2014
DOI: 10.1068/a130283p
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The Geography of Chinese Science

Abstract: Chinese scientific output has increased dramatically in recent years, but its internal spatial structure has received scant attention. Estimated gravity models of intercity scientific coauthorships show that there are two types of spatial political bias in China, apart from the expected mass and distance effects. Intercity coauthorships involving Beijing are more common than Beijing's output volume and location would imply, and this Beijing bias is increasing over time. The second type o f spatial political bi… Show more

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Cited by 57 publications
(77 citation statements)
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“…Overall, the majority of variables are assessed with a 5-point Likert scale, on which a higher score denoted a higher degree of the item concerned, except the two dummy variables regional culture (North, South) and firm ownership (SOE, Non-SOE). The rank of each city or province in China's science and technology system (variable x 3 ) is established in accordance with Andersson et al (2014).…”
Section: Methodsmentioning
confidence: 99%
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“…Overall, the majority of variables are assessed with a 5-point Likert scale, on which a higher score denoted a higher degree of the item concerned, except the two dummy variables regional culture (North, South) and firm ownership (SOE, Non-SOE). The rank of each city or province in China's science and technology system (variable x 3 ) is established in accordance with Andersson et al (2014).…”
Section: Methodsmentioning
confidence: 99%
“…On the one hand, the Chinese science and technology (S&T hereafter) system has a strong hierarchical order, with Beijing dominating on the national scale, and provincial capitals dominating on provincial scales. Although the other smaller cities are improving their innovation abilities considerably, the firms still show the obvious preference for Beijing, without affecting the overall hierarchical structure (Andersson et al 2014). On the other hand, the legacy of China's Soviet-style innovation system, which was characterized by a high centralization of capacities in several main cities for providing well-trained engineers and new ideas to the local manufacturers (Liu and White 2001), plus the increasing innovation activities of privately owned enterprises, can lead to a strengthening of local collaboration (Hong 2008).…”
Section: Network Configurationmentioning
confidence: 99%
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