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Bibliometric dataset (1995–2022) on green jobs: A comprehensive analysis of scientific publications
[Ensemble de données bibliométriques (1995-2022) sur les emplois verts : analyse des publications scientifiques]

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  • Alexandre Mathieu

    (SOURCE - SOUtenabilité et RésilienCE - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines - IRD [France-Nord] - Institut de Recherche pour le Développement)

Abstract

The realm of green jobs presents a fertile ground for understanding the intersecting pathways between sustainable transition and the labor market. We have crafted a bibliometric dataset centered on this concept, amassing 414 articles from the Scopus and Web of Science databases, following a laid down protocol, PRISMA, spanning the period from 1995 to 2022. This endeavor aims to depict the dynamics, themes, and conceptual approaches shaping the discourse on green jobs. The dataset, structured around 13 descriptive variables such as authors, keywords, and cited references, is made available to researchers, institutions, and decision-makers to provide insight into the academic debates on ecological transition through the lens of employment, especially in the wake of a green economy. The potential for reutilizing these data is expansive. They can serve as a foundation for comparative analyses with the media and institutional portrayals of green jobs. Furthermore, the dataset can be enriched by integrating other forms of literature, such as books, chapters, or conference proceedings, while retaining the existing structure. This expansibility paves the way for a multidisciplinary and multilingual exploration, thereby enhancing the richness and diversity of possible analyses.

Suggested Citation

  • Alexandre Mathieu, 2024. "Bibliometric dataset (1995–2022) on green jobs: A comprehensive analysis of scientific publications [Ensemble de données bibliométriques (1995-2022) sur les emplois verts : analyse des publications," Post-Print hal-04338772, HAL.
    • Handle: RePEc:hal:journl:hal-04338772
    DOI: 10.1016/j.dib.2023.109845
    Note: View the original document on HAL open archive server: https://hal.science/hal-04338772
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    References listed on IDEAS

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    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
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    3. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    4. Saïd Echchakoui, 2020. "Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 165-184, September.
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