IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v58y2021ics0969698920313102.html
   My bibliography  Save this article

The association between spatial attributes and neighborhood characteristics based on Meituan take-out data: Evidence from shanghai business circles

Author

Listed:
  • Shi, Yishao
  • Tao, Tianhui
  • Cao, Xiangyang
  • Pei, Xiaowen

Abstract

The success of a city increasingly depends on its role as a consumer centre. The new form of consumption is increasingly playing the leading role in urban consumption growth. Based on Meituan take-out data, this paper investigates quantitatively the spatial differences and explores the associations of the number of take-out with neighborhood characteristics on the scale of business circles in Shanghai by spatial econometric model. The results show that: (1) the average order quantity and consumption amount have the gradient consumption trend of the inner ring > the middle ring > the outer ring > the suburban ring. The spatial distribution of take-out in business circles is bounded by the Huangpu River, with an obvious pattern of more in the west and less in the east. (2) Three types of food distributions, traditional take-out, fashion casual take-out and supermarket and fresh take-out within business circles have obvious differences. In many business circles, fashion and leisure food delivery is significantly higher than traditional food delivery. Supermarket and fruit and vegetable take-out is scattered among business circles and is evenly distributed around the inner ring. (3) Economic level, population concentration, office and traffic factors have significant effect on the number of take-out. In detail, the impact on the volatility of dependent variables is as follows: catering industry > the number of white collars > population density > per capita consumption > traffic facility. This study proposes that office and catering industry, multi-centre city and traffic accessibility should be further strengthened in the coordinated development of Shanghai business circles so as to improve take-out economy.

Suggested Citation

  • Shi, Yishao & Tao, Tianhui & Cao, Xiangyang & Pei, Xiaowen, 2021. "The association between spatial attributes and neighborhood characteristics based on Meituan take-out data: Evidence from shanghai business circles," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
  • Handle: RePEc:eee:joreco:v:58:y:2021:i:c:s0969698920313102
    DOI: 10.1016/j.jretconser.2020.102302
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698920313102
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2020.102302?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yu, Wenhao & Ai, Tinghua & Shao, Shiwei, 2015. "The analysis and delimitation of Central Business District using network kernel density estimation," Journal of Transport Geography, Elsevier, vol. 45(C), pages 32-47.
    2. Bonnin, Gaël, 2020. "The roles of perceived risk, attractiveness of the online store and familiarity with AR in the influence of AR on patronage intention," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    3. William P. Anderson & Lata Chatterjee & T.R. Lakshmanan, 2003. "E‐commerce, Transportation, and Economic Geography," Growth and Change, Wiley Blackwell, vol. 34(4), pages 415-432, September.
    4. Austin, S.B. & Melly, S.J. & Sanchez, B.N. & Patel, A. & Buka, S. & Gortmaker, S.L., 2005. "Clustering of fast-food restaurants around schools: A novel application of spatial statistics to the study of food environments," American Journal of Public Health, American Public Health Association, vol. 95(9), pages 1575-1581.
    5. Baier, Daniel & Rese, Alexandra, 2020. "How to increase multichannel shopping satisfaction? An adapted Kano based stage-gate approach to select new technologies," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    6. Qing Zhai & Xinyu Cao & Patricia L. Mokhtarian & Feng Zhen, 2017. "The interactions between e-shopping and store shopping in the shopping process for search goods and experience goods," Transportation, Springer, vol. 44(5), pages 885-904, September.
    7. Zhen, Feng & Du, Xiaojuan & Cao, Jason & Mokhtarian, Patricia L., 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, Elsevier, vol. 66(C), pages 291-299.
    8. Donald R. Davis & Jonathan I. Dingel & Joan Monras & Eduardo Morales, 2019. "How Segregated Is Urban Consumption?," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1684-1738.
    9. Maruyama, Masayoshi & Wu, Lihui & Huang, Lin, 2016. "The modernization of fresh food retailing in China: The role of consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 33-39.
    10. Marlies Vanhulsel & Carolien Beckx & Davy Janssens & Koen Vanhoof & Geert Wets, 2011. "Measuring dissimilarity of geographically dispersed space–time paths," Transportation, Springer, vol. 38(1), pages 65-79, January.
    11. Neil M. Coe & Neil Wrigley, 2007. "Host economy impacts of transnational retail: the research agenda," Journal of Economic Geography, Oxford University Press, vol. 7(4), pages 341-371, July.
    12. Jesse W.J. Weltevreden & Ton Van Rietbergen, 2007. "E‐Shopping Versus City Centre Shopping: The Role Of Perceived City Centre Attractiveness," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 98(1), pages 68-85, February.
    13. Sendy Farag & Jesse Weltevreden & Ton van Rietbergen & Martin Dijst & Frank van Oort, 2006. "E-Shopping in the Netherlands: Does Geography Matter?," Environment and Planning B, , vol. 33(1), pages 59-74, February.
    14. Vasilis G. Mihalopoulos, 2001. "Greek household consumption of food away from home: a microeconometric approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 28(4), pages 421-432, December.
    15. Fujie Rao, 2019. "Resilient Forms of Shopping Centers Amid the Rise of Online Retailing: Towards the Urban Experience," Sustainability, MDPI, vol. 11(15), pages 1-25, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Shanqi & Luan, Hui & Zhen, Feng & Kong, Yu & Xi, Guangliang, 2023. "Does online food delivery improve the equity of food accessibility? A case study of Nanjing, China," Journal of Transport Geography, Elsevier, vol. 107(C).
    2. Yugang Chen & Changkun Xie & Ruiyuan Jiang & Shengquan Che, 2021. "Optimization of Ecosystem Services of Shanghai Urban–Suburban Street Trees Based on Low-Carbon Targets," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    3. Chao Gu & Tingting Huang & Wei Wei & Chun Yang & Jiangjie Chen & Wei Miao & Shuyuan Lin & Hanchu Sun & Jie Sun, 2023. "The Effect of Using Augmented Reality Technology in Takeaway Food Packaging to Improve Young Consumers’ Negative Evaluations," Agriculture, MDPI, vol. 13(2), pages 1-35, January.

    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. Shi, Kunbo & De Vos, Jonas & Cheng, Long & Yang, Yongchun & Witlox, Frank, 2021. "The influence of the built environment on online purchases of intangible services: Examining the mediating role of online purchase attitudes," Transport Policy, Elsevier, vol. 114(C), pages 116-126.
    2. Shi, Kunbo & De Vos, Jonas & Yang, Yongchun & Witlox, Frank, 2019. "Does e-shopping replace shopping trips? Empirical evidence from Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 21-33.
    3. Zhen, Feng & Du, Xiaojuan & Cao, Jason & Mokhtarian, Patricia L., 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, Elsevier, vol. 66(C), pages 291-299.
    4. Beckers, Joris & Cárdenas, Ivan & Verhetsel, Ann, 2018. "Identifying the geography of online shopping adoption in Belgium," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 33-41.
    5. Weltevreden, Jesse W.J. & Rotem-Mindali, Orit, 2009. "Mobility effects of b2c and c2c e-commerce in the Netherlands: a quantitative assessment," Journal of Transport Geography, Elsevier, vol. 17(2), pages 83-92.
    6. Wang, Kaili & Gao, Ya & Liu, Yicong & Nurul Habib, Khandker, 2023. "Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    7. Limon Barua & Bo Zou & Yan Zhou & Yulin Liu, 2023. "Modeling household online shopping demand in the U.S.: a machine learning approach and comparative investigation between 2009 and 2017," Transportation, Springer, vol. 50(2), pages 437-476, April.
    8. Neiberger Cordula & Mensing Matthias & Kubon Jonas, 2020. "Geographische Handelsforschung im Zeitalter der Digitalisierung: Eine Bestandsaufnahme," ZFW – Advances in Economic Geography, De Gruyter, vol. 64(4), pages 197-210, November.
    9. Thomas Wieland, 2023. "Spatial shopping behavior during the Corona pandemic: insights from a micro-econometric store choice model for consumer electronics and furniture retailing in Germany," Journal of Geographical Systems, Springer, vol. 25(2), pages 291-326, April.
    10. Xu, Lu & Saphores, Jean-Daniel, 2024. "Does e-shopping impact household travel? Evidence from the 2017 U.S. NHTS," Journal of Transport Geography, Elsevier, vol. 115(C).
    11. Figliozzi, Miguel & Unnikrishnan, Avinash, 2021. "Exploring the impact of socio-demographic characteristics, health concerns, and product type on home delivery rates and expenditures during a strict COVID-19 lockdown period: A case study from Portlan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 1-19.
    12. Jesse W J Weltevreden & Ton van Rietbergen, 2009. "The Implications of E-Shopping for in-Store Shopping at Various Shopping Locations in the Netherlands," Environment and Planning B, , vol. 36(2), pages 279-299, April.
    13. Zhou, Yiwei & Wang, Xiaokun (Cara), 2014. "Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 1-9.
    14. Colaço, Rui & de Abreu e Silva, João, 2022. "Exploring the e-shopping geography of Lisbon: Assessing online shopping adoption for retail purchases and food deliveries using a 7-day shopping survey," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    15. Pernot, Delphine, 2021. "Internet shopping for Everyday Consumer Goods: An examination of the purchasing and travel practices of click and pickup outlet customers," Research in Transportation Economics, Elsevier, vol. 87(C).
    16. Schade Katrin & Müller Andre & Holdack Eric & Hübscher Marcus & Lurie Katja & Schulze Juana, 2021. "Digitalization and City Center Resilience. Exploring Visitors’ Perceptions in Leipzig, Germany," ZFW – Advances in Economic Geography, De Gruyter, vol. 65(3-4), pages 132-146, December.
    17. Ralph Hippe & Damien Demailly & Claude Diebolt, 2022. "The Digital Transition for a Sustainable Mobility Regime? A Long-Run Perspective," Working Papers of BETA 2022-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    18. Beckers, Joris & Weekx, Simon & Beutels, Philippe & Verhetsel, Ann, 2021. "COVID-19 and retail: The catalyst for e-commerce in Belgium?," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    19. Godfrey Yeung & Kim Leng Ang, 2016. "Online Fashion Retailing and Retail Geography: The Blogshop Phenomenon in Singapore," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(1), pages 81-99, February.
    20. Qing Zhai & Xinyu Cao & Patricia L. Mokhtarian & Feng Zhen, 2017. "The interactions between e-shopping and store shopping in the shopping process for search goods and experience goods," Transportation, Springer, vol. 44(5), pages 885-904, September.

    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:eee:joreco:v:58:y:2021:i:c:s0969698920313102. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.