广东省城市创新联系的空间格局演变及优化策略

doi:10.18306/dlkxjz.2016.08.004

Abstract

Abstract:

Research on innovation linkages of cities has an important significance for revealing characteristics of innovative spatial structure and forming strategies for regional innovation development. This article uses a spatial interaction model to measure the spatial structure of innovation linkages among 21 cities in Guangdong Province in 2003 and 2012, with the aim to reveal the change of the spatial structure. Strategies for the development and optimization of spatial structure of innovation linkages in Guangdong Province are discussed based on data analysis and principles of urban spatial organization. The article concludes that the spatial structure of innovation linkages in Guangdong province shows a new "core-periphery" structure and the Pearl River Delta cities are at the core of this structure, which shows a weakening and differentiation trend compared to the past. The overall degree of network linkage is enhanced, and there is a tendency of anti-polarization in periphery regions of the Pearl River Delta. From 2003 to 2012, the number of innovation center cities dropped from 6 to 5. Both radiation range and direction of innovation center cities experienced some changes, and innovative radiation intensity showed a "strong-strong combination" pattern. In the future, the existing spatial pattern of innovation linkages should be optimized and regional polycentric network innovative pattern should be built on the regional scale.

Key words: innovation linkage, innovation center city, radiation range, radiation intensity, spatial structure, Guangdong Province

Huixuan ZHANG, Qing LIU, Guicai LI. Spatial structure change and optimization strategies of innovation linkage among the cities in Guangdong Province[J].PROGRESS IN GEOGRAPHY, 2016, 35(8): 952-962.

Figures/Tables 10

Fig.1

Fig.2

Tab.1

Classification of innovation center cities in Guangdong Province, 2003 and 2012"

城市等级划分	划分依据	2003年	2012年
一级创新中心城市	$R i ≥ R ˉ + 2 S$ 且最大引力线≥3	广州、佛山	广州、深圳
二级创新中心城市	$R i ≥ R ˉ + S$ 且最大引力线≥2	深圳	佛山、东莞
三级创新中心城市	$R i ≥ R ˉ$	东莞、中山	珠海、中山

