.

Keywords: Energy poverty; Fuel poverty; Ethnic diversity; Fractionalization; Polarization (search for similar items in EconPapers)
JEL-codes: J15 Q41 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988320300025

DOI: 10.1016/j.eneco.2020.104663

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