{"title":"Stated preference methods and STI policy studies: a foreground approach","authors":"Víctor Gómez-Valenzuela","doi":"10.1093/reseval/rvad022","DOIUrl":null,"url":null,"abstract":"Abstract This discussion article explores the ontological and epistemic basis for analysing social preferences in the broader interdisciplinary field of Science, Technology, and Innovation (STI) policy studies and its evaluation using stated preference (SP) methods. STI policy studies base their approximations of policy problems on a revealed preference (RP) approach, which analyses economic agents' actual market behaviours based on standardized data sources. SP methods arose as an alternative to address the analysis of public goods for which the market fails to assign prices efficiently and can only be evaluated in hypothetical or contingent situations. In an analytical context of complexity defined by grand societal challenges related to the provision of public goods to be addressed by STI transformative policies, analysing social preferences by SP methods could support a more robust and holistic approach to STI policy analysis and its evaluation, improving the policy-making process and promoting more informed policy mixes and evaluation policy mixes. A kind of Kantian categorical imperative favouring SP methods is discussed based on the new STI policy research agenda on transformative change and supported by axiology around social choice, welfare, and a more participative STI policy governance.","PeriodicalId":47668,"journal":{"name":"Research Evaluation","volume":"34 1","pages":"0"},"PeriodicalIF":2.9000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Evaluation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/reseval/rvad022","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract This discussion article explores the ontological and epistemic basis for analysing social preferences in the broader interdisciplinary field of Science, Technology, and Innovation (STI) policy studies and its evaluation using stated preference (SP) methods. STI policy studies base their approximations of policy problems on a revealed preference (RP) approach, which analyses economic agents' actual market behaviours based on standardized data sources. SP methods arose as an alternative to address the analysis of public goods for which the market fails to assign prices efficiently and can only be evaluated in hypothetical or contingent situations. In an analytical context of complexity defined by grand societal challenges related to the provision of public goods to be addressed by STI transformative policies, analysing social preferences by SP methods could support a more robust and holistic approach to STI policy analysis and its evaluation, improving the policy-making process and promoting more informed policy mixes and evaluation policy mixes. A kind of Kantian categorical imperative favouring SP methods is discussed based on the new STI policy research agenda on transformative change and supported by axiology around social choice, welfare, and a more participative STI policy governance.
期刊介绍:
Research Evaluation is a peer-reviewed, international journal. It ranges from the individual research project up to inter-country comparisons of research performance. Research projects, researchers, research centres, and the types of research output are all relevant. It includes public and private sectors, natural and social sciences. The term "evaluation" applies to all stages from priorities and proposals, through the monitoring of on-going projects and programmes, to the use of the results of research.