Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017097712> ?p ?o ?g. }
- W2017097712 endingPage "60" @default.
- W2017097712 startingPage "50" @default.
- W2017097712 abstract "This article evaluates the efficiency of Brazil's industrial sectors from 1996 to 2009, taking into account energy consumption and respective contributions to the country's economic and social aspects. This analysis used a mathematical programming method called Data Envelopment Analysis (DEA), which enabled, from the SBM model and the window analysis, to evaluate the ability of industries to reduce energy consumption and fossil-fuel CO2 emissions (inputs), as well as to increase the Gross Domestic Product (GDP) by sectors, the persons employed and personnel expenses (outputs). The results of this study indicated that the Textile sector is the most efficient industrial sector in Brazil, according to the variables used, followed by these sectors: Foods and Beverages, Chemical, Mining, Paper and Pulp, Nonmetallic and Metallurgical." @default.
- W2017097712 created "2016-06-24" @default.
- W2017097712 creator A5000764240 @default.
- W2017097712 creator A5043351694 @default.
- W2017097712 creator A5060899484 @default.
- W2017097712 date "2014-03-01" @default.
- W2017097712 modified "2023-10-16" @default.
- W2017097712 title "Efficiency in Brazil's industrial sectors in terms of energy and sustainable development" @default.
- W2017097712 cites W1969108781 @default.
- W2017097712 cites W1976179793 @default.
- W2017097712 cites W1980511352 @default.
- W2017097712 cites W1982087261 @default.
- W2017097712 cites W1992903575 @default.
- W2017097712 cites W2001116657 @default.
- W2017097712 cites W2009044071 @default.
- W2017097712 cites W2022656046 @default.
- W2017097712 cites W2025270570 @default.
- W2017097712 cites W2025406618 @default.
- W2017097712 cites W2031670464 @default.
- W2017097712 cites W2034753263 @default.
- W2017097712 cites W2037038536 @default.
- W2017097712 cites W2037361023 @default.
- W2017097712 cites W2057051714 @default.
- W2017097712 cites W2057837152 @default.
- W2017097712 cites W2076452041 @default.
- W2017097712 cites W2082468199 @default.
- W2017097712 cites W2084072037 @default.
- W2017097712 cites W2086961938 @default.
- W2017097712 cites W2088756387 @default.
- W2017097712 cites W2090427955 @default.
- W2017097712 cites W2129763896 @default.
- W2017097712 cites W2162180338 @default.
- W2017097712 cites W2163039070 @default.
- W2017097712 cites W2165603404 @default.
- W2017097712 cites W2506753585 @default.
- W2017097712 cites W3020933326 @default.
- W2017097712 cites W3123899273 @default.
- W2017097712 cites W4213085001 @default.
- W2017097712 cites W194731641 @default.
- W2017097712 doi "https://doi.org/10.1016/j.envsci.2013.08.007" @default.
- W2017097712 hasPublicationYear "2014" @default.
- W2017097712 type Work @default.
- W2017097712 sameAs 2017097712 @default.
- W2017097712 citedByCount "59" @default.
- W2017097712 countsByYear W20170977122014 @default.
- W2017097712 countsByYear W20170977122015 @default.
- W2017097712 countsByYear W20170977122016 @default.
- W2017097712 countsByYear W20170977122017 @default.
- W2017097712 countsByYear W20170977122018 @default.
- W2017097712 countsByYear W20170977122019 @default.
- W2017097712 countsByYear W20170977122020 @default.
- W2017097712 countsByYear W20170977122021 @default.
- W2017097712 countsByYear W20170977122022 @default.
- W2017097712 countsByYear W20170977122023 @default.
- W2017097712 crossrefType "journal-article" @default.
- W2017097712 hasAuthorship W2017097712A5000764240 @default.
- W2017097712 hasAuthorship W2017097712A5043351694 @default.
- W2017097712 hasAuthorship W2017097712A5060899484 @default.
- W2017097712 hasConcept C114350782 @default.
- W2017097712 hasConcept C119599485 @default.
- W2017097712 hasConcept C126255220 @default.
- W2017097712 hasConcept C127413603 @default.
- W2017097712 hasConcept C134560507 @default.
- W2017097712 hasConcept C136264566 @default.
- W2017097712 hasConcept C144024400 @default.
- W2017097712 hasConcept C144133560 @default.
- W2017097712 hasConcept C162324750 @default.
- W2017097712 hasConcept C169685871 @default.
- W2017097712 hasConcept C175605778 @default.
- W2017097712 hasConcept C17744445 @default.
- W2017097712 hasConcept C199539241 @default.
- W2017097712 hasConcept C22088475 @default.
- W2017097712 hasConcept C2524010 @default.
- W2017097712 hasConcept C2742236 @default.
- W2017097712 hasConcept C2780165032 @default.
- W2017097712 hasConcept C2985347565 @default.
- W2017097712 hasConcept C30772137 @default.
- W2017097712 hasConcept C33923547 @default.
- W2017097712 hasConcept C36289849 @default.
- W2017097712 hasConcept C48824518 @default.
- W2017097712 hasConcept C50522688 @default.
- W2017097712 hasConcept C518851703 @default.
- W2017097712 hasConcept C548081761 @default.
- W2017097712 hasConcept C552854447 @default.
- W2017097712 hasConcept C90673727 @default.
- W2017097712 hasConceptScore W2017097712C114350782 @default.
- W2017097712 hasConceptScore W2017097712C119599485 @default.
- W2017097712 hasConceptScore W2017097712C126255220 @default.
- W2017097712 hasConceptScore W2017097712C127413603 @default.
- W2017097712 hasConceptScore W2017097712C134560507 @default.
- W2017097712 hasConceptScore W2017097712C136264566 @default.
- W2017097712 hasConceptScore W2017097712C144024400 @default.
- W2017097712 hasConceptScore W2017097712C144133560 @default.
- W2017097712 hasConceptScore W2017097712C162324750 @default.
- W2017097712 hasConceptScore W2017097712C169685871 @default.
- W2017097712 hasConceptScore W2017097712C175605778 @default.
- W2017097712 hasConceptScore W2017097712C17744445 @default.
- W2017097712 hasConceptScore W2017097712C199539241 @default.