Exploring the Spatially-Varying Effects of Human Capital on Urban Innovation in China

被引：49
作者：
Lao, Xin [1 ]
Gu, Hengyu [2 ]
Yu, Hanchen [3 ]
Xiao, Fan [4 ]
机构：
[1] China Univ Geosci, Sch Econ & Management, Beijing, Peoples R China
[2] Peking Univ, Sch Govt, Beijing, Peoples R China
[3] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA
[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
来源：
APPLIED SPATIAL ANALYSIS AND POLICY | 2021年 / 14卷 / 04期
关键词：
Human capital; Innovation; Spatially-varying effects; Multi-scale geographically weighted regression; Knowledge production function; FOREIGN DIRECT-INVESTMENT; RESEARCH-AND-DEVELOPMENT; GEOGRAPHICALLY WEIGHTED REGRESSION; REGIONAL INNOVATION; KNOWLEDGE SPILLOVERS; INCREASING RETURNS; CAPACITY; DYNAMICS; GROWTH; AGGLOMERATION;
D O I：
10.1007/s12061-021-09380-9
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This study employs city-level data from China to examine the spatially-varying effects of human capital on urban innovation, applying the multi-scale geographically weighted regression model to the knowledge production function. The results demonstrate that the effects of various determinants-including human capital, industrial structures, research and development investment, environmental quality, economic development levels-on innovation prompt different spatial patterns and ranges of influence, among which human capital significantly enhances the level of innovation with the strongest scale effects. Hence different policies should be formulated in cities of diverse conditions that are sensitive to their contexts.
引用
收藏
页码：827 / 848
页数：22
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