Agricultural Greenhouse Gas Emission Topic Clustering Based on Keyword Co-occurrence Analysis

Abstract

Greenhouse gas emission is widely known as the biggest culprit of climate change on earth. Emissions from agricultural sector, as the second greatest greenhouse gas emission source, has received increasing attention. In order to find the research hotspots and frontiers of this area, a bibliometric analysis was conducted and visualized using bibliometrix package of R and VOSviewer software based on co-word analysis. 1133 research papers were collected from Web of Science database from 2011 to 2020. During the last decades, we saw a continuous increase in the number of publications. China published the highest number of documents which accounts for 30% of total publications, followed by USA and German with proportions of 10% and 7.6% respectively. 2529 key words were identified, cluster analysis was conducted based on the co-occurrence of these terms. The result of this study may reveal the research hotspots and frontiers of this area.