IDEAS home Printed from https://ideas.repec.org/a/leu/journl/2016vol13issue1p109-131.html
   My bibliography  Save this article

Time for shopping – Social change of time use for shopping activities 1990-2012

Author

Listed:
  • Georgios Papastefanou

    (Gesis Leibniz Institute for the Social Sciences)

  • David Zajchowski

    (Universität Mannheim)

Abstract

The daily shopping, so activities that aim at the acquisition of mainly household-related goods, food and services, is a constituent element of modern consumer society. In addition to the monetary aspect of the extraction of goods and services from the market, the temporal aspect weighs in as opportunity costs for shopping activities, . Against the background of a postulated social change in recent decades that has led to an increase in the daily pace of life, the question is whether and how these accelerating changes have also transformed the time patterns of everyday shopping, such as shopping frequency and shopping time. To investigate this question, data of the time use surveys of the Federal Statistical Office from 1991/92, 2001/02 and 2012/13 is analyzed. The results suggest that both the average shopping frequency as well as the average shopping duration has increased during that period of time. It is discussed how these results are consistent with the hypothesis of an extensive social acceleration.

Suggested Citation

  • Georgios Papastefanou & David Zajchowski, 2016. "Time for shopping – Social change of time use for shopping activities 1990-2012," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 13(1), pages 109-131, December.
  • Handle: RePEc:leu:journl:2016:vol13:issue1:p109-131
    as

    Download full text from publisher

    File URL: http://eijtur.org/pdf/volumes/eIJTUR-13-1-5_Papastefanou.pdf#page=111
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    2. Aguiar, M. & Hurst, E., 2016. "The Macroeconomics of Time Allocation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 203-253, Elsevier.
    3. Rinderspacher, Jürgen P., 2000. "Zeitwohlstand in der Moderne," Papers, Research Network Project "Work and Ecology" P 00-502, WZB Berlin Social Science Center.
    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. Daniel MacDonald, 2016. "The relationship between videogames, time allocation decisions, and labour market outcomes – Evidence from the American Time Use Survey," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 13(1), pages 34-57, December.
    2. Sjoerd Van Halem & Evelien M. Hoeben & Wim Bernasco & Tom F. M. Ter Bogt, 2016. "Measuring short and rare activities – Time diaries in criminology," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 13(1), pages 1-33, December.
    3. Jens Bonke, 2016. "Tax-reforms, normal and actual working hours and welfare in the beginning of the 20th’s Denmark," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 13(1), pages 91-108, December.
    4. Leanne Roncolato & Natalia Radchenko, 2016. "Women’s labor in South Africa – Time spent doing simultaneous paid and unpaid work," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 13(1), pages 58-90, December.
    5. Ariel Goldszmidt & John A. List & Robert D. Metcalfe & Ian Muir & V. Kerry Smith & Jenny Wang, 2020. "The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments," NBER Working Papers 28208, National Bureau of Economic Research, Inc.
    6. Miao Wang & Hong Zhuang, 2022. "Effect of official development assistance on adolescent fertility rate: within-country evidence," Economics Bulletin, AccessEcon, vol. 42(2), pages 566-590.
    7. Jongmoo Jay Choi & Hoje Jo & Jimi Kim & Moo Sung Kim, 2018. "Business Groups and Corporate Social Responsibility," Journal of Business Ethics, Springer, vol. 153(4), pages 931-954, December.
    8. Clément de Chaisemartin & Jaime Ramirez-Cuellar, 2024. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," American Economic Journal: Applied Economics, American Economic Association, vol. 16(1), pages 193-212, January.
    9. Francesca Carta & Lucia Rizzica, 2015. "Female employment and pre-kindergarten: on the uninteded effects of an Italian reform," Temi di discussione (Economic working papers) 1030, Bank of Italy, Economic Research and International Relations Area.
    10. Rotunno, Lorenzo, 2016. "Political stability and trade agreements: Evidence for ‘endgame FTAs’," European Journal of Political Economy, Elsevier, vol. 45(C), pages 133-148.
    11. Yuheng Lin & Dooruj Rambaccussing & Yu Zhu, 2024. "The impact of international students in the UK on the cultural goods trade," French Stata Users' Group Meetings 2024 29, Stata Users Group.
    12. Friedrich, Sarah & Pauly, Markus, 2018. "MATS: Inference for potentially singular and heteroscedastic MANOVA," Journal of Multivariate Analysis, Elsevier, vol. 165(C), pages 166-179.
    13. Nora Gordon & Sarah Reber, 2018. "The effects of school desegregation on mixed-race births," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(2), pages 561-596, April.
    14. Borisova, Ekaterina & Gründler, Klaus & Hackenberger, Armin & Harter, Anina & Potrafke, Niklas & Schoors, Koen, 2023. "Crisis experience and the deep roots of COVID-19 vaccination preferences," European Economic Review, Elsevier, vol. 160(C).
    15. Disha Gupta, 2023. "Free power, irrigation, and groundwater depletion: Impact of farm electricity policy of Punjab, India," Agricultural Economics, International Association of Agricultural Economists, vol. 54(4), pages 515-541, July.
    16. Berthélemy Michel & Bonev Petyo & Dussaux Damien & Söderberg Magnus, 2019. "Methods for strengthening a weak instrument in the case of a persistent treatment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(1), pages 1-30, February.
    17. Hollingsworth, Bruce & Ohinata, Asako & Picchio, Matteo & Walker, Ian, 2017. "Labour supply and informal care supply: The impacts of financial support for long-term elderly care," GLO Discussion Paper Series 118, Global Labor Organization (GLO).
    18. Guido Friebel & Matthias Heinz & Miriam Krueger & Nikolay Zubanov, 2017. "Team Incentives and Performance: Evidence from a Retail Chain," American Economic Review, American Economic Association, vol. 107(8), pages 2168-2203, August.
    19. Higgins, Daniel & Arslan, Aslihan & Winters, Paul, 2021. "What role can small-scale irrigation play in promoting inclusive rural transformation? Evidence from smallholder rice farmers in the Philippines," Agricultural Water Management, Elsevier, vol. 243(C).
    20. Silva,Joana C. G. & Morgandi,Matteo & Levin,Victoria, 2016. "Trust in government and support for redistribution," Policy Research Working Paper Series 7675, The World Bank.

    More about this item

    Keywords

    Time-Use; Shopping Activities; Cohort Analysis; Sequence Analysis; Social Change; Social Acceleration; German Time Use Survey;
    All these keywords.

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:leu:journl:2016:vol13:issue1:p109-131. 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: Joachim Merz (email available below). General contact details of provider: https://edirc.repec.org/data/fbluede.html .

    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.