IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v25y2023i2d10.1007_s10109-023-00408-x.html
   My bibliography  Save this article

Spatial shopping behavior during the Corona pandemic: insights from a micro-econometric store choice model for consumer electronics and furniture retailing in Germany

Author

Listed:
  • Thomas Wieland

    (Karlsruhe Institute of Technology (KIT), Human Geography)

Abstract

During the COVID-19 pandemic, e-commerce’s market share has increased dramatically, a phenomenon attributable to not only lockdowns but to voluntary changes in shopping behavior as well. The current study examines the main determinants driving shopping behavior in the context of both physical and online store availability, and investigates whether specific drivers have changed during the pandemic. The study aims to test whether fear of infection and mandatory wearing of face masks in shops have influenced consumer channel choice. The empirical analysis focuses on two product types (consumer electronics, furniture), with empirical data collected via a representative consumer survey in three German regions. The statistical analysis was performed using a hurdle model approach and the findings are compared to those of a study related to pre-pandemic shopping. The results show that the determinants of shopping behavior have largely not changed. Channel choice can be explained by shopping attitudes, age, and partially, by place of residence of consumers. Store choice is determined primarily by shopping transaction costs and store features. Fear of infection and the mandatory wearing of face masks exhibit minimal influence on channel choice, if any. The importance of cross-channel integration of stores/chains has decreased significantly, while average travel times for in-store purchases have declined.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:jgeosy:v:25:y:2023:i:2:d:10.1007_s10109-023-00408-x
    DOI: 10.1007/s10109-023-00408-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10109-023-00408-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10109-023-00408-x?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. Thomas Wieland, 2020. "REAT: A Regional Economic Analysis Toolbox for R," REGION, European Regional Science Association, vol. 7, pages 1-57.
    2. Hsiao, Ming-Hsiung, 2009. "Shopping mode choice: Physical store shopping versus e-shopping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 86-95, January.
    3. Jean-Victor Alipour & Oliver Falck & Simon Krause & Carla Krolage & Sebastian Wichert, 2022. "Die Innenstadt als Konsumzentrum: Ein Opfer von Corona und Homeoffice?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 75(10), September.
    4. Pradeep K. Chintagunta & Junhong Chu & Javier Cebollada, 2012. "Quantifying Transaction Costs in Online/Off-line Grocery Channel Choice," Marketing Science, INFORMS, vol. 31(1), pages 96-114, January.
    5. Alexander Dietrich & Edward S. Knotek & Gernot J. Müller & Kristian Ove R. Myrseth & Raphael Schoenle & Michael Weber, 2020. "Consumers and COVID-19: Survey Results on Mask-Wearing Behaviors and Beliefs," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2020(20), pages 1-7, July.
    6. Amparo Baviera-Puig & Juan Buitrago-Vera & Carmen Escriba-Perez, 2016. "Geomarketing models in supermarket location strategies," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(6), pages 1205-1221, November.
    7. Zeileis, Achim & Kleiber, Christian & Jackman, Simon, 2008. "Regression Models for Count Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i08).
    8. 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.
    9. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    10. Eaton, B Curtis & Lipsey, Richard G, 1982. "An Economic Theory of Central Places," Economic Journal, Royal Economic Society, vol. 92(365), pages 56-72, March.
    11. Tommi Orpana & Jouko Lampinen, 2003. "Building Spatial Choice Models from Aggregate Data," Journal of Regional Science, Wiley Blackwell, vol. 43(2), pages 319-348, May.
    12. 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.
    13. 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.
    14. Suel, Esra & Polak, John W., 2017. "Development of joint models for channel, store, and travel mode choice: Grocery shopping in London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 147-162.
    15. Tomoki Nakaya & A. Fotheringham & Kazumasa Hanaoka & Graham Clarke & Dimitris Ballas & Keiji Yano, 2007. "Combining microsimulation and spatial interaction models for retail location analysis," Journal of Geographical Systems, Springer, vol. 9(4), pages 345-369, December.
    16. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    17. Rossetti, Tomás & Yoon, So-Yeon & Daziano, Ricardo A., 2022. "Social distancing and store choice in times of a pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    18. Sven‐Olov Daunfeldt & Oana Mihaescu & Helena Nilsson & Niklas Rudholm, 2019. "Spillover effects when IKEA enters: Do incumbent retailers win or lose?," Papers in Regional Science, Wiley Blackwell, vol. 98(6), pages 2295-2313, December.
    19. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    20. Jean-Victor Alipour & Oliver Falck & Simon Krause & Carla Krolage & Sebastian Wichert, 2022. "Die Innenstadt als Konsumzentrum: Ein Opfer von Corona und Homeoffice?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 75(10), pages 53-57, October.
    21. Oruc Nermin & Tihi Boris, 2012. "Competitive Location Assessment – the MCI Approach," South East European Journal of Economics and Business, Sciendo, vol. 7(2), pages 35-49, November.
    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. 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).
    2. Wieland, Thomas, 2014. "Räumliches Einkaufsverhalten und Standortpolitik im Einzelhandel unter Berücksichtigung von Agglomerationseffekten: Theoretische Erklärungsansätze, modellanalytische Zugänge und eine empirisch-ökonome," MPRA Paper 77163, University Library of Munich, Germany.
    3. Alexander Rossolov & Halyna Rossolova & José Holguín-Veras, 2021. "Online and in-store purchase behavior: shopping channel choice in a developing economy," Transportation, Springer, vol. 48(6), pages 3143-3179, December.
    4. 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.
    5. Shah, Harsh & Carrel, Andre L. & Le, Huyen T.K., 2021. "What is your shopping travel style? Heterogeneity in US households’ online shopping and travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 83-98.
    6. 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).
    7. 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.
    8. Jing Chen & Yong Zhang & Shiyao Zhu & Lei Liu, 2021. "Does COVID-19 Affect the Behavior of Buying Fresh Food? Evidence from Wuhan, China," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    9. 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).
    10. Minh Hieu Nguyen & Jimmy Armoogum & Binh Nguyen Thi, 2021. "Factors Affecting the Growth of E-Shopping over the COVID-19 Era in Hanoi, Vietnam," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    11. Hassan Alkhiyami & Laoucine Kerbache & Majed Hadid, 2024. "Consumers’ Marketing Channel Choice and the Impact on Logistics and Operations: A Systematic Literature Review of the Fresh Food and Grocery Sector," Logistics, MDPI, vol. 8(1), pages 1-18, January.
    12. Christian Kleiber & Achim Zeileis, 2016. "Visualizing Count Data Regressions Using Rootograms," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 296-303, July.
    13. Evgenii V. Gilenko & Elena A. Mironova, 2017. "Modern claim frequency and claim severity models: An application to the Russian motor own damage insurance market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1311097-131, January.
    14. Livio Finos & Fortunato Pesarin, 2020. "On zero-inflated permutation testing and some related problems," Statistical Papers, Springer, vol. 61(5), pages 2157-2174, October.
    15. Andre Jungmittag, 2019. "Service trade restrictiveness and internationalisation of retail trade," International Economics and Economic Policy, Springer, vol. 16(2), pages 293-333, April.
    16. 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.
    17. Harsh Shah & Andre L. Carrel & Huyen T. K. Le, 2024. "Impacts of teleworking and online shopping on travel: a tour-based analysis," Transportation, Springer, vol. 51(1), pages 99-127, February.
    18. Christian Balcells, 2022. "Determinants of firm boundaries and organizational performance: an empirical investigation of the Chilean truck market," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 423-461, April.
    19. Moritz Berger & Gerhard Tutz, 2021. "Transition models for count data: a flexible alternative to fixed distribution models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1259-1283, October.
    20. Filipe Sengo Furtado & Thomas Reutterer & Nadine Schröder, 2022. "The carrot and the stick in online reviews: determinants of un-/helpfulness voting choices," Journal of Business Economics, Springer, vol. 92(4), pages 565-590, May.

    More about this item

    Keywords

    Spatial shopping behavior; Multi-channel retailing; Online shopping; Store choice model; Retail location theory; Corona pandemic;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    Statistics

    Access and download statistics

    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:kap:jgeosy:v:25:y:2023:i:2:d:10.1007_s10109-023-00408-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.