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Identifying the Geography and Determinants of O2O Online Retailers in Megacity in Central China: A Case Study of Zhengzhou City

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Abstract

In recent years, O2O e-commerce, represented by online group-buying, has developed vigorously, which had significant impacts on urban commercial space. Zhengzhou City is a rising national central city in China, and its e-commerce development level is ahead, but relevant researches are rare. Therefore, the data of online retailers of Meituan.com was collected and combined with Baidu map and Baidu heat map data. Then, we adopted the methods such as spatial statistics and geodetector to explore the geography and determinants of O2O online retailers in Zhengzhou urban area. The main conclusions are 1) The spatial development of O2O online retailers is characterized by significant global high-value agglomeration. 2) The agglomeration areas of different types of O2O online retailers are different. Most of them are concentrated in the old urban area within the Third Ring Road of Zhengzhou City, forming five comprehensive agglomeration areas. 3) The areas with the high e-commerce development level are mainly concentrated in the northeast and southwest of the x-shaped region formed by the intersection of Lianyungang-Lanzhou and Beijing-Guangzhou railways. Erqi Square and Guomao 360 Plaza are at the highest development level, followed by Zhongyuan Wanda Plaza and Daxue Middle Road. The development level at other areas is relatively low. 4) Zhengzhou’s O2O commercial pattern is highly dependent on physical business. The population distribution, especially the population distribution during the nightlife period, plays a vital role in its spatial development, followed by accessibility. The influences of physical distance are slightly larger than that of time cost, but the difference between them is little. In addition, travelling costs have the least impact. This paper could provide certain references for urban commercial planning.

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References

  • Anderson W P, Chatterjee L, Lakshmanan T R, 2003. E-commerce, transportation, and economic geography. Growth and Change, 34(4): 415–132. doi: https://doi.org/10.1046/j.0017-4815.2003.00228.x

    Article  Google Scholar 

  • Calderwood E, Freathy P, 2014. Consumer mobility in the Scottish isles: the impact of internet adoption upon retail travel patterns. Transportation Research Part A: Policy and Practice, 59: 192–203. doi: https://doi.org/10.1016/j.tra.2013.11.012

    Google Scholar 

  • Cao X J, 2012. The relationships between e-shopping and store shopping in the shopping process of search goods. Transportation Research Part A: Policy and Practice, 46(7): 993–1002. doi: https://doi.org/10.1016/j.tra.2012.04.007

    Google Scholar 

  • Chen Miaorong, 2019. Study on the Differences and Influencing Factors of Community O2O Online and Physical Commercial Spatial Distribution in Guangzhou. Guangzhou: South China University of Technology. (in Chinese)

    Google Scholar 

  • Comi A, Nuzzolo A, 2016. Exploring the relationships between e-shopping attitudes and urban freight transport. Transportation Research Procedia, 12: 399–412. doi: https://doi.org/10.1016/j.trpro.2016.02.075

    Article  Google Scholar 

  • Dahe Daily, 2019. Zhengzhou’s cross-border e-commerce transactions in 2018 amounted to $8.64 billion, ranking third in China. Available at: https://henan.qq.com/a/20190511/001859.htm. Cited 11 May 2019.

  • Ding Zhiwei, Zhou Kaiyue, Kang Jiangjiang et al., 2016. The spatial differentiation and influencing factors of the service quality of C2C stores in Central China: a case study of five types of Taobao online stores. Geographical Research, 35(6): 1074–1095. (in Chinese)

    Google Scholar 

  • Farag S, Dijst M, Lanzendorf M, 2003. Exploring the use of e-shopping and its impact on personal travel behavior in the Netherlands. Transportation Research Record, 1858(1): 47–54. doi: https://doi.org/10.3141/1858-07

    Article  Google Scholar 

  • Farag S, Schwanen T, Dijst M, 2005. Empirical investigation of online searching and buying and their relationship to shopping trips. Transportation Research Record, 1926(1): 242–251. doi: https://doi.org/10.1177/0361198105192600128

