MATE Analysis on the Study of Transportation Methods in Green Energy Trade

Abstract

The global significance of green energy in mitigating environmental damage has garnered substantial attention. However, recent indications suggest a less optimistic outlook for the social acceptance of green energy transportation (GET), accompanied by potential challenges and difficulties from various perspectives. Recognizing the urgency to address this issue and the current absence of a comprehensive overview of the knowledge structure in GET research and its determinants, there is a critical need for high-level insights. In response, this paper aims to provide a clear and accessible bibliometric analysis of GET research and its determinants using MATE (Multi-faceted Analysis of Textual Evidence) methodology. Firstly, employing various bibliometric analyses, the paper offers an in-depth examination of GET publications. This includes insights into active authors, highly productive countries/regions, prominent journals, citation structures, and the thematic evolution of GET. These analyses provide a visual representation of the current landscape of GET research. Secondly, complemented by content analysis, the paper categorizes and identifies key determinants of GET, encompassing technical considerations, adopter levels, corporate promotions, and environmental challenges. This comprehensive approach contributes to a nuanced understanding of the multifaceted factors influencing GET. Finally, the paper synthesizes the findings to highlight existing knowledge gaps and proposes potential future research directions in the realm of GET. By doing so, it equips scholars with a systematic knowledge base and a well-structured comprehension of GET research and its determinants. This research, guided by MATE analysis, serves as a valuable resource to navigate the complexities of GET, facilitating informed decision-making and fostering further exploration in this crucial field.