中国南北差距现象能得到改善吗——基于三大重点城市群创新网络韧性监测和比较

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1146 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Urban agglomeration has become the core carrier leading China's high-quality development.Effective monitoring of the construction of urban agglomeration innovation network can determine the trend of regional coordinated development,which provides solutions to address the North-South gap.Based on the resilience interpretation of urban agglomeration innovation network,five-dimensional resilience features including diversity,compatibility,fluidity,cushioning and evolution are proposed.The resilience monitoring system,prediction and early warning model of innovation network are constructed.Through empirical analysis of the resilience of innovation network in the three major urban agglomerations from 2014 to 2018,the results show the followings.①From the current situation of resilience monitoring,the average ranking of resilience is Yangtze River Delta,Guangdong-Hong Kong-Macao Greater Bay Area,Beijing-Tianjin-Hebei.Guangdong-Hong Kong-Macao Greater Bay Area shows an upward trend,while Beijing-Tianjin-Hebei and Yangtze River Delta show a downward trend,and their development is uneven.②From the perspective of resilience prediction and early warning,the resilience gap between Beijing-Tianjin-Hebei and the two major urban agglomerations in the south will be significantly reduced from 2021 to 2023,and the North-South gap is expected to improve.But the resilience alerts of the three major urban agglomerations are all at high levels,which also deserves close attention.This paper provides a complete solution for dynamic monitoring and early warning of the resilience of urban agglomeration innovation network,which can also be applied to other urban agglomerations.

Key words： Urban agglomeration innovation network Resilience monitoring system Early warning model

Received: 28 September 2021

PACS:	F205
	F276.44

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Liang Lin
	Duan Shiyu
	Li Yan

Cite this article:

Liang Lin,Duan Shiyu,Li Yan. Can China's North-South Gap be Improved ——Monitoring and Comparison of the Resilience of Innovation Network Based on Three Major Urban Agglomerations[J]. , 2022, 3(7): 106-117.

URL:

http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2022/V3/I7/106

[1]陈睿山,赵志强,徐迪,等.城市和城市群可持续发展指数研究进展[J].地理科学进展,2021,40(1):61-72.
[2]邹琳,曾刚,司月芳,等.创新网络研究进展述评与展望[J].人文地理,2018,33(4):7-12,67.
[3]李琳,彭璨.长江中游城市群协同创新空间关联网络结构时空演变研究[J].人文地理,2020,35(5):94-102.
[4]马双,曾刚.多尺度视角下中国城市创新网络格局及邻近性机理分析[J].人文地理,2020,35(1):95-103.
[5]LIU C L,NIU C C,HAN J.Spatial dynamics of intercity technology transfer networks in China's three urban agglomerations:a patent transaction perspective[J].Sustainability,2019,11(6):1647.
[6]许培源,吴贵华.粤港澳大湾区知识创新网络的空间演化:兼论深圳科技创新中心地位[J].中国软科学,2019(5):68-79.
[7]马海涛.知识流动空间的城市关系建构与创新网络模拟[J].地理学报,2020,75(4):708-721.
[8]吕丹,王等.“成渝城市群”创新网络结构特征演化及其协同创新发展[J].中国软科学,2020(11):154-161.
[9]刘心怡.粤港澳大湾区城市创新网络结构与分工研究[J].地理科学,2020,40(6):874-881.
[10]盛彦文,苟倩,宋金平.城市群创新联系网络结构与创新效率研究:以京津冀、长三角、珠三角城市群为例[J].地理科学,2020,40(11):1831-1839.
[11]BROWN R,KALAFSKY R V,MAWSON S,et al.Shocks,uncertainty and regional resilience:the case of Brexit and Scottish SMEs[J].Local economy,2020,35(7):655-675.
[12]WILDAVSKY A B.Searching for safety(Vol.10)[M].New Jersey:Transaction Publishers,1988.
[13]魏冶,修春亮.城市网络韧性的概念与分析框架探析[J].地理科学进展,2020,39(3):488-502.
[14]MCINROY N,LONGLANDS S.Productive local economies:creating resilient place[M].Manchester,UK:Centre for Local Economic Strategies,2010.
[15]HUDEC O,REGGIANI A,ŠISEROVÁ M.Resilience capacity and vulnerability:a joint analysis with reference to Slovak urban districts[J].Cities,2018,73:24-35.
[16]DU Z W,ZHANG H G,YE Y Y,et al.Urban shrinkage and growth:measurement and determinants of economic resilience in the Pearl River Delta[J].Journal of geographical sciences,2019,29(8):1331-1345.
[17]HERATH HMM,WIJESEKERA NTS.Transformation of flood risk management with evolutionary resilience[J].E3S web of conferences,2020,158:06005.
[18]李万,常静,王敏杰,等.创新3.0与创新生态系统[J].科学学研究,2014,32(12):1761-1770.
[19]刘凤,余靖,明翠琴.灾害情境下韧性与创业意愿的实证研究:基于汶川地震十周年调查[J].科学学研究,2020,38(8):1428-1435,1480.
[20]梁林,赵玉帛,刘兵.国家级新区创新生态系统韧性监测与预警研究[J].中国软科学,2020(7):92-111.
[21]杨勇,王志杰.区域科技创业生态系统运行机制及政策仿真研究[J].科学学与科学技术管理,2014,35(12):99-108.
[22]BOSCHMA R.Proximity and innovation:a critical assessment[J].Regional studies,2005,39(1):61-74.
[23]吕晓静,刘霁晴,张恩泽.京津冀创新生态系统活力评价及障碍因素识别[J].中国科技论坛,2021(9):93-103.
[24]ZELLER C.North Atlantic innovative relations of Swiss pharmaceuticals and the proximities with regional biotech arenas[J].Economic geography,2004,80(1):83-111.
[25]朱金鹤,孙红雪.中国三大城市群城市韧性时空演进与影响因素研究[J].软科学,2020,34(2):72-79.