    Article  Google Scholar 

  • Farag S, Weltevreden J, Van Rietbergen T et al., 2006a. E-shopping in the Netherlands: does geography matter? Environment and Planning B: Planning and Design, 33(1): 59–74. doi: https://doi.org/10.1068/b31083

    Article  Google Scholar 

  • Farag S, Krizek K J, Dijst M, 2006b. E-shopping and its relationship with in-store shopping: empirical evidence from the Netherlands and the USA. Transport Reviews, 26(1): 43–61. doi: https://doi.org/10.1080/01441640500158496

    Article  Google Scholar 

  • Farag S, Schwanen T, Dijst M et al., 2007. Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping. Transportation Research Part A: Policy and Practice, 41(2): 125–141. doi: https://doi.org/10.1016/j.tra.2006.02.003

    Google Scholar 

  • Hao Feilong, Guan Haoming, Wang Shijun, 2016. Study on the influencing factors and spatial distribution of electronic commerce development level in China’s cities. Economic Geography, 36(2): 1–10. (in Chinese)

    Google Scholar 

  • Getis A, Ord J K, 1992. The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3): 189–206. doi: https://doi.org/10.1111/j.1538-4632.1992.tb000261.x

    Article  Google Scholar 

  • Krizek K J, Li Y, Handy S L, 2005. Spatial attributes and patterns of use in household-related information and communications technology activity. Transportation Research Record, 1926(1): 252–259. doi: https://doi.org/10.1177/0361198105192600129

    Article  Google Scholar 

  • Liu W D, Dicken P, Yeung H W C, 2004. New information and communication technologies and local clustering of firms: a case study of the Xingwang Industrial Park in Beijing. Urban Geography, 25(4): 390–407. doi: https://doi.org/10.2747/0272-3638.25.4.390

    Article  Google Scholar 

  • Lu Zi, Li Xiaonan, Yang Lihua et al., 2011. Location orientation of e-shops in China’s major cities based on neighborhood facilities: case studies of Shanghai, Shenzhen, Tianjin and Beijing. Acta Geographica Sinica, 66(6): 813–820. (in Chinese)

    Google Scholar 

  • Lu Zi, Wang Wenting, Zhang Qiuluan et al., 2013. The impact of experiential online group-buying on the urban commercial spatial organization. Human Geography, 28(5): 101–104, 138. (in Chinese)

    Google Scholar 

  • Mokhtarian P L, 2004. A conceptual analysis of the transportation impacts of B2C e-commerce. Transportation, 31(3): 257–284. doi: https://doi.org/10.1023/b:port.0000025428.64128.d3

    Article  Google Scholar 

  • Qin Xiao, Zhen Feng, Zhu Shoujia et al., 2014. Spatial pattern of catering industry in nanjing urban area based on the degree of public praise from internet: a case study of Dianping.com. Scientia Geographica Sinica, 34(7): 810–817. (in Chinese)

    Google Scholar 

  • Mitchell A, 2005. The ESRI Guide to GIS Analysis, Volume 2. Redlands: ESRI Press, 102–136.

    Google Scholar 

  • Ren F, Kwan M P, 2009. The impact of geographic context on e-shopping behavior. Environment and Planning B: Planning and Design, 36(2): 262–278. doi: https://doi.org/10.1068/b34014t

    Article  Google Scholar 

  • Shi Kunbo, Yang Yongchun, Bai Shuo et al., 2016a. Spatial characteristics of the experiential online group-buying market in Chengdu. Geographical Research, 35(1): 108–122. (in Chinese)

    Google Scholar 

  • Shi Kunbo, Yang Yongchun, Yang Xin’ao et al., 2016b. Does time dictate the location of e-commerce business? A study of O2O businesses in Chengdu, China. Acta Geographica Sinica, 71(3): 500–514. (in Chinese)

    Google Scholar 

  • Shi Kunbo, 2017. Spatial Reconstruction of Urban Physical Commerce of China in Information Era: Based on the Perspective of E-Commerce. Lanzhou: Lanzhou University. (in Chinese)

