{"title":"可持续政策评估","authors":"Giuseppe Munda","doi":"10.14195/2183-203x_56_1","DOIUrl":null,"url":null,"abstract":"Sustainability policy evaluation and assessment seeks to answer the key question, sustainability of what and whom? Consequently, sustainability issues are multidimensional in nature and feature a high degree of conflict, uncertainty and complexity. Social multi-criteria evaluation (SMCE) has been explicitly designed for public policies; it builds on formal modelling techniques whose main achievement is the fact that the use of different evaluation criteria translates directly into plurality of values and dimensions underpinning a policy process. SMCE aims at being inter/multi-disciplinary (with respect to the technical team), participatory (with respect to the community) and transparent. SMCE can help deal with three different types of sustainability-related policy issues: 1) epistemological uncertainty (human representation of a given policy problem necessarily reflects perceptions, values and interests of those structuring the problem); 2) complexity (the existence of different levels and scales at which a hierarchical system can be analyzed implies the unavoidable existence of non-equivalent descriptions of it both in space and time); and 3) mathematical manipulation rules of relevant information (compensability versus non-compensability, preference modelling of intensities of preference, mixed information on criterion scores, weights as trade-offs versus weights as importance coefficients, choice of a proper ranking algorithm). This paper focuses on the these three issues and provides an overview of the SMCE approaches to them.","PeriodicalId":33953,"journal":{"name":"Notas Economicas","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Avaliação de Políticas Sustentáveis\",\"authors\":\"Giuseppe Munda\",\"doi\":\"10.14195/2183-203x_56_1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sustainability policy evaluation and assessment seeks to answer the key question, sustainability of what and whom? Consequently, sustainability issues are multidimensional in nature and feature a high degree of conflict, uncertainty and complexity. Social multi-criteria evaluation (SMCE) has been explicitly designed for public policies; it builds on formal modelling techniques whose main achievement is the fact that the use of different evaluation criteria translates directly into plurality of values and dimensions underpinning a policy process. SMCE aims at being inter/multi-disciplinary (with respect to the technical team), participatory (with respect to the community) and transparent. SMCE can help deal with three different types of sustainability-related policy issues: 1) epistemological uncertainty (human representation of a given policy problem necessarily reflects perceptions, values and interests of those structuring the problem); 2) complexity (the existence of different levels and scales at which a hierarchical system can be analyzed implies the unavoidable existence of non-equivalent descriptions of it both in space and time); and 3) mathematical manipulation rules of relevant information (compensability versus non-compensability, preference modelling of intensities of preference, mixed information on criterion scores, weights as trade-offs versus weights as importance coefficients, choice of a proper ranking algorithm). This paper focuses on the these three issues and provides an overview of the SMCE approaches to them.\",\"PeriodicalId\":33953,\"journal\":{\"name\":\"Notas Economicas\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Notas Economicas\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14195/2183-203x_56_1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Notas Economicas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14195/2183-203x_56_1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sustainability policy evaluation and assessment seeks to answer the key question, sustainability of what and whom? Consequently, sustainability issues are multidimensional in nature and feature a high degree of conflict, uncertainty and complexity. Social multi-criteria evaluation (SMCE) has been explicitly designed for public policies; it builds on formal modelling techniques whose main achievement is the fact that the use of different evaluation criteria translates directly into plurality of values and dimensions underpinning a policy process. SMCE aims at being inter/multi-disciplinary (with respect to the technical team), participatory (with respect to the community) and transparent. SMCE can help deal with three different types of sustainability-related policy issues: 1) epistemological uncertainty (human representation of a given policy problem necessarily reflects perceptions, values and interests of those structuring the problem); 2) complexity (the existence of different levels and scales at which a hierarchical system can be analyzed implies the unavoidable existence of non-equivalent descriptions of it both in space and time); and 3) mathematical manipulation rules of relevant information (compensability versus non-compensability, preference modelling of intensities of preference, mixed information on criterion scores, weights as trade-offs versus weights as importance coefficients, choice of a proper ranking algorithm). This paper focuses on the these three issues and provides an overview of the SMCE approaches to them.