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Measuring Localisation Regionally to Form a Bhutanese Index

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  • Michelle M. Olivier

    (School of Environmental Sciences, Charles Sturt University, Albury, New South Wales 2640, Australia)

  • Benjamin P. Wilson

    (School of Environmental Sciences, Charles Sturt University, Albury, New South Wales 2640, Australia)

  • Jonathon L. Howard

    (School of Environmental Sciences, Charles Sturt University, Albury, New South Wales 2640, Australia)

Abstract

Localisation may be used as a strategy to remedy the harmful socio-ecological impacts of economic globalisation, and lead to improved sustainability achievements. This article describes the formation of a regional-level localisation index for the 20 districts of Bhutan, demonstrating a way to identify localised places using regionally specific data. Secondary source data were gathered in Bhutan according to localisation expert-identified metrics, which were then weighted, standardised, scored and ranked. This enabled the formation of a Bhutanese regional-level localisation index. The index may assist those seeking regional-level localisation case studies by enabling the identification of localised places in Bhutan. The article also summarises sustainability-planning interviews carried out across Bhutan to determine causal factors relating to localisation scores, in particular focusing on the top localisation-scoring district, Dagana. The interviews revealed that Bhutan is a highly localised country that has long and intentionally planned many aspects of localisation.

Suggested Citation

  • Michelle M. Olivier & Benjamin P. Wilson & Jonathon L. Howard, 2016. "Measuring Localisation Regionally to Form a Bhutanese Index," Sustainability, MDPI, vol. 8(7), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:690-:d:74262
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    References listed on IDEAS

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    Cited by:

    1. Olivier, Michelle M. & Howard, Johnathon L. & Wilson, Ben P. & Robinson, Wayne A., 2018. "Correlating Localisation and Sustainability and Exploring the Causality of the Relationship," Ecological Economics, Elsevier, vol. 146(C), pages 749-765.
    2. Olivier, Michelle M. & Wilson, Ben P. & Howard, Johnathon L., 2017. "Measuring Localisation Nationally to Form a Global Index," Ecological Economics, Elsevier, vol. 137(C), pages 207-219.

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