Skip to main content

Advertisement

Log in

Economic growth, business cycles and products variety: exploring the role of demand satiety

  • Regular Article
  • Published:
Journal of Evolutionary Economics Aims and scope Submit manuscript

Abstract

The paper presents a model of economic growth based on a population of heterogeneous and interacting agents. This model succeeds to generate - in a single framework - GDP growth and cycles as well as product life cycles. Contrary to the existing literature, we find that an increasing variety of consumer goods is not a necessary condition for sustaining the economic growth when consumers are subject to satiation. Indeed, intensive creative-destruction - that is an intensive process of sectors births and deaths - appears to be a more powerful growth engine. We also find that changing consumers’ satiety thresholds is likely to affect the nature of the correlation between the cyclical components of macroeconomic time series.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. The present model has been written in C++ and can be obtained from the authors on request.

  2. Relying on agent-based methods is not a neutral choice, as it implies conceiving the economic world as a complex system (Holland and Miller 1991). Complexity emerges from the interactions of heterogeneous agents and from their reactions to the aggregate patterns that these interactions create (Arthur 2015). Agent-based modelers thus conceptualize the economy as an evolving multi-layers system of interactions between economic agents. Such a system is perpetually evolving due to agents’ adaptations and innovations (Arthur 2015; Dawid 2006; Farmer and Foley 2009). We consider agent-based modeling as the appropriate conceptual and modeling framework for this paper, since we are concerned with the question of the interplay between endogenous product innovations - and their diffusion - and trajectories of economic growth.

  3. A wage-elastic labor supply would have required to program a matching algorithm between supply and demand (see for instance Thiriot et al. 2011) The interest of such an approach would have been to allow a study of the interactions between creative-destruction and unemployment, but with the drawback of moving us away from our first objective, which is the study of the links between demand satiety and the economic growth. We thus leave the wage-elastic labor supply for further investigations)

  4. In practical terms, a higher weight on prices in consumers’ choice would slows down firm’s convergence towards a dominant design, and accelerate productivity growth because of firms’ efforts in process innovation.

  5. Budget c, t stands for the budget of the consumer c at time t. It is the total amount of liquidities that a consumer holds. Budget c, t increases when c finds a job and it decreases when c is consuming. If Budget c, t = 0 or when it is lower than any price, then the agent c cannot buy anything.

  6. The pseudo-code for consumers’ update of their products ranking is presented in Table 10.

  7. Each firm has a specific innovation expertise (Klepper 1996), attributed at its birth by a random draw in U(0; 2). This expertise is used in their innovation processes as well as for firms to enter in a new sector.

  8. It follows that - in a given firm - R&D is performed by only one worker. This hypothesis conforms to the one of constant productivity in research activities found in Baumol (2002).

  9. The pseudo-code of this method is presented in Table 9.

  10. Following the previous discussion on business cycles, we use the following values for the parameters of the bandpass filter: k = 12, lower frequency bound = 6, and upper frequency bound = 32.

References

  • Acs ZJ, Audretsch DB (1987) Innovation, market structure, and firm size. Rev Econ Stat 69:567–574

    Article  Google Scholar 

  • Aoki M, Yoshikawa H (2002) Demand saturation-creation and economic growth. J Econ Behav Organ 48:127–154

    Article  Google Scholar 

  • Aoki M, Yoshikawa H (2007) Reconstructing macroeconomics, a perspective from statistical physics and combinatorial stochastic processes. Cambridge University Press

  • Arthur WB (2015) Complexity and the economy. Oxford University Press

  • Aversi R, Dosi G, Fagiolo G, Meacci M, Olivetti C (1999) Demand dynamics with socially evolving preferences. Ind Corp Chang 8:353–408

    Article  Google Scholar 

  • Baumol WJ (2002) Services as leaders and the leader of the services. In: Gadrey J, Gallouj F (eds) Productivity, innovation and knowledge in services. Edward Elgar, chapter 7, pp 147–163

    Google Scholar 

  • Baumol WJ, Litan RE, Schramm CJ (2007) Good capitalism, bad capitalism, and the economics of growth and prosperity. Yale University Press

