Social Learning for Policy Design: A Bibliometric Analysis
Luis Peña-Campello (),
Elisa Espín-Gallardo,
María José López-Sánchez and
Mariola Sánchez
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Luis Peña-Campello: Department of Economic and Financial Studies, Universidad Miguel Hernández, 03202 Elche, Spain
Elisa Espín-Gallardo: Department of Economic and Financial Studies, Universidad Miguel Hernández, 03202 Elche, Spain
María José López-Sánchez: Department of Economic and Financial Studies, Universidad Miguel Hernández, 03202 Elche, Spain
Mariola Sánchez: Department of Quantitative Methods for Economics and Business, Universidad de Murcia, 30003 Murcia, Spain
Social Sciences, 2024, vol. 13, issue 10, 1-22
Abstract:
Social learning is the main policy-design mechanism that involves interactions between agents. This study provides an overview of the research on policy design using social learning. Descriptive and co-citation analyses were used to identify emerging research lines and thematic similarities between scientific publications. The database used for the bibliometric analysis contained 271 articles published between 1979 and 2022 in 152 journals indexed by the SSCI. We propose a study based on the origins and the future research agenda of social learning for policy design. The results reveal that “environment”, “governance”, and “social” represent the knowledge base. These topics have evolved over time and have become established as a consolidated intellectual structure. In addition, a new topic called “media and news” has emerged, focusing on the challenges of spreading fake news and learning manipulation in a post-truth world. The cluster “Media and news” is gaining significance due to its impact on the dissemination of information and the shaping of opinions in contemporary society.
Keywords: policy design; social learning; bibliometric analysis; WoS; co-citation analysis (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jscscx:v:13:y:2024:i:10:p:504-:d:1486242
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