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

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-includ...

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Bibliographic Details
Published inApplied spatial analysis and policy Vol. 14; no. 4; pp. 827 - 848
Main Authors Lao, Xin, Gu, Hengyu, Yu, Hanchen, Xiao, Fan
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.12.2021
Springer Nature B.V
Subjects
Economic development
Environmental quality
Human capital
Human Geography
Landscape/Regional and Urban Planning
R&D
Regional/Spatial Science
Research & development
Social Sciences
China
Knowledge production function
Multi-scale geographically weighted regression
Innovation
Human capital
Spatially-varying effects
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1874-463X
1874-4621
DOI:10.1007/s12061-021-09380-9