During the past 40 years, Shenzhen has risen from a fishing village into a globally leading innovation hotspot. What drives such remarkable growth? Is there a “Shenzhen model” for technological catch-up that is different from the classical “Silicon Valley model”? What kind of policy lessons can Shenzhen offer to developing countries and lag-behind regions? Based on international patent and scientific publication data, this report classifies Shenzhen’s technological trajectory and catch-up process into three stages: 1) accessing advanced technology by participating in the Global Production Networks (GPNs) and Global Value Chains (GVCs), 2) accumulating technological knowledge and enhancing absorptive capability through imitation and 3) achieving indigenous innovation. We interpret this remarkable catch-up process from the perspective of 1) technological specialization, 2) the local innovation ecosystem and 3) its embeddedness into the Global Innovation Networks (GINs). The last part summarizes Shenzhen’s policy lessons in fostering innovation-based economic growth in developing countries and areas.

The Global Innovation Index ranks the innovation performance of 142 countries and economies around the world, based on 84 indicators. This edition explores the impact of innovation-oriented policies on economic growth and development. High-income and developing countries alike are seeking innovation-driven growth through different strategies. Some countries are successfully improving their innovation capacity, while others still struggle.

The Global Innovation Index 2020 provides detailed metrics about the innovation performance of 131 countries and economies around the world. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication. The 2020 edition sheds light on the state of innovation financing by investigating the evolution of financing mechanisms for entrepreneurs and other innovators, and by pointing to progress and remaining challenges – including in the context of the economic slowdown induced by the coronavirus disease (COVID-19) crisis.

The Global Innovation Index 2019 provides detailed metrics about the innovation performance of 129 countries and economies around the world. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication. The GII 2019 analyzes the medical innovation landscape of the next decade, looking at how technological and non-technological medical innovation will transform the delivery of healthcare worldwide. It also explores the role and dynamics of medical innovation as it shapes the future of healthcare, and the potential influence this may have on economic growth. Chapters of the report provide more details on this year’s theme from academic, business, and particular country perspectives from leading experts and decision makers.

This book offers a geographic dimension to the study of innovation and product commercialization. Building on the literature in economics and geography, this book demonstrates that product innovation clusters spatially in regions which provide concentrations of the knowledge needed for the commercialization process. The book develops a conceptual model which links the location of new product innovations to the sources of these knowledge inputs. The geographic concentration of this knowledge fonns a technological infrastructure which promotes infonnation transfers, and lowers the risks and the costs of engaging in innovative activity. Empirical estimation confinns that the location of product innovation is related to the underlying technological infrastructure, and that the location of the knowledge inputs are mutually reinforcing in defining a region's competitive advantage. The book concludes by considering the policy implications of these fmdings for both private finns and state governments. This work is intended for academics, policy practitioners and students in the fields of innovation and technological change, geography and regional science, and economic development. This work is part of a larger research effort to understand why the location of innovative activity varies spatially, specifically the externalities and increasing returns which accrue to location. xi Acknowledgements This work has benefitted greatly from discussions with friends and colleagues. I wish to specifically note the contribution of Mark Kamlet, Wes Cohen, Richard Florida, Zoltan Acs and David Audretsch. I would like to thank Gail Cohen Shaivitz for her dedication in editing the final manuscript.

In this report, the authors describe what information would be needed to better understand China's innovation trajectory in the coming decades. They examine the propensity in China's innovation system to realize its potential as an innovating nation.