知识密集型服务业的空间关联性及其影响因素——以浙江省69个县市为例

发布时间：2018-04-08 07:08

本文选题：创新发展　切入点：知识密集型服务业(KIBS)　出处：《经济地理》2017年03期

【摘要】：基于浙江省69个县市2004—2013年相关经济发展数据,运用探索性空间数据分析法研究其知识密集型服务业发展的空间分布特征和时空演化规律,并采用空间常系数模型分析浙江省知识密集型服务业集聚发展的影响因素。结果表明:浙江省知识密集型服务业发展存在显著的空间集聚现象,已经形成以杭州、宁波为集聚中心的空间发展格局,且处于高值簇的县市之间联系紧密,属于低值簇的县市之间相互作用较弱。空间计量分析显示,SEM模型的空间自相关系数显著为正,进一步证明浙江省知识密集型服务业发展的空间扩散效应存在。解释变量中制造业集聚、政府保护度、信息化水平、城镇化水平、人力资本对区域KIBS的发展具有不同程度的促进作用,而经济开放度尚未形成对KIBS的有效推动。
[Abstract]:Based on the relevant economic development data of 69 counties and cities in Zhejiang Province from 2004 to 2013, the spatial distribution characteristics and temporal and spatial evolution of the development of knowledge-intensive service industry were studied by exploratory spatial data analysis.The spatial constant coefficient model is used to analyze the influencing factors of the agglomeration of knowledge intensive service industry in Zhejiang Province.The results show that there is a significant spatial agglomeration phenomenon in the development of knowledge-intensive service industry in Zhejiang Province, which has formed a spatial development pattern with Hangzhou and Ningbo as the agglomeration centers, and the relationship between counties and cities in high value clusters is close.The interaction between counties and cities belonging to low value cluster is weak.Spatial econometric analysis shows that the spatial autocorrelation coefficient of SEM model is significantly positive, which further proves the existence of spatial diffusion effect in the development of knowledge-intensive service industry in Zhejiang Province.In the explanatory variables, manufacturing agglomeration, government protection, information level, urbanization level and human capital can promote the development of regional KIBS to varying degrees, but the economic openness has not yet formed the effective promotion to KIBS.
【作者单位】：宁波大红鹰学院金融贸易学院;浙江万里学院物流与电子商务学院;
【分类号】：F264.2

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