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Does Host Language Proficiency Among Immigrants Reduce Energy Poverty? Evidence from Australia

Author

Listed:
  • Budría, Santiago

    (Universidad Nebrija)

  • Martínez de Ibarreta, Carlos

    (Universidad Pontificia Comillas)

  • Betancourt-Odio, Alejandro

    (Universidad Pontificia Comillas)

Abstract

Reducing energy poverty is a critical priority for policymakers in both developed and developing nations. Immigrants are often considered a high-risk group due to their heightened vulnerability. While host language proficiency has the potential to mitigate energy poverty among immigrants by enhancing economic integration and facilitating access to essential information and services, its role remains largely unexplored. Using Australian data and addressing endogeneity concerns through a two-stage least-squares (2SLS) approach, this paper presents the first empirical analysis of host language proficiency as a determinant of energy poverty among immigrants. The results show that proficiency in the host language reduces the likelihood of experiencing multidimensional energy poverty by approximately 18.8 percentage points. This effect is partly driven by higher incomes and better access to social assistance among proficient immigrants. The findings underscore the importance of language skills in shaping energy poverty and highlight the need for language education to reduce economic disparities among immigrant populations.

Suggested Citation

  • Budría, Santiago & Martínez de Ibarreta, Carlos & Betancourt-Odio, Alejandro, 2025. "Does Host Language Proficiency Among Immigrants Reduce Energy Poverty? Evidence from Australia," IZA Discussion Papers 18312, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp18312
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    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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