Tab.1

Tab.2

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References 28

[1]	毕亮亮, 施祖麟. 2008. 长三角城市科技创新能力评价及“区域科技创新圈”的构建: 基于因子分析与聚类分析模型的初探[J]. 经济地理, 28(6): 946-951, 954.
	[Bi L L, Shi Z L.2008. Evaluation of city innovation capability and the construction of "regional innovation circle" in Yangtze River Delta: Based on the factor and cluster analysis method[J]. Economic Geography, 28(6): 946-951, 954.]
[2]	傅兆君, 陈振权. 2003. 知识流动与产业空间集聚现象分析[J]. 地域研究与开发, 22(3): 5-8, 13. doi: 10.3969/j.issn.1003-2363.2003.03.002
	[Fu Z J, Chen Z Q.2003. A study on knowledge flows and enterprise space clusters[J]. Areal Research and Development, 22(3): 5-8, 13.] doi: 10.3969/j.issn.1003-2363.2003.03.002
[3]	胡海鹏, 吕拉昌, 黄茹, 等. 2015. 基于创新流视角的广东省城市创新体系与职能[J]. 城市发展研究, 22(6): 71-76.
	[Hu H P, Lv L C, Huang R, et al.2015. Urban innovation system and function in Guangdong Province in the perspective of flow of urban innovation[J]. Urban Development Studies, 22(6): 71-76.]
[4]	姜磊, 季民河. 2011. 城市化、区域创新集群与空间知识溢出: 基于空间计量经济学模型的实证[J]. 软科学, 25(12): 86-90. doi: 10.3969/j.issn.1001-8409.2011.12.018
	[Jiang L, Ji M H.2011. Urbanization, regional innovation cluster, and spatial knowledge spillover: Empirical study based on spatial econometric model[J]. Soft Science, 25(12): 86-90.] doi: 10.3969/j.issn.1001-8409.2011.12.018
[5]	蒋天颖, 华明浩. 2014. 长三角区域创新空间联系研究[J]. 中国科技论坛, (10): 126-131. doi: 10.3969/j.issn.1002-6711.2014.10.021
	[Jiang T Y, Hua M H.2014. Research on regional innovation spatial linkage of Yangtze River Delta[J]. Forum on Science and Technology in China, (10): 126-131.] doi: 10.3969/j.issn.1002-6711.2014.10.021
[6]	蒋天颖, 谢敏, 刘刚. 2014. 基于引力模型的区域创新产出空间联系研究: 以浙江省为例[J]. 地理科学, 34(11): 1320-1326.
	[Jiang T Y, Xie M, Liu G.2014. Spatial linkage of regional innovation output based on gravity model: A case study in Zhejiang Province[J]. Scientia Geographica Sinica, 34(11): 1320-1326.]
[7]	李国平, 孙铁山. 2013. 网络化大都市: 城市空间发展新模式[J]. 城市发展研究, 20(5): 83-89. doi: 10.3969/j.issn.1006-3862.2013.05.013
	[Li G P, Sun T S.2013. Networked metropolis: A new urban spatial development model[J]. Urban Development Studies, 20(5): 83-89.] doi: 10.3969/j.issn.1006-3862.2013.05.013
[8]	李琳, 韩宝龙. 2011. 地理与认知邻近对高技术产业集群创新影响: 以我国软件产业集群为典型案例[J]. 地理研究, 30(9): 1592-1605. doi: 10.11821/yj2011090005
	[Li L, Han B L.2011. An empirical research on how geographic proximity and cognitive proximity work on the innovation performance of high-tech industrial cluster[J]. Geographical Research, 30(9): 1592-1605.] doi: 10.11821/yj2011090005
[9]	李琳, 杨田. 2011. 地理邻近和组织邻近对产业集群创新影响效应: 基于对我国汽车产业集群的实证研究[J]. 中国软科学, (9): 133-143. doi: 10.3969/j.issn.1002-9753.2011.09.014
	[Li L, Yang T.2011. Effect of geographical proximity and organisational proximity on innovations of industrial cluster: An empirical research based on automobile industry clusters in China[J]. China Soft Science, (9): 133-143.] doi: 10.3969/j.issn.1002-9753.2011.09.014
[10]	刘贵文, 张怿蓝. 2009. 基于主成分分析的城市创新能力评价[J]. 科技管理研究,(10): 115-117, 123.
	[Liu G W, Zhang Y L.2009. Jiyu zhuchengfen fenxi de chengshi chuangxin nengli pingjia[J]. Science and Technology Management Research,(10): 115-117, 123.]
[11]	鲁金萍, 杨振武, 孙久文. 2015. 京津冀城市群经济联系测度研究[J]. 城市发展研究, 22(1): 5-10.
	[Lu J P, Yang Z W, Sun J W.2015. Research on economic contact measurement of Beijing-Tianjin-Hebei Urban Agglomeration[J]. Urban Development Studies, 22(1): 5-10.]
[12]	吕拉昌, 李勇. 2010. 基于城市创新职能的中国创新城市空间体系[J]. 地理学报, 65(2): 177-190. doi: 10.11821/xb201002005
	[Lv L C, Li Y.2010. A research on Chinese renovation urban system based on urban renovation function[J]. Acta Geographica Sinica, 65(2): 177-190.] doi: 10.11821/xb201002005
[13]	梅志雄, 徐颂军, 欧阳军. 2012. 珠三角城市群城市空间吸引范围界定及其变化[J]. 经济地理, 32(12): 47-52, 60.
	[Mei Z X, Xu S J, Ouyang J.2012. The delimitation and change of cities space attractive scopes in the Pearl River Delta[J]. Economic Geography, 32(12): 47-52, 60.]
[14]	年福华, 姚士谋, 陈振光. 2002. 试论城市群区域内的网络化组织[J]. 地理科学, 22(5): 568-573. doi: 10.3969/j.issn.1000-0690.2002.05.010
	[Nian F H, Yao S M, Chen Z G.2002. The preliminary study on the network organization in urban agglomeration[J]. Scientia Geographica Sinica, 22(5): 568-573.] doi: 10.3969/j.issn.1000-0690.2002.05.010
