我国淘宝村的空间组织与地理根植性
|
摘要
以2015年我国淘宝村为研究对象,考察其空间分布特征与空间组织模式,发现其具有地理根植性;以经营商品的特殊性为切入点,经由"成本-价格"分析确定其地理根植性,最后则通过产业根植性给出根源性解释。研究发现:淘宝村在国家、地区、省、市、县和乡镇六个层面都呈非均衡分布,且具有显著集聚化特征;淘宝村符合由两种空间形态、两种流态和五种主体构建的网络购物空间组织模式框架,且可划分为自产自销、村内生产、一般村外生产、村外生产与专业市场结合等4种类型;淘宝村经营商品的特殊性,即本地绝对优势产品和成本优势产品是其在全国竞争中胜出和存在的关键;淘宝村经营商品的自然根植性、社会根植性和复合根植性是其地理根植性的根源。
Based on the data of "Taobao Village" in 2015, we used spatial analysis and logical deduction to carry out our research. Firstly, we analyzed spatial distribution and spatial organization pattern of Taobao villages. Secondly, we used the cost-price analysis to find that geographic embeddedness exists. In the final part, we found out the source of geographic embeddedness is the industry embeddedness of Taobao Village products. This study found that, the distribution of Taobao Village is uneven and have obvious cluster characteristics; the spatial organization patterns of online shopping involve two space forms, two flows and five main bodies. According to the access to products and the distribution of the producers, we summarized four spatial organization patterns of Taobao Village: products produced and sold by sellers,products produced by their own village's factories, products produced by their surrounding villages and without professional market, products produced by their surrounding villages and professional market offer them to sellers,products which Taobao villages sell are what have absolute advantage in their region or what are more competi1 tive at their costs. The sources of Taobao Village products' geographic embeddedness are natural embeddedness of Taobao Village, social embeddedness of Taobao Village and the combination embeddedness.
Based on the data of "Taobao Village" in 2015, we used spatial analysis and logical deduction to carry out our research. Firstly, we analyzed spatial distribution and spatial organization pattern of Taobao villages. Secondly, we used the cost-price analysis to find that geographic embeddedness exists. In the final part, we found out the source of geographic embeddedness is the industry embeddedness of Taobao Village products. This study found that, the distribution of Taobao Village is uneven and have obvious cluster characteristics; the spatial organization patterns of online shopping involve two space forms, two flows and five main bodies. According to the access to products and the distribution of the producers, we summarized four spatial organization patterns of Taobao Village: products produced and sold by sellers,products produced by their own village's factories, products produced by their surrounding villages and without professional market, products produced by their surrounding villages and professional market offer them to sellers,products which Taobao villages sell are what have absolute advantage in their region or what are more competi1 tive at their costs. The sources of Taobao Village products' geographic embeddedness are natural embeddedness of Taobao Village, social embeddedness of Taobao Village and the combination embeddedness.
引文
[1]孙中伟,王杨.信息与通信地理学的学科性质、发展历程与研究主题.地理科学进展,2013,32(8):1266-1275.
[2]孙中伟,张淑媛,韦锐,等.Facebook注册用户的空间分布特征与影响因素.世界地理研究,2016,25(5):101-110.
[3]Farag S,Weltevreden J,Van Rietbergen T,et al.E-shopping in the Netherlands:Does geography matter.Environment and Planning B,2006,33(1):59-74.
[4]Parker B,Weber R.Second-hand spaces:restructuring retail geographies in an era of e-commerce.Urban Geography,2013,34(8):1096-1118.
[5]Weltevreden J W J,Van Rietbergen T.The implications of e-shopping for in-store shopping at various shopping locations in the Netherlands.Environment and Planning B,2009,36(2):279-299.
[6]Ren F,Kwan M P.The impact of geographic context on e-shopping behavior.Environment and Planning B,2009,36(2):262-278.
[7]Clarke G,Thompson C,Birkin M.The emerging geography of e commerce in British retailing.Regional Studies,Regional Science,2015,2(1):371-391.
[8]Cao X Y.The relationships between e-shopping and store shopping in the shopping process of search goods.Transportation Research Part A,2012,46(7):993-1002.
[9]曾思敏,陈忠暖.国外网上零售商业空间及其影响效应研究综述.人文地理,2013,28(1):36-42.
[10]曾思敏,陈忠暖.信息时代我国电子商铺区位取向的实证分析.人文地理,2011,26(5):88-93.
[11]韩钰,杜建会,郭鹏飞.基于SPSS的中国网络团购市场发展趋势及其区域差异研究[J].经济地理,2011,31(10):1660-1655.
[12]席广亮,甄峰,张敏,等.网络消费时空演变及区域联系特征研究--以京东商城为例.地理科学,2015,35(11):1372-1380.
[13]俞金国,王丽华,连显淼.电子商铺空间分布规律及其影响因素探究--来自淘宝网的实证.地域研究与开发,2010,29(6):34-39.
[14]王贤文,徐申萌.中国C2C淘宝网络商铺的地理分布.地理科学进展,2011,30(12):1564-1569.
[15]钟钰,邢倩,李仁杰,等.C2C商务模式下中国剪纸文化交易景观格局--以淘宝网络店铺的实证为例.地理信息科学学报,2013,15(4):560-566.
[16]刘学,甄峰,张敏,等.网上购物对个人出行与城市零售空间影响的研究进展及启示.地理科学进展,2015,34(1):48-54.
[17]席广亮,甄峰,汪侠,等.南京市居民网络消费的影响因素及空间特征.地理研究,2014,33(2):284-295.
[18]王盈盈,谢漪,王敏.精准扶贫背景下农村电商关系网络与地方营造研究.世界地理研究,2017,26(6):119-130
[19]汪明峰,卢姗.替代抑或补充:网上购物与传统购物出行的关系研究.人文地理,2012,27(3):44-49.
