The geography of online shopping in China and its key drivers
Abstract
Many studies shed light on online shopping adoption and its determinants, most of which were conducted in developed countries and focused on sociodemographic factors. However, the influence of spatial attributes remains unclear or underestimated, especially in emerging economies. China is the largest e-commerce market in terms of the number of e-shoppers and the volume of online retail sales, with a distinctive geographical pattern of e-shopping usage. This study developed a conceptual model of China’s e-shopping adoption, examined the spatial characteristics of the e-shopping usage across 1918 counties, and explored its key drivers. The findings indicate a digital divide of e-shopping in China, with counties in metropolitan areas having a relatively high online shopping index (SI) value. The counties’ online shopping levels in China decrease from the eastern coastal regions to the rural-mountainous regions in west China. This study also found that the key drivers of e-shopping adoption are the rate of urbanization, local delivery systems, and the internet connection, which indicates that geographical attributes, rather than socioeconomic problems, have to be solved for improving online shopping adoption.
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References
Anderson WP, Chatterjee L, Lakshmanan TR (2003) E-commerce, transportation, and economic geography. Growth and Change 34(4): 415–432.
Beckers J, Cárdenas I, Verhetsel A (2018) Identifying the geography of online shopping adoption in Belgium. Journal of Retailing and Consumer Services 45: 33–41.
Beilock R, Dimitrova DV (2003) An exploratory model of inter-country internet diffusion. Telecommunications Policy 27(3–4): 237–252.
Cao X (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.
Cao X, Chen Q, Choo S (2013) Geographic distribution of e-shopping. Transportation Research Record: Journal of the Transportation Research Board 2383: 18–26.
Casas J, Zmud J, Bricka S (2001) Impact of shopping via Internet on travel for shopping purposes. Paper presented at the 80th Annual Meeting of the Transportation Research Board, Washington DC, USA.
China Internet Network Information Center (2020) Statistical report on internet development in China. Available at: www.cnnic.net.cn (accessed 20 April 2020).
China National Statistic Bureau (2020) National economic and social development statistics bulletin of China in 2019. Available at: www.stats.gov.cn/tjsj/zxfb/202002/t20200228_1728913.html (accessed 5 April 2020)
Cho J, Ozment J, Sink H (2008) Logistics capability, logistics outsourcing and firm performance in an e-commerce market. International Journal of Physical Distribution & Logistics Management 38(5): 336–359.
Clarke G, Thompson C, Birkin M (2015) The emerging geography of e-commerce in British retailing. Regional Studies, Regional Science 2(1): 370–390.
Cruz JF, Oliveira T, Bacao F (2018) The global digital divide: Evidence and drivers. Journal of Global Information Management 26(2): 1–26.
Dewan S, Riggins FJ (2005) The digital divide: Current and future research directions. Journal of the Association for Information Systems 6(12): 298–337.
Dutta P, Mishra A, Khandelwal S, et al. (2020) A multiobjective optimization model for sustainable reverse logistics in Indian E-commerce market. Journal of Cleaner Production 249: 119348.
eMarketer (2015) China Ecommerce 2015: Market update, report. New York, NY: eMarketer.
Farag S, Krizek KJ, Dijst MJ (2006) E-shopping and its relationship with in-store shopping: Empirical evidence from The Netherlands and the USA. Transport Reviews 26(1): 43–61.
Farag S, Schwanen T, Dijst MJ, 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.
Farag S, Weltevreden J, Van Rietbergen T, et al. (2006) E-Shopping in The Netherlands: Does geography matter? Environment and Planning B: Planning and Design 33(1): 59–74.
Fernie J, Sparks L, McKinnon AC (2010) Retail logistics in the UK: Past, present and future. International Journal of Retail & Distribution Management 38: 894–914.
Ferrell CE (2004) Home-based teleshoppers and shopping travel: Do teleshoppers travel less? Transportation Research Record: Journal of the Transportation Research Board 1894: 241–248.
Fong M (2009) Digital divide between urban and rural regions in China. The Electronic Journal of Information Systems in Developing Countries 36(6): 1–12.
Fuchs C (2009) The role of income inequality in a multivariate cross-national analysis of the digital divide. Social Science Computer Review 27(1): 41–58.
