产业生命周期视角下多维邻近性对集群创新的动态影响——以中国电子信息产业集群为例

The Dynamic Effects of Multi-dimensional Proximity on Cluster Innovation from the Perspective of Industrial Life Cycle——A Case on Electronic Information Industry Cluster in China

采用Logistic曲线拟合与产值增长率相结合的方法判定中国电子信息产业集群生命周期,重点分析多维邻近性对不同集群演化各阶段创新的影响。结果表明：环渤海、长三角、珠三角集群均已进入成熟期,成渝集群尚处成长阶段。地理邻近对各集群演化阶段创新影响呈现差异化特征：环渤海呈倒U型,长三角为持续增加的正影响,其他两大集群大体呈正影响但影响程度各异。认知邻近对各集群演化阶段创新影响亦呈差异化特征：环渤海为持续增加的正影响,长三角呈倒U型,其他两大集群呈持续增加的正影响但影响程度不同。

Based on the combination method of the Logistic curve fitting and the output growth rate,this paper determines the cluster life cycle of the electronic information industry and focus on the empirical analysis of the effect of the multi-dimensional proximity on innovation at all stages of the different cluster evolution. Results show that：（1） The three major clusters of Bohai Sea,the Yangtze River Delta and the Pearl River Delta have entered the mature stage,and ChengduChongqing cluster at the growth stage.（2） The influence of geographical proximity on each cluster＇s evolution is different：the Bohai Sea is inverted U-type and the Yangtze River Delta is positive effect on the continuous increase,while the other two clusters are generally positive affected with different degrees of influence.（3） The impact of cognitive proximity on the innovation of the cluster is also differentiated： the positive impact of the Bohai Sea for the continuous increase,the Yangtze River Delta is inverted U-shaped,the other two clusters with varying degrees of a continuous increase of positive effect.