[20]汪明峰,卢姗,邱娟.网上购物对城市零售业空间的影响:以书店为例.经济地理,2010,30(11):1835-1840.
[21]路紫,王文婷,张秋娈,等.体验性网络团购对城市商业空间组织的影响.人文地理,2013,28(5):101-104.
[22]孙中伟,王杨,张兵,等.网络购物空间组织模式及其对零售业区位决策基本因素的影响.商业经济研究,2016,(7):53-57.
[23]汪明峰,卢姗.网上零售企业的空间组织研究-以当当网为例.地理研究,2011,30(6):965-974.
[24]朱邦耀,宋玉祥,李国柱,等.C2C电子商务模式下中国“淘宝村”的空间聚集格局与影响因素.经济地理,2016,36(4):92-98.
[25]赵军阳,丁疆辉,王新宇.不同尺度下中国“淘宝村”时空分布及演变特征.世界地理研究,2017,26(6):73-82
[26]曾亿武,邱东茂,沈逸婷,等.淘宝村形成过程研究:以东风村和军埔村为例.经济地理,2015,35(12):90-97.
[27]阿里研究院.中国淘宝村研究报告(2015).2015-12-24[2015-12-30].http://i.aliresearch.com/img/20151224/20151224230229.pdf.
[28]刁贝娣,陈昆仑,丁镭,等.中国淘宝村的空间分布格局及其影响因素.热带地理,2017,37(1):58-67.
[2]孙中伟,张淑媛,韦锐,等.Facebook注册用户的空间分布特征与影响因素.世界地理研究,2016,25(5):101-110.
[3]Farag S,Weltevreden J,Van Rietbergen T,et al.E-shopping in the Netherlands:Does geography matter.Environment and Planning B,2006,33(1):59-74.
[4]Parker B,Weber R.Second-hand spaces:restructuring retail geographies in an era of e-commerce.Urban Geography,2013,34(8):1096-1118.
[5]Weltevreden J W J,Van Rietbergen T.The implications of e-shopping for in-store shopping at various shopping locations in the Netherlands.Environment and Planning B,2009,36(2):279-299.
[6]Ren F,Kwan M P.The impact of geographic context on e-shopping behavior.Environment and Planning B,2009,36(2):262-278.
[7]Clarke G,Thompson C,Birkin M.The emerging geography of e commerce in British retailing.Regional Studies,Regional Science,2015,2(1):371-391.
[8]Cao X Y.The relationships between e-shopping and store shopping in the shopping process of search goods.Transportation Research Part A,2012,46(7):993-1002.
[9]曾思敏,陈忠暖.国外网上零售商业空间及其影响效应研究综述.人文地理,2013,28(1):36-42.
[10]曾思敏,陈忠暖.信息时代我国电子商铺区位取向的实证分析.人文地理,2011,26(5):88-93.
[11]韩钰,杜建会,郭鹏飞.基于SPSS的中国网络团购市场发展趋势及其区域差异研究[J].经济地理,2011,31(10):1660-1655.
[12]席广亮,甄峰,张敏,等.网络消费时空演变及区域联系特征研究--以京东商城为例.地理科学,2015,35(11):1372-1380.
[13]俞金国,王丽华,连显淼.电子商铺空间分布规律及其影响因素探究--来自淘宝网的实证.地域研究与开发,2010,29(6):34-39.
[14]王贤文,徐申萌.中国C2C淘宝网络商铺的地理分布.地理科学进展,2011,30(12):1564-1569.
[15]钟钰,邢倩,李仁杰,等.C2C商务模式下中国剪纸文化交易景观格局--以淘宝网络店铺的实证为例.地理信息科学学报,2013,15(4):560-566.
[16]刘学,甄峰,张敏,等.网上购物对个人出行与城市零售空间影响的研究进展及启示.地理科学进展,2015,34(1):48-54.
[17]席广亮,甄峰,汪侠,等.南京市居民网络消费的影响因素及空间特征.地理研究,2014,33(2):284-295.
[18]王盈盈,谢漪,王敏.精准扶贫背景下农村电商关系网络与地方营造研究.世界地理研究,2017,26(6):119-130
[19]汪明峰,卢姗.替代抑或补充:网上购物与传统购物出行的关系研究.人文地理,2012,27(3):44-49.
[20]汪明峰,卢姗,邱娟.网上购物对城市零售业空间的影响:以书店为例.经济地理,2010,30(11):1835-1840.
[21]路紫,王文婷,张秋娈,等.体验性网络团购对城市商业空间组织的影响.人文地理,2013,28(5):101-104.
[22]孙中伟,王杨,张兵,等.网络购物空间组织模式及其对零售业区位决策基本因素的影响.商业经济研究,2016,(7):53-57.
[23]汪明峰,卢姗.网上零售企业的空间组织研究-以当当网为例.地理研究,2011,30(6):965-974.
[24]朱邦耀,宋玉祥,李国柱,等.C2C电子商务模式下中国“淘宝村”的空间聚集格局与影响因素.经济地理,2016,36(4):92-98.
[25]赵军阳,丁疆辉,王新宇.不同尺度下中国“淘宝村”时空分布及演变特征.世界地理研究,2017,26(6):73-82
[26]曾亿武,邱东茂,沈逸婷,等.淘宝村形成过程研究:以东风村和军埔村为例.经济地理,2015,35(12):90-97.
[27]阿里研究院.中国淘宝村研究报告(2015).2015-12-24[2015-12-30].http://i.aliresearch.com/img/20151224/20151224230229.pdf.
[28]刁贝娣,陈昆仑,丁镭,等.中国淘宝村的空间分布格局及其影响因素.热带地理,2017,37(1):58-67.