Selection and radiation ability evaluation of regional scientific and technological innovation centers: From the perspective of urban agglomeration

doi:10.3969/j.issn.1004-9479.2025.01.20230087

Abstract

Abstract:

The layout and construction of a batch of regional science and technology innovation centers is an important strategic arrangement for China's innovation-driven development strategy entering the second stage. The prerequisite for selecting cities as regional technological innovation center candidates is a topic of significant interest. Urban agglomerations are incubators of innovation, and the 19 urban agglomerations planned for development in China will become the engines of regional development, and also shoulder the main driving force of regional scientific and technological innovation. This paper puts forward the selection idea of "cultivating the core cities of urban agglomerations as regional science and technology innovation centers", selects the core cities of urban agglomerations by using the data of scientific and technological cooperation relations between cities in urban agglomerations from 2016 to 2020, and evaluates the radiation capacity of the core cities by entropy weight method. The research shows that the radiation capacity of core cities has obvious spatial heterogeneity, and the eastern region is obviously higher than the central and western regions. The core cities in the three major urban agglomerations play a good role in driving radiation, while the core cities in many urban agglomerations have not played a full role in driving radiation. It can be cultivated according to the construction mode of "single core", "double core" and "multi-center" regional science and technology innovation center. Making full use of the scientific and technological innovation foundation and connection of urban agglomeration contributes to realizing the radiation-driving effect of science and technology innovation center on regional innovation, and provides a new way of thinking for the construction of regional science and technology innovation center nationwide.

Key words: regional science and technology innovation center, urban agglomeration, hub, centricity, pattern

摘要：

布局和建设一批区域科技创新中心是国家创新驱动发展战略进入第二阶段的重要战略部署，如何遴选区域科技创新中心城市成为这一重要战略部署备受关注的前提条件。城市群是创新的孵化器，是区域高质量发展的引擎。以“将城市群的核心城市作为区域科技创新中心进行培育”为遴选思路，基于2016—2020年城市群内城市间科学合作与技术合作关系数据，遴选城市群核心城市，并运用熵权法评价核心城市的辐射能力。研究发现，核心城市的辐射能力存在显著的空间异质性，东部地区明显高于中西部地区。三大城市群内的核心城市辐射带动作用较好，较多城市群核心城市的辐射带动作用尚未充分发挥。按照“单核心”“双核心”和“多中心”3种区域科技创新中心的建设模式进行培育是可行的。充分利用城市群的科技创新基础和联系，有助于发挥城市群核心城市的集聚与扩散功能，实现核心城市对区域科技创新中心建设的引领带动作用，并为全国范围内区域科技创新中心布局和建设提供新的思路。

关键词: 区域科技创新中心, 城市群, 枢纽, 中心度, 模式

Xiaoli TAO, Haitao MA, Kaile JIANG, Jinkun YANG. Selection and radiation ability evaluation of regional scientific and technological innovation centers: From the perspective of urban agglomeration[J]. World Regional Studies, 2025, 34(1): 112-123.

陶晓丽, 马海涛, 江凯乐, 杨锦坤. 区域科技创新中心的遴选与辐射能力评价[J]. 世界地理研究, 2025, 34(1): 112-123.

Figures/Tables 3

Fig. 1 Scientific cooperation network pattern of 19 urban agglomerations in China （2016—2020）

Tab.1 Comparison of indicators of science and technology cooperation network in 19 urban agglomerations in China (2016—2020)

