{"title":"考虑理想产出最大化及其应用的环境效率评价","authors":"Malin Song , Shuhong Wang , Qingling Liu","doi":"10.1016/j.mcm.2011.12.043","DOIUrl":null,"url":null,"abstract":"<div><p>Production processes often produce by-products which have harmful effects on the environment. However, traditional Data Envelopment Analysis (DEA) models cannot measure the efficiency evaluation of these undesirable outputs. This article aims to solve this problem. It gives an improved DEA-SBM model, named ISBM-DEA, and constructs an illustration to compare it with the Slacks-based measured DEA model. The results show that the new model’s computing conclusions are highly related to the efficiency assessment of the DEA-SBM model, and it has a greater focus on the affects of undesirable outputs on production efficiency than the latter, which means that this new model has a greater extensive value for application and provides a better quantitative theoretical basis for environmental policy analysis.</p></div>","PeriodicalId":49872,"journal":{"name":"Mathematical and Computer Modelling","volume":"58 5","pages":"Pages 1110-1116"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.mcm.2011.12.043","citationCount":"35","resultStr":"{\"title\":\"Environmental efficiency evaluation considering the maximization of desirable outputs and its application\",\"authors\":\"Malin Song , Shuhong Wang , Qingling Liu\",\"doi\":\"10.1016/j.mcm.2011.12.043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Production processes often produce by-products which have harmful effects on the environment. However, traditional Data Envelopment Analysis (DEA) models cannot measure the efficiency evaluation of these undesirable outputs. This article aims to solve this problem. It gives an improved DEA-SBM model, named ISBM-DEA, and constructs an illustration to compare it with the Slacks-based measured DEA model. The results show that the new model’s computing conclusions are highly related to the efficiency assessment of the DEA-SBM model, and it has a greater focus on the affects of undesirable outputs on production efficiency than the latter, which means that this new model has a greater extensive value for application and provides a better quantitative theoretical basis for environmental policy analysis.</p></div>\",\"PeriodicalId\":49872,\"journal\":{\"name\":\"Mathematical and Computer Modelling\",\"volume\":\"58 5\",\"pages\":\"Pages 1110-1116\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.mcm.2011.12.043\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical and Computer Modelling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0895717711008181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical and Computer Modelling","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0895717711008181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Environmental efficiency evaluation considering the maximization of desirable outputs and its application
Production processes often produce by-products which have harmful effects on the environment. However, traditional Data Envelopment Analysis (DEA) models cannot measure the efficiency evaluation of these undesirable outputs. This article aims to solve this problem. It gives an improved DEA-SBM model, named ISBM-DEA, and constructs an illustration to compare it with the Slacks-based measured DEA model. The results show that the new model’s computing conclusions are highly related to the efficiency assessment of the DEA-SBM model, and it has a greater focus on the affects of undesirable outputs on production efficiency than the latter, which means that this new model has a greater extensive value for application and provides a better quantitative theoretical basis for environmental policy analysis.