Polarization or Diffusion? Spatio-temporal Evolution of Urban Technological Innovation Capacity in China's Five Urban Agglomerations

被引:0
|
作者
Cao, Jinxian [1 ]
Li, Shengning [2 ,3 ,4 ]
Yang, Qingyuan [4 ,5 ,6 ,7 ]
机构
[1] Fudan Univ, Sch Int Relat & Publ Affairs, Shanghai 200433, Peoples R China
[2] Peking Univ, Sch New Media, Beijing 100091, Peoples R China
[3] Southwest Univ, Hanhong Coll, Chongqing 400715, Peoples R China
[4] Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China
[5] Minist Nat Resources, Key Lab Monitoring Evaluat & Early Warning Terr S, Chongqing 401147, Peoples R China
[6] China Urban Agglomerat Res Base Alliance, Chongqing 400715, Peoples R China
[7] Chinese Geog Soc, West Asia Geog Res Ctr, Chongqing 400715, Peoples R China
关键词
urban agglomerations; urban innovation; spatial effects; polarization and diffusion; FOREIGN DIRECT-INVESTMENT; KNOWLEDGE SPILLOVERS; REGIONAL INNOVATION; SPATIAL SPILLOVERS; INDUSTRIALIZATION EVIDENCE; GEOGRAPHY; PROXIMITY; DYNAMICS; LEVEL; PERFORMANCE;
D O I
10.1007/s11769-022-1309-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Under the background of collaborative innovation, innovation spillovers at urban agglomeration (UA) level is an important issue but rarely discussed. Using balanced panel data of innovation activities in China's five UAs from 2003 to 2016, this paper shows spatio-temporal evolution process of their technological innovation capacity with discussing polarization-diffusion patterns, and simultaneously examines driving factors of that evolution processes. We report three main findings: 1) there is a high degree of concentration in technological innovation capacity distribution within all China's five UAs, linked by economic and innovation collaboration. 2) Innovation capacity increase of China's five UAs is driven by government's investment in science and technology (S&T) to a large extent, followed by influences of infrastructure facilities construction, human capital for S&T, as well as transformation of industrial structure, with great disparities emerged between UAs in our sample period. 3) While the intra-region innovation gaps are reducing in Yangtze River Delta Urban Agglomeration (YRD) with obvious innovation diffusion, urban agglomeration in middle reaches of the Yangtze River (MYR) is still dominated by innovation polarized growth. Differences in polarization-diffusion patterns between these two UAs may be explained by opposite returns of industrial structure and internet infrastructure. Our findings contribute to more effective policy making in promoting innovation development when reducing regional inequality through innovation diffusion.
引用
收藏
页码:946 / 962
页数:17
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