Spatial Differentiation and Influencing Factors of Development Level of Internet Celebrity of Douyin in Rural Areas of China

  • ZHANG Gaisu ,
  • YU Jiatian ,
  • MA Fangfang ,
  • DING Zhiwei ,
  • LI Han
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  • 1. College of Geography and Environmental Science,Henan University,Kaifeng 475004,Henan,China;
    2. Research Center of Regional Development and Planning,Henan University,Kaifeng 475004,Henan,China;
    3. National Demonstration Center for Experimental Environment and Planning Education,Henan University,Kaifeng 475004,Henan,China

Received date: 2023-11-08

  Revised date: 2024-03-18

  Online published: 2024-09-14

Abstract

Based on the quantity,sales and fan numbers of Internet celebrities of Douyin in rural areas of China,this study constructs a comprehensive index of its development level,and analyzes the spatial characteristics and the influencing factors of rural Internet celebrity development of Douyin in China by the means of type classification,kernel density and rank-size law. The results show that: 1) From the overall spatial distribution,rural Internet celebrities of Douyin have shown spatial clustering characteristics of "one core area,two sub-core areas,and two nodes". The core area is located at the boundary between Shandong,Henan and Anhui and their adjacent areas,and the two sub-core areas are located in Zhengzhou,Xuchang and the boundary between Lianyungang,Suqian and Xuzhou. In addition,two medium-density core nodes are formed in Chongqing and southern Sichuan. 2) From type classification and spatial differences,the high-density agglomeration areas of short video type and non-sales type are located in Chongqing and the Shandong-Henan region centered on Shangqiu. Video sales type is concentrated in Yibin,Lishui and eastern Henan. Live streaming type,sales type,and live streaming sales type of rural Internet celebrities generally align with the overall trend but with an elevated level of hierarchy. 3) From the rank-size characteristics,the fitting line deviated from the ideal,it has the small number of the high-level areas which show discrete distribution,it has the large number of medium-level areas which show the characteristic of undifferentiated hierarchies,while low-level areas have obviously gaps. From the various types,live streaming type,sales type and live streaming sales type are consistent with overall trend. Video sales type conforms to the ideal state,while short video type and non-sales type exhibit pronounced polarization and discontinuity. 4) In terms of influencing factors,the rise of "grassroots talents" supported by the rural population scale and the loose e-commerce policy environment are the dominant factors that affect the overall development level of rural Internet celebrities of Douyin. The secondary factor is the level of rural economic development,while agricultural technological support plays a general role. However,there are different explanatory power for the development level of each type of rural Internet celebrities of Douyin.

Cite this article

ZHANG Gaisu , YU Jiatian , MA Fangfang , DING Zhiwei , LI Han . Spatial Differentiation and Influencing Factors of Development Level of Internet Celebrity of Douyin in Rural Areas of China[J]. Economic geography, 2024 , 44(6) : 154 -165 . DOI: 10.15957/j.cnki.jjdl.2024.06.016

