Impact of the Built Environment on the Spatial Heterogeneity of Regional Innovation Productivity:Evidence from the Pearl River Delta,China
地区性的革新生产率的空间异质上的开发环境的影响: 从珀尔河三角洲的证据,中国作者机构:Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information SystemGuangdong Open Laboratory of Geospatial Information Technology and ApplicationGuangzhou Institute of GeographyGuangdong Academy of SciencesGuangzhou 510070China Institute of Strategy Research for GuangdongHong Kong and Macao Greater Bay AreaGuangzhou 510070China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)Guangzhou 511458China Key Laboratory of Regional Sustainable Development ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China
出 版 物:《Chinese Geographical Science》 (中国地理科学(英文版))
年 卷 期:2021年第31卷第3期
页 面:413-428页
核心收录:
学科分类:12[管理学] 1204[管理学-公共管理] 02[经济学] 0201[经济学-理论经济学] 020105[经济学-世界经济] 08[工学] 081303[工学-城市规划与设计(含:风景园林规划与设计)] 0813[工学-建筑学] 0833[工学-城乡规划学] 083302[工学-城乡规划与设计]
基 金:Under the auspices of National Natural Science Foundation of China(No.41871150) GDAS7 Project of Science and Technology Development(No.2021GDASYL-20210103004) National Key Research and Development Program(No.2019YFB2103-101) Special Construction Project of Guangdong-Hong Kong-Macao Greater Bay Area Strategic Research Institute(No.2020GDA-SYL-20200201001) Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)(No.GML2019ZD0301)
主 题:built environment innovation productivity patent spatial heterogeneity Pearl River Delta
摘 要:With the global economy increasingly dependent on innovation,urban discourse has shifted to consider what kinds of spatial designs may best nurture *** 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 522546 patent data from 2017,this study proposed an innovation-based built environment framework with the following five aspects:healthy en-vironment,daily interaction,mixed land use,commuting convenience,and technology *** 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 *** 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 ***,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 *** 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.