Chinese Geographical Science ›› 2021, Vol. 31 ›› Issue (3): 413-428.doi: 10.1007/s11769-021-1198-4

• Articles • Previous Articles    

Impact of the Built Environment on the Spatial Heterogeneity of Regional Innovation Productivity: Evidence from the Pearl River Delta, China

WU Kangmin1,2,3, WANG Yang1,2,3, ZHANG Hong’ou1,2,3, LIU Yi1,2,4, YE Yuyao1,2,3   

  1. 1. Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China;
    2. Institute of Strategy Research for Guangdong, Hong Kong and Macao Greater Bay Area, Guangzhou 510070, China;
    3. Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China;
    4. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2020-07-10 Published:2021-02-06
  • Contact: WANG Yang
  • Supported by:
    Under the auspices of National Natural Science Foundation of China (No. 41871150), GDAS’ Project of Science and Technology Development (No. 2021GDASYL-20210103004), National Key Research and Development Program (No. 2019YFB2103101), Special Construction Project of Guangdong-Hong Kong-Macao Greater Bay Area Strategic Research Institute (No. 2020GDASYL-20200201001), Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (No. GML2019ZD0301)

Abstract: With the global economy increasingly dependent on innovation, urban discourse has shifted to consider what kinds of spatial designs may best nurture innovation. We examined the relationship between the built environment and the spatial heterogeneity of regional innovation productivity (RIP) using the example of China’s Pearl River Delta (PRD). Based on a spatial database of 522 546 patent data from 2017, this study proposed an innovation-based built environment framework with the following five aspects: healthy environment, daily interaction, mixed land use, commuting convenience, and technology atmosphere. Combining negative binomial regression and Geodetector to examine the impact of the built environment on RIP, the results show that the spatial distribution of innovation productivity in the PRD region is extremely uneven. The negative binomial regression results show that the built environment has a significant impact on the spatial differentiation of RIP, and, specifically, that healthy environment, mixed land use, commuting convenience, and technology atmosphere all demonstrate significant positive impacts. Meanwhile, the Geodetector results show that the built environment factor impacts the spatial heterogeneity of RIP to varying degrees, with technology atmosphere demonstrating the greatest impact intensity. We conclude that as regional development discourse shifts focus to the knowledge and innovation economy, the innovation-oriented design and updating of built environments will become extremely important to policymakers.

Key words: built environment, innovation productivity, patent, spatial heterogeneity, Pearl River Delta