4.6 Article

Bridging modelling and policymaking efforts to realize the European bioeconomy

Journal

GLOBAL CHANGE BIOLOGY BIOENERGY
Volume 14, Issue 11, Pages 1183-1204

Publisher

WILEY
DOI: 10.1111/gcbb.12996

Keywords

bio-based products; bio-based value chains; bioeconomy; biorefineries; European Bioeconomy Strategy; modelling; models; policy; value chains

Funding

  1. European Union Horizon [652683]
  2. H2020 Societal Challenges Programme [652683] Funding Source: H2020 Societal Challenges Programme

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This paper evaluates the implementation of the European Bioeconomy Strategy by analyzing 39 policies and 32 models. The study finds gaps in both policy and modelling knowledge regarding bioeconomy, with limited consideration given to bio-based products, technologies and processes, bio-refineries, waste and land conservation. The integration of market and biophysical drivers within the value chain is also lacking.
The European Bioeconomy Strategy aims to facilitate the transition from a take-make-dispose fossil economy into one fostering circular bio-based value chains linking sustainable land use with cutting-edge products. Optimized designs, implementation and monitoring rely on continuous interactions between policymakers and modellers who run multiple scenarios for environmentally, economically and socially desirable futures. This paper leverages a multi-layered framework that cross-references 39 policies and 32 models to assess how they address the five principle objectives of the Bioeconomy Strategy in terms of accompanying sectors, value chains and multi-dimensional indicators. The framework identifies gaps in bioeconomy knowledge both in policy and modelling. Overall, the analysis found little mention of the wide range of bio-based products, technologies and processes, bio-refineries, waste and land conservation. Bio-based product policies can be simulated only in a limited number of models, compared, for example, to the wide range of modelling capacities that can model bioenergy. Additionally, in both policy and modelling realms, integration of market and biophysical drivers within the full scope of the value chain is scarce. Multidisciplinary studies combining multiple models perform best in this respect by integrating a more comprehensive range of relevant policies, bioeconomy drivers and indicators. Findings point to a more significant issue in policy-modelling information exchange, and this paper discusses the challenges and opportunities for future improvements in this collaboration.

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