Performance assessment of mining operations using nonparametric production analysis: A bootstrapping approach in DEA

Tsolas, IE

dc.contributor.author	Tsolas, IE	en
dc.date.accessioned	2014-03-01T01:36:37Z
dc.date.available	2014-03-01T01:36:37Z
dc.date.issued	2011	en
dc.identifier.issn	0301-4207	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21362
dc.subject	Bootstrapping	en
dc.subject	Coal mining	en
dc.subject	Data Envelopment Analysis (DEA)	en
dc.subject	Environmental effects	en
dc.subject	Illinois	en
dc.subject.classification	Environmental Studies	en
dc.subject.other	Bootstrapping	en
dc.subject.other	Coal mining	en
dc.subject.other	Data envelopment	en
dc.subject.other	Environmental effects	en
dc.subject.other	Illinois	en
dc.subject.other	Benchmarking	en
dc.subject.other	Coal mines	en
dc.subject.other	Environmental management	en
dc.subject.other	Estimation	en
dc.subject.other	Mining	en
dc.subject.other	Rating	en
dc.subject.other	Data envelopment analysis	en
dc.subject.other	bootstrapping	en
dc.subject.other	coal mine	en
dc.subject.other	coal mining	en
dc.subject.other	data envelopment analysis	en
dc.subject.other	environmental impact	en
dc.subject.other	error analysis	en
dc.subject.other	performance assessment	en
dc.subject.other	Illinois	en
dc.subject.other	United States	en
dc.title	Performance assessment of mining operations using nonparametric production analysis: A bootstrapping approach in DEA	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.resourpol.2010.10.003	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.resourpol.2010.10.003	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	This paper presents a Data Envelopment Analysis (DEA) model combined with bootstrapping to assess performance in mining operations. Since DEA-type indicators based on nonparametric production analysis are simply point estimates without any standard error, we provide a methodology to assess the performance of strip mining operations by means of a DEA bootstrapping approach. This methodology is applied to a sample of fifteen Illinois strip coal mines using publicly available data (Thompson et al., 1995). The applied approach uses a mixed mine environmental performance indicator (MMEPI) that is derived by means of a VRS DEA environmental technology treating overburden as an undesirable output under the weak disposability assumption, and we compare this measure with a traditional output-oriented mine performance indicator (MPI) omitting overburden. Although omitting undesirable output results in biased performance estimates, these findings are based on sample specific results and indicate this bias is not statistically significant. The confidence intervals derived by the bootstrapping of the proposed MMEPI point estimates indicate that significant inefficiency has taken place in the analyzed sample of Illinois strip mines. (C) 2010 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Resources Policy	en
dc.identifier.doi	10.1016/j.resourpol.2010.10.003	en
dc.identifier.isi	ISI:000292368700008	en
dc.identifier.volume	36	en
dc.identifier.issue	2	en
dc.identifier.spage	159	en
dc.identifier.epage	167	en