Simulation modelling in bioeconomy: Unraveling trends, gaps, and insights through bibliometric analysis

The bioeconomy, a multidisciplinary approach that utilizes biological resources and processes to produce food,
energy, and materials, is crucial for achieving sustainable economic development. As we transition to new value
chains and technologies, it is essential to investigate bioeconomic solutions to substitute fossil-based production.
Advanced modelling techniques are necessary to address the inherent complexity of bioeconomic systems. This
study explores the intersection of simulation modelling and the bioeconomy, highlighting the increasing interest
in these methodologies. We identified key trends and research gaps within this domain by conducting a sys-
tematic literature review and bibliometric analysis. Our refined search strategy yielded 12 publications focusing
on agent-based modelling (ABM) applications in the bioeconomy, providing insights into micro-level and macro-
level analyses. The findings reveal ABM’s potential to simulate complex interactions within bioeconomic sys-
tems, emphasizing its ability to integrate social, economic, and environmental dimensions. The study uncovers
gaps in holistically modelling innovative biorefinery technologies. ... mehrThese insights can help guide future research
efforts by showing the need for adaptive and interdisciplinary approaches to enhance knowledge about bio-
economic value networks and to derive measures and strategies for their long-term establishment.