{"title":"转向电动汽车谁得谁失:多标准多利益相关者分析的影响评估","authors":"Anton Talantsev","doi":"10.1016/j.proenv.2017.03.057","DOIUrl":null,"url":null,"abstract":"<div><p>Studying the case of the subsidy for electric vehicles in Great Britain (“plug-in car grant”), this research suggests an integrated impact assessment approach by coupling policy issue system modeling with stakeholder preference elicitation.</p><p>In particular, we utilize fuzzy cognitive mapping to model the policy issue as a dynamic and complex system. We further simulate the subsidy policy in the model to estimate the changes in select policy aspects. The simulation outcomes are assessed through perspectives of stakeholder groups. For the latter task, nine stakeholder groups were identified and profiled by conducting content analysis and applying the novel CAR method.</p></div>","PeriodicalId":20460,"journal":{"name":"Procedia environmental sciences","volume":"37 ","pages":"Pages 257-268"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.proenv.2017.03.057","citationCount":"10","resultStr":"{\"title\":\"Who Gains and Who Loses in the Shift to Electric Vehicles: Impact Assessment through Multi-criteria Multi-stakeholder Analysis\",\"authors\":\"Anton Talantsev\",\"doi\":\"10.1016/j.proenv.2017.03.057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Studying the case of the subsidy for electric vehicles in Great Britain (“plug-in car grant”), this research suggests an integrated impact assessment approach by coupling policy issue system modeling with stakeholder preference elicitation.</p><p>In particular, we utilize fuzzy cognitive mapping to model the policy issue as a dynamic and complex system. We further simulate the subsidy policy in the model to estimate the changes in select policy aspects. The simulation outcomes are assessed through perspectives of stakeholder groups. For the latter task, nine stakeholder groups were identified and profiled by conducting content analysis and applying the novel CAR method.</p></div>\",\"PeriodicalId\":20460,\"journal\":{\"name\":\"Procedia environmental sciences\",\"volume\":\"37 \",\"pages\":\"Pages 257-268\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.proenv.2017.03.057\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Procedia environmental sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1878029617300579\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia environmental sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1878029617300579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Who Gains and Who Loses in the Shift to Electric Vehicles: Impact Assessment through Multi-criteria Multi-stakeholder Analysis
Studying the case of the subsidy for electric vehicles in Great Britain (“plug-in car grant”), this research suggests an integrated impact assessment approach by coupling policy issue system modeling with stakeholder preference elicitation.
In particular, we utilize fuzzy cognitive mapping to model the policy issue as a dynamic and complex system. We further simulate the subsidy policy in the model to estimate the changes in select policy aspects. The simulation outcomes are assessed through perspectives of stakeholder groups. For the latter task, nine stakeholder groups were identified and profiled by conducting content analysis and applying the novel CAR method.