Modeling obsolete computer stock under regional data constraints: An Atlanta case study
Nancey Green Leigh,
Matthew J. Realff,
Ning Ai,
Steven P. French,
Catherine L. Ross and
Bert Bras
Resources, Conservation & Recycling, 2007, vol. 51, issue 4, 847-869
Abstract:
In this paper, we report on our efforts to develop a research framework that can be used to quantify waste flows for different geographical areas in the face of limited waste data availability. We demonstrate this framework in our case study of obsolete computers in the Atlanta metropolitan area. We develop computer obsolescence rates at the national metropolitan level, and couple this data with economic information at the census tract level to generate product inventory estimates (PIE) of the stock of obsolete computers from both business and household sectors in the Atlanta metropolitan area. We seek to improve the accuracy of waste flow estimates for specific geographic areas over those of previous studies, provide an easily replicable and cost effective methodology, highlight the ensuing spatial implications for collection and recycling systems using GIS, and demonstrate the potential economic benefits from diverting electronic wastes within a region. The modeling framework we have developed is intended to be applicable to other regions and to other medium range durable goods discarded by households, businesses, or obtained from buildings.
Keywords: Computer recycling; Product inventory estimates; Material flow analysis; Modeling; Sustainable regional development; Atlanta (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0921344907000067
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:recore:v:51:y:2007:i:4:p:847-869
DOI: 10.1016/j.resconrec.2007.01.007
Access Statistics for this article
Resources, Conservation & Recycling is currently edited by Ming Xu
More articles in Resources, Conservation & Recycling from Elsevier
Bibliographic data for series maintained by Kai Meng ().