References

[1] 国家图书馆研究院. 中国互联网络信息中心发布第50次《中国互联网络发展状况统计报告》[J]. 国家图书馆学刊,2022,31(5):12.
[2] 张可,许可,吴佳霖,等. 网红短视频传播对消费者旅游态度的影响——以丁真走红现象为例[J]. 旅游学刊,2022,37(2):105-119.
[3] 张荣. 从三农短视频看数字乡村的空间生产与文化激活——以“含山汤猫子”短视频为例[J]. 河北学刊,2022,42(4):169-176.
[4] 任纪元. 面向乡村振兴的“村红”价值提升策略研究[D]. 开封:河南大学,2022.
[5] Jiang L,Zang M,Cao Q.Rural tourism development boosted by the internet celebrity Ding Zhen—A case of Litang country[J]. International Journal of Social Science and Education Research,2021,4(8):435-439.
[6] Yun X.The popularity of Ding Zhen:Female gaze,female power and public sphere[J]. Media and Communication Research,2023,4(4):20-24.
[7] 袁宇阳. 短视频平台新农人助力乡村振兴的实践探索、现实困境与推进路径[J]. 电子政务,2023,20(10):71-83.
[8] 马乐. 抖音平台中的“三农”短视频研究[D]. 哈尔滨:黑龙江大学,2021.
[9] 刘波洋,常燕民. 乡村网红的圈层突围——以李子柒为例[J]. 新闻爱好者,2020,35(6):35-38.
[10] 李梦磊,徐建国. 融媒体视域下乡村文化传播策略研究[J]. 编辑之友,2023,43(6):53-57.
[11] Li H.From disenchantment to reenchantment:Rural microcelebrities,short video,and the Spectacle-ization of the rural lifescape on Chinese social media[J]. International Journal of Communication,2020,14:3769-3787.
[12] Zhang W,Chintagunta P K,Kalwani M U.Social media,influencers,and adoption of an eco-friendly product:Field experiment evidence from rural China[J]. Journal of Marketing,2021,85(3):10-27.
[13] 常民强,常怡明. 乡村振兴视域下农村自媒体传播的进路[J]. 青年记者,2020,80(2):37-38.
[14] 罗震东,项婧怡. 移动互联网时代新乡村发展与乡村振兴路径[J]. 城市规划,2019,43(10):29-36.
[15] 桑子文,陶亚亚. 李子柒IP运营的盈利模式研究——基于“配方式媒介”视角的分析[J]. 山东大学学报:哲学社会科学版,2020,70(2):40-48.
[16] Yu L J.Analysis of Internet marketing from the perspective of “Internet celebrity economy”[J]. Journal of Frontiers in Educational Research,2021,1(3):115-119.
[17] 梁璐,符鸿燕,李九全,等. 网红城市网络关注度时空动态演变及影响因素研究——以西安市为例[J]. 地理科学,2022,42(9):1566-1576.
[18] 项婧怡. 移动互联网时代“网红空间”的产生与空间特征研究[D]. 南京:南京大学,2021.
[19] 高府斌. 武汉市网红设施空间分布及影响因素研究[D]. 武汉:华中科技大学,2021.
[20] Xiang J Y,Luo Z D,Zhang J Y,et al.Research on the distribution characteristics of Internet-famous space in the mobile Internet era:A case study on the main urban area of Hangzhou,China[J]. China City Planning Review,2022,31(2):40-52.
[21] 马芳芳,丁志伟. 中国抖音直播带货行业发展的空间分异及影响因素[J]. 经济地理,2021,41(12):22-32.
[22] 彭珏,何金廖. 电商粉丝经济的地理格局及其影响因子探析——以抖音直播带货主播为例[J]. 地理科学进展,2021,40(7):1098-1112.
[23] 牟乃夏,刘文宝,王海银. ArcGIS10地理信息系统教程[M]. 北京:测绘出版社,2012.
[24] 沈体雁,周麟,王利伟,等. 服务业区位选择的交通网络指向研究——以北京城市中心区为例[J]. 地理科学进展,2015,34(8):947-956.
[25] 应奎,黄小丽,丁金宏. 贵州县域综合经济密度时空特征及影响因素研究[J]. 长江流域资源与环境,2024,33(1):27-39.
[26] 彭红艳,丁志伟. 中国淘宝村“增长—消失”的时空特征及影响因素分析[J]. 世界地理研究,2021,30(5):1-16.
[27] 丁志伟,马芳芳,张改素. 基于抖音粉丝量的中国城市网络关注度空间差异及其影响因素[J]. 地理研究,2022,41(9):2548-2567.
[28] 王明杰,颜梓晗,余斌,等. 电子商务专业村空间格局演化及影响因素研究——基于2015—2020年中国淘宝村数据[J]. 地理科学进展,2022,41(5):838-853.
[29] 马芳芳. 中原城市群直播电商主播数量与质量的空间差异及影响因素分析[D]. 开封:河南大学,2023.
[30] 丁志伟,罗婉琳,马芳芳. 中国县域政府官员直播带货水平的空间差异及其影响因素[J]. 经济地理,2023,43(12):69-79.
[31] 徐智邦,王中辉,周亮,等. 中国“淘宝村”的空间分布特征及驱动因素分析[J]. 经济地理,2017,37(1):107-114.
[32] 浩飞龙,关皓明,王士君. 中国城市电子商务发展水平空间分布特征及影响因素[J]. 经济地理,2016,36(2):1-10.
[33] 陈延斌,殷冠文,王少慧. 山东省电子商务发展水平的地域特征及影响因素[J]. 经济地理,2022,42(1):135-143.
[34] 吴小妮,管卫华,张惠,等. 成渝城市群网络关注度的空间分异及影响因素——基于抖音粉丝量数据[J]. 世界地理研究,2023,32(11):130-140.
[35] 王彤彤. 媒介地理学视角下网红打卡地的生产研究[D]. 长春:吉林大学,2024.
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