1. Tri-Circularity
• System §1: Circular Economy
1.1. Complex adaptivity, regeneration and restoration
1.2. Self-maintenance/sustainance
1.3. Value transformation
• System §2. Non-hierarchical governance defined by
overlaps&gaps, change&continuity (inspired by Holling, 2001)
2.1. Socio-institutional - hybrid networked governance (Jones
et al. 1997) for autopoiesis (Teubner, 1988) with intensity-
oriented effectiveness and transformation of policy barriers into
leverage points
2.2. Socio-economic – parsimonious capital controls towards
multivariate capital multiplication
2.3. Socio-natural – natural resource management via technical
biomimicry oriented towards value cycling and energy
transformation
• System §3. Reduced externalities
3.1. Externalities: Policy can result in distant unintended
effects on the environment (Liu et al., 2013)
3.2. Reflexivity (Feindt & Weiland, 2018): unwanted effects on
the food-water-energy security
3.3. Resource sovereignty: achieving resilience through focus
goods with low price elasticity of demand and substitution of
bio-imports
• Logic: Deducting holistic definition of system §1, applying each
selected business model as a case study onto a specific socio-
spatial setting analysed via system §2, enhancement of resilience
and sustainability via §3, looping back into system §1,
updating&remodelling
• Some considerations:
• Q1: What could value look like in a circular bioeconomy?
a) increase, diversification, redirection of outputs
b) captured monetary value – reduced costs and higher revenues
transformation of value
c) delivery and creation of novel processes, capabilities,
configurations, benefits for nature
• Q2: What actor constellations and policy mixes could result in
transformation leverage?
a) Top-down instruments are insufficient for accelerated uptake,
but traditional entrepreneurship might be redundant
b) Macro reductionism to be avoided – policies are space specific
(Savage, 2019)
c) Constraints for replicability might differ according to context
d) Shifts in supply chains and responsibility might be necessary
1Copyright: Teodor Kalpakchiev, the-enpi.org

2. Regulatory critique
• „Piecemeal“
• Focus on plastics and chemicals
• Fragmented eco-labelling
• Non-elastic primary value chains
• Heterogenous interdisciplinarity
• Restrictive regulations
• crickets for burgers cannot be fed
with food waste from restaurants, as
they are considered cattle
• Lacking bottom-up and top-down
integration (REDD+ <-> ETS)
Copyright: Teodor Kalpakchiev, the-enpi.org 2

3. Application Modalities
• The Circular (Bio-)economy as example:
• An evolving meta-sector (Iversen et al., 2019) that can be defined as a micro level 6R Bio-
Hierarchy for regenerative and restorative cascading to closed looping: Refuse, reduce, reuse,
repurpose, recycle, recover (Kirchherr et al., 2017), (Reike et al., 2018), (Sandoval et al,
2018)
• Other elements of CE: biomimicry, reverse logistics, collaborative creation and consumption,
sharing, performance contracting, ecology of things, spatial ecology
• Potential business models:
• Low-tech:
• Biowaste into edible protein through feeding crickets or larvae
• Biowaste into bio=silk through feeding silkworms (biobased textiles)
• Biowaste fed aquaponics for fish, fishwaste as fertilizers and herboils, Greaywater seaweed
into food, cosmetics (ocean farming)
• Biowaste composting for organic fertilizers
• Biowaste compression into utensils, cardboard substitutes
• Biowaste/hemp/coastal algae concrete for retrofitting/pavement (replacing non-sustainable raw
materials in construction
• Biowaste (e.g. peels) into cosmetic oils and fragrances (orange)
• Lichen and moss-based carbon capture near industrial sites
• Hi-tech: bioethanol, microalgae fuels, cogeneration of heat and energy, compostable
packaging from biowaste mushrooms, aquatic plants into paper, yarn from citrus
peels celluloses, nutrient recovery from animal waste, biorefineries, hydrogen from
biowaste methane, bioethanol from corncob, social enterprises for remote sensing
informed optimization of biowaste
• Full list of ¬100 circularity innovations: attached.
• Emergence:
• Circular business model innovations are by nature networked: collaboration, communication, and
coordination within complex networks of interdependent, but independent actors/stakeholders
(Antikainen, & Valkokari, 2016), their material flows connect different sectors (Pigford et al, 2018)
• Modes for inducing change include radical transition through structural change (Transition Theory),
entrepreneurship (new actors and technology), orchestration of supply chains, non-ownership contracting
(Transaction cost theory), (Parida et al, 2019)
• Barriers, Challenges and Factors (Tura et al., 2019), (Williams,2019), (Jarre et al, 2019), (Bugge et al,
2019)
• Macro does not preclude need for micro-governance, focus is usually on single category/major
commodity on state level, dependency on linear operations (structural inertia/path dependence)
• Institutional complementarity and incumbent organisations prevent change, lack of (municipal
government) officials’ awareness, lack of network support, cross-sector integration, suitable partners,
market mechanisms for recovery
• Research gap: individual factors
• Economic uncertainty, complexity of laws, ineffective taxonomy, split incentives, vested interest, private
actors capture of public services (e.g. waste collection), no performance contracting
• No standard for looped resources, low price of finite, virgin resources; disconnect from resource cycle,
perception of mistrust (incl. in sharing information)
• Networking within the supply chain, general knowledge, information about material composition
• Research gap: policy interactions
• Potential restrictions:
• Lack of technical expertise, lack of information, lack of demonstration sites, low dynamic capabilities,
corporate capture (SMEs?), availability of waste
3Copyright: Teodor Kalpakchiev, the-enpi.org

