IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i15p6643-d1449271.html
   My bibliography  Save this article

Classified Spatial Clustering and Influencing Factors of New Retail Stores: A Case Study of Freshippo in Shanghai

Author

Listed:
  • Ershen Zhang

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Yajuan Zhou

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Guojun Chen

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Guoen Wang

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

Abstract

The diversified innovative strategies adopted by the new retail format in urban spaces have significantly driven retail transformation and innovation. The combination of online platforms and physical stores provides a substantial advantage in market competition. This paper takes “Freshippo”, a typical representative of China’s new retail, as an example. Based on multi-source data and using tools such as GIS spatial analysis, statistical analysis, and geographical detectors, this study comprehensively examines the spatial clustering characteristics and influencing factors of Freshippo physical stores in Shanghai. The findings show that Freshippo has significantly expanded in the Shanghai fresh food market by innovatively opening various types of stores. However, there are substantial differences in the proportions of different types of stores, with 94% of the stores having online retail capabilities. Each offline store in the new retail format presents a multi-level “complementary” spatial distribution feature across the urban space, with distinctive clusters in the urban central districts, urban periphery areas, and outer suburban districts. The radiation range of logistics and distribution services exhibits characteristics of “central agglomeration and multi-point distribution”, providing residents with diverse and accurate services. Additionally, the comparison of multiple model results shows that the location selection of various types of new retail stores is significantly influenced by multiple factors, especially the nonlinear amplification effect of factor interactions on store agglomeration. These findings provide an important scientific reference for understanding the development of new retail formats and offer new ideas that promote the transformation and innovation of the retail industry, thereby achieving sustainable development.

