• Lars Weber
Part of the Contributions to Economics book series (CE)


Phrases such as “demographic change”, “fertility decline” