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TitleCorporate social responsibility and corporate tax aggressiveness: a scientometric analysis of the existing literature to map the future
Author(s)Issah, Osman
Lima Rodrigues, Lúcia
KeywordsCorporate social responsibility
Tax aggressiveness
Scientometric analysis
Issue date1-Jun-2021
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
JournalSustainability (MDPI)
CitationIssah, O.; Rodrigues, L.L. Corporate Social Responsibility and Corporate Tax Aggressiveness: A Scientometric Analysis of the Existing Literature to Map the Future. Sustainability 2021, 13, 6225.
Abstract(s)Using data from 2003 to 2020, this study uses a scientometric approach to investigate the nexus between Corporate Social Responsibility (CSR) and corporate tax aggressiveness research. The objective is to identify under-explored regions, variables, citation patterns, theories, and unexplored topics in the body of knowledge to establish trends in publications on issues about corporate social responsibility and corporate tax aggressiveness. In addition, the study also considers publication journal areas of focus. Research linking CSR and tax avoidance using VOSviewer and triangulating with CiteSpace, by way of approach, is not found in the literature. The findings suggest that CSR and corporate tax aggressiveness researchers do not use far-reaching relevant theories and applicable findings from studies beyond their clusters. Another finding is that African countries remain under-explored due to the absence of institutional representation and an adequate number of investigators regarding CSR and corporate tax aggressiveness research. Finally, the study reveals a number of research topics to be explored. Governments, particularly in developing economies, should create policies that define taxes as part of an entity’s CSR narrative to enhance transparency and legitimacy. In addition, the study is of immense significance to master and PhD students since it provides an agenda for future research.
Publisher version
AccessOpen access
Appears in Collections:BUM - MDPI

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