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Continuous Market Growth Beyond Functional Satiation. Time-Series Analyses of U.S. Footwear Consumption, 1955-2002

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  • A. Frenzel Baudisch

Abstract

Market growth is driven by product innovation. Beyond functional satiation the marginal utility of product performance and variety decreases. We argue that social comparisons underlying innovation diffusion results in consumer motivations for upward assimilation toward the behavior of better performing others, even beyond functional requirements. We distinguish consumption growth patterns driven by functional vs. assimilating motivations. These patterns are tested by time-series analyses of U.S. Footwear consumption between 1955 and 2002. The acceleration of market growth since the 1970s is statistically explained by changes in price, cross-price elasticity, and the increasing demand for innovations, according to our theoretical account of consumption motivations beyond functional satiation.

Suggested Citation

  • A. Frenzel Baudisch, 2006. "Continuous Market Growth Beyond Functional Satiation. Time-Series Analyses of U.S. Footwear Consumption, 1955-2002," Papers on Economics and Evolution 2006-03, Philipps University Marburg, Department of Geography.
  • Handle: RePEc:esi:evopap:2006-03
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    1. Laurens Rook, 2006. "An Economic Psychological Approach to Herd Behavior," Journal of Economic Issues, Taylor & Francis Journals, vol. 40(1), pages 75-95, March.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    4. E. M. Hoover, 1933. "The Location of the Shoe Industry in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 47(2), pages 254-276.
    5. Robert Meyer & Eric J. Johnson, 1995. "Empirical Generalizations in the Modeling of Consumer Choice," Marketing Science, INFORMS, vol. 14(3_supplem), pages 180-189.
    6. Weisskoff, Richard, 1994. "The decline of the U.S. footwear industry and the expected impact of a Free Trade Agreement between Colombia and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 5(1), pages 55-78.
    7. Vermeir, Iris & Van Kenhove, Patrick & Hendrickx, Hendrik, 2002. "The influence of need for closure on consumer's choice behaviour," Journal of Economic Psychology, Elsevier, vol. 23(6), pages 703-727, December.
    8. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    9. Eric Abrahamson & Lori Rosenkopf, 1997. "Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation," Organization Science, INFORMS, vol. 8(3), pages 289-309, June.
    10. Mark Bils & Peter J. Klenow, 2001. "The Acceleration of Variety Growth," American Economic Review, American Economic Association, vol. 91(2), pages 274-280, May.
    11. Ulrich Witt, 1994. "Evolutionary economics," Chapters, in: Peter J. Boettke (ed.), The Elgar Companion to Austrian Economics, chapter 78, Edward Elgar Publishing.
    12. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    13. Ruth P. Mack, 1956. "Consumption and Business Fluctuations: A Case Study of the Shoe, Leather, Hide Sequence," NBER Books, National Bureau of Economic Research, Inc, number mack56-1, May.
    14. Alexander Frenzel Baudisch, 2006. "Functional Demand Satiation and Industrial Dynamcis - The Emergence of the Global Value Chain for the U.S. Footwear Industry," DRUID Working Papers 06-03, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    15. Steven Payson, 1994. "Quality Measurement in Economics," Books, Edward Elgar Publishing, number 351.
    16. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    17. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    18. Abernathy, William J. & Clark, Kim B., 1985. "Innovation: Mapping the winds of creative destruction," Research Policy, Elsevier, vol. 14(1), pages 3-22, February.
    19. Malerba, Franco, et al, 1999. "'History-Friendly' Models of Industry Evolution: The Computer Industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(1), pages 3-40, March.
    20. Ulrich Witt, 2001. "special issue: Learning to consume - A theory of wants and the growth of demand," Journal of Evolutionary Economics, Springer, vol. 11(1), pages 23-36.
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    Cited by:

    1. Kaus, Wolfhard, 2013. "Beyond Engel's law - A cross-country analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 118-134.
    2. Baudisch, Alexander Frenzel, 2007. "Consumer heterogeneity evolving from social group dynamics: Latent class analyses of German footwear consumption 1980-1991," Journal of Business Research, Elsevier, vol. 60(8), pages 836-847, August.
    3. Andreas Chai, 2017. "Tackling Keynes’ question: a look back on 15 years of Learning To Consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 251-271, April.
    4. Andreas Chai & Alessio Moneta, 2013. "Back to Engel? Some Evidence for the Hierarchy of Needs," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 33-59, Springer.

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    More about this item

    Keywords

    Product Innovation; Innovation Diffusion; Consumption Growth; Social Comparison; Time-Series Analysis;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L67 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Consumer Nondurables: Clothing, Textiles, Shoes, and Leather Goods; Household Goods; Sports Equipment
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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