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Winners, Losers and Optimal Re-location of a Mining Town: An Approach Using Alonso Bid-Rent Functions
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management, Building and Real Estate Economics.
2015 (English)In: European Planning Studies, ISSN 0965-4313, E-ISSN 1469-5944, Vol. 23, no 12, 2483-2496 p.Article in journal (Refereed) Published
Abstract [en]

Kiruna, a mining town in the northern part of Sweden, is currently facing a serious planning problem. Rich quantities of iron ore underneath the town centre have led to a decision to re-locate the city and its residents. However, this does not affect all residents as some live just outside the risk zone. Thus, a re-distribution of wealth will occur when the distance to the town centre changes. This paper addresses two issues; first, is the re-location efficient in terms of this wealth re-distribution, that is, are the gains in property values larger than the losses from moving the city to the new location? and second, does the new location of Kiruna yield an efficient outcome, or could planners have chosen another location that would result in larger gains and smaller losses? Using a measure derived from Alonso bid-rent functions which is estimated with the spatial Durbin model, both these questions are assessed and the results indicate that moving the city centre does lead to gains that outweigh the losses, however, the proposed location of Kiruna does not yield an optimal result from this perspective.

Place, publisher, year, edition, pages
Routledge, 2015. Vol. 23, no 12, 2483-2496 p.
National Category
Economics
Identifiers
URN: urn:nbn:se:kth:diva-163398DOI: 10.1080/09654313.2015.1006123ISI: 000365518500010Scopus ID: 2-s2.0-84948065120OAI: oai:DiVA.org:kth-163398DiVA: diva2:799951
Note

QC 20160115

Available from: 2015-04-01 Created: 2015-04-01 Last updated: 2017-12-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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More styles
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  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
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