Spatial–temporal evolution of the distribution pattern of customer sources in tea trade of Fujian enterprise supply chain
| Autor: | Shiliang Zhang, Tingcheng Chang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
business.industry Supply chain Kernel density estimation Environmental resource management Commodity Distribution (economics) 02 engineering and technology 021001 nanoscience & nanotechnology Condensed Matter Physics 01 natural sciences Electronic Optical and Magnetic Materials Geography Hardware and Architecture Spatial distribution pattern Distribution pattern 0103 physical sciences Electrical and Electronic Engineering 0210 nano-technology business Spatial analysis Temporal information |
| Zdroj: | Microsystem Technologies. 27:1305-1315 |
| ISSN: | 1432-1858 0946-7076 |
| DOI: | 10.1007/s00542-018-4228-0 |
| Popis: | The temporal and spatial operation of commodity business activities is neither random nor accidental. It is characterized by inner laws and features. Based on spatio-temporal analysis in GIS, the objective of this study was to use spatial autocorrelation method and kernel density estimation to study the temporal and spatial distribution pattern of customer sources in tea trade extracted from enterprise supply chains in Fujian Province, China. Using data of Fujian tea business as an example, customer sources showed a typical clustered pattern overall that could be classified into several hot areas. The distribution of customer sources is dynamic along with time. These hot areas spread from coastal cities to inland cities, ranging from urban to suburban. Meanwhile, it showed a relatively irregular distribution in suburban areas with aggregation distribution near urban areas. This study applied GIS spatio-temporal analysis technology to the analysis of an enterprise supply chain, synthesizing both spatial and temporal information and successfully integrating business with geography. |
| Databáze: | OpenAIRE |
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