Wiebke Jander

Mrs. Wiebke Jander


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 June 2020 in Sustainability
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Journal Article
Open access
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WJWiebke Jander
Wiebke Jander
SWSven Wydra
Sven Wydra
JWJohann Wackerbauer
Johann Wackerbauer
PGPhilipp Grundmann
Philipp Grundmann
SPStephan Piotrowski
Stephan Piotrowski
Monitoring bioeconomy transitions and their effects can be considered a Herculean task, as they cannot be easily captured using current economic statistics. Distinctions are rarely made between bio-based and non-bio-based products when official data is collected. However, production along bioeconomy supply chains and its implications for sustainability require measurement and assessment to enable considered policymaking. We propose a starting point for monitoring bioeconomy transitions by suggesting an adapted framework, relevant sectors, and indicators that can be observed with existing information and data from many alternative sources, assuming that official data collection methods will not be modified soon. Economic–environmental indicators and innovation indicators are derived for the German surfactant industry based on the premise that combined economic–environmental indicators can show actual developments and trade-offs, while innovation indicators can reveal whether a bioeconomy transition is likely in a sector. Methodological challenges are discussed and low-cost; high-benefit options for further data collection are recommended.

21 October 2025 in Journal of Cleaner Production
Verified
Journal Article
Open access
WJWiebke Jander
Wiebke Jander
JGJens Günther
Jens Günther
Annette ProchnowAnnette Prochnow
Annette Prochnow

21 September 2021 in MethodsX
Verified
Journal Article
Open access
WJWiebke Jander
Wiebke Jander
• Method enables analyses of bioeconomy transitions. • Step-by-step guide to building an extended hybrid input-output model. • Applied to the case of plastics substitution in Germany using process and industry data. • Flexibility in the model to account for improved data availability.