Competitiveness and spatial pattern evolution of cultural and creative industries in the Yangtze River Delta:

doi:10.3969/j.issn.1004-9479.2024.12.20230249

Abstract

Key words: cultural and creative industries, competitiveness, spatial pattern evolution, the Yangtze River Delta

摘要：

增强文化创意产业竞争力是转变城市经济增长方式、满足民众多样化消费需求和提高国家文化软实力的重要战略举措。通过构建文化创意产业竞争力评价指标体系，采用因子分析法、聚类分析法及空间自相关分析等方法，分析2005—2020年长三角41个城市文化创意产业竞争力及其空间格局演化特征。研究发现：（1）长三角文化创意产业竞争力水平具有显著差异。上海文化创意产业竞争力水平最高，浙江和江苏分别有82%、54%的城市达到平均水平，安徽仅有合肥高于平均水平。（2）41个城市的文化创意产业竞争力由强到弱可分为五大聚类。上海位列最强类，但比较优势趋于弱化；南京、杭州、苏州为次强类，且保持较快提升；无锡等9个城市属于较强类；徐州等其他城市属于较弱类和最弱类。（3）长三角文化创意产业竞争力呈现正向的空间相关关系。苏州、无锡、常州和南通等高-高型空间关联显著，成为文化创意产业发展的热点地区。徐州、宿迁、阜阳和亳州等低-低型空间关联显著，成为文化创意产业发展的冷点地区。

关键词: 文化创意产业, 竞争力, 空间格局演化, 长三角

Weihua YIN, Yuting CHEN. Competitiveness and spatial pattern evolution of cultural and creative industries in the Yangtze River Delta:[J]. World Regional Studies, 2024, 33(12): 107-118.

殷为华, 陈雨婷. 长三角文化创意产业竞争力及空间格局演化研究[J]. 世界地理研究, 2024, 33(12): 107-118.

Figures/Tables 5

Tab.1 The evaluation index system of the CCIs’competitiveness

目标层	一级指标	二级指标	三级指标	代码
文化创意产业竞争力	生产要素	文化资源	每百人公共图书馆图书藏量/本	C1
		基础设施	每户家庭互联网宽带接入用户数/户	C2
		基础设施	移动电话普及率/%	C3
		人力资源	文化创意产业从业人员占比/%	C4
			全市普通高等学校在校学生人数/人	C5
			全市普通高校的数量/所	C6
		技术创新	专利授权数/件	C7
	需求要素	现状需求	城镇家庭人均教育文化娱乐支出占人均消费支出比重/%	C8
		潜在需求	城镇居民人均可支配收入/元	C9
			城镇居民人均消费性支出/元	C10
			人均GDP/元	C11
	相关支持产业	服务业	第三产业增加值占GDP比重/%	C12
		旅游业	旅游收入占GDP比重/%	C13
		金融业	年末金融机构贷款余额占GDP比重/%	C14
		工业	工业增加值占GDP比重/%	C15
	政府支持	财政支出	科技支出占财政支出比重/%	C16
	政府支持	财政支出	教育支出占财政支出比重/%	C17

Tab.2 CCIs’competitiveness of 41 cities in the Yangtze River Delta from 2005 to 2020

城市	2005年	2011年	2017年	2020年	城市	2005年	2011年	2017年	2020年
上海	1.91	1.49	1.23	1.50	衢州	－0.11	－0.18	－0.22	－0.23
南京	1.06	1.12	1.19	1.45	舟山	0.33	0.60	－0.09	－0.08
无锡	0.33	0.66	0.44	0.57	台州	0.20	0.15	0.13	0.10
徐州	－0.24	－0.15	－0.14	－0.15	丽水	0.04	－0.04	－0.31	－0.41
常州	0.14	0.37	0.34	0.37	合肥	0.39	0.19	0.41	0.39
苏州	0.46	0.90	0.93	1.03	芜湖	－0.08	－0.36	－0.31	－0.29
南通	－0.14	0.02	0.06	0.04	蚌埠	－0.35	－0.42	－0.39	－0.38
连云港	－0.21	－0.17	－0.14	－0.21	淮南	－0.28	－0.64	－0.39	－0.39
淮安	－0.36	－0.29	－0.07	－0.29	马鞍山	－0.15	－0.34	－0.24	0.00
盐城	－0.42	－0.23	－0.13	－0.24	淮北	－0.42	－0.81	－0.48	－0.32
扬州	－0.08	0.12	0.05	0.03	铜陵	－0.09	－0.42	－0.32	－0.37
镇江	0.04	0.01	0.14	0.13	安庆	－0.48	－0.58	－0.54	－0.48
泰州	－0.11	－0.15	－0.15	－0.21	黄山	－0.01	0.19	－0.76	－0.68
宿迁	－0.63	－0.45	－0.31	－0.27	滁州	－0.47	－0.59	－0.43	－0.43
杭州	0.93	1.03	1.17	1.23	阜阳	－0.49	－0.66	－0.47	－0.43
宁波	0.60	0.69	0.56	0.41	宿州	－0.57	－0.67	－0.47	－0.55
温州	0.33	0.32	0.84	0.45	六安	－0.47	－0.66	－0.46	－0.51
嘉兴	0.27	0.29	0.27	0.37	亳州	－0.65	－0.61	－0.44	－0.42
湖州	0.06	0.11	0.11	－0.05	池州	－0.32	0.00	－0.74	－0.66
绍兴	0.21	0.26	0.33	0.25	宣城	－0.41	－0.40	－0.51	－0.56
金华	0.27	0.28	0.30	0.30

Tab.3 Global Moran Index for CCIs’ competitiveness of cities in the Yangtze River Delta

年份	$M o r a n' s I$	E（I）	sd	P值	Z值
2005	0.300 0	－0.025 0	0.102 5	0.003 0	3.078 9
2006	0.303 7	－0.025 0	0.103 3	0.003 0	3.094 0
2007	0.356 6	－0.025 0	0.104 6	0.002 0	3.556 5
2008	0.393 8	－0.025 0	0.104 8	0.002 0	3.903 4
2009	0.403 6	－0.025 0	0.104 4	0.002 0	4.010 7
2010	0.434 6	－0.025 0	0.106 0	0.001 0	4.245 1
2011	0.438 0	－0.025 0	0.106 4	0.001 0	4.264 7
2012	0.461 0	－0.025 0	0.106 3	0.001 0	4.485 1
2013	0.441 9	－0.025 0	0.106 9	0.002 0	4.284 9
2014	0.429 9	－0.025 0	0.106 6	0.001 0	4.169 8
2015	0.403 0	－0.025 0	0.105 7	0.001 0	3.942 5
2016	0.362 9	－0.025 0	0.105 0	0.001 0	3.593 1
2017	0.275 8	－0.025 0	0.103 3	0.004 0	2.841 5
2018	0.286 1	－0.025 0	0.103 1	0.005 0	2.930 3
2019	0.250 6	－0.025 0	0.103 7	0.011 0	2.567 3
2020	0.263 7	－0.025 0	0.103 2	0.007 0	2.708 9

Tab.3 Global Moran Index for CCIs’ competitiveness of cities in the Yangtze River Delta

年份	$M o r a n' s I$	E（I）	sd	P值	Z值
2005	0.300 0	－0.025 0	0.102 5	0.003 0	3.078 9
2006	0.303 7	－0.025 0	0.103 3	0.003 0	3.094 0
2007	0.356 6	－0.025 0	0.104 6	0.002 0	3.556 5
2008	0.393 8	－0.025 0	0.104 8	0.002 0	3.903 4
2009	0.403 6	－0.025 0	0.104 4	0.002 0	4.010 7
2010	0.434 6	－0.025 0	0.106 0	0.001 0	4.245 1
2011	0.438 0	－0.025 0	0.106 4	0.001 0	4.264 7
2012	0.461 0	－0.025 0	0.106 3	0.001 0	4.485 1
2013	0.441 9	－0.025 0	0.106 9	0.002 0	4.284 9
2014	0.429 9	－0.025 0	0.106 6	0.001 0	4.169 8
2015	0.403 0	－0.025 0	0.105 7	0.001 0	3.942 5
2016	0.362 9	－0.025 0	0.105 0	0.001 0	3.593 1
2017	0.275 8	－0.025 0	0.103 3	0.004 0	2.841 5
2018	0.286 1	－0.025 0	0.103 1	0.005 0	2.930 3
2019	0.250 6	－0.025 0	0.103 7	0.011 0	2.567 3
2020	0.263 7	－0.025 0	0.103 2	0.007 0	2.708 9

Fig.1 Moran's I scatter plot of CCIs’ competitiveness of cities in the Yangtze River Delta

Fig.2 LISA spacial clustering map of the CCIs’competitiveness of cities in the Yangtze River Delta

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