    Google Scholar 

  • Shi Kunbo, Yang Yongchun, Bai Shuo et al., 2018. Innovation diffusion hypothesis or efficiency hypothesis: spatial penetration of online-to-offline e-commerce in China based on Meituan.com. Geographical Reserach, 37(4): 783–796. (in Chinese)

    Google Scholar 

  • Shi Xiang, Wang Shijun, Hao Feilong et al., 2019a. The spatial distribution and formation of takeaway O2O catering industry based on entity restaurants comparison in Changchun. Human Geography, 34(2): 80–89. (in Chinese)

    Google Scholar 

  • Shi K B, De Vos J, Yang Y C et al., 2019b. Does e-shopping replace shopping trips? Empirical evidence from Chengdu, China. Transportation Research Part A: Policy and Practice, 122: 21–33. doi: https://doi.org/10.1016/j.tra.2019.01.027

    Google Scholar 

  • Song Zhouying, Yu Yang, Zhu Qiaoling et al., 2019. Spatial characteristics and influencing factors of E-shopping development in China’s counties. Geographical Research, 38(12): 2997–3009. (in Chinese)

    Google Scholar 

  • Wang J F, Li X H, Christakos G et al., 2010. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region, China. International Journal of Geographical Information Science, 24(1): 107–127. doi: https://doi.org/10.1080/13658810802443457

    Article  Google Scholar 

  • Wang Jinfeng, Xu Chengdong, 2017. Geodetector: principle and prospective. Acta Geographica Sinica, 72(1): 116–134. (in Chinese)

    Google Scholar 

  • Wang Jianzhu, 2014. Spatial development trends of urban service industries in the information times: a case study of Beijing’s catering industry. Urban Problems, (11): 90–95. (in Chinese)

    Google Scholar 

  • Wang Mingfeng, Lu Shan, 2011. Exploring the spatial organization of online retailing: a case study of Dangdang.com. Geographical Research, 30(6): 965–976. (in Chinese)

    Google Scholar 

  • Wang Jinfeng, Liao Yilan, Liu Xin, 2019. Tutorial on Spatial Data Analysis (Second Edition). Beijing: Science Press, 30–45. (in Chinese)

    Google Scholar 

  • Wang Mingfeng, Lu Shan, Yuan He, 2013. Influences of online shopping on consumer behaviors at different shopping locations: a comparative study on city center and suburb. City Planning Review, 37(11): 84–88, 95. (in Chinese)

    Google Scholar 

  • Weltevreden J W J, Atzema O A L C, 2006. Cyberspace meets high street: adoption of click-and-mortar strategies by retail outlets in city centers. Urban Geography, 27(7): 628–650. doi: https://doi.org/10.2747/0272-3638.27.7.628

    Article  Google Scholar 

  • Weltevreden J W J, Atzema O A L C, Frenken K et al., 2008. The geography of Internet adoption by independent retailers in the Netherlands. Environment and Planning B: Planning and Design, 35(3): 443–460. doi: https://doi.org/10.1068/b33032

    Article  Google Scholar 

  • Wu Kangmin, Zhang Hongou, Wang Yang et al., 2016. Identify of the multiple types of commercial center in Guangzhou and its spatial pattern. Progress in Geography, 35(8): 963–974. (in Chinese). doi: https://doi.org/10.18306/dlkxjz.2016.08.005

    Article  Google Scholar 

  • Xi Guangliang, Zhen Feng, Wang Xia et al., 2014. Study on the influencing factors and spatial characteristics of residents’ online consumption in Nanjing. Geographical Research, 33(2): 86–97. (in Chinese)

    Google Scholar 

  • Xue Shuyan, Li Gang, Yang Lan et al., 2019. Spatial pattern and influencing factor analysis of attended collection and delivery points in Changsha City, China. Chinese Geographical Science, 29(6): 1078–1094. doi: https://doi.org/10.1007/s11769-019-1086-3

    Article  Google Scholar 

  • Yu W H, Ai T H, Shao S W, 2015. The analysis and delimitation of Central Business District using network kernel density estimation. Journal of Transport Geography, 45: 32–47. doi: https://doi.org/10.1016/j.jtrangeo.2015.04.008

    Article  Google Scholar 

  • Zeng Simin, Chen Zhongnuan, 2013. A review on spatial organization of e-retail and its impact abroad. Human Geography, 28(1): 36–42. (in Chinese)

    Google Scholar 

  • Zhang Yiji, Zhen Feng, Zhang Yiqun, 2019. Adoption of O2O strategies by community retailers in Nanjing. Economic Geography, 39(11): 104–112. (in Chinese)

    Google Scholar 

  • Zhen F, Du X J, Cao J et al., 2018. The association between spatial attributes and e-shopping in the shopping process for search goods and experience goods: evidence from Nanjing. Journal of Transport Geography, 66: 291–299. doi: https://doi.org/10.1016/j.jtrangeo.2017.11.007

    Article  Google Scholar 

  • Zhengzhou Municipal Bureau Statistics, 2019a. The basic situation of Zhengzhou’s economic operation in 2018. Available at: http://www.zhengzhou.gov.cn/news4/91478.jhtml. Cited 15 Feb 2019.

  • Zhao Hongbo, Yu Difei, Miao Changhong et al., 2018. The location distribution characteristics and influencing factors of cultural facilities in Zhengzhou based on POI data. Scientia Geographica Sinica, 38(9): 1525–1534. (in Chinese). doi: https://doi.org/10.13249/j.cnki.sgs.2018.09.016

    Google Scholar 

  • Zhengzhou Municipal Bureau Statistics, 2019b. The bulletin of Zhengzhou population sampling survey in 2018. Available at: http://www.ha.stats.gov.cn/2019/06-11/1367947.html. Cited 13 Jun 2019.

  • Zhengzhou Municipal Bureau Statistics, 2019c. Zhengzhou Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)

    Google Scholar 

  • Zhengzhou Municipal People’s Government, 2019. Announcement on the scale of Zhengzhou’s urban built-up area in 2018. Available at: http://public.zhengzhou.gov.cn/D0104X/295260.jhtml. Cited 12 Apr 2019.

  • Zhou Chunshan, Jin Wanfu, Zhang Guojun, 2018. Impact of shipping distance on online retailers’ sales: a case study of Maiyang on tmall. Chinese Geographical Science, 28(2): 261–273. doi: https://doi.org/10.1007/s11769-018-0945-7

    Article  Google Scholar 

  • Zhu S Z, Chen J, 2013. The digital divide in individual e-commerce utilization in China: results from a national survey. Information Development, 29(1): 69–80. doi: https://doi.org/10.1177/0266666912450168

    Article  Google Scholar 

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Authors and Affiliations

  1. College of Civil Engineering and Architecture/Collaborative Innovation Center for Aviation Economy Development, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China

    Jinghui Qi & Shuling Zhao

  2. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China

    Jinghui Qi & Shuwen Niu

  3. School of Business, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China

    Chenxi Ye

  4. School of Economics, Lanzhou University of Finance and Economics, Lanzhou, 730101, China

    Luojia Wang

  5. College of Environment and Planning, Henan University, Kaifeng, 475004, China

    Yongna Wei

  6. College of Resource and Environment, Henan University of Economics and Law, Zhengzhou, 450046, China

    Yuzhao Wen

Authors
  1. Jinghui Qi
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  2. Shuwen Niu
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  3. Chenxi Ye
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  4. Luojia Wang
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  7. Shuling Zhao
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Correspondence to Shuwen Niu.

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Humanities and Social Sciences Research Project of the Education Department of Under the auspices of National Natural Science Foundation of China (No. 41701141), Henan Province (No. 2020-ZZJH-483, 2021-ZZJH-416), Philosophy and Social Science Project of Henan Province (No. 2019BTY011), Key Science and Technology Project of Henan Province (No. 212102310435)

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Qi, J., Niu, S., Ye, C. et al. Identifying the Geography and Determinants of O2O Online Retailers in Megacity in Central China: A Case Study of Zhengzhou City. Chin. Geogr. Sci. 31, 931–950 (2021). https://doi.org/10.1007/s11769-021-1212-x

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