This thesis involves construction of input-output models measuring the economic impact of a farming innovation organisation (The Birchip Cropping Group) on the Victorian regional economy of Buloke Shire. The input-output modeling undertaken is of two forms; the first being a simple naïve top-down model, and the second a more sophisticated hybrid model. The naïve top-down model is based on input-output coefficients drawn from the Australian national input-output tables, and is regarded as naïve because these input-output coefficients are not adjusted to take account of local economic factors. The hybrid model uses the same national input-output coefficients as a base, and then modifies these coefficients to better reflect industrial conditions in the Shire using a location quotients-adjustment technique, as well as using original survey data collected from entities operating in Buloke Shire. One of the aims of the thesis is to determine whether the simpler naïve top-down approach produces results consistent with the theoretically more accurate hybrid methodology, and thus whether the naïve top-down approach represents a reliable method of conducting regional economic impact analysis. That is, can such studies be undertaken accurately using a naïve top down approach, or is it necessary to adopt the more resource intensive methodology of a hybrid model. The results of the analysis suggest construction of a hybrid model is advisable, as generally the naïve top-down approach produces over-estimates of the economic effects of the Birchip Cropping Group. That is, it appears the economic impact multipliers estimated with the naïve top-down model are too large, suggesting the time and effort involved in constructing the hybrid model was worthwhile. Using the hybrid model, the conclusion is that the Birchip Cropping Group has a significant affect on the regional economy of Buloke Shire, with the economic impact being estimated at close to $600,000 in additional output, $61,000 in additional income, and 3.5 additional jobs per year.

Zahlreiche Hoffnungen sind mit einer auf Pflanzen basierenden Wirtschaft, einer Bioökonomie, verbunden. Ob deren Weiterentwicklung den Zustand der Umwelt und die Wohlfahrt eines Landes verbessern kann, bleibt jedoch fraglich. Sich im Aufbau befindliche Bioökonomie-Monitoring-Systeme haben die Aufgabe, Informationen über Zielkonflikte zu liefern und somit eine erkenntnisgestützte Politikgestaltung zu ermöglichen. Das Ziel dieser Doktorarbeit ist es, Erkenntnisse für die Weiterentwicklung solcher Systeme zu gewinnen. Bisher entwickelte Bioökonomie-Indikatoren sind ungeeignet, den Übergang von einer fossil-basierten zu einer bio-basierten Wirtschaft korrekt abzubilden. In der vorliegenden Arbeit werden deshalb entsprechende Indikatoren entwickelt und am Beispiel der Biokunststoffproduktion in Deutschland gemessen. Damit leiste ich einen Beitrag zur systematischen Indikatorenentwicklung, zur Charakterisierung einer bestimmten Bioökonomie-Transformation und zur quantitativen Modellierung der Indikatoren. Zukünftige Bioökonomie-Monitoring-Systeme könnten davon profitieren, wenn die Indikatorenentwicklung noch stärker als Prozess verstanden wird, der eine Auseinandersetzung mit den Zielen und deren Messbarkeit umfasst, sich so lange wiederholt bis zufriedenstellende Indikatoren verfügbar sind und die wichtigsten Akteure einbezieht. Zudem ist ein stärkerer Fokus auf nachhaltige Bioökonomie-Transformationen erforderlich, die sich an einem kreislauf- und suffizienzbasierten Wirtschaften orientieren und den Substitutionsbegriff weiter fassen als bisher. Das hier entwickelte Biokunststoff-Modell könnte in Monitoring-Systeme integriert werden, wenn es um Kohlenstoffflüsse und Post-Produktionsprozesse ergänzt wird. Forschungsbedarf besteht beim Aufbau eines auf gesellschaftliche Bedürfnisse fokussierten Monitoring-Systems und bei der Wirksamkeit von Monitoring-Systemen in der politischen Entscheidungsfindung. / The relationship between bioeconomy transitions and sustainable development is not straightforward. For policymakers it is often difficult to keep track of bioeconomy developments and formulate appropriate bioeconomy-related policies that are also conducive towards sustainable development. Consequently, bioeconomy monitoring systems have recently been initiated to provide more reliable sources of information. There is a clear mismatch between the vision of a transition from fossil-based to bio-based economies and available indicators. I aim here to enhance current bioeconomy monitoring systems by developing and applying a set of appropriate indicators and providing insight into three key issues: 1) how indicators can be systematically developed, 2) what dimensions of an economy need to receive attention while monitoring transition from a fossil-based to a bio-based one, and 3) what kinds of quantitative models are suitable for this purpose. This study shows that it is possible to quantify the bioeconomy transition and measure it with systematically developed indicators, applied to plastics substitution. I conclude that, 1) developing bioeconomy indicators should be a process that is goal-oriented, iterative, and inclusive, 2) bioeconomy transition indicators need to exhibit advancement in the circular use of biomass and in sufficient consumption behavior, and 3) the model developed here can be integrated into bioeconomy monitoring systems but requires advances regarding carbon flows and post-production processes. Developers of bioeconomy monitoring systems should develop new indicators through stronger involvement of carefully selected stakeholders. Policymakers need to participate more actively in designing such systems and provide greater and more stable funding. Research could explore sectoral strategies to reduce environmental impacts while fulfilling societal needs, design related indicator sets, and assess their relevance for political decision-making.