Knowledge Structure and Hotspot Evolution of “Greenwashing”: Based on Citespace and Text Analysis Perspectives

In the context of the country's promotion of ecological civilization and the fulfillment of the "dual-carbon" goal, green and sustainable development should be an important part of the enterprise's connotative development, rather than just "greenwashing" packaging. Although the research on "greening" related topics has been increasing in China, there are deficiencies in quantitative and systematic research. Therefore, in this paper, by studying the overall trend of articles published on web of science from 2013 to 2023, we use citespace to comprehensively and systematically portray the hotspot evolution law in the field of Green Washing. At the same time, we use python to partition the content of the related news Green Washingwashing text, and with the help of mining methods such as neologism discovery and LDA theme model, we identify the hotspot keywords and carry out the evolutionary analysis. The results show that the greenwashing themes mainly focus on greenwashing behavior, green development, green finance, carbon neutrality, information disclosure, social responsibility, sustainable development and environmental performance. Finally, the paper further outlines the existing research framework on greenwash from the theoretical perspective of sustainable development, and offers a perspective on the future direction of article on greenwash governance from three parts: government, business and individuals.