[15]	牛欣, 陈向东. 2013. 城市间创新联系及创新网络空间结构研究[J]. 管理学报, 10(4): 575-582. doi: 10.3969/j.issn.1672-884x.2013.04.014
	[Niu X, Chen X D.2013. Innovation connection between cities and spatial structure of innovation network[J]. Chinese Journal of Management, 10(4): 575-582.] doi: 10.3969/j.issn.1672-884x.2013.04.014
[16]	钱春蕾, 叶菁, 陆潮. 2015. 基于改进城市引力模型的武汉城市圈引力格局划分研究[J]. 地理科学进展, 34(2): 237-245. doi: 10.11820/dlkxjz.2015.02.012
	[Qian C L, Ye J, Lu C.2015. Gravity zoning in Wuhan Metropolitan Area based on an improved urban gravity model[J]. Progress in Geography, 34(2): 237-245.] doi: 10.11820/dlkxjz.2015.02.012
[17]	谭俊涛, 张平宇, 李静. 2014. 2001-2010年黑龙江省城市创新能力格局与发展过程[J]. 地理科学进展, 33(4): 508-516. doi: 10.11820/dlkxjz.2014.04.008
	[Tan J T, Zhang P Y, Li J.2014. Structure and development of urban innovation capability in Heilongjiang Province during 2001-2010[J]. Progress in Geography, 33(4): 508-516.] doi: 10.11820/dlkxjz.2014.04.008
[18]	唐娟, 马晓冬, 朱传耿, 等. 2009. 淮海经济区的城市经济联系格局分析[J]. 城市发展研究, 16(5): 18-23, 29. doi: 10.3969/j.issn.1006-3862.2009.05.004
	[Tang J, Ma X D, Zhu C G, et al.2009. Study on urban economic region of Huaihai Economic Region based on economic contacts[J]. Urban Studies, 16(5): 18-23, 29.] doi: 10.3969/j.issn.1006-3862.2009.05.004
[19]	夏丽娟, 谢富纪. 2014. 多维邻近视角下的合作创新研究评述与未来展望[J]. 外国经济与管理, 36(11): 45-54, 81.
	[Xia L J, Xie F J.2014. A literature review of collaborative innovation from a perspective of multi-dimensional proximity[J]. Foreign Economics & Management, 36(11): 45-54, 81.]
[20]	闫卫阳, 王发曾, 秦耀辰. 2009. 城市空间相互作用理论模型的演进与机理[J]. 地理科学进展, 28(4): 511-518. doi: 10.11820/dlkxjz.2009.04.005
	[Yan W Y, Wang F Z, Qin Y C.2009. Analysis of the principle and evolvement of the theoretic models of urban spatial interaction[J]. Progress in Geography, 28(4): 511-518.] doi: 10.11820/dlkxjz.2009.04.005
[21]	袁立科, 张宗益. 2007. 创新系统的区域可达性研究[J]. 科研管理, 28(1): 1-6, 32. doi: 10.3969/j.issn.1000-2995.2007.01.001
	[Yuan L K, Zhang Z Y.2007. A study on regional accessibility in innovation systems[J]. Science Research Management, 28(1): 1-6, 32.] doi: 10.3969/j.issn.1000-2995.2007.01.001
[22]	张妍, 杨志峰, 李巍. 2005. 城市复合生态系统中互动关系的测度与评价[J]. 生态学报, 25(7): 1734-1740. doi: 10.3321/j.issn:1000-0933.2005.07.029
	[Zhang Y, Yang Z F, Li W.2005. Measurement and evaluation of interactive relationships in urban complex ecosystem[J]. Acta Ecologica Sinica, 25(7): 1734-1740.] doi: 10.3321/j.issn:1000-0933.2005.07.029
[23]	张永安, 李晨光. 2010. 创新网络结构对创新资源利用率的影响研究[J]. 科学学与科学技术管理, 31(1): 81-89.
	[Zhang Y A, Li C G.2010. Research on the innovation network structural impact on innovation resource utilization[J]. Science of Science and Management of S.&T., 31(1): 81-89.]
[24]	朱顺娟, 郑伯红. 2010. 城市群网络化联系研究: 以长株潭城市群为例[J]. 人文地理, 25(5): 65-68, 31.
	[Zhu S J, Zheng B H.2010. A research on the linkage among a urban agglomeration network: A case study of Changsha-Zhuzhou-Xiangtan Urban Agglomeration[J]. Human Geography, 25(5): 65-68, 31.]
[25]	Boschma R.2005. Proximity and innovation: A critical assessment[J]. Regional Studies, 39(1): 61-74.
[26]	Greunz L.2003. Geographically and technologically mediated knowledge spillovers between European regions[J]. The Annals of Regional Science, 37(4): 657-680. doi: 10.1007/s00168-003-0131-3
[27]	Ouwersloot H, Rietveld P.2000. The geography of R&D: Tobit analysis and a Bayesian approach to mapping R&D activities in the Netherlands[J]. Environment and Planning A, 32(9): 1673-1688.
[28]	Pred A.1977. City system in advanced societies[M]. London, UK: Hutchinson.

Spatial structure change and optimization strategies of innovation linkage among the cities in Guangdong Province

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	广州			深圳		佛山			东莞			中山			珠海
城市	2003年		2012年		2003年	2012年		2003年		2012年	2003年	2012年	2003年	2012年	2003年	2012年
广州	—	—		4	5	1	1		2	2		4	4		3	3
深圳	3	3		—	—	4	5		1	1		2	2		2	2
佛山	1	1		6	6	—	—		3	3		3	3		4	4
东莞	2	2		1	1	5	4		—	—		6	6		6	5
中山	4	4		3	3	3	3		5	5		—	—		1	1
珠海	7	7		2	2	7	7		6	6		1	1		—	—
惠州	9	9		5	4	9	9		4	4		7	7		7	7
江门	5	5		7	7	2	2		7	7		5	5		5	6
肇庆	8	8		10	10	6	6		9	9		8	8		8	8
清远	6	6		11	11	8	8		8	8		9	9		9	9
…	…	…		…	…	…	…		…	…		…	…		…	…

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