农业产业集群创新通道及溢出效应——以山东寿光蔬菜产业集群为例

doi:10.18306/dlkxjz.2019.06.007

Abstract

Abstract:

The innovation of agricultural industrial clusters is a process of integration of various relationships, while the development of modern agricultural clusters cannot be separated from the local and global contexts. Hence, it is of great theoretical and practical significance to study the innovation of agricultural clusters and its spillover effects with regard to the local and global network relationships. Taking the Shouguang Vegetable Production Industrial Cluster as an example and using field survey data obtained in 2017, and social network analysis and a spatial econometric model, this study analyzed the pathways and spillover effects of cluster innovation. The results show that: 1) The cluster's local connections include a strong local enterprise network and a weak government-industry-university-research network, in which the agglomeration of the local enterprises is prominent, and the enterprises are closely linked. The core enterprises in the two relationship networks have a strong control over resource and information. 2) As a weak link outside the cluster, the global network has a low density of network links. The network as a whole shows the characteristics of structural holes, and its core node enterprises show strong control over overseas resource heterogeneity. The spatial error model is better than other models in measuring the spillover effects of cluster innovation, in which the cluster's local enterprise relationship, inter-enterprise spatial proximity, and global relationship all play a certain role in promoting cluster innovation. Further mechanism analysis shows that local relationship links and global relationships play different roles in cluster innovation, and the interaction between strong and weak relationships is the key to the diffusion, absorption, and utilization of heterogeneous innovation resources.

Key words: agricultural industrial clusters, innovation pathways, spillover effects, social network, Shouguang City

Yanwen SHI, Erling LI, Xiaojian LI, Shixin REN. Innovation pathways and spillover effects of agricultural industrial clusters: A case of vegetable production industrial cluster in Shouguang City, Shandong Province[J].PROGRESS IN GEOGRAPHY, 2019, 38(6): 861-871.

Figures/Tables 11

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References 24

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创新网络类型		网络密度	网络集中度	点度中心度
创新网络类型		网络密度	网络集中度	最大值	最小值	平均值
地方联系	企业本地网络	0.1734	28.82%	14.000	2.000	5.625
地方联系	官产学研网络	0.0433	13.95%	14.000	1.000	3.392
全球通道	企业全球网络	0.0246	9.88%	8.000	0	1.672

创新网络类型		中间中心势指数	结构洞限制度
创新网络类型		中间中心势指数	最大值	最小值	平均值	标准偏差
地方联系	企业本地网络	14.54%	1.125	0.200	0.489	0.233
地方联系	官产学研网络	26.58%	1.000	0.091	0.389	0.295
全球通道	企业全球网络	14.84%	1.000	0	0.166	0.294

变量	定义	均值	标准差	最小值	最大值
企业创新效率(EIE)	基于Input-BC²模型测度的企业创新效率	0.8499	0.1136	0.5800	1.0000
资产规模 (AS)	以企业固定资产反映规模状况（万元）	21914	43074	50.0000	200000
地理空间邻近距离(GP)	集群企业间空间邻近平均距离的倒数	0.0794	0.2941	0.1044	0.0481
本地企业网络中心度(CLE)	集群企业本地网络关系点度中心度	4.3125	2.8561	1.0000	14.0000
本地企业网络结构洞指数(SHILE)	集群企业在本地网络中所处位置	0.4893	0.2335	0.2000	1.1300
官产学研网络中心度(CGIUI)	集群企业在与政府、高校、研究机构组成网络的中心度	3.3920	2.9100	1.0000	14.0000
官产学研网络结构洞限制度(SHLGIUI)	集群企业在与政府、高校、研究机构组成网络中所处位置	0.3892	0.2950	0.0910	1.0000
全球网络中心度(CG)	集群企业与海外企业或机构组成网络的中心度	1.6720	2.9100	0	8.0000
全球网络结构洞限制度(SHLG)	集群企业在与海外企业或机构组成网络中所处位置	0.1856	0.2940	0	1.0000

变量	系数	标准差	VIF	P值	检验统计量	统计量	P值
常数项	2.3072^**	6.6355		0.031	Breusch-Pagan	11.2160	0.189
lnAS	0.0048	0.0172	0.766	0.782	Koenker-Bassett	7.7470	0.458
lnSHILE	0.0493^***	0.0737	0.651	0.010	Moran's I	0.2055^**	0.017
lnCLE	0.0885	0.0525	0.457	0.105	LMLAG	1.0064^**	0.015
lnGP	0.0862^*	0.1249	0.233	0.096	R-LMLAG	0.4474^***	0.003
lnCG	1.2532^*	0.8382	0.769	0.070	LMERR	1.6117^***	<0.001
lnSHLG	1.2594^*	0.8389	0.658	0.069	R-LMERR	1.3854^***	<0.001
lnCGIUI	0.1502	0.5328	0.308	0.780
lnSHLGIUI	0.1048	0.5025	0.880	0.836
调整R²	0.2698
LogL	22.7364
AIC	-25.6352
SC	-10.9778

变量	空间滞后模型(SLM)			空间误差模型(SEM)
变量	系数	标准差	P值	系数	标准差	P值
常数项	3.4047	6.2840	0.007	-1.1897	6.0267	0.003
空间相关系数	0.8276^***	0.2550	0.001	0.8404^***	0.2536	<0.001
lnAS	0.0043	0.0145	0.764	0.0116	0.0120	0.335
lnSHILE	0.0436^***	0.0626	0.005	0.0028^***	0.0663	<0.001
lnCLE	0.0931^**	0.0446	0.037	0.1158^***	0.0426	0.006
lnGP	0.0962^***	0.1065	0.006	0.1123^***	0.0700	<0.001
lnCG	1.2817^**	0.7079	0.048	1.6624^**	0.7056	0.018
lnSHLG	1.2866^**	0.7085	0.046	1.6411^**	0.7051	0.019
lnCGIUI	0.1577	0.4501	0.725	0.5280	0.4622	0.253
lnSHLGIUI	0.1091	0.4246	0.797	0.4432	0.4352	0.308
调整R²	0.2754			0.3967
LogL	22.8176			23.5418
AIC	-27.4728			-29.0837
SC	-14.2811			-15.8921

Innovation pathways and spillover effects of agricultural industrial clusters: A case of vegetable production industrial cluster in Shouguang City, Shandong Province

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