Seifallah Andayesh

Abstract: Agriculture economics studies have evolved significantly over the years, with various research areas and subfields emerging. This study aims to map the knowledge structure of agriculture economics studies using co-word analysis. We used the Web Of Science database to retrieve a total of 21,730 articles published in agriculture economics between 1985 and 2022. We analyzed the titles and abstracts of these articles using the VOSviewer software to create a co-word map of the most frequent co-occurring terms. Our results show that In terms of frequency, the keyword "agriculture" had the highest rate, and in terms of co-occurrence, the two keywords "poverty" and "panel data" had the highest frequency. The results of the co-word analysis show that the research areas of agriculture economics studies can be categorized into six main clusters: (1) adoption, (2) demand, (3) agricultural policy, (4) trade and markets, (5) productivity and efficiency, and (6) risk. Analysis provides a comprehensive overview of the knowledge structure of agriculture economics and can be used to guide future research and policy development in this field.