4. Framework
• System §1: Systemic categorization of bio-innovation
1.1. Qualitative: Literature review, incl. adjacent concepts and grey literature, using
discourse analysis grounded theory to develop a holistic circular bioeconomy definition
1.2. Qualitative *R: Using the R software to connect the 3-9R waste hierarchy and
categorize business innovation types
1.3. Path-dependence: process tracing for biobased businesses emergence selected via
a) reviewed literature, databases, platforms and blogs
b) investigation of sectors, factors and effectiveness
• System §2: Hybridization of stakeholder constellations
• 2.1. Map (multi-level) actor constellations and policy (Actor/social network theory)
• factors/motivation of peripheral actors to participate (microfoundations/stakeholder theory),
inform on interaction intensity, social capital; usage of interviews at institutions to
adjust/complement;
• Group existing policies according to scale (multi-level governance) and type (command and
control, market, participatory, voluntary if any);
• Do these contribute to knowledge capacity, institutional learning and cross-sectoral
collaborations (epistemic networks)
• 2.2. Examine if there are split incentives/vested interests against circular economy
disruption by incumbent economic actors;
• 2.3. Investigate dependency on resource base, e.g. available waste
streams/biomass/resource endowments;
• Identify policy gaps and deficiencies;
• Conceptualize value creation and assess business model sustainability.
• System §3: Re-conceptualizing connectivity
• Investigate supply chain (bioregionalism vs. distant coupling) via
tradesift/laboratory of economic complexity/eustat, examine potential effects on
energy/water/food security based on supply chains;
• Propose feedback policy on more circular feedstocks, potential elasticity gains, such
as substitution of import commodities for resource sovereignty, etc.
• Hypotheses:
• H1: Supply-push incentives are only supplementary to demand-pull regulations for
circularity.
• Null: Demand-pull regulations are inefficient without supply-push incentives.
• H2: The existence of an inclusive collaboration initiative/platform is a precondition
for the emergence of biocircular businesses.
• Null: Biocircular businesses appear as a result of subjective factors.
• H3: Biocircular businesses are directly related to local resource endowments and
secondary resource markets.
• Null: Biocircular business are not dependent on local resource endowments and secondary
resource markets.
• Empirical experiment(s):
• Usage of secondary evidence collected within the research plan for System §1 & §2
to construct a Q methodology-based (a bottom-up method in which interpretation of
qualitative results is constrained by statistical analysis; no predefined questions,
instead interaction with statements on a 13-point scale from -6 to +6) set of
statements that will target groups of respondents in policy environments responding
to the hypotheses. Coding of various statements via SPSS /possibly R for visuals/.
• Possibly deduct and conduct a second controlled experiment with representative
focus groups, which would be provided adapted statements related to the
hypotheses, whereby the second group (with similar background) will be provided
with information regarding potential business models and their financial
sustainability.
4Copyright: Teodor Kalpakchiev, the-enpi.org

5. References
• Antikainen, M., Valkokari, K. 2016. A Framework for Sustainable Circular Business Model Innovation. Technology Innovation Management Review, 6 (7), 5-12
• Bugge et al, Theoretical perspectives on innovation for waste valorisation in the bioeconomy, Chapter in From Waste to Value (2019)
• C. S. Holling, Understand the Complexity of Economic, Ecological, and Social Systems, Ecosystems (2001) 4: 390-405
• Egenolf&Bringezu, Conceptualization of an Indicator System for Assessing the Sustainability of the Bioeconomy, Sustainability 2019, 11, 443
• Glenn C. Savage, What is policy assemblage?, Territory, Politics, Governance (2019)
• Gunther Teubner, Autopoietic Law - A New Approach to Law and Society, EUI, 1988, p. 224
• Iversen et al., Actors and innovators in the circular bioeconomy, Chapter in From Waste to Value (2019)
• Jarre et al., Transforming the bio-based sector towards a circular economy - What can we learn from wood cascading?, Forest Policy and Economics (2019)
• Joanna Williams, Circular Cities: Challenges to Implementing Looping Actions, Sustainability 2019, 11, 423
• Jones et al., A General Theory of Network Governance: Exchange Conditions and Social Mechanisms, The Academy of Management Review (1997), Vol. 22, No. 4
• Kirchherr et al., Conceptualizing the circular economy: An analysis of 114 definitions, Resources, conservation & recycling (2017), 221-232
• Liu et al, 2013. Framing sustainability in a telecoupled world. Ecology and Society 18(2): 26
• Parida et al., Reviewing Literature on Digitalization, Business Model Innovation, and Sustainable Industry: Past Achievements and Future Promises, Sustainability 2019, 11, 391
• Peter H. Feindt& Sabine Weiland (2018) Reflexive governance: exploring the concept and assessing its critical potential for sustainable development. Introduction to the special issue, Journal of Environmental Policy &
Planning, 20:6, 661-674
• Pigford et. al, Beyond agricultural innovation systems?, Agricultural Systems 164 (2018) 116-121
• Prieto-Sandoval et al., Towards a consensus on the CE, Journal of Cleaner Production 179 (2018) 605-615
• Reike et al., The circular economy: New or Refurbished as CE 3.0?, Resources, Conservation & Recycling 135 (2018) 246–264
• Tura et al., Unlocking circular business:A framework of barriers and drivers, Journal of Cleaner Production 212 (2019) 90-98
5Copyright: Teodor Kalpakchiev, the-enpi.org