| 摘要: |
| 目的 研究各省域快递业影响因素的相互作用关系，为发展各省域快递业提供参考。方法 采用2014—2016年各省域快递业的数据，应用莫兰指数观察省域快递业的空间相关性，应用空间误差模型（SEM）分析各省域快递业投资、快递业信息化、快递基础设施、从业人数等因素对快递业发展的影响。结果 中国各省域快递业的莫兰指数分别为0.1372，0.2771，0.3029。结论 各省域快递业的空间依赖性有不断增强的趋势，各省域政府应加强信息设施的互联互通建设，推动各省域快递业的合作与协调发展，进而实现各省域快递业的更好发展。 |
| 关键词: 快递业 空间相关性 莫兰指数 SEM |
| DOI：10.19554/j.cnki.1001-3563.2019.23.029 |
| 分类号:F259 |
| 基金项目:国家自然科学地区科学基金（71562033） |
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| Spatial Econometric Analysis of Influencing Factors of China's Express Industry |
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GUO Ming-de, LI Hong
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Economic and Trade College, Xinjiang Agricultural University, Urumchi 830052, China
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| Abstract: |
| The work aims to study the interaction between the factors influencing the express industry and provide reference for the development of express industry in different provinces of China. The data of express industry from 2014 to 2016 in different provinces of China were applied. Moran's I was used to observe the spatial correlation of the express industry in different provinces and spatial error model (SEM) was used to analyze the effects of such factors as the in-vestment, informatization, infrastructure and number of employees in the express industry of different provinces on the development of the express industry. Moran's I of the express industry in different provinces of China were respectively 0.1372, 0.2771 and 0.3029. The spatial dependence of the express industry in different provinces is increasingly growing. China's provincial governments should strengthen the interconnection of information facilities to promote the cooperation and coordinated development of the express industry in different provinces, thus achieving better development of their express industry. |
| Key words: express industry spatial correlation Moran's I SEM |
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