Purpose of mathematical models in bioeconomy.

<div><p>Background</p><p>The bioeconomy, an evolving concept promoting sustainable use of renewable biological resources, confronts the challenge of balancing growth and sustainability across sectors like biotechnology, agriculture, and forestry. This study aims to elucidate the bioeconomy’s dynamic nature, constructing a comprehensive theoretical model addressing these complexities.</p><p>Methodology</p><p>Through an extensive literature review, foundational elements for this model were identified: defining the core concept, delineating relevant variables, specifying assumptions and parameters, and depicting relationships through equations or diagrams. Special attention was given to integrating Georgescu-Roegen’s insights, emphasizing causal links, state variables, measurement scales, and validation plans.</p><p>Results</p><p>The model incorporates Georgescu-Roegen’s insights, highlighting the importance of clearly defining the bioeconomy for a comprehensive understanding. The proposed model leverages variables, assumptions, and equations within Georgescu-Roegen’s framework, serving as a crucial tool for researchers, policymakers, and industry stakeholders. This approach facilitates research structuring, informed decision-making, and interdisciplinary collaboration.</p><p>Conclusion</p><p>By addressing the bioeconomy’s evolution, and cross-sectional boundaries, and adopting a broader perspective, this study contributes to policy development for a more sustainable and integrated bioeconomy. Based on empirical knowledge, this model provides not only a solid theoretical framework but also practical guidelines for advancing toward a balanced and resilient bioeconomy.</p></div>