Green Transformation: Applying Statistical Data Analysis to a Systematic Literature Review

Iwona Bąk and Katarzyna Cheba ()
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Iwona Bąk: Department of Applied Mathematics in Economy, Faculty of Economics, West Pomeranian University of Technology, 70-310 Szczecin, Poland
Katarzyna Cheba: Department of Applied Mathematics in Economy, Faculty of Economics, West Pomeranian University of Technology, 70-310 Szczecin, Poland

Energies, 2022, vol. 16, issue 1, 1-22

Abstract: The main purpose of the paper was to identify the most frequently discussed directions of research on green transformation. In the article, both the significant similarities in the existing studies in this field, as well as the newly emerging topics of research, are presented. For this purpose, the authors used a systematic literature review with elements of statistical analyses. This kind of approach is not popularly used in literature review papers, as it differs from the research practices employed previously, which mostly concentrated on applying qualitative methods, alternatively supported by the analysis of the co-occurrence of keywords. In this paper, the authors decided to include selected methods of dimensional analysis in the systematic literature review, namely the log-linear and correspondence analyses. The main results of the presented analyses are a more detailed division of studies related to green transformations into groups focused on the areas more difficult to distinguish in terms of the traditionally conducted literature review.

Keywords: green transformation; green transition; green energy; systematic literature review; log-linear model; correspondence analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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