  • Baxter M, King RG (1999) Measuring business cycles: approximate band-pass filters for economic time series. Rev Econ Stat 81:575–593

    Article  Google Scholar 

  • Burns AF, Mitchell WC (1946) Measuring business cycles. NBER (National Bureau of Economic Research)

  • Chang M-H, Harrington JE (2006) Agent-based models of organizations. In: Tesfatsion L, Judd KL (eds) Handbook of computational economics. Agent-based computational economics. North-Holland, chapter 26, pp 1273–1337

    Google Scholar 

  • Ciarli T, Lorentz A, Savona M, Valente M (2010) The effect of consumption and production structure on growth and distribution. a micro to macro model. Metroeconomica 61:180–218

    Article  Google Scholar 

  • Dawid H (2006) Agent-based models of innovation and technological change. In: Tesfatsion L, Judd KL (eds) Handbook of computational economics. Agent-based computational economics. North-Holland, chapter 25, pp 1235–1272

    Google Scholar 

  • Desmarchelier B, Djellal F, Gallouj F (2011) Economic growth by waste generation: the dynamics of a vicious circle Emergent results of artificial economics. Springer

    Google Scholar 

  • Desmarchelier B, Djellal F, Gallouj F (2013) Environmental policies and eco-innovations by service firms: an agent-based model. Technol Forecast Soc Chang 80:1395–1408

    Article  Google Scholar 

  • Dosi G, Fagiolo G, Napoletano M, Roventini A (2013) Income distribution, credit and fiscal policies in an agent-based keynesian model. J Econ Dyn Control 37:1598–1625

    Article  Google Scholar 

  • Dosi G, Fagiolo G, Roventini A (2010) Schumpeter meeting keynes: a policy-friendly model of endogenous growth and business cycles. J Econ Dyn Control 34:1748–1767

    Article  Google Scholar 

  • Farmer JD, Foley D (2009) The economy needs agent-based modelling. Nature 460:685–686

    Article  Google Scholar 

  • French JRP (1956) A formal theory of social power. Psychol Rev 63:181–194

    Article  Google Scholar 

  • Frenken K (2006) Innovation, evolution and complexity theory. Edward Elgar

  • Friedkin NE, Johnsen EC (1990) Social influence and opinions. J Math Sociol 15:193–205

    Article  Google Scholar 

  • Friedkin NE, Johnsen EC (1999) Social influence networks and opinion change. Adv Group Process 16:1–29

    Google Scholar 

  • Hegselmann R, Krause U (2002) Opinion dynamics and bounded confidence. models, analysis and simulation. Journal of Artificial Societies and Social Simulation 5. http://jasss.soc.surrey.ac.uk/5/3/2.html

  • Hofstede G (1991) Cultures consequences: comparing values, behaviors, institutions and organizations across nations, 2nd edn. SAGE

  • Hofstede G, Hofstede GJ, Minkov M (2001) Cultures and Organizations: software of the mind. Intercultural cooperation and its importance for survival. Mc Graw-Hill

  • Holland JH (1992) Adaptation in natural and artificial systems. MIT Press

  • Holland JH, Miller JH (1991) Artificial adaptive agents in economic theory. Am Econ Rev 81(2):365–370

    Google Scholar 

  • King RG, Rebelo ST (1999) Resuscitating real business cycles JB Taylor and m woodford, editors, handbook of macroeconomics, vol 1. Elsevier, chapter 14, pp 927–1007

    Google Scholar 

  • Klepper S (1996) Entry, exit, growth, and innovation over the product life cycle. Am Econ Rev 86:562–583

    Google Scholar 

  • Lebergott S, Happiness Pursuing (1996) American consumers in the twentieth century. Princeton University Press

  • Levinthal DA (1997) Adaptation on rugged landscapes. Manag Sci 43:934–950

    Article  Google Scholar 

  • Lorentz A, Ciarli T, Savona M, Valente M (2015) The effect of demand-driven structural transformations on growth and technological change. J Evol Econ

