Document Detail


Cost function analysis for solid waste management: a developing country experience.
MedLine Citation:
PMID:  22081379     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The need for improved cost planning methods for solid waste management (SWM) is particularly strong in emerging economies where problems are severe, expectations for improvements are high, but finances are constrained. Estimating cost functions is suggested as an improved cost planning method. The research uses 1999 data from 298 Indian municipalities, covering over 140 million people. Stepwise multiple regression involving eight predictor variables was conducted on costs to detect any statistically significant correlations. The average costs on either a per tonne or per capita basis are most influenced by the total number of staff employed per capita or per tonne. The results are believed to be due to labour costs being such a high fraction of total costs in developing countries. Due to high variability in labour intensity between municipalities the data showed no clear correlation between per tonne or per capita costs and population, indicating no economy-of-scale. The data used here are subject to significant conjecture over their quality and age; however, the unique nature of the study should help future researchers investigating costs in emerging economies.
Authors:
Shantha R Parthan; Mark W Milke; David C Wilson; John H Cocks
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-11-10
Journal Detail:
Title:  Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA     Volume:  -     ISSN:  1399-3070     ISO Abbreviation:  -     Publication Date:  2011 Nov 
Date Detail:
Created Date:  2011-11-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9881064     Medline TA:  Waste Manag Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand.
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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