基于县域尺度的河南省淘宝店铺数量与质量的空间分异及其影响因素
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摘要
基于构建的淘宝店铺数量获取与质量计算方法,运用空间分类、探索性空间数据分析、空间回归等分析方法,对河南省县域尺度淘宝店铺数量与质量的空间分异格局进行研究.结果表明:①从综合类店铺来看数量和质量的空间分异格局具有一定的相似度,极高、高等、较高水平区主要分布在中部及南阳的部分地区,中等水平区主要临近3类高水平区分布,极低、低等、较低水平区主要分布在中南、东南、南部并连续成片.②从各类别店铺来看,农产品型、批发零售型店铺数量与质量的空间分布最广且与整体相似度最高.机械仪器、非金属、体艺文卫、生活服务类店铺在分布上出现很多空白区,等级结构不够完善,以极低等水平区为主,但在郑州市区附近均出现了高等水平区.③淘宝店铺数量和质量的空间关联格局较为相似,多以冷点和热点集聚区为主,冷点集聚区多于热点.在数量上形成两个热点集聚区,三个冷点集聚区.热点分布在河南省中部的郑州市区附近以及南部南阳附近;冷点分布在以鹤壁市为中心的北部地区以及东南部的周口、驻马店、信阳等绵延区.在质量上,郑州市区附近形成一个热点集聚中心,冷点集聚区在河南省中南部形成横向大范围冷点绵延区.④通过定量与定性结合的方法发现,影响淘宝店铺数量的因素主要为经济发展水平、居民消费能力、原有商业基础,影响淘宝店铺质量的原因主要是区位优势、卖家经营理念以及地区商品名声等.
Based on the constructed methods of Taobao shops number acquisition and quality calculation,the spatial differentiation pattern of quantity and quality of Taobao shops in counties of Henan Province was analyzed by spatial classification,spatial exploratory data,analysis spatial regression and other analytical methods.The results show that:(1)There is a certain degree of similarity in the spatial differentiation pattern between quantity and quality of Taobao shops.The three types of higher horizontal areas are mainly distributed in the central part and parts of Nanyang.Medium-level areas are mainly adjacent to high-level areas.The three types of low-level areas are mainly distributed in the south,southeast and south central.These areas are continuously formed into pieces.(2)Judging from the classification of Taobao shops:the distribution of the quantity and quality of agricultural products,and wholesale and retail stores is largest,and their spatial distribution is the most similar to that of integrated type stores.(3)The spatial correlation pattern of the quantity and quality of Taobao shops is more similar.Two hot spot clusters and three cold spot clusters are formed in quantity.Hot spot clusters are located in the central part of Zhengzhou City in central Henan Province and near Nanyang in the south.The cold spot agglomeration areas are distributed in the northern region centered on Hebi City and Zhoukou,Zhumadian and Xinyang metropolitan areas in the southeast.In the aspect of Taobaos quality and spatial correlation:a hot spot gathering center is formed near Zhengzhou City;the cold spot cluster area forms a large-scale cold-zone stretch zone in the south-central part of Henan Province.(4)Through the combination of quantitative and qualitative methods,the factors affecting the number of Taobao shops are mainly the level of economic development,the consumption power of residents,and the original commercial basis.The reasons for the quality of Taobao shops are mainly location advantages,sellersbusiness philosophy and regional product reputation.
Based on the constructed methods of Taobao shops number acquisition and quality calculation,the spatial differentiation pattern of quantity and quality of Taobao shops in counties of Henan Province was analyzed by spatial classification,spatial exploratory data,analysis spatial regression and other analytical methods.The results show that:(1)There is a certain degree of similarity in the spatial differentiation pattern between quantity and quality of Taobao shops.The three types of higher horizontal areas are mainly distributed in the central part and parts of Nanyang.Medium-level areas are mainly adjacent to high-level areas.The three types of low-level areas are mainly distributed in the south,southeast and south central.These areas are continuously formed into pieces.(2)Judging from the classification of Taobao shops:the distribution of the quantity and quality of agricultural products,and wholesale and retail stores is largest,and their spatial distribution is the most similar to that of integrated type stores.(3)The spatial correlation pattern of the quantity and quality of Taobao shops is more similar.Two hot spot clusters and three cold spot clusters are formed in quantity.Hot spot clusters are located in the central part of Zhengzhou City in central Henan Province and near Nanyang in the south.The cold spot agglomeration areas are distributed in the northern region centered on Hebi City and Zhoukou,Zhumadian and Xinyang metropolitan areas in the southeast.In the aspect of Taobaos quality and spatial correlation:a hot spot gathering center is formed near Zhengzhou City;the cold spot cluster area forms a large-scale cold-zone stretch zone in the south-central part of Henan Province.(4)Through the combination of quantitative and qualitative methods,the factors affecting the number of Taobao shops are mainly the level of economic development,the consumption power of residents,and the original commercial basis.The reasons for the quality of Taobao shops are mainly location advantages,sellersbusiness philosophy and regional product reputation.
引文
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[6]董国芳,张晓芳.我国电子商铺空间分布的影响因素:基于淘宝网电子商铺的研究[J].中国流通经济,2017,31(1):107-113.DONG G F,ZHANG X F.Research on the influence factors of spatial distribution of Chinas e-shops[J].China Business And Market,2017,31(1):107-113.