城市群	科学合作网络			技术合作网络
城市群	$d (G)$	$d ¯$	$w D (i)$	$d (G)$	$d ¯$	$w D (i)$
京津冀城市群	1.00	12.00	2 892.0	0.76	9.08	1 747.1
长三角城市群	0.97	24.15	3 864.0	0.70	17.54	1 544.0
粤港澳大湾区城市群	1.00	8.00	3 314.3	0.94	7.56	1 835.1
成渝城市群	1.00	15.00	1 188.5	0.42	6.25	137.5
长江中游城市群	0.81	24.39	771.4	0.20	5.94	125.7
山东半岛城市群	1.00	15.00	1 615.9	0.84	12.63	320.5
中原城市群	0.93	12.14	726.6	0.49	6.34	84.9
粤闽浙沿海城市群	0.86	8.55	692.3	0.56	5.50	218.4
关中平原城市群	0.93	9.27	529.3	0.29	2.60	53.6
北部湾城市群	0.84	8.36	195.1	0.35	3.46	45.1
哈长城市群	0.96	9.64	910.7	0.29	2.91	57.1
辽中南城市群	1.00	11.00	855.8	0.46	5.00	58.3
山西中部城市群	1.00	4.00	507.4	0.70	2.80	70.4
兰西城市群	0.72	5.78	198.8	0.39	3.11	81.3
黔中城市群	1.00	5.00	404.2	0.53	2.67	52.0
滇中城市群	1.00	4.00	394.1	0.60	2.40	82.4
呼包鄂榆城市群	1.00	3.00	319.7	0.83	2.50	21.0
宁夏沿黄城市群	1.00	3.00	109.3	0.67	2.00	44.0
天山北坡城市群	0.95	5.71	265.8	0.43	2.57	38.9

Tab.1 Comparison of indicators of science and technology cooperation network in 19 urban agglomerations in China (2016—2020)

城市群	科学合作网络			技术合作网络
城市群	$d (G)$	$d ¯$	$w D (i)$	$d (G)$	$d ¯$	$w D (i)$
京津冀城市群	1.00	12.00	2 892.0	0.76	9.08	1 747.1
长三角城市群	0.97	24.15	3 864.0	0.70	17.54	1 544.0
粤港澳大湾区城市群	1.00	8.00	3 314.3	0.94	7.56	1 835.1
成渝城市群	1.00	15.00	1 188.5	0.42	6.25	137.5
长江中游城市群	0.81	24.39	771.4	0.20	5.94	125.7
山东半岛城市群	1.00	15.00	1 615.9	0.84	12.63	320.5
中原城市群	0.93	12.14	726.6	0.49	6.34	84.9
粤闽浙沿海城市群	0.86	8.55	692.3	0.56	5.50	218.4
关中平原城市群	0.93	9.27	529.3	0.29	2.60	53.6
北部湾城市群	0.84	8.36	195.1	0.35	3.46	45.1
哈长城市群	0.96	9.64	910.7	0.29	2.91	57.1
辽中南城市群	1.00	11.00	855.8	0.46	5.00	58.3
山西中部城市群	1.00	4.00	507.4	0.70	2.80	70.4
兰西城市群	0.72	5.78	198.8	0.39	3.11	81.3
黔中城市群	1.00	5.00	404.2	0.53	2.67	52.0
滇中城市群	1.00	4.00	394.1	0.60	2.40	82.4
呼包鄂榆城市群	1.00	3.00	319.7	0.83	2.50	21.0
宁夏沿黄城市群	1.00	3.00	109.3	0.67	2.00	44.0
天山北坡城市群	0.95	5.71	265.8	0.43	2.57	38.9

Tab.2 Evaluation and comparison of radiation capacity of regional scientific and technological innovation centers (2016—2020)

