IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/1942.html
   My bibliography  Save this paper

The European Consumer: United In Diversity?

Author

Listed:
  • Lemmens, A.
  • Croux, C.
  • Dekimpe, M.G.

Abstract

The ongoing unification which takes place on the European political scene, along with recent advances in consumer mobility and communication technology, raises the question whether the European Union can be treated as a single market to fully exploit the potential synergy effects from pan-European marketing strategies. Previous research, which mostly used domain-specific segmentation bases, has resulted in mixed conclusions. In this paper, a more general segmentation base is adopted, as we consider the homogeneity in the European countries’ Consumer Confidence Indicators. Moreover, rather than analyzing more traditional static similarity measures, we adopt the concepts of dynamic correlation and cohesion between countries. The short-run fluctuations in consumer confidence are found to be largely country specific. However, a myopic focus on these fluctuations may inspire management to adopt multicountry strategies, foregoing the potential longer-run benefits from more standardized marketing strategies. Indeed, the Consumer Confidence Indicators become much more homogeneous as the planning horizon is extended. However, this homogeneity is found to remain inversely related to the cultural, economic and geographic distances among the various Member States. Hence, pan-regional rather pan-European strategies are called for.

Suggested Citation

  • Lemmens, A. & Croux, C. & Dekimpe, M.G., 2005. "The European Consumer: United In Diversity?," ERIM Report Series Research in Management ERS-2005-022-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:1942
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/1942/ERS%202005%20022%20MKT.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kumar, V. & Leone, Robert P. & Gaskins, John N., 1995. "Aggregate and disaggregate sector forecasting using consumer confidence measures," International Journal of Forecasting, Elsevier, vol. 11(3), pages 361-377, September.
    2. Allenby, Greg M & Jen, Lichung & Leone, Robert P, 1996. "Economic Trends and Being Trendy: The Influence of Consumer Confidence on Retail Fashion Sales," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 103-111, January.
    3. Roberto Golinelli & Giuseppe Parigi, 2004. "Consumer Sentiment and Economic Activity: A Cross Country Comparison," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(2), pages 147-170.
    4. Chauvet, Marcelle & Guo, Jang-Ting, 2003. "Sunspots, Animal Spirits, And Economic Fluctuations," Macroeconomic Dynamics, Cambridge University Press, vol. 7(1), pages 140-169, February.
    5. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    6. Praet, Peter & Vuchelen, Jef, 1989. "The contribution of consumer confidence indexes in forecasting the effects of oil prices on private consumption," International Journal of Forecasting, Elsevier, vol. 5(3), pages 393-397.
    7. Bijmolt, T.H.A. & Paas, L.J. & Vermunt, J.K., 2004. "Country and consumer segmentation : Multi-level latent class analysis of financial product ownership," Other publications TiSEM fb506162-d125-4091-9083-9, Tilburg University, School of Economics and Management.
    8. Hiram C. Barksdale & Jimmy E. Hilliard & Mikael C. Ahlund, 1975. "A Cross-Spectral Analysis of Beef Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(2), pages 309-315.
    9. Kamakura, Wagner A. & Gessner, Guy, 1986. "Consumer sentiment and buying intentions revisited: a comparison of predictive usefulness," Journal of Economic Psychology, Elsevier, vol. 7(2), pages 197-220, June.
    10. Jonung, Lars, 1986. "Uncertainty about inflationary perceptions and expectations," Journal of Economic Psychology, Elsevier, vol. 7(3), pages 315-325, September.
    11. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    12. Abeele, P. Vanden, 1983. "The index of consumer sentiment: Predictability and predictive power in the EEC," Journal of Economic Psychology, Elsevier, vol. 3(1), pages 1-17.
    13. Barbara Deleersnyder & Marnik G. Dekimpe & Miklos Sarvary & Philip M. Parker, 2004. "Weathering Tight Economic Times: The Sales Evolution of Consumer Durables Over the Business Cycle," Quantitative Marketing and Economics (QME), Springer, vol. 2(4), pages 347-383, December.
    14. Baxter, Marianne, 1994. "Real exchange rates and real interest differentials: Have we missed the business-cycle relationship?," Journal of Monetary Economics, Elsevier, vol. 33(1), pages 5-37, February.
    15. Carlino, Gerald A. & DeFina, Robert H., 2004. "How strong is co-movement in employment over the business cycle? Evidence from state/sector data," Journal of Urban Economics, Elsevier, vol. 55(2), pages 298-315, March.
    16. Jansen, W. Jos & Nahuis, Niek J., 2003. "The stock market and consumer confidence: European evidence," Economics Letters, Elsevier, vol. 79(1), pages 89-98, April.
    17. Batchelor, Roy & Dua, Pami, 1998. "Improving macro-economic forecasts: The role of consumer confidence," International Journal of Forecasting, Elsevier, vol. 14(1), pages 71-81, March.
    18. Lemmens, Aurelie & Croux, Christophe & Dekimpe, Marnik G., 2005. "On the predictive content of production surveys: A pan-European study," International Journal of Forecasting, Elsevier, vol. 21(2), pages 363-375.
    19. Franses, Philip Hans & Kloek, Teun & Lucas, Andre, 1998. "Outlier robust analysis of long-run marketing effects for weekly scanning data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 293-315, November.
    20. Gerard J. Tellis & Stefan Stremersch & Eden Yin, 2003. "The International Takeoff of New Products: The Role of Economics, Culture, and Country Innovativeness," Marketing Science, INFORMS, vol. 22(2), pages 188-208, October.
    21. Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001. "A Measure Of Comovement For Economic Variables: Theory And Empirics," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 232-241, May.
    22. Askegaard, Søren & Madsen, Tage Koed, 1998. "The local and the global: exploring traits of homogeneity and heterogeneity in European food cultures," International Business Review, Elsevier, vol. 7(6), pages 549-568, November.
    23. Raj Sethuraman & V. Srinivasan & Doyle Kim, 1999. "Asymmetric and Neighborhood Cross-Price Effects: Some Empirical Generalizations," Marketing Science, INFORMS, vol. 18(1), pages 23-41.
    24. Adrian W. Throop, 1992. "Consumer sentiment: its causes and effects," Economic Review, Federal Reserve Bank of San Francisco, pages 35-59.
    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. Lamey, L. & Deleersnyder, B. & Dekimpe, M.G. & Steenkamp, J-B.E.M., 2005. "The Impact of Business-Cycle Fluctuations on Private-Label Share," ERIM Report Series Research in Management ERS-2005-061-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. van Bruggen, G.H. & Wierenga, B., 2005. "When are CRM Systems Successful? The Perspective of the User and of the Organization," ERIM Report Series Research in Management ERS-2005-048-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Fok, D. & Horváth, C. & Paap, R. & Franses, Ph.H.B.F., 2004. "A hierarchical Bayes error correction model to explain dynamic effects," Econometric Institute Research Papers EI 2004-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Bazhanov, Andrei & Levin, Yuri & Nediak, Mikhail, 2015. "Quantity Competition in the Presence of Strategic Consumers," MPRA Paper 62075, University Library of Munich, Germany.