Giuffrida M, Mangiarancina R, Perego A, et al. (2017) Cross-border B2C e-commerce to greater China and the role of logistics: A literature review. International Journal of Physical Distribution & Logistics Management 47(9): 772–795.
Gonzalez-Feliu J, Ambrosini C, Routhier J (2012) New Trends on Urban Goods Movement: Modelling and Simulation of e-Commerce Distribution. European Transport 50: 1–23.
Hasan B (2010) Exploring gender differences in online shopping attitude. Computers in Human Behavior 26(4): 597–601.
He P, Zhang S, He C (2019) Impacts of logistics resource sharing on B2C E-commerce companies and customers. Electronic Commerce Research and Applications 34: 100820.
Hood N, Urquhart R, Newing A,, et al. (2020) Sociodemographic and Spatial Disaggregation of e-Commerce Channel Use in the Grocery Market in Great Britain. Journal of Retailing and Consumer Services 50: 102076.
Jaller M, Pahwa A (2020) Evaluating Theenvironmental Impacts of Online Shopping: A Behavioral and Transportationapproach. Transportation Research Part D 80: 102223.
Kirby-Hawkins E, Birkin M, Clarke G (2019) An investigation into the geography of corporate e-commerce sales in the UK grocery market. Environment and Planning B: Urban Analytics and City Science 46(6): 1148–1164.
Krizek K, Li Y, Handy S (2005) Spatial Attributes and Patterns of Use in Household-Related Information and Communications Technology Activity. Ransportation Research Record: Journal of the Transportation Research Board 1926: 252–259.
Lee R, Sener N, Mokhtarian P, et al. (2017) Relationships between the Online and in-Store Shopping Frequency of Davis, California Residents. Transportation Research Part A 100: 40–52.
Lee P (2002) Behavioral model of online purchasers in e-commerce environment. Electronic Commerce Research 2(1): 75–85.
Liao Z, Cheung MT (2001) Internet-based e-shopping and consumer attitudes: An empirical study. Information & Management 38(5): 299–306.
Longley P, Webber R, Li C (2008) The UK geography of the E-Society: A national classification. Environment and Planning A: Economy and Space 40(2): 362–382.
Mavoa S, Witten K, McCreanor T, et al. (2012) GIS based destination accessibility via public transit and walking in Auckland, New Zealand. Journal of Transport Geography 20(1): 15–22.
Miguel J, Anmol P (2020) Evaluating the environmental impacts of online shopping: A behavioral and transportation approach. Transportation Research Part D-Transport and Environment 80: 102223.
Mokhtarian PL (2004) A conceptual analysis of the transportation impacts of B2C e-commerce. Transportation 31(3): 257–284.
Monica G (2019) Sustainable consumption and wellbeing: Does online shopping matter? Journal of Cleaner Production 229: 1112–1124.
Morganti E, Dablanc L, François F (2014) Final deliveries for online shopping: The deployment of pickup point networks in urban and suburban areas. Research in Transportation Business & Management 11: 23–31.
Nassir N, Hickman M, Malekzadeh A, et al. (2016) A utility-based travel impedance measure for public transit network accessibility. Transportation Research Part A: Policy and Practice 88: 26–39.
Pick J, Azari R (2011) A global model of utilization of technology based on governmental, social, economic, and business investment factors. Journal of Management Information Systems 28(1): 51–85.
Pick J, Nishida T, Zhang X (2013) Determinants of China's technology utilization and availability 2006-2009: A spatial analysis. The Information Society 29(1): 26–48.
Punakivi M, Saranen J (2001) Identifying the Success Factors in e-Grocery Home Delivery. International Journal of Retail & Distribution Management 29(4): 156–163.
Raijas A (2002) The consumer benefits and problems in the electronic grocery store. Journal of Retailing and Consumer Services 9(2): 107–113.
Ramanathan R (2010) The moderating roles of risk and efficiency on the relationship between logistics performance and customer loyalty in e-commerce. Transportation Research Part E: Logistics and Transportation Review 46(6): 950–962.
Ren F, Kwan MP (2009) The impact of geographic context on e-shopping behavior. Environment and Planning B: Planning and Design 36(2): 262–278.
