{"title":"Energy policy-making in the European Union between past and present","authors":"Samuele Lo Piano , Andrea Saltelli","doi":"10.1016/j.erss.2025.104296","DOIUrl":null,"url":null,"abstract":"<div><div>We use instruments from sociology of quantification to investigate a persistent paradox: the problematic technical quality of modelling studies when these are aimed at policy analysis. We review new and old instances of this paradox, focusing specifically on two energy assessment studies: one performed in the eighties and one recent. We apply sensitivity auditing, an existing checklist for the quality of quantification at the science-policy interface, which appraises the overall model framing process and application. The old energy assessment case is a study that was the subject of a pointed criticism by sociologist of science and technology Brian Wynne in a paper published in 1984. The recent impact analysis is from the European Commission, aimed to inform the selection of greenhouse-gases emission targets for 2040 in the European Union. The similarities in the shortcomings identified by Wynne and those we see in the European Commission one using sensitivity auditing seem to indicate that the lesson from that controversy was not learned, or that at a more fundamental level the purpose of these relevant institutional analyses is not to trace a path to a sustainable energy future but to reassure and confirm present policy agendas and visions, along the lines of a policy-based evidence strategy well known to sociologists of quantification. We investigate how modelling plays a key role in facilitating these analytic distortions, and conclude with some suggestions for progress, anchored to the double nature—technical and normative—of quantification and on the need for more analytic lenses to be systematically deployed when reading a policy assessment that builds on models.</div></div>","PeriodicalId":48384,"journal":{"name":"Energy Research & Social Science","volume":"127 ","pages":"Article 104296"},"PeriodicalIF":7.4000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Research & Social Science","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214629625003779","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
We use instruments from sociology of quantification to investigate a persistent paradox: the problematic technical quality of modelling studies when these are aimed at policy analysis. We review new and old instances of this paradox, focusing specifically on two energy assessment studies: one performed in the eighties and one recent. We apply sensitivity auditing, an existing checklist for the quality of quantification at the science-policy interface, which appraises the overall model framing process and application. The old energy assessment case is a study that was the subject of a pointed criticism by sociologist of science and technology Brian Wynne in a paper published in 1984. The recent impact analysis is from the European Commission, aimed to inform the selection of greenhouse-gases emission targets for 2040 in the European Union. The similarities in the shortcomings identified by Wynne and those we see in the European Commission one using sensitivity auditing seem to indicate that the lesson from that controversy was not learned, or that at a more fundamental level the purpose of these relevant institutional analyses is not to trace a path to a sustainable energy future but to reassure and confirm present policy agendas and visions, along the lines of a policy-based evidence strategy well known to sociologists of quantification. We investigate how modelling plays a key role in facilitating these analytic distortions, and conclude with some suggestions for progress, anchored to the double nature—technical and normative—of quantification and on the need for more analytic lenses to be systematically deployed when reading a policy assessment that builds on models.
期刊介绍:
Energy Research & Social Science (ERSS) is a peer-reviewed international journal that publishes original research and review articles examining the relationship between energy systems and society. ERSS covers a range of topics revolving around the intersection of energy technologies, fuels, and resources on one side and social processes and influences - including communities of energy users, people affected by energy production, social institutions, customs, traditions, behaviors, and policies - on the other. Put another way, ERSS investigates the social system surrounding energy technology and hardware. ERSS is relevant for energy practitioners, researchers interested in the social aspects of energy production or use, and policymakers.
Energy Research & Social Science (ERSS) provides an interdisciplinary forum to discuss how social and technical issues related to energy production and consumption interact. Energy production, distribution, and consumption all have both technical and human components, and the latter involves the human causes and consequences of energy-related activities and processes as well as social structures that shape how people interact with energy systems. Energy analysis, therefore, needs to look beyond the dimensions of technology and economics to include these social and human elements.