[7]JAVALGI R,RAMSEY R.Strategic issues of e-commerce as an alternative global distribution system[J].International Marketing Review,2001,18(4):376-391.
[8]CHUA C E H,STRAUB D W,KHOO H M,et al.The evolution of e-commerce research:A stake holder perspective[J].Journal of Electronic Commerce Research,2005,6(4):262-281.
[9]DON T,DAVID T,ALEX L.Digital capital:Harnessing the power of business webs[M].Boston:Harvard Business School Press,2000.
[10]BOSCHMA R A,WELTEVREDEN J.An evolutionary perspective on internet adoption by retailers in the Netherlands[J].Environment and Planning A,2008,40(9):2222-2237.
[11]CURRAH A.Behind the web store:The organizational and spatial evolution of multichannel retailing in Toronto[J].Environment and Planning A,2002,34(8):1411-1442.
[12]LENZ B,LULEY T,BITZER W.Will electronic commerce help to reduce traffic in agglomeration area[C]//Transportation Research Board Annual Meeting,Washington D.C.,2003.
[13]FARAG S,WELTEVREDEN J,RIETBERGEN TV,et al.E-shopping in the netherlands:Does geography matter[J].Environment and Planning B,2006,33(1):59-74.
[14]FARAG S,SCHWANEN T,DIJST M,et al.Shopping online and/or in-store?A structural equation model of the relationships between e-shopping and in-store shopping[J].Transportation Research Part A:Policy and Practice,2007,41(2):125-141.
[15]LGLESIAS-PRADAS S,PASCUAL-MIGUEL F,HERNANDEZ-GARCIA A,et al.Barriers and drivers for non-shoppers in B2Ce-commerce:A latent class exploratory analysis[J].Computers in Human Behavior,2013(29):314-322.
[16]REN F,KWAN M P.The impact of geographic context on e-shopping behavior[J].Environment and Planning B,2009,36(2):262-278.
[17]朴春慧,安静,方美琪.C2C电子商务网站信用评价模型及算法研究[J].情报杂志,2007,26(8):105-107.PIAO C H,AN J,FANG M Q.Research on credit evaluation model and algorithm for C2Ce-commerce website[J].Journal of Information,2007,26(8):105-107.
[18]郑彦.管窥C2C电子商务的信用管理:以淘宝网为例[J].金融发展研究,2009(12):87-88.ZHENG Y.Viewing the credit management of C2Ce-commerce:Taking Taobao as an example[J].Journal of Financial Development Research,2009(12):87-88.
[19]路紫,李晓楠,杨丽花,等.基于邻域设施的中国大城市网络店铺的区位取向:以上海、深圳、天津、北京四城市为例[J].地理学报,2011,66(6):813-820.LU Z,LI X N,YANG L H,et al.Location orientation of e-shops in Chinas major cities based on neighborhood facilities:Case studies of Shanghai,Shenzhen,Tianjin and Beijing[J].Acta Geographica Sinica,2011,66(6):813-820.
[20]刘静,李佳乐,刘常瑜.农村电子商务发展带动农村经营新模式:基于江苏省“淘宝村”的案例研究[J].安徽农业科学,2015,43(20):293-295.LIU J,LI J L,LIU C Y.E-commerce and the new model of rural business management:A case study of Taobao Village in Jiangsu Province[J].Journal of Anhui Agri.Sci.,2015,43(20):293-295.
[21]王贤文,徐申萌.中国C2C淘宝网络店铺的地理分布[J].地理科学进展,2011,30(12):1564-1569.WANG X W,XU S M.Geographical distribution of C2CTaobao online stores in China[J].Progress in Geography,2011,30(12):1564-1569.
[22]王贤文,徐申萌.我国C2C电子商务的地理格局及其演化机制[J].经济地理,2011,31(7):1064-1106.WANG X W,XU S M.Spatial autocorrelation analysis of C2Ce-business in China[J].Economic Geography,2011,31(7):1064-1106.
[23]徐申萌.我国C2C电子商务地理格局研究[D].大连:大连理工大学,2013.XU S M.Spatial analysis of C2Ce-business in China[D].Dalian:Dalian University of Technology,2013.
[24]丁疆辉,吴建民,李冰洁.天猫平台入驻店铺时空格局及变化特征[J].经济地理,2017,37(11):136-144.DING J H,WU J M,LI B J.The spatio-temporal pattern of stores enter into the Tmall Platform[J].Economic Geography,2017,37(11):136-144.
[25]丁志伟,周凯月,康江江,等.中国中部C2C店铺服务质量的空间分异及其影响因素:以淘宝网5类店铺为例[J].地理研究,2016,35(6):1074-1094.DING Z W,ZHOU K Y,KANG J J,et al.The spatial differentiation and influencing factors ofthe service quality of C2Cstores in Central China:A case study of five types of Taobao online stores[J].Geographical Research,2016,35(6):1074-1094.
[26]武荣伟,周亮,康江江,等.中国县域电子商务发展空间格局及影响因素[J].干旱区资源与环境,2018,32(2):65-69.WU R W,ZHOU L,KANG J J,et al.Spatial patterns of electronic commerce development level and its factors in China[J].Journal of Arid Land Resources and Environment,2018,32(2):65-69.
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