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

页码：827 / 848

页数：22

共 89 条

[11]

Cai F., 2014, DEMOGRAPHIC DIVIDEND

[12]

Carlino G., 2015, Handbook of Regional and Urban Economics, Handbook of Regional and Urban Economics, P349, DOI [10.1016/B978-0-444-59517-1.00006-4, DOI 10.1016/B978-0-444-59517-1.00006-4]

[13] The dynamics of national innovation systems: A panel cointegration analysis of the coevolution between innovative capability and absorptive capacity [J].

Castellacci, Fulvio ;

Miguel Natera, Jose .

RESEARCH POLICY, 2013, 42 (03) :579-594

[14] Measuring aggregate human capital in Portugal: 1960-2001 [J].

Castro Teixeira, Aurora Amelia .

PORTUGUESE JOURNAL OF SOCIAL SCIENCE, 2005, 4 (02) :101-120

[15] Regional eco-innovation in China: An analysis of eco-innovation levels and influencing factors [J].

Chen, Jun ;

Cheng, Jinhua ;

Dai, Sheng .

JOURNAL OF CLEANER PRODUCTION, 2017, 153 (01) :1-14

[16] Intellectual property rights and innovation in developing countries [J].

Chen, Y ;

Puttitanun, T .

JOURNAL OF DEVELOPMENT ECONOMICS, 2005, 78 (02) :474-493

[17]

Chen Y., 2007, Journal of Data Science, V5, P577

[18] Spatially Varying Relationships of New Firm Formation in the United States [J].

Cheng, Shaoming ;

Li, Huaqun .

REGIONAL STUDIES, 2011, 45 (06) :773-789

[19] Spillover effects of FDI on innovation in China: Evidence from the provincial data [J].

Cheung, KY ;

Lin, P .

CHINA ECONOMIC REVIEW, 2004, 15 (01) :25-44

[20] The role of education in regional innovation activities: spatial evidence from China [J].

Chi, Wei ;

Qian, Xiaoye .

JOURNAL OF THE ASIA PACIFIC ECONOMY, 2010, 15 (04) :396-419

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