This book re-examines the rationale for public policy, concluding that the prevailing ‘public knowledge' model is evolving towards a networked or distributed model of knowledge production and use in which public and private institutions play complementary roles. It provides a set of tools and models to assess the impact of the new network model of funding and governance, and argues that governments need to adapt their funding and administrative priorities and procedures to support the emergence and healthy growth of research networks. The book goes on to explain that interdependencies and complementarities in the production and distribution of knowledge require a new and more contextual, flexible and complex approach to government funding, monitoring and assessment.

Links and Impacts: The Influence of Public Research on Industrial R&D

Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines

Analysis of spatial correlation network of China’s green innovation

The innovation effect of administrative hierarchy on intercity connection: The machine learning of twin cities

Growing importance has been attached to the concept of Entrepreneurial Ecosystems (EE) as productive structures that encompass complex sets of interaction driving economic agents’ competitive capabilities. Drawing from biomimetism, the EE approach dedicates attention to unraveling the mechanisms through which socioeconomic environments organize to introduce new knowledge and innovations in markets. Yet, while challenges associated with identifying the spatial scale of natural ecosystems have long been part of discussions in the field of ecology and evolutionary biology, and in economic geography, the geographic reach of EE remains largely uncharted in literature. Importantly, from a biomimetic standpoint, we know that ecosystems’ boundaries must be defined according to their formative processes, rather than reflect predefined political or administrative boundaries. In this study, we try to shed some light on these topics, underscoring the analytical and methodological challenges associated with the spatiality of entrepreneurial ecosystems. Thinking about entrepreneurial ecosystems as fixed analytical units attached to administrative boundaries will likely cause an inadequate analytical understanding of how entrepreneurship-oriented relationships are distributed in space. 

Spatial features of entrepreneurial ecosystems

Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system

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Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system