Suggested Citation

  • Ershen Zhang & Yajuan Zhou & Guojun Chen & Guoen Wang, 2024. "Classified Spatial Clustering and Influencing Factors of New Retail Stores: A Case Study of Freshippo in Shanghai," Sustainability, MDPI, vol. 16(15), pages 1-29, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6643-:d:1449271
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/15/6643/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/15/6643/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hui-Ming Deanna Wang & Foo Nin Ho, 2023. "The Effects of Information Technology in Retailer Performance and Survival: The Case of Store-Based Retailers," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Moussawi-Haidar, Lama & Çömez-Dolgan, Nagihan, 2017. "Percentage rent contracts between co-stores," European Journal of Operational Research, Elsevier, vol. 258(3), pages 912-925.
    3. Roggeveen, Anne L. & Grewal, Dhruv & Schweiger, Elisa B., 2020. "The DAST Framework for Retail Atmospherics: The Impact of In- and Out-of-Store Retail Journey Touchpoints on the Customer Experience," Journal of Retailing, Elsevier, vol. 96(1), pages 128-137.
    4. Cai, Ya-Jun & Lo, Chris K.Y., 2020. "Omni-channel management in the new retailing era: A systematic review and future research agenda," International Journal of Production Economics, Elsevier, vol. 229(C).
    5. Heleen Buldeo Rai & Laetitia Dablanc, 2023. "Hunting for treasure: a systematic literature review on urban logistics and e-commerce data," Transport Reviews, Taylor & Francis Journals, vol. 43(2), pages 204-233, March.
    6. Arief Helmi & Rita Komaladewi & Vita Sarasi & Ledy Yolanda, 2023. "Characterizing Young Consumer Online Shopping Style: Indonesian Evidence," Sustainability, MDPI, vol. 15(5), pages 1-12, February.
    7. Xing Peng & Guoen Wang & Guojun Chen, 2023. "Spatial Distribution of Freshippo Villages under the Digitalization of New Retail in China," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    8. Liyan Xu & Fu Li & Keqing Huang & Jing Ning, 2023. "A Two-Layer Location Choice Model Reveals What’s New in the “New Retail”," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 113(3), pages 635-657, March.
    9. Kamble, Sachin S. & Gunasekaran, Angappa & Parekh, Harsh & Joshi, Sudhanshu, 2019. "Modeling the internet of things adoption barriers in food retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 154-168.
    10. Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
    11. O'Driscoll, Conor & Crowley, Frank & Doran, Justin & McCarthy, Nóirín, 2022. "Retail sprawl and CO2 emissions: Retail centres in Irish cities," Journal of Transport Geography, Elsevier, vol. 102(C).
    12. Ershen Zhang & Zhipeng Wang & Guojun Chen & Guoen Wang & Yajuan Zhou & Pengliang Hu & Haijuan Zhao, 2023. "Spatial-Temporal Evolution Patterns and Influencing Factors of Hotels in Yellow River Basin from 2012 to 2022," Land, MDPI, vol. 12(4), pages 1-27, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    2. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    3. Aydinli, Aylin & Lamey, Lien & Millet, Kobe & ter Braak, Anne & Vuegen, Maya, 2021. "How Do Customers Alter Their Basket Composition When They Perceive the Retail Store to Be Crowded? An Empirical Study," Journal of Retailing, Elsevier, vol. 97(2), pages 207-216.
    4. Catalina Amuedo-Dorantes & Neeraj Kaushal & Ashley N. Muchow, 2021. "Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1445-1472, October.
    5. Jaravel, Xavier & O'Connell, Martin, 2020. "Real-time price indices: Inflation spike and falling product variety during the Great Lockdown," Journal of Public Economics, Elsevier, vol. 191(C).
    6. Hosseini Dehshiri, Seyyed Jalaladdin & Amiri, Maghsoud, 2023. "Evaluating the risks of the internet of things in renewable energy systems using a hybrid fuzzy decision approach," Energy, Elsevier, vol. 285(C).
    7. Jinjing Yang & Cong Cao & Chensang Ye & Yangyan Shi, 2022. "Effects of Interface Design and Live Atmosphere on Consumers’ Impulse-Buying Behaviour from the Perspective of Human–Computer Interaction," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    8. Cambra-Fierro, Jesús & Polo-Redondo, Yolanda & Trifu, Andreea, 2021. "Short-term and long-term effects of touchpoints on customer perceptions," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    9. Hu, Jianhao & Zhang, Xuan & Chen, Hanyu(Yuki) & Li, Wanyue, 2024. "When it rains, it pours? The impact of weather on customer returns in the brick-and-mortar retail store," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    10. Natalie Cox & Peter Ganong & Pascal Noel & Joseph Vavra & Arlene Wong & Diana Farrell & Fiona Greig & Erica Deadman, 2020. "Initial Impacts of the Pandemic on Consumer Behavior: Evidence from Linked Income, Spending, and Savings Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 35-82.
    11. Pappas, Nikolaos & Caputo, Andrea & Pellegrini, Massimiliano Matteo & Marzi, Giacomo & Michopoulou, Eleni, 2021. "The complexity of decision-making processes and IoT adoption in accommodation SMEs," Journal of Business Research, Elsevier, vol. 131(C), pages 573-583.
    12. Christian Homburg & Moritz Tischer, 2023. "Customer journey management capability in business-to-business markets: Its bright and dark sides and overall impact on firm performance," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1046-1074, September.
    13. Gao, Mengjia & Huang, Lin, 2021. "Quality of channel integration and customer loyalty in omnichannel retailing: The mediating role of customer engagement and relationship program receptiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    14. Tran, Nhu & Uzmanoglu, Cihan, 2023. "Reprint of: COVID-19, lockdowns, and the municipal bond market," Journal of Banking & Finance, Elsevier, vol. 147(C).
    15. Ye, Yuchen & Yang, Yikai & Huang, Qi, 2023. "Identifying and examining the role of pop-up store design: A mixed-methods study," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    16. Sumedha Gupta & Kosali I. Simon & Coady Wing, 2020. "Mandated and Voluntary Social Distancing During The COVID-19 Epidemic: A Review," NBER Working Papers 28139, National Bureau of Economic Research, Inc.
    17. Lin, Chia-Yang & Chau, Ka Yin & Tran, Trung Kien & Sadiq, Muhammad & Van, Le & Hien Phan, Thi Thu, 2022. "Development of renewable energy resources by green finance, volatility and risk: Empirical evidence from China," Renewable Energy, Elsevier, vol. 201(P1), pages 821-831.
    18. Tagashira, Takumi, 2022. "Information effects of warehouse automation on sales in omnichannel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    19. Ka Shing Cheung & Chung Yim Yiu & Chuyi Xiong, 2021. "Housing Market in the Time of Pandemic: A Price Gradient Analysis from the COVID-19 Epicentre in China," JRFM, MDPI, vol. 14(3), pages 1-17, March.
    20. Xueqi Wu & Zhi‐Long Chen, 2022. "Fulfillment scheduling for buy‐online‐pickup‐in‐store orders," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2982-3003, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6643-:d:1449271. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.