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Effective bioeconomy? a MRIO-based socioeconomic and environmental impact assessment of generic sectoral innovations

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  • Asada, Raphael
  • Cardellini, Giuseppe
  • Mair-Bauernfeind, Claudia
  • Wenger, Julia
  • Haas, Verena
  • Holzer, Daniel
  • Stern, Tobias

Abstract

The European Commission (EC) expects a bioeconomic transition to have both environmental and socioeconomic benefits. While bioeconomic impact assessments exist, they usually focus on a particular sustainability dimension and on specific products or technologies. To draw a more holistic picture, this paper aims to analyze the substitution impacts of four bioeconomic innovations in terms of policy objectives as formulated by the EC. We estimated the indirect impacts resulting from a partial replacement of non-bio-based inputs with bio-based substitutes in the transport equipment, construction, textile, and chemical sectors. A multi-regional input-output (MRIO)-based approach was used to yield point estimates and uncertainty intervals. While our results point to a number of possible socioeconomic and environmental benefits, there is an astonishing diversity of outcomes across the scenarios with regard to their potentials and limitations to contribute to policy objectives. Decisions on future utilization paths of biomass will strongly influence the characteristics of an upcoming bioeconomy in terms of sustainability. Mere promotion of additional biomass use as a policy strategy is not sufficient to pursue the development of an effective bioeconomy capable to deliver “sustainable growth.”

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  • Asada, Raphael & Cardellini, Giuseppe & Mair-Bauernfeind, Claudia & Wenger, Julia & Haas, Verena & Holzer, Daniel & Stern, Tobias, 2020. "Effective bioeconomy? a MRIO-based socioeconomic and environmental impact assessment of generic sectoral innovations," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    • Handle: RePEc:eee:tefoso:v:153:y:2020:i:c:s0040162519316075
    DOI: 10.1016/j.techfore.2020.119946
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    Cited by:

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    2. Britz, Wolfgang & Li, Jingwen & Shang, Linmei, 2021. "Combining large-scale sensitivity analysis in Computable General Equilibrium models with Machine Learning: An Example Application to policy supporting the bio-economy," Conference papers 333285, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Giurca, Alexandru & Befort, Nicolas, 2023. "Deconstructing substitution narratives: The case of bioeconomy innovations from the forest-based sector," Ecological Economics, Elsevier, vol. 207(C).
    4. Jonsson, Ragnar & Rinaldi, Francesca & Pilli, Roberto & Fiorese, Giulia & Hurmekoski, Elias & Cazzaniga, Noemi & Robert, Nicolas & Camia, Andrea, 2021. "Boosting the EU forest-based bioeconomy: Market, climate, and employment impacts," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    5. Provin, Ana Paula & Dutra, Ana Regina de Aguiar & de Sousa e Silva Gouveia, Isabel Cristina Aguiar & Cubas, e Anelise Leal Vieira, 2021. "Circular economy for fashion industry: Use of waste from the food industry for the production of biotextiles," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    6. Sören Richter & Nora Szarka & Alberto Bezama & Daniela Thrän, 2022. "What Drives a Future German Bioeconomy? A Narrative and STEEPLE Analysis for Explorative Characterisation of Scenario Drivers," Sustainability, MDPI, vol. 14(5), pages 1-32, March.
    7. Sandija Zeverte-Rivza & Laura Girdziute & Agnieszka Parlińska & Peteris Rivza & Anastasija Novikova & Ina Gudele, 2023. "Digitalisation in Bioeconomy in the Baltic States and Poland," Sustainability, MDPI, vol. 15(17), pages 1-20, September.

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