    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. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2007. "Consumer confidence in Europe : United in diversity," Other publications TiSEM ea8c3268-2c0b-4fcc-9d4a-6, Tilburg University, School of Economics and Management.
    2. Vuchelen, Jef, 2004. "Consumer sentiment and macroeconomic forecasts," Journal of Economic Psychology, Elsevier, vol. 25(4), pages 493-506, August.
    3. Paradiso, Antonio & Kumar, Saten & Margani, Patrizia, 2014. "Are Italian consumer confidence adjustments asymmetric? A macroeconomic and psychological motives approach," Journal of Economic Psychology, Elsevier, vol. 43(C), pages 48-63.
    4. Marnik G. Dekimpe & Barbara Deleersnyder, 2018. "Business cycle research in marketing: a review and research agenda," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 31-58, January.
    5. Lamey, L. & Deleersnyder, B. & Dekimpe, M.G. & Steenkamp, J-B.E.M., 2005. "The Impact of Business-Cycle Fluctuations on Private-Label Share," ERIM Report Series Research in Management ERS-2005-061-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. E. Kilic & S. Cankaya, 2016. "Consumer confidence and economic activity: a factor augmented VAR approach," Applied Economics, Taylor & Francis Journals, vol. 48(32), pages 3062-3080, July.
    7. Roberto Golinelli & Giuseppe Parigi, 2003. "What is this thing called confidence? A comparative analysis of consumer confidence indices in eight major countries," Temi di discussione (Economic working papers) 484, Bank of Italy, Economic Research and International Relations Area.
    8. Deleersnyder, B. & Dekimpe, M.G. & Sarvary, M. & Parker, P.M., 2003. "Weathering Tight Economic Times: The Sales Evolution Of Consumer Durables Over The Business Cycle," ERIM Report Series Research in Management ERS-2003-046-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2004. "Decomposing Granger Causality over the Spectrum," ERIM Report Series Research in Management ERS-2004-102-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Hojin Jung & Minjae Park & Kihoon Hong & Eunjung Hyun, 2016. "The Impact of an Epidemic Outbreak on Consumer Expenditures:An Empirical Assessment for MERS Korea," Sustainability, MDPI, vol. 8(5), pages 1-15, May.
    11. Bahram Adrangi & Joseph Macri, 2011. "Consumer Confidence and Aggregate Consumption Expenditures in the United States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 1-18, February.
    12. Hunneman, Auke & Verhoef, Peter C. & Sloot, Laurens M., 2015. "The Impact of Consumer Confidence on Store Satisfaction and Share of Wallet Formation," Journal of Retailing, Elsevier, vol. 91(3), pages 516-532.
    13. Sarah Gelper & Aurelie Lemmens & Christophe Croux, 2007. "Consumer sentiment and consumer spending: decomposing the Granger causal relationship in the time domain," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 1-11.
    14. Petar Sorić, 2018. "Consumer confidence as a GDP determinant in New EU Member States: a view from a time-varying perspective," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 261-282, May.
    15. Piotr Białowolski, 2015. "Concepts of Confidence in Tendency Survey Research: An Assessment with Multi-group Confirmatory Factor Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(1), pages 281-302, August.
    16. Petar Sorić & Blanka Škrabić Perić & Marina Matošec, 2022. "Breaking new grounds: a fresh insight into the leading properties of business and consumer survey indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4511-4535, December.
    17. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    18. Gelper, S. & Lemmens, A. & Croux, C., 2007. "Consumer sentiment and consumer spending : Decomposing the granger causal relationship in the time domain," Other publications TiSEM 55ac7230-2985-41f1-a42c-7, Tilburg University, School of Economics and Management.
    19. Michis Antonis A, 2009. "Regression Analysis of Marketing Time Series: A Wavelet Approach with Some Frequency Domain Insights," Review of Marketing Science, De Gruyter, vol. 7(1), pages 1-43, July.
    20. Hatice Gökçe Karasoy Can & Çağlar Yüncüler, 2018. "The Explanatory Power and the Forecast Performance of Consumer Confidence Indices for Private Consumption Growth in Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(9), pages 2136-2152, July.

    More about this item

    Keywords

    European Unification; consumer confidence; dynamic correlation;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ems:eureri:1942. 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.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.