Development Evolution of the Environmental Risk Management Theory: A Meta-Analysis

Keywords: environmental risk, risk management, searching system, bibliometric analysis, pattern


Due to the continuing trends of emergencies, the attention to solving the environmental risk problems has not lost its relevance for research in various fields. Changes in the development of the modern economy encourage the search for new methods of influencing environmental risks. Therefore, the relevance of the research topic is caused by looking for interrelated perspective directions of future research. In recent decades, the work of many scientists has been devoted to the environmental risks study. The growth of publishing activity has allowed accumulating a significant database, the consideration of which with the help of bibliometric analysis methods can help to identify new areas of research. The article provides a bibliometric analysis of the "environmental risk" concepts. The use of bibliometric data analysis tools allows working with a large number of publications, which makes it possible to identify research trends that are difficult to achieve without using special tools. For the analysis, the frequency dynamics of searching "environmental risk" in the Google search engine and the dynamics of publication activity on this concept in the scientometric database Scopus, for the period of 2004-2019 were determined. On the basis of selected publications with the help of VOSviewer software, visualization maps were constructed according to the selected concepts and their main points of intersection were determined. The results of the study revealed a decrease, but there exists stable attention to the problems of taking into account environmental risk in the economic entities’ activity. The research method of the "ecological risk" concept from the point of view of its essence and structure is substantiated and described step by step.


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Korobets, O., Chygryn, O., Saienko, M., & Liulova, L. (2020). Development Evolution of the Environmental Risk Management Theory: A Meta-Analysis. Virtual Economics, 3(4), 169-187.