Spatial Evolution and Critical Factors of Urban Innovation: Evidence from Shanghai, China

被引:22
作者
Li, Lingyue [1 ]
Zhang, Xiaohu [2 ]
机构
[1] Tongji Univ, Coll Architecture & Urban Planning, Dept Urban Planning, Shanghai 200092, Peoples R China
[2] MIT, Senseable City Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA
基金
中国国家自然科学基金;
关键词
innovation; economic resilience; city; patent; spatial characteristics; influential factors; TECHNOLOGICAL COMPOSITION; PATH CREATION; KNOWLEDGE; GEOGRAPHY; CITY; ENTREPRENEURSHIP; AGGLOMERATION; DETERMINANTS; CAPABILITY; EMPLOYMENT;
D O I
10.3390/su12030938
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The critical role of urban innovation in sustaining urban economic resilience has been widely acknowledged by scholars. Yet there is far from a full spectrum of understanding about how innovation performs, despite China's innovation outputs having far outweighed most countries'. The perennial concern regarding the spatial patterns of innovation has been biased towards the macroscale, and long-standing efforts to explore the determinants of innovative vitality are focused on internal factors (e.g., research and development activities, and firm size). Considering these inadequacies, this research investigates how innovative activities are spatially distributed and how the pattern evolves in cities at the microscale, and examines influencing factors of the external environment. The patent data from 2000 to 2015 in Shanghai are geocoded and mapped into 1 km(2) hexagon grids to identify local clustering. Gini coefficient is computed to show the high concentration of innovation activities across space. The hot spot analysis based on the Getis-Ord (G(i)*) statistic shows that innovation exhibits a strong concentration propensity at the microscale and gradually moves toward a polycentric pattern. However, the extent of concentration decreases over the study period. Firms dictate innovation activities, and individuals and universities also play a role in downtown innovation growth. The regression using random effect model shows heterogeneous effects on different innovation actors. The overall urban innovation output, dominated by firms, is significantly influenced by public budget expenditures and green space areas. The science and technology grant has a positive impact on authorities but not university and research institutes. This research not only contributes to a methodological innovation for measuring and visualizing an innovation pattern but also enriches our understanding of spatial evolution and critical factors of innovation activities in urban China.
引用
收藏
页数:19
相关论文
共 79 条
[1]   Production of University Technological Knowledge in European Regions: Evidence from Patent Data [J].
Acosta, Manuel ;
Coronado, Daniel ;
Dolores Leon, M. ;
Angeles Martinez, M. .
REGIONAL STUDIES, 2009, 43 (09) :1167-1181
[2]  
ACS ZJ, 1989, KYKLOS, V42, P171
[3]   Patents and innovation counts as measures of regional production of new knowledge [J].
Acs, ZJ ;
Anselin, L ;
Varga, A .
RESEARCH POLICY, 2002, 31 (07) :1069-1085
[4]   The city and high-tech startups: The spatial organization of Schumpeterian entrepreneurship [J].
Adler, Patrick ;
Florida, Richard ;
King, Karen ;
Mellander, Charlotta .
CITIES, 2019, 87 :121-130
[5]  
[Anonymous], 2005, OECD EC DEP WORKING
[6]  
[Anonymous], 2010, Handbook of the Economics of Innovation, DOI DOI 10.1016/S0169-7218(10)01008-7
[7]   LOCAL INDICATORS OF SPATIAL ASSOCIATION - LISA [J].
ANSELIN, L .
GEOGRAPHICAL ANALYSIS, 1995, 27 (02) :93-115
[8]   Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data [J].
Bell, Andrew ;
Jones, Kelvyn .
POLITICAL SCIENCE RESEARCH AND METHODS, 2015, 3 (01) :133-153
[9]  
Bentivegna T., 2014, INNOVATION NETWORK F
[10]   Determinants of innovation [J].
Bhattacharya, M ;
Bloch, H .
SMALL BUSINESS ECONOMICS, 2004, 22 (02) :155-162