中国城市群知识多中心发展评价

doi:10.18402/resci.2021.05.03

摘要/Abstract

摘要：

在新型城镇化和高质量发展背景下,城市群的空间结构及其多中心发展成为城市研究的热点议题。本文基于Web of Science（WOS）数据库中国学者2012—2016年的论文发表数据,采用Taylor的多中心性测度,从知识规模和知识网络层面,对中国19个城市群知识形态多中心与功能多中心进行量化,进而分析不同城市群知识多中心的发展状况、原因及对策,主要结论如下：①中国城市群的知识规模分布和知识合作格局均具有较强的空间异质性,东部城市群知识多中心发育优于中西部城市群,城市群形态与功能多中心发展整体匹配度高。②以中国19个城市群知识形态和功能多中心度的平均值为界,可将城市群分为4类：Ⅰ知识形态与功能均相对多中心发展的城市群,以长三角城市群最为典型;Ⅱ知识形态相对单中心但功能相对多中心发展的城市群,如珠三角城市群;Ⅲ知识形态与功能均相对单中心发展的城市群,以宁夏沿黄城市群最为典型;Ⅳ知识形态相对多中心但功能相对单中心发展的城市群,如成渝城市群。③中国城市群知识多中心发展是市场驱动和政策引导共同作用的结果,对于知识形态相对单中心发展的城市群,需重点加强知识创新资源的合理规划与布局;对于知识功能相对单中心发展的城市群,需积极打破知识流通壁垒,形成多元合作共享机制。

关键词: 城市群, 城市网络, 知识合作, 形态多中心, 功能多中心, 多中心度

Abstract:

Against the backdrop of new urbanization and high-quality development, the spatial structure of urban agglomerations and their polycentric development have become a hot issue in urban studies. Based on the publication data of Chinese scholars from 2012 to 2016 derived from the Web of Science (WOS), this research assessed the knowledge morphological polycentricity and functional polycentricity of 19 urban agglomerations in China by employing Taylor’s polycentricity measurement through the lens of scientific knowledge output and knowledge collaboration network. After quantifying and analyzing the development status, this research explored the determinants of polycentric urban development in China and made some policy recommendations for future development. The results show that: (1) There exists an obvious spatial heterogeneity in both knowledge resources distribution and the knowledge collaboration patterns among different urban agglomerations. The polycentric development of urban agglomerations in the east is better than their central and western counterparts. The overall development of morphological and functional polycentricities is consistent. (2) Urban agglomerations can be divided into four categories: Ⅰ. urban agglomerations with both morphologically and functionally polycentric development, which is typical for the Yangtze River Delta urban agglomeration; Ⅱ. urban agglomerations with morphologically monocentric but functionally polycentric development consisting of the Pearl River Delta urban agglomeration; III. urban agglomerations with both morphologically and functionally monocentric development, which is typical for the northern Ningxia urban agglomeration along the Yellow River; IV. urban agglomerations with morphologically polycentric but functionally monocentric development consisting of the Chengdu-Chongqing urban agglomeration. (3) The knowledge polycentric development of China’s urban agglomerations is driven by both market and policies. For urban agglomerations with the development of knowledge morphological monocentricity, emphasis should be put on the scientific planning and layout of knowledge innovation resources; for those with relatively functionally monocentric development, local governments need to break the barriers of knowledge flows and form a diversified collaboration and sharing mechanism.

Key words: urban agglomeration, urban network, knowledge collaboration, morphological polycentricity, functional polycentricity, degree of polycentricity

戴靓, 曹湛, 朱青, 殷亚若. 中国城市群知识多中心发展评价[J]. 资源科学, 2021, 43(5): 886-897.

DAI Liang, CAO Zhan, ZHU Qing, YIN Yaruo. Analyzing polycentric urban development in China: Evidence from intercity knowledge collaboration[J]. Resources Science, 2021, 43(5): 886-897.

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城市群	依据	涉及省级行政区
京津冀	京津冀协同发展规划纲要（2015）	北京市、天津市、河北省
长三角	长江三角洲城市群发展规划（2016）	江苏省、浙江省、安徽省、上海市
珠三角	珠江三角洲地区改革发展规划纲要（2008—2020）	广东省
山东半岛	山东半岛城市群发展规划（2017）	山东省
海峡西岸	海峡西岸城市群协调发展规划（2009）	福建省、浙江省、广东省
哈长	哈长城市群发展规划（2016）	黑龙江省、吉林省
辽中南	辽中南城市群发展规划（2017—2030）	辽宁省
中原	中原城市群发展规划（2016）	河南省
长江中游	长江中游城市群发展规划（2015）	湖北省、湖南省、江西省
成渝	成渝城市群发展规划（2016）	四川省、重庆市
关中	关中平原城市群发展规划（2018）	陕西省、甘肃省
北部湾	北部湾城市群发展规划（2017）	广西自治区、海南省
晋中	晋中市城市总体规划（2014—2030）	山西省
呼包鄂榆	呼包鄂榆城市群发展规划（2018）	内蒙古自治区、陕西省
黔中	黔中城市群发展规划（2017）	贵州省
滇中	滇中城市群规划（2016）	云南省
兰西	兰州-西宁城市群发展规划（2018）	甘肃省、青海省
宁夏沿黄	宁夏沿黄城市带发展规划（2009）	宁夏自治区
天山北坡	天山北坡城市群发展规划（2017—2030）	新疆自治区

城市群	P_M	P_F	首位城市（发表量/篇）	首位度	区域合作量/篇	城均合作量/篇
长三角	0.302	0.501	上海（144461）	1.495	104024	4001
中原	0.208	0.470	郑州（17614）	2.658	4826	536
长江中游	0.174	0.402	武汉（71437）	1.812	17926	578
哈长	0.225	0.374	哈尔滨（35692）	1.057	7810	781
海峡西岸	0.303	0.321	厦门（15902）	1.269	3320	332
珠三角	0.076	0.313	广州（73353）	3.516	13614	1513
山东半岛	0.231	0.305	济南（32298）	1.313	12698	977
辽中南	0.231	0.300	沈阳（26393）	1.041	5514	460
京津冀	0.044	0.249	北京（290760）	6.515	31122	3112
成渝	0.162	0.230	成都（50875）	1.590	14278	892
黔中	0.045	0.219	贵阳（6400）	6.667	222	37
北部湾	0.094	0.218	南宁（9566）	2.426	408	58
天山北坡	0.050	0.209	乌鲁木齐（7606）	5.278	464	58
晋中	0.029	0.209	太原（12303）	13.130	480	60
呼包鄂榆	0.087	0.207	呼和浩特（3891）	2.779	240	34
关中	0.008	0.204	西安（59916）	79.888	2222	222
滇中	0.010	0.203	昆明（15469）	42.150	554	139
兰西	0.027	0.200	兰州（22467）	7.580	512	102
宁夏沿黄	0.006	0.200	银川（2264）	70.750	18	5