Spatial and temporal evolution of urban innovation network in China

Li, Dandan; Wei, Yehua Dennis; Wang, Tao

doi:10.1016/j.habitatint.2015.05.031

Cited by 78 publications

(49 citation statements)

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“…The Internet has spread from the "hotspots", such as Beijing and Shanghai, to the coastal provinces nearby and then dispersed to neighboring inland provinces. The diffusion path is consistent with that of urban innovation diffusion in China [56]. The study above reveals that there is a similar spatial pattern between Internet penetration and economic development.…”

Section: Patterns Of Internet Penetration In Chinasupporting

confidence: 77%

Internet Access, Spillover and Regional Development in China

et al. 2017

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As Internet access grows at different rates across regions, the Internet has had variable effects on regional economies through agglomeration and spillover effects. This paper uses province-level panel data from 2000 to 2013 to study inequality in Internet access, its spatial effect on regional economies in China and the channels through which the spillover effects are most evident. We find that the Internet has dispersed quickly from core cities, such as Beijing and Shanghai, to coastal provinces; and has had increasingly significant effects on neighboring regions. However, the Internet speed is still comparatively low outside the core cities. We then use endogenous growth models to quantify the effect of Internet access on regional economies. Our results show that, while Internet dispersion is positively associated with economic growth, the spillover effect varies significantly by region and is more pronounced in developed regions. So is the effect of the science and technology environment. Developed regions have benefited the most in the process. The three channels of spillover are listed here in order of relative significance: economy, proximity and urbanization. The spillover effect of the Internet may lead to the divergence of regional economies, working against the national goal of reducing regional inequality.

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Section: Patterns Of Internet Penetration In Chinasupporting

confidence: 77%

Internet Access, Spillover and Regional Development in China

et al. 2017

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“…Yet another study analyzes scientific knowledge networks and technological knowledge networks of China by applying econometric and spatial modelling methods to show the positive correlation between the geographical proximity and the intensity of knowledge spillover effects [9].…”

Section: Literature Reviewmentioning

confidence: 99%

Cluster analysis of regional innovation activity in Russia in 2010-2015

Pushkarev

2018

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“…They have become a core means to promote economic development, especially for less developed areas [14,15]. However, current research on innovation networks focuses on the evolution of network structure [16][17][18], while the relationships between network capabilities and regional innovation development are yet to be thoroughly examined.This paper seeks to address that gap by focusing on the relationships between network capabilities and regional innovation development. It attempts to answer the following questions.…”

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“…">Regional Innovation Networks and Innovation DevelopmentBy the end of the 1980s, theorists of regional innovation systems had taken interest in regional economic development. From this perspective, the regional innovation system is considered as an open, dynamic, self-organizing system; the theory emphasizes the innovation environment, such as the relationships between institutions, law, organization, and culture, and it highlights knowledge spillovers, mutual learning mechanisms, and cooperation [17][18][19]. Instead of focusing solely on enterprises as innovation subjects, studies began to include enterprises, universities, and governments, while innovation models began shifting from linear structure to chain or network [20].…”

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confidence: 99%

“…However, knowledge networks are invisible in the process of cooperation. Therefore, explicit results, such as co-authored papers and patents [16,17], are often used to quantify scientific or technological knowledge networks, and then to study regional innovation networks [8][9][10].The research on innovation networks is summarized in terms of three main concentrations. First, analysis of network structure finds that the greater the city's knowledge acquisition capability, the higher the possibility that knowledge is transformed into innovative output [8].…”

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Innovation, Network Capabilities, and Sustainable Development of Regional Economies in China

Wei

Chen

et al. 2019

Sustainability

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This paper studies the relationships between network capabilities and innovation development in the context of two types of innovation networks: scientific knowledge networks (SKN) and technological knowledge networks (TKN). Focusing on two types of network capabilities, namely acquisition capability and control capability, the paper uses spatial regime models to compare the impacts of multiple factors on different spatial regimes. The main conclusions are the following. First, as regards SKN, the political-administrative hierarchy has shaped the spatial evolution of acquisition capacity, forming a pattern consisting of three dominant cities (Beijing, Shanghai, Nanjing), three subsidiary cities (Guangzhou, Hangzhou, Wuhan), and multiple lesser centers (Tianjin, Chengdu, Xi'an). Moreover, high control capability cities are mainly clustered in the coastal areas, specifically, one monocentric city (Beijing) and two polycentric metropolises (Shanghai, Wuhan). Second, for TKN, cities with high acquisition and control also are mainly found in coastal areas, with Shanghai and Beijing dominating network capabilities. The model's analysis confirms the positive effect of network capabilities on innovation development, especially in scientific knowledge networks, and the driver for regional innovation development appears to have shifted from global pipeline (globalization) to local buzz (localized talents). This paper concludes with suggestions regarding network capabilities' potential to reduce regional inequality and achieve sustainable development of regional economies. Sustainability 2019, 11, 4770 2 of 21With the deepening of the globalization process, economic activities undertaken by multinational corporations began to integrate talents, information, technology, and other production factors on a global scale [2]. Innovation achievements spread around the world, influencing global production networks and other world economic patterns [3,4]. With respect to global cooperation, a network society characterized by "spaces of flows" has emerged [5]. Moreover, network related theories, such as the global production network and the world city network, attempt to explain the new regional development patterns.Characterized by knowledge spillover, a regional innovation network is formed by long-term formal or informal cooperation and interaction between innovative subjects such as enterprises, universities and research institutes, local governments, and intermediary service agencies [6,7]. The "spillover" of new knowledge and innovations from such networks is a vital force in regional development [8-10]. Regional innovation networks provide access to diverse forms of knowledge, technology, and information; and network capabilities are about using these assets effectively [11,12]. In other words, network capabilities comprise the ability to acquire external resources and manage multiple relationships competently [13]. Also, network capabilities may reduce regional inequality and play a significant role in creating competitive ad...

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Spatial and temporal evolution of urban innovation network in China

Cited by 78 publications

References 49 publications

Internet Access, Spillover and Regional Development in China

Internet Access, Spillover and Regional Development in China

Cluster analysis of regional innovation activity in Russia in 2010-2015

Innovation, Network Capabilities, and Sustainable Development of Regional Economies in China

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