{"id":{"repo_id":"city-london","oai_identifier":"oai:openaccess.city.ac.uk:1114"},"canonical_url":"https://search.dev.ndltd.org/etd/city-london/oai:openaccess.city.ac.uk:1114","repository":{"repo_id":"city-london","name":"City University of London","base_url":"https://openaccess.city.ac.uk/cgi/oai2"},"display":{"title":"Measuring Efficiency for Egyptian Textile and Apparel Industry Using Stochastic Frontier Analysis and Data Envelopment Analysis","abstract":"This thesis gives an overall view of measuring efficiencies in the Egyptian textile and apparel industry via stochastic frontier analysis (SFA) and data envelopment analysis (DEA). Differences between the SFA and the DEA can lead to different estimates for some, or all of the units in an analysis. Measuring efficiency through production process, (inputs and outputs), lacking factors affecting supply chain operations and other key factors, such as value-adding capabilities, exchange rates, time, inventory turnover, quality, logistics, etc. can lead to inaccurate measures. Thus, to ensure accurate efficiency measures, these factors have to be considered. Techniques used are; SFA time-varying and metafrontier. Constructing a single production frontier based on all data points would cause an unfitting benchmark due to differences in production technologies, location, ownership type, etc. Hence, metafrontier allows grouping firms with similar characteristics into a separate group frontier for each region with single metafrontier applied to all groups. Empirical results show clear variability in efficiencies between private and public firms and shows that efficiency scores vary, when assessed against the metafrontier. The evidence also shows the major role of the supply chain factors in improving efficiencies for public firms.","abstract_html":"This thesis gives an overall view of measuring efficiencies in the Egyptian textile and apparel industry via stochastic frontier analysis (SFA) and data envelopment analysis (DEA). Differences between the SFA and the DEA can lead to different estimates for some, or all of the units in an analysis. Measuring efficiency through production process, (inputs and outputs), lacking factors affecting supply chain operations and other key factors, such as value-adding capabilities, exchange rates, time, inventory turnover, quality, logistics, etc. can lead to inaccurate measures. Thus, to ensure accurate efficiency measures, these factors have to be considered. Techniques used are; SFA time-varying and metafrontier. Constructing a single production frontier based on all data points would cause an unfitting benchmark due to differences in production technologies, location, ownership type, etc. Hence, metafrontier allows grouping firms with similar characteristics into a separate group frontier for each region with single metafrontier applied to all groups. Empirical results show clear variability in efficiencies between private and public firms and shows that efficiency scores vary, when assessed against the metafrontier. The evidence also shows the major role of the supply chain factors in improving efficiencies for public firms.","abstract_has_math":false,"creators":["Elatroush, Ibrahim Mosaad"],"institution":"City University London","degree_name":"phd","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-12","date_published":"2011-12","updated_at":"2026-07-24T01:38:52Z","subjects":["HB Economic Theory","HD Industries. Land use. Labor"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Elatroush, Ibrahim Mosaad"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-12"]},{"key":"dc:date.issued","label":"Date","values":["2011-12"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Doctoral Theses","Department of Economics","School of Policy & Global Affairs Doctoral Theses"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["City University London"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://openaccess.city.ac.uk/id/eprint/1114/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["phd"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["HB Economic Theory","HD Industries. Land use. Labor"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://openaccess.city.ac.uk/id/eprint/1114/1/ELATROUSH%2CIBRAHIM.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis gives an overall view of measuring efficiencies in the Egyptian textile and apparel industry via stochastic frontier analysis (SFA) and data envelopment analysis (DEA). Differences between the SFA and the DEA can lead to different estimates for some, or all of the units in an analysis. Measuring efficiency through production process, (inputs and outputs), lacking factors affecting supply chain operations and other key factors, such as value-adding capabilities, exchange rates, time, inventory turnover, quality, logistics, etc. can lead to inaccurate measures. Thus, to ensure accurate efficiency measures, these factors have to be considered. Techniques used are; SFA time-varying and metafrontier. Constructing a single production frontier based on all data points would cause an unfitting benchmark due to differences in production technologies, location, ownership type, etc. Hence, metafrontier allows grouping firms with similar characteristics into a separate group frontier for each region with single metafrontier applied to all groups. Empirical results show clear variability in efficiencies between private and public firms and shows that efficiency scores vary, when assessed against the metafrontier. The evidence also shows the major role of the supply chain factors in improving efficiencies for public firms."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Measuring Efficiency for Egyptian Textile and Apparel Industry Using Stochastic Frontier Analysis and Data Envelopment Analysis"]}]}],"canonical_facts":{"dc:creator":["Elatroush, Ibrahim Mosaad"],"dc:date":["2011-12"],"dc:date.issued":["2011-12"],"dc:description.abstract":["This thesis gives an overall view of measuring efficiencies in the Egyptian textile and apparel industry via stochastic frontier analysis (SFA) and data envelopment analysis (DEA). Differences between the SFA and the DEA can lead to different estimates for some, or all of the units in an analysis. Measuring efficiency through production process, (inputs and outputs), lacking factors affecting supply chain operations and other key factors, such as value-adding capabilities, exchange rates, time, inventory turnover, quality, logistics, etc. can lead to inaccurate measures. Thus, to ensure accurate efficiency measures, these factors have to be considered. Techniques used are; SFA time-varying and metafrontier. Constructing a single production frontier based on all data points would cause an unfitting benchmark due to differences in production technologies, location, ownership type, etc. Hence, metafrontier allows grouping firms with similar characteristics into a separate group frontier for each region with single metafrontier applied to all groups. Empirical results show clear variability in efficiencies between private and public firms and shows that efficiency scores vary, when assessed against the metafrontier. The evidence also shows the major role of the supply chain factors in improving efficiencies for public firms."],"dc:format":["application/pdf"],"dc:identifier.uri":["https://openaccess.city.ac.uk/id/eprint/1114/1/ELATROUSH%2CIBRAHIM.pdf"],"dc:publisher.department":["Doctoral Theses","Department of Economics","School of Policy & Global Affairs Doctoral Theses"],"dc:publisher.institution":["City University London"],"dc:relation.isreferencedby":["https://openaccess.city.ac.uk/id/eprint/1114/"],"dc:subject":["HB Economic Theory","HD Industries. Land use. Labor"],"dc:title":["Measuring Efficiency for Egyptian Textile and Apparel Industry Using Stochastic Frontier Analysis and Data Envelopment Analysis"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["doctoral"],"dc:type.qualificationname":["phd"]},"updated_at":"2026-07-24T01:38:52Z"}