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Permanent link (DOI): https://doi.org/10.7939/R31N7XT66

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Aggregate Resource Extraction: Examining Environmental Impacts on Optimal Extraction and Reclamation Strategies Open Access

Descriptions

Other title
Subject/Keyword
Hedonic Analysis
Reclamation
Gravel
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Campbell, Brett A
Supervisor and department
Adamowicz, Vic (Resource Economics and Environmental Sociology)
Examining committee member and department
Jeffrey, Scott (Resource Economics and Environmental Sociology)
Meyerhoff, Jurgen (Environmental and Land Economics, Berlin Technical University)
Mohapatra, Sandeep (Resource Economics and Environmental Sociology)
Adamowicz, Vic (Resource Economics and Environmental Sociology)
Department
Department of Resource Economics and Environmental Sociology
Specialization
Agricultural and Resource Economics
Date accepted
2014-09-29T09:15:36Z
Graduation date
2014-11
Degree
Master of Science
Degree level
Master's
Abstract
Aggregate resources are naturally occurring deposits of sand, gravel and crushed stone that are integral components to the construction of everything from roads and sidewalks, to hospitals and schools. Mining these resources can release deleterious sediments, salt and chemicals into watercourses, soil and the air and can affect scenery. The structure of these environmental externalities raises questions about the optimal extraction of aggregate resources, the timing of reclamation activities, and the appropriate distance gravel mines should be from their market. A social planner optimizing aggregate extraction and incorporation of the effects of the externality may choose a different extraction path and reclamation strategy than a private operator. Hedonic price analysis and difference-in-difference modelling are used in this research to measure the effect of the negative externalities from an aggregate mine in Calgary, Alberta on nearby property values, and to examine how reclamation can address those effects. The empirical hedonic price model findings are used to develop a simulation of gravel mining operations with the incorporation of private and social costs to examine the benefits of locating mines in remote locations versus in close proximity to their intended market, and strategies for reclamation timing.
Language
English
DOI
doi:10.7939/R31N7XT66
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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