Yeşi̇l Veri̇mli̇li̇k Kavraminin Bi̇bli̇yometri̇k Anali̇zi̇

Abstract

Aim: This study aims to determine the relationships between studies, important sub-topics and new trends in the field, in parallel with the increasing studies in the field of green productivity in recent years. Method: Using the Web of Science database, 118 studies on green productivity published between 1980 and 2021 were analyzed with bibliometric analyzes through the R and Vosviewer program. Findings: The results obtained from the analyzes were shared under two separate headings: Descriptive Statistics and Network Analysis. As descriptive statistics, the most productive journals, authors, and countries were shared. With descriptive statistics, it was found out that the most productive journal is the Journal of Cleaner Production and the most productive institution is Xiamen University. The study found that China is the most productive country in the field of green productivity. As part of the network analysis, co-occurrence, co-citation, co-authorship, and country collaboration in the field of green productivity were tried to be revealed. Co-occurrence analysis shows that 21 nodes and six clusters are formed. The authors are divided into seven clusters in the co-authorship analysis, and Li Ke has the most links. The country with the most links in the country collaboration analysis is China. In the co-citation analysis, it is seen that the studies in the field of "green productivity" are divided into three clusters. Results: As a field of study, green productivity attracts the attention of different science and social sciences disciplines, and the number of publications on this subject is constantly increasing. The interest of different disciplines in the subject field has enabled different keywords to take part in the studies. In addition to showing trends in the field, the study results also show productivity in the corresponding years' range. With our study, researchers who want to work in the field of Green Productivity will be able to identify the guiding articles. Besides, they will be able to identify pioneering researchers, institutions and journals and see the collaborations Makale Geliş Tarihi/