城市群	创新中心	科学合作网络		技术合作网络		综合得分	城市群	创新中心	科学合作网络		技术合作网络		综合得分
城市群	创新中心	$C D (i)$	$C w D (i)$	$C D (i)$	$C w D (i)$	综合得分	城市群	创新中心	$C D (i)$	$C w D (i)$	$C D (i)$	$C w D (i)$	综合得分
京津冀城市群	北京	12	13 256	12	9 850	0.729	中原城市群	郑州	13	4 133	11	440	0.252
京津冀城市群	天津	12	8 326	12	5 246	0.622	辽中南城市群	沈阳	11	3 716	11	264	0.232
长三角城市群	上海	25	16 628	24	6 824	0.847	关中平原城市群	西安	9	2 589	9	246	0.179
	南京	25	23 421	24	5 932	0.862	哈长城市群	长春	10	2 003	7	220	0.184
	杭州	25	10 495	23	5 556	0.793	滇中城市群	昆明	4	840	4	202	0.138
粤港澳大湾区城市群	广州	8	11 513	8	4 808	0.613	山西中部城市群	太原	4	1 215	4	168	0.148
粤港澳大湾区城市群	深圳	8	5 123	8	3 540	0.561	北部湾城市群	南宁	10	689	7	160	0.155
长江中游城市群	武汉	30	5 937	27	1 110	0.388	黔中城市群	贵阳	5	1 130	5	140	0.143
长江中游城市群	长沙	30	4 829	17	858	0.349	兰西城市群	兰州	8	690	6	86	0.137
成渝城市群	成都	15	6 551	15	934	0.315	天山北坡城市群	乌鲁木齐	5	787	5	118	0.133
山东半岛城市群	青岛	15	5 666	15	928	0.399	宁夏沿黄城市群	银川	3	206	3	86	0.114
山东半岛城市群	济南	15	6 122	15	1 292	0.408	呼包鄂榆城市群	呼和浩特	3	565	3	34	0.129
粤闽浙沿海城市群	厦门	9	2 557	9	628	0.233	呼包鄂榆城市群	呼和浩特	3	565	3	34	0.129
粤闽浙沿海城市群	福州	9	2 313	7	612	0.225

Tab.2 Evaluation and comparison of radiation capacity of regional scientific and technological innovation centers (2016—2020)

城市群	创新中心	科学合作网络		技术合作网络		综合得分	城市群	创新中心	科学合作网络		技术合作网络		综合得分
城市群	创新中心	$C D (i)$	$C w D (i)$	$C D (i)$	$C w D (i)$	综合得分	城市群	创新中心	$C D (i)$	$C w D (i)$	$C D (i)$	$C w D (i)$	综合得分
京津冀城市群	北京	12	13 256	12	9 850	0.729	中原城市群	郑州	13	4 133	11	440	0.252
京津冀城市群	天津	12	8 326	12	5 246	0.622	辽中南城市群	沈阳	11	3 716	11	264	0.232
长三角城市群	上海	25	16 628	24	6 824	0.847	关中平原城市群	西安	9	2 589	9	246	0.179
	南京	25	23 421	24	5 932	0.862	哈长城市群	长春	10	2 003	7	220	0.184
	杭州	25	10 495	23	5 556	0.793	滇中城市群	昆明	4	840	4	202	0.138
粤港澳大湾区城市群	广州	8	11 513	8	4 808	0.613	山西中部城市群	太原	4	1 215	4	168	0.148
粤港澳大湾区城市群	深圳	8	5 123	8	3 540	0.561	北部湾城市群	南宁	10	689	7	160	0.155
长江中游城市群	武汉	30	5 937	27	1 110	0.388	黔中城市群	贵阳	5	1 130	5	140	0.143
长江中游城市群	长沙	30	4 829	17	858	0.349	兰西城市群	兰州	8	690	6	86	0.137
成渝城市群	成都	15	6 551	15	934	0.315	天山北坡城市群	乌鲁木齐	5	787	5	118	0.133
山东半岛城市群	青岛	15	5 666	15	928	0.399	宁夏沿黄城市群	银川	3	206	3	86	0.114
山东半岛城市群	济南	15	6 122	15	1 292	0.408	呼包鄂榆城市群	呼和浩特	3	565	3	34	0.129
粤闽浙沿海城市群	厦门	9	2 557	9	628	0.233	呼包鄂榆城市群	呼和浩特	3	565	3	34	0.129
粤闽浙沿海城市群	福州	9	2 313	7	612	0.225

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