  • Mankiw GN (1989) Real business cycles: a new keynesian perspective. J Econ Perspect 3:79–90

    Article  Google Scholar 

  • March JG (1991) Exploration and exploitation in organizational learning. Organ Sci 2:71–87

    Article  Google Scholar 

  • Meikle JL, limited Twentieth century (2001) Industrial design in America, 1925–1939. Temple University Press

  • Nelson RR, Winter SG (1982) An evolutionary theory of economic change. Harvard University Press

  • Pasinetti LL, Change Structural, Growth Economic (1981) A theoretical essay on the dynamics of the wealth of nations. Cambridge University Press

  • Plosser CI (1989) Understanding real business cycles. J Econ Perspect 3:51–77

    Article  Google Scholar 

  • Rogers EM (1995) Diffusion of innovations. The Free Press

  • Saviotti PP, Metcalfe JS (1984) A theoratical approach to the construction of technological output indicators. Res Policy 13:141–151

    Article  Google Scholar 

  • Saviotti PP, Pyka A (2004) Economic development by the creation of new sectors. J Evol Econ 14:1–35

    Article  Google Scholar 

  • Saviotti PP, Pyka A (2008) Micro and macro dynamics: industry life cycles, inter-sector coordination and aggregate growth. J Evol Econ 18:167–182

    Article  Google Scholar 

  • Silverberg G, Verspagen B (1994) Learning, innovation and economic growth: a long-run model of industrial dynamics. Ind Corp Chang 3:199–223

    Article  Google Scholar 

  • Solow RM (1997) Is there a core of usable macroeconomics we should all believe in? Am Econ Rev 87:230–232

    Google Scholar 

  • Solow RM (2007) Reflections on growth theory. In: Aghion P, Durlauf SN (eds) Handbook of economic growth. North-Holland, pp 3–10

  • Stock J, Watson M (1999) Business cycle fluctuations in u.s. macroeconomic time series. In: Taylor JB, Woodford M (eds) Handbook of macroeconomics, vol 1. Elsevier, chapter 1, pp 3–64

  • Summers LH (1986) Some skeptical observations on real business cycle theory. Federal Reserve Bank of Philadelphia Quarterly Review 10:9–22

    Google Scholar 

  • Thiriot S, Lewkovicz Z, caillou P, Kant J-D (2011) Referral hiring and labor markets: a computational study. In: Osinga S, Hofstede G J, Verwaart T (eds) Emergent results of artificial economics. Springer, chapter 2, pp 15–25

  • Williamson OE (1965) Innovation and market structure. J Polit Econ 73:67–73

    Article  Google Scholar 

  • Winter SG (1984) Schumpeterian competition in alternative technological regimes. J Econ Behav Organ 5:287–320

    Article  Google Scholar 

  • Witt U (2001) Learning to consume-a theory of wants and the growth of demand. J Evol Econ 11:23–36

    Article  Google Scholar 

  • Witt U (2010) Symbolic consumption and the social construction of product characteristics. Struct Chang Econ Dyn 21:17–25

    Article  Google Scholar 

  • Yoshikawa H (2000) Technical progress and the growth of the Japanese economy - past and future. Oxf Rev Econ Policy 16:34–45

    Article  Google Scholar 

Download references

Acknowledgements

We thank the participants of the research seminar “The Economics of Innovative Change” (University of Jena, 19th June 2013) for their very helpful comments on a preliminary version of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Benoît Desmarchelier.

Annex

Annex

Table 6 Consumers’ attributes and methods
Table 7 Sectors’ attributes and methods
Table 8 Firms’ attributes and methods
Table 9 Pseudo-code of the labor market
Table 10 Pseudo-code of the update of consumers’ ranking of products

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Desmarchelier, B., Djellal, F. & Gallouj, F. Economic growth, business cycles and products variety: exploring the role of demand satiety. J Evol Econ 27, 503–529 (2017). https://doi.org/10.1007/s00191-017-0498-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00191-017-0498-4

Keywords

JEL Classification

Navigation