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Distribution Characteristics and Influencing Factors of Supply Chain Innovation Firms: A Case Study of Zhejiang Province
The establishment of supply chain innovation enterprises is conducive to maximizing production efficiency, deepening the division of labor mechanism in all links, and promoting supply-side structural reform. In order to study the factors related to the distribution of supply chain innovation enterprises, this study was based on the pilot list of the first and second batches of supply chain innovation enterprises in Zhejiang Province from 2017 to 2019, and based on the geographical location points of 187 enterprises. The POI data were analyzed with the GeoDa 1.20 and ArcMap 10.8 systems, using tools such as the Moran index, nearest neighbor index, point density estimation, standard deviational ellipse, etc. The analysis results show that the distribution characteristics and influencing factors of supply chain innovation enterprises in Zhejiang Province demonstrate global autocorrelation and a high degree of local aggregation, forming a “one main multi-point” distribution with Hangzhou as the center. The influencing factors are mainly affected by employment density and local economy, and there are multi-factor interactions. Finally, this study puts forward suggestions for the improvement of supply chain innovation enterprises, hoping to promote the sustainable development of supply chain innovation enterprises.
Distribution Characteristics and Influencing Factors of Supply Chain Innovation Firms: A Case Study of Zhejiang Province
The establishment of supply chain innovation enterprises is conducive to maximizing production efficiency, deepening the division of labor mechanism in all links, and promoting supply-side structural reform. In order to study the factors related to the distribution of supply chain innovation enterprises, this study was based on the pilot list of the first and second batches of supply chain innovation enterprises in Zhejiang Province from 2017 to 2019, and based on the geographical location points of 187 enterprises. The POI data were analyzed with the GeoDa 1.20 and ArcMap 10.8 systems, using tools such as the Moran index, nearest neighbor index, point density estimation, standard deviational ellipse, etc. The analysis results show that the distribution characteristics and influencing factors of supply chain innovation enterprises in Zhejiang Province demonstrate global autocorrelation and a high degree of local aggregation, forming a “one main multi-point” distribution with Hangzhou as the center. The influencing factors are mainly affected by employment density and local economy, and there are multi-factor interactions. Finally, this study puts forward suggestions for the improvement of supply chain innovation enterprises, hoping to promote the sustainable development of supply chain innovation enterprises.
Distribution Characteristics and Influencing Factors of Supply Chain Innovation Firms: A Case Study of Zhejiang Province
Guanglan Zhou (author) / Luyao Zhu (author)
2022
Article (Journal)
Electronic Resource
Unknown
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