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Using discrete choice experiments to assess the preferences of new mining workforce to commute or relocate to the Surat Basin in Australia

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  • Windle, Jill
  • Rolfe, John

Abstract

Two choice modelling experiments have been used to examine how residents of a major urban centre would consider commuting or relocation options if they were to consider taking up employment in a rapidly growing resource region. The case study area focused on the Surat Basin in southern Queensland where recent increases in mining activity involve both coal mining and coal seam gas extraction. The preferences of residents of Brisbane, the state capital and closest major centre to the Surat Basin, were assessed in the experiment. The results identified increased salary as the most important factor, but respondents were also concerned about potentially offsetting influences such as high living costs and accommodation affordability/availability. Respondents indicated that the additional salary needed to take up employment in the Surat Basin was substantially higher for relocation options than for FIFO options.

Suggested Citation

  • Windle, Jill & Rolfe, John, 2013. "Using discrete choice experiments to assess the preferences of new mining workforce to commute or relocate to the Surat Basin in Australia," Resources Policy, Elsevier, vol. 38(2), pages 169-180.
    • Handle: RePEc:eee:jrpoli:v:38:y:2013:i:2:p:169-180
    DOI: 10.1016/j.resourpol.2012.10.006
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    References listed on IDEAS

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    Cited by:

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    3. Kim, Ju-Hee & Yoo, Seung-Hoon, 2020. "Public perspective on the environmental impacts of sea sand mining: Evidence from a choice experiment in South Korea," Resources Policy, Elsevier, vol. 69(C).
    4. Yutaka Ito & Shuto Mikami & Hyongdoo Jang & Abbas Taheri & Kenta Tanaka & Youhei Kawamura, 2020. "University Students’ Preferences for Labour Conditions at a Mining Site: Evidence from Two Australian Universities," Resources, MDPI, vol. 9(3), pages 1-13, March.

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    More about this item

    Keywords

    Mining; Employment; Long distance commuting; Choice experiments;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • O29 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Other

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