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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Bibliometric dataset (1995-2022) on green jobs: A comprehensive analysis of scientific publications
1UMI SOURCE, Soutenabilité et Résilience (Université Paris-Saclay, UVSQ, IRD), 78280, Guyancourt, France.
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.
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