Rotem-Mindali O, Weltevreden J (2013) Transport effects of e-commerce: What can be learned after years of research? Transportation 40(5): 867–885.
Sakai T, Beziat A, Heitz A (2020) Location factors for logistics facilities: Location choice modeling considering activity categories. Journal of Transport Geography 85: 102710.
Selwyn N (2004) Reconsidering Political and Popular Understandings of the Digital Divide. New Media & Society 6(3): 341–362.
Sener IN, Reeder PR (2012) An examination of behavioral linkages across ICT choice dimensions: Copula modeling of telecommuting and teleshopping choice behavior. Environment and Planning A: Economy and Space 44(6): 1459–1478.
Sim LL, Koi SM (2002) Singapore's internet shoppers and their impact on traditional shopping patterns. Journal of Retailing and Consumer Services 9(2): 115–124.
Singh R and Rosegren S (2020) Why do online grocery shoppers switch? An empirical investigation of drivers of switching in online grocery. Journal of Retailing and Consumer Services 53: 101962.
Song Z, Liu W, Ma L, et al. (2014) Measuring spatial differences of informatization in China. Chinese Geographical Science 24(6): 717–731.
Song Z, Wang C, Bergmann L (2020) China’s prefectural digital divide: Spatial analysis and multivariate determinants of ICT diffusion. International Journal of Information Management 52: 102072.
Statista (2020) Global retail e-commerce sales 2014-2023. Published by J. Clement. Available at: www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/(accessed 19 March 2020).
Swinyard W, Smith S (2003) Why People (Don't) Shop Online: A Lifestyle Study of the Internet Consumer. Psychology and Marketing 20(7): 567–597.
Taniguchi E, Kakimoto T (2003) Effects of e-Commerce on Urban Distribution and the Environment. Journal of Eastern Asia Society for Transportation Studies 5: 2355–2366.
Van Dijk J (2006) Digital divide research, achievements and shortcomings. Poetics 34(4–5): 221–235.
Vrechopoulos AP, Siomkos GJ, Doukidis GI (2001) Internet shopping adoption by Greek consumers. European Journal of Innovation Management 4(3): 142–152.
Weltevreden JW (2007) Substitution or complementarity? How the internet changes city Centre shopping. Journal of Retailing and Consumer Services 14(3): 192–207.
Weltevreden JW, Atzema O, 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.
Weltevreden JW, Van Rietbergen T (2009) The implications of e-shopping for in-store shopping at various shopping locations in The Netherlands. Environment and Planning B: Planning and Design 36(2): 279–299.
Yang Z (2017) Geographies of Click-Consumption Power in China. Environment Andplanning A 49(1): 6–8.
Yang Y, Hu X, Qu Q, et al. (2013) Roots of tomorrow's digital divide: Documenting computer use and internet access in China's elementary schools today. China & World Economy 21(3): 61–79.
Zhai Q, Cao X, Zhen F (2019) Relationshipbetween Online Shopping and Store Shopping in the Shopping Process: EmpiricalStudy for Search Goods and Experience Goods in Nanjing, China. Transportation Research Record 2673(11): 38–47.
Zhen F, Du X, Cao J, et al. (2018) Theassociation between Spatial Attributes and e-Shopping in the Shopping Processfor Search Goods and Experience Goods: Evidence from Nanjing. Journal Oftransport Geography 66: 291–299.
Zhou Y, Wang X (2014) Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data. Transportation Research Part A: Policy and Practice 70: 1–9.
Zhu S, Chen J (2016) The digital divide in individual e-commerce utilization in China: Results from a national survey. Information Development 29(1): 69–80.
Biographies
Zhouying Song is a Professor of Economic Geography at the Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Science (CAS). Her research interests mainly focus on the regional development under the “flow spaces,” including trade flow, information flow, and production flow. She conceptually draws on location theory, institutional economics, and global production network approaches to understand the evolution of global–local relationships at different geographical scales.
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Article first published online: March 25, 2021
Issue published: January 2022
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Published online: March 25, 2021
Issue published: January 2022
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This article was published in Environment and Planning B: Urban Analytics and City Science.
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