黄河流域文化产业集群时空格局与空间溢出效应研究

doi:10.12118/j.issn.1000-6060.2023.097

Abstract

Abstract:

In the context of high-quality development in the Yellow River Basin of China, establishing cultural industry clusters and exploring of spatial spillover effects is of utmost importance for accelerating the transition toward high-quality development in the basin, while fostering balanced regional development. In this study, based on a comprehensive understanding of the concept of industrial clusters, a cultural industry cluster level index system, was devised. It leverages data from 62 cities in the Yellow River Basin, from 2005 to 2020, as samples. This study calculated cultural industry cluster levels in these urban regions, investigated the spatial correlation of these cluster levels using Moran’s I, and constructed different spatial weight matrices. The spatial Durbin model was employed to explore the influencing factors behind cultural industry cluster spillover effects and analyze the pathways of these influencing factors. The study results are as follows: (1) Between 2005 and 2020, the average index of cultural industry clusters in the Yellow River Basin increased from 0.07 to 0.21. However, this distribution was extremely uneven, showing a development pattern of “high in the east and low in the west.” The distribution of cities within different cluster levels showed a “positive triangle” pattern. (2) There is a noticeable negative spatial spillover effect on the cultural industry cluster levels in the Yellow River Basin, and the presence of a “Matthew effect” is very severe. (3) The decomposition of the spatial spillover effect reveals that the selected influencing factors have negative spillover effects on the cultural industry cluster levels in neighboring cities. (4) The spatial spillover effect shows a notable correlation with spatial distance. The positive spatial spillover effect is strongest when the geographical distance reaches 500 km, and it gradually diminishes as distances exceed 850 km, exhibiting an inverted “U” shape trend. Finally, the study uncovered a distinct “cluster shadow” phenomenon among cities in the Yellow River Basin, with a weak positive spillover effect. Therefore, to accelerate the development of cultural industry clusters in the Yellow River Basin, improve regional competitiveness, and narrow regional development gaps, establishing the theoretical concept of synergistic development is crucial. Leveraging opportunities for urban revitalization and adopting context-specific development modes according to the development of cultural industry clusters can considerably contribute to the high-quality development of the Yellow River Basin.

Key words: Yellow River Basin, cultural industry, cluster level, influencing factors, spatial spillover effect

LU Zidao, SONG Wanyi, WANG Yue, PAN Haize, MENG Xiaolin, YAN Yuqiang. Spatiotemporal pattern and spatial spillover effect of cultural industry clusters in the Yellow River Basin[J].Arid Land Geography, 2023, 46(11): 1927-1937.

Figures/Tables 9

Tab. 1

Tab. 2

Factors influencing spatial spillover effects of cultural industry clusters"

一级指标	二级指标	指标变量	单位	指标含义	权重
物质空间环境	道路面积	$R A$	10⁴ m²	基础设施水平	0.1247
	建成区绿化覆盖率	$G C$	%	生态环境质量	0.0178
	城市夜间灯光总和	$D M S P$	-	城市发展水平	0.0804
	文化资源得分	$C H S$	-	文化资源禀赋	0.0919
社会经济环境	互联网用户数量	$I U$	10⁴户	现代化水平及知识交流便捷程度	0.1491
	人均国内生产总值	$R G D P$	元	劳动生产率	0.0852
	第三产业占GDP比重	$I S E$	%	产业结构	0.0214
	普通高等学校教师数量	$N T U$	名	劳动力素质	0.2765
	公共图书馆藏书量	$B C$	10⁴册	城市文化氛围	0.1526

Tab. 2

Fig. 1

Fig. 2

Tab. 3

Moran’s I of cultural industry cluster in the Yellow River Basin"

年份	$M o r a n ’ s I g l o b a l$	$B - M o r a n ’ s I g l o b a l$									$M o r a n ’ s I l o c a l$
年份	$M o r a n ’ s I g l o b a l$	RA	GC	DMSP	CHS	IU	RGDP	ISE	NTU	BC	$M o r a n ’ s I l o c a l$
2005	-0.071	-0.167	-0.147	-0.101	-0.124	-0.142	0.005	-0.034	-0.158	-0.174	-0.070
2010	-0.116	-0.112	0.072	0.020	-0.026	-0.115	0.089	0.004	-0.103	-0.121	-0.190
2015	-0.194	-0.057	-0.015	-0.056	-0.068	-0.116	0.060	-0.082	-0.082	-0.101	-0.262
2020	-0.239	-0.004	0.104	-0.092	0.012	-0.051	-0.018	-0.050	-0.050	-0.028	-0.273

Tab. 3

Fig. 3

Tab. 4

SDM regression results of influencing factors on cultural industry clusters in the Yellow River Basin"

变量	系数	$t$ 统计量	变量	系数	$t$ 统计量
$R A$	-0.467^*	0.240	$W × R A$	-4.204^***	1.474
$G C$	2.004^***	0.696	$W × G C$	-5.239	5.170
$D M S P$	-0.026	0.207	$W × D M S P$	-3.759^***	1.352
$C H S$	0.613^***	0.085	$W × C H S$	-0.181	1.064
$I U$	0.893^**	0.347	$W × I U$	-0.082	1.098
$R G D P$	2.166^***	0.191	$W × R G D P$	5.412^***	0.893
$I S E$	6.165^***	0.573	$W × I S E$	-0.115	3.150
$N T U$	0.033	0.573	$W × N T U$	0.911^*	0.485
$B C$	2.065^***	0.087	$W × B C$	-0.976	1.032
$ρ$	-0.240^***	0.190	$L R S p a t i a l E r r o r$	137.520	-
$R 2$	0.666	-	$W a l d t e s t$	94.060	-
$L o g - l i k e l i h o o d$	1667.780	-	$H a u s m a n t e s t$	59.830	-
$L R S p a t i a l L a g$	154.980	-

Tab. 4

Tab. 5

Fig. 4

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维度	具体指标	指标变量	权重
文化产业集群规模	文化产业主体数量	N	1/3
文化产业集群联系度	文化产业企业平均最近邻指数	ANN	1/3
文化产业集群专业化程度	区位熵	LQ	1/3

解释变量	直接效应（t统计量）	间接效应（t统计量）
RA	0.436^*（0.252）	-3.403^**（1.472）
GC	2.014^***（0.696）	-4.715^**（4.100）
DMSP	0.004（0.203）	-3.000^***（0.993）
CHS	0.620^***（0.084）	-0.319（0.870）
IU	0.883^**（0.346）	-0.226（0.994）
RGDP	2.129^***（0.175）	3.973^***（1.085）
ISE	6.173^***（0.565）	-1.332^**（2.521）
NTU	0.023（0.092）	0.759^**（0.347）
BC	2.086^***（0.184）	-1.208（0.804）

Spatiotemporal pattern and spatial spillover effect of cultural industry clusters in the Yellow River Basin

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