Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity

Abstract

Sustainability science is, per se, a topic that is inherently interdisciplinarity and oriented towards the resolution of societal problems. In this paper, we propose a classification of scientific journals that composes the journal category “Green and Sustainable Science and Technology” in the period 2014–2018 through the entropy-based disciplinarity indicator (EBDI). This indicator allows the classification of scientific journals in four types based on the citing and cited dimensions: knowledge importer, knowledge exporter, disciplinary and interdisciplinarity. Moreover, the relationship between this taxonomy and the JCR bibliometric indicators and its predictive capacity of the taxonomy is explored through a CHAID tree. As well, relations between the Web of Science categories, journals and taxonomy are explored by the co-occurrence of categories and correspondence analysis. Results suggest that the great majority of journals in this field are specialized or interdisciplinary. However, over the 5-year period proposed in this study, interdisciplinary journals tend to be far more stable than specialized ones. The decision tree has shown that the number of citations is the variable with the greatest discriminating capacity.

Contribution of carbon footprint research towards the triple bottom line of sustainability

“…The Journal of Cleaner Production (JCP) is the leading journal with the highest output of papers in CF research (829 papers), followed by Sustainability (263), and the International Journal of Life Cycle Assessment (161). JCP and Sustainability are highly prolific and specialized journals that cover a wide range of sustainability topics (see Bautista-Puig et al 2021). The International Journal of Life Cycle Assessment is a less productive journal focused on Life Cycle Assessment.…”

“…The article-level analysis (via publication keywords) has been previously tested by Bautista-Puig et al (2021). They utilized a very similar approach to the one used in this study (e.g., keyword classification of the papers to the main TBL pillars, by searching economic, environmental, and social terms).…”