IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00068310.html
   My bibliography  Save this paper

Adoption et usage marchand de l'Internet : une étude économétrique sur données bretonnes

Author

Listed:
  • Fabice Le Guel
  • Thierry Pénard

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Raphaël Suire

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

[fre] Quels sont les facteurs qui favorisent ou au contraire freinent l ’ usage de l ’ Internet à domicile ? Afin de répondre à cette question , les enquêtes se sont multipliées ces dernières années . Dans cette lignée , cet article propose une modélisation économétrique des choix d ’ adoption de l ’ Internet par les ménages et d ’ achat en ligne , à partir d ’ une enquête effectuée fin 2002 en Bretagne . Cette étude , qui est la première du genre sur données françaises , met en évidence l ’ importance des . facteurs socio-économiques (âge , niveau d ’ étude , CSP ), mais aussi le rôle de l ’ expérience et du voisinage social dans les pratiques liées à l ’ Internet . Cette idée que les choix individuels se font en interaction avec l ’ entourage ou le réseau social se trouve ainsi confirmée en matière d ’ achat en ligne . [eng] What are the forces driving or curbing Internet use in the home ? Agrowing number of surveys have been carried out to address this question . In this vein , this article focuses on the decisions whether to have an Internet access in the home and whether to buy online , using the results of a survey carried out in Brittany at the end of 2002 . The econometric results of this study , the first of its kind using French data , highlight the role of socio-economic factors (age , education , occupation ), but also the positive impact of experience and neighbourhood influences on Internet use . For example , a person will be more likely to buy on the Internet if a large proportion of those in his neighbourhood are accustomed to buying online . This finding gives support to the idea that individual choices regarding online are often taken in interaction with people ’ s immediate circle or with social networks .
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Fabice Le Guel & Thierry Pénard & Raphaël Suire, 2005. "Adoption et usage marchand de l'Internet : une étude économétrique sur données bretonnes," Post-Print halshs-00068310, HAL.
  • Handle: RePEc:hal:journl:halshs-00068310
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Eric J. Johnson & Wendy W. Moe & Peter S. Fader & Steven Bellman & Gerald L. Lohse, 2004. "On the Depth and Dynamics of Online Search Behavior," Management Science, INFORMS, vol. 50(3), pages 299-308, March.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. Sophie Larribeau & Thierry Pénard, 2002. "Le commerce électronique en France : un essai de mesure sur le marché des CD," Économie et Statistique, Programme National Persée, vol. 355(1), pages 27-46.
    4. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    5. Goolsbee, Austan & Zittrain, Jonathan, 1999. "Evaluating the Costs and Benefits of Taxing Internet Commerce," National Tax Journal, National Tax Association;National Tax Journal, vol. 52(3), pages 413-428, September.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Alan L. Montgomery, 2001. "Applying Quantitative Marketing Techniques to the Internet," Interfaces, INFORMS, vol. 31(2), pages 90-108, April.
    8. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    9. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    10. Goolsbee, Austan & Zittrain, Jonathan, 1999. "Evaluating the Costs and Benefits of Taxing Internet Commerce," National Tax Journal, National Tax Association, vol. 52(n. 3), pages 413-28, September.
    11. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    12. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
    13. McFadden, Daniel L & Train, Kenneth E, 1996. "Consumers' Evaluation of New Products: Learning from Self and Others," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 683-703, August.
    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. Delphine Pernot, 2020. "Internet shopping for Everyday Consumer Goods: An examination of the purchasing and travel practices of click and pickup outlet customers," Post-Print hal-02512133, HAL.
    2. Raphaël Suire, 2007. "Encastrement social et usages de l'Internet : une analyse jointe du commerce et de l'administration électronique," Economie & Prévision, La Documentation Française, vol. 0(4), pages 161-174.
    3. 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).
    4. Fabrice Le Guel & Mohamed El Hedi Arouri & Fabrice Rochelandet, 2010. "L’entrelacement des pratiques culturelles et de l’usage des TIC : une analyse économique," Économie et Prévision, Programme National Persée, vol. 194(3), pages 33-55.

    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. Novice P. Bakehe, & Ariel H. Fambeu & George B. Tamokwe Piaptie, 2017. "Internet Adoption and Use in Cameroon," Working Papers 336, African Economic Research Consortium, Research Department.
    2. Steel, Will & Daglish, Toby & Marriott, Lisa & Gemmell, Norman & Howell, Bronwyn, 2013. "E-Commerce and its effect upon the Retail Industry and Government Revenue," Working Paper Series 4333, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    3. Steel, Will & Daglish, Toby & Marriott, Lisa & Gemmell, Norman & Howell, Bronwyn, 2013. "E-Commerce and its effect upon the Retail Industry and Government Revenue," Working Paper Series 19294, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    4. repec:vuw:vuwscr:19294 is not listed on IDEAS
    5. Ting Li & Robert J. Kauffman & Eric van Heck & Peter Vervest & Benedict G. C. Dellaert, 2014. "Consumer Informedness and Firm Information Strategy," Information Systems Research, INFORMS, vol. 25(2), pages 345-363, June.
    6. Delphine Irac & Claire Célérier & Philippe Askenazy, 2010. "Vente à distance, internet et dynamiques des prix," Économie et Prévision, Programme National Persée, vol. 194(3), pages 1-13.
    7. Ligthart, J.E., 2004. "Consumption Taxation in a Digital World : A Primer," Other publications TiSEM 46537bf7-4822-4dbe-b3fa-f, Tilburg University, School of Economics and Management.
    8. Jie Jennifer Zhang & Bing Jing, 2007. "The Impacts of Shopbots on Online Consumer Search," Working Papers 07-34, NET Institute, revised Sep 2007.
    9. Glenn W. Harrison & Morten I. Lau & Hong Il Yoo, 2020. "Risk Attitudes, Sample Selection, and Attrition in a Longitudinal Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 552-568, July.
    10. Franz Hackl & Michael Hölzl‐Leitner & Rudolf Winter‐Ebmer & Christine Zulehner, 2021. "Successful retailer strategies in price comparison platforms," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(5), pages 1284-1305, July.
    11. Cumming, Douglas & Fleming, Grant & Schwienbacher, Armin, 2006. "Legality and venture capital exits," Journal of Corporate Finance, Elsevier, vol. 12(2), pages 214-245, January.
    12. Murray, Anthony G. & Mills, Bradford F., 2011. "Read the label! Energy Star appliance label awareness and uptake among U.S. consumers," Energy Economics, Elsevier, vol. 33(6), pages 1103-1110.
    13. Sergei Koulayev, 2014. "Search for differentiated products: identification and estimation," RAND Journal of Economics, RAND Corporation, vol. 45(3), pages 553-575, September.
    14. Grewal, Dhruv & Janakiraman, Ramkumar & Kalyanam, Kirthi & Kannan, P.K. & Ratchford, Brian & Song, Reo & Tolerico, Stephen, 2010. "Strategic Online and Offline Retail Pricing: A Review and Research Agenda," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 138-154.
    15. Alwin Keil & Alwin D’souza & Andrew McDonald, 2017. "Zero-tillage is a proven technology for sustainable wheat intensification in the Eastern Indo-Gangetic Plains: what determines farmer awareness and adoption?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 723-743, August.
    16. Chen, Liyun, 2009. "What do we pay for asymmetric information? The evolution of mechanisms in online markets," MPRA Paper 22506, University Library of Munich, Germany.
    17. Grazzi, Matteo & Vergara, Sebastián, 2012. "ICT in developing countries: Are language barriers relevant? Evidence from Paraguay," Information Economics and Policy, Elsevier, vol. 24(2), pages 161-171.
    18. J Banasik & J Crook & L Thomas, 2003. "Sample selection bias in credit scoring models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(8), pages 822-832, August.
    19. Garcia, Serge & Harou, Patrice & Montagné, Claire & Stenger, Anne, 2009. "Models for sample selection bias in contingent valuation: Application to forest biodiversity," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 59-78, January.
    20. Morrissey, Karyn & Kinderman, Peter & Pontin, Eleanor & Tai, Sara & Schwannauer, Mathias, 2016. "Web based health surveys: Using a Two Step Heckman model to examine their potential for population health analysis," Social Science & Medicine, Elsevier, vol. 163(C), pages 45-53.
    21. Kabo, Felichism W. & Cotton-Nessler, Natalie & Hwang, Yongha & Levenstein, Margaret C. & Owen-Smith, Jason, 2014. "Proximity effects on the dynamics and outcomes of scientific collaborations," Research Policy, Elsevier, vol. 43(9), pages 1469-1485.

    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:hal:journl:halshs-00068310. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.