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中国直播电商发展的空间差异与影响机理研究
引用本文:张英浩,汪明峰,汪凡,刘婷婷.中国直播电商发展的空间差异与影响机理研究[J].地理科学,2022,42(9):1555-1565.
作者姓名:张英浩  汪明峰  汪凡  刘婷婷
作者单位:1.华东师范大学中国现代城市研究中心,上海 200062
2.华东师范大学城市与区域科学学院,上海 200241
3.崇明生态研究院,上海 202162
4.乌特勒支大学人文地理与空间规划系,荷兰 乌特勒支 3584CB
基金项目:国家社会科学基金项目(19AZD007);国家自然科学基金项目(42171207);上海市教育委员会科研创新计划重大项目(2021-01-07-00-08-E00130)
摘    要:直播电商作为一种赋能地区发展的新型技术形式与商业模式,改变着传统购物模式、产业链与供应链结构,逐渐成为经济发展的新引擎。基于抖音平台直播带货等多元开源数据,运用演化经济地理学中相关概念,实证分析了中国292个地级及以上城市的直播电商空间分布格局与影响因素。结果表明:直播带货主播数量与粉丝数量的空间格局表现出一定的相似性,但后者空间分布更加分散;直播带货销售额的地区差异性最大,并且在长三角和珠三角核心地区出现显著高高集聚区。地区产业与供应链基础是发展直播电商的重要保障,Multi-Channel Network(MCN)和直播带货主播发挥着整合、链接区域内外相关资源的重要角色。此外,政府行为和空间邻近效应对直播电商发展也有积极的影响。

关 键 词:直播电商  演化经济地理学  能动性  空间计量模型  
收稿时间:2021-03-12
修稿时间:2021-07-21

Spatial Differences in the Development of Livestreaming E-commerce and Influence in China
Zhang Yinghao,Wang Mingfeng,Wang Fan,Liu Tingting.Spatial Differences in the Development of Livestreaming E-commerce and Influence in China[J].Scientia Geographica Sinica,2022,42(9):1555-1565.
Authors:Zhang Yinghao  Wang Mingfeng  Wang Fan  Liu Tingting
Institution:1. Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China
2. School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
3. Institute of Eco-Chongming, Shanghai 202162, China
4. Department of Human Geography and Spatial Planning, Utrecht University, 3584CB, Utrecht, the Netherlands
Abstract:In this paper, the theories and concepts of path dependence, path creation and agency in evolutionary economic geography are used to analyze the development mechanism of livestreaming e-commerce. Then, based on multiple open-source data such as DouYin platform, the regional differences, spatial distribution patterns and influencing factors of livestreaming e-commerce in 292 cities above prefecture level in China are empirically analyzed by Cartogram method, exploratory spatial data analysis tools, coefficient of variation, theil index and spatial econometric model. The results show that the spatial pattern of the number of streamers and the number of followers shows some similarity but with some spatially divergent characteristics. The most significant regional variability and spatial unevenness in the sales of livestreaming e-commerce are found in the core regions of the Yangtze River Delta and the Pearl River Delta, with significantly high and high clustering areas. In addition, the empirical measurement results show that the number of Taobao villages, the index of online e-commerce, the number of head streamers with goods, the number of other streamers with goods, the number of MCN and the level of express logistics services are the significant factors affecting the regional differences in the development level of livestreaming e-commerce. We found that the development of livestreaming e-commerce results from a combination of mechanisms and factors. Specifically, at first, the regional industry and the supply chain base are necessary guarantees for the development of livestreaming e-commerce. Secondly, MCN and streamers with goods play an essential role in integrating and linking relevant resources within and outside the region. In addition, government encouragement and support actions and the spatial effect of neighbouring regions positively impact the development of livestreaming e-commerce. In the future, the exploration of the interactions and relationships between supply and industry chains, actors, institutions and government actions in typical cities where livestreaming e-commerce is well developed will also be a key focus of EEG and Internet geography.
Keywords:livestreaming e-commerce  Evolutionary Economic Geography  agency  Spatial Econometric models  
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