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Innovation Networks for Regional Development: Concepts, Case Studies, and Agent-Based Models

Innovation Networks for Regional Development. Overview and ContributionsIntroductionKnowledge-Based Perspective on CollaborationGeographical Dimension of Innovation Network DynamicsRelationship of Network and Regional CompetitivenessPolicy ImplicationsAgent-Based Simulation of Regional Innovation NetworksReferencesI Conceptual Approaches and Case Studies The Evolution of Aerospace R&D Collaboration Networks on the European, National and Regional LevelsIntroductionData and Industry BackgroundHistorical Background of the Aerospace Industry and Technology DevelopmentData Sources: CORDIS and FOrderkatalogThe European Aerospace Invention CommunityThematic Developments and Knowledge Bases Within EU FP-ProjectsThe Composition of the European Aerospace R&D Collaboration NetworkThe Spatial Distribution Within the European Aerospace R&D Collaboration NetworkThe Special Role of SME and One-Time ParticipantsDifferences on the National Level: The German Aerospace Invention CommunityThematic Developments and Knowledge BasesActors Landscape, Community Composition and the Connection to the EU-LevelThe Regional Level: Stuttgart AreaConclusionReferencesThe Knowledge-Base of the Stuttgart Automobile Industry and Its OutreachIntroductionThe Automotive Industry in the Region of StuttgartDescription of e-Mobility and Fuel Cell TechnologiesHydrogen Vehicles and Fuel Cell TechnologiesMethodologyIntroduction to PatentsThe Use of Patent Data for ResearchPatent Citations as a Proxy for Knowledge Flows and Economic Value of InventionsData Description and CollectionDescription of the Data SourceCollection and Processing of the DataResultsGeographical Localization of SpilloversThe Most Important Firms of the RegionDiscussionReferencesThe Local Perspective on Energy Transition and InnovationIntroductionLocal Transition and Theories of Innovation ProcessesRegional Innovation Systems ’ ApproachSocial and Economic Change in the Periphery: The Sustainable Communities ApproachPolicy Intervention and Steering: The Local Governance ApproachHow to Proceed: Three Key Questions for Future Transition and Innovation Research on the Local LevelWhy Considering the Local Level At All?Three Key QuestionsPresenting the Case: The Local Energy TransitionFit with Local Context FactorsPotential of Local MobilizationAbility to Build Long-Term CapacitiesConclusionReferencesA Process Model of Invention and the Role of Government, Institutions, and Geography. Anecdotal Evidence from the Aerospace Industry in the Years 1800-1950IntroductionConceptual FrameworkProcess Model of InventionRegional and Technology Innovation Systems, Institutions, GeographyGovernment InterventionGovernment Intervention in Case of (Financial) Market FailureGovernment as OrchestratorCase 1: Heavier-than-Air FlightFunctionality, Configuration and Design PrincipleFocused Modular ExperimentationLift and Wing DesignThrustStability and ControlStructure and ConfigurationCommunication and Knowledge FlowsInstitutionalizationGovernment InvolvementGeography of Inventive ActivityCase 2: Jet Engine TechnologyTechnological Roots, Invention Streams and ObstaclesConferences, Knowledge Flows and the Role of LocationGovernmental Intervention and Geographical ImpactsThe Case of the UKThe German Success by State-Aids and Geographical ClosenessThe Change in Attitude in the U.S.A.Technological Breakthrough as a Consequence of Governmental InterventionDiscussion and ConclusionReferencesA Descriptive Statistics Exploration of Spatio-temporal Patterns in Inventive Activities in the Pharmaceutical IndustryIntroductionTheoryMethodologyEmpirical StudyDiscussion and ConclusionsReferencesII Methodological Advances and Agent-Based ModelsKnowledge Creation and Research Policy in Science-Based Industries: An Empirical Agent-Based ModelIntroductionKnowledge Creation in Biotechnology-Related IndustriesThe Conceptual ModelAgents, Attributes and StrategiesKnowledge EndowmentStrategiesOrganizational FiguresResearch Processes and System OutputIntroducing Empirical Data to the ModelInitialization of the Agent PopulationCalibration of the Research ProcessesEvaluation of the Agents ’ Research ResultsModel Examination and ApplicationRobustness TestsPolicy ScenariosPolicies Focusing on Inter-organizational CollaborationPolicies Focusing on Risk-Taking PropensityConcluding RemarksReferencesRegional Innovation Systems: An Agent-Based Laboratory for Policy AdviceIntroductionTheoretical BackgroundA Conceptual Framework for a Complex Adaptive Regional Innovation SystemThe Agent-Based ModelThe First Agent: The Competitive Environment CEThe Second Agent: The Competent Actor CAInternal Coherence VerificationParameters SettingThe ExperimentsResults of SimulationsThe Set-Up of the Calibration ActivitiesConclusion and Future DevelopmentsReferencesUsing Participatory Modeling to Enable Local Innovation Through Complexity GovernanceOpening Governance Toward Complexity GovernanceThe Arizona Heat Relief Network CaseComplexity Governance: Enabling Local Decision-Making and InnovationThe Heat Relief Network Participatory Modeling InterventionFurther DiscussionReferencesRegional Specialization and Knowledge Output: An Agent-Based Simulation of the Vienna Life SciencesIntroductionThe Agent-Based ModelEvaluation of Regional Specialization EffectsSpecialization ConceptsSimulating Specialization ScenariosConcluding RemarksReferencesCompetition in the German Market for Retail Electricity: An Agent-Based SimulationIntroductionBackgroundElectricity Market Developments in GermanyInsights from Micro-level DataModelAgent BehaviorGeneration Capacity and Sales StrategyResultsConclusionReferencesSupraregional Relationships and Technology Development. A Spatial Agent-Based Model StudyIntroductionTheoryTechnology Development ModelsHypotheses on Supraregional Relationships and Technological ProgressTechnology Development ModelSpatial Agent-Based ModelSearch HeuristicsCellular World of RegionsSimulation ResultsEmergence of a Core-Periphery Structure of RegionsLeveling Off of Technological ProgressEffect of Knowledge CodificationConclusionReferencesInnovation Networks to Cope with the Geographical Distribution of Technological Knowledge. An Empirically Calibrated Spatial Agent-Based Model StudyIntroductionTechnological Knowledge Discovery ModelSpatial Agent-Based ModelNetworksSearch HeuristicsSimulation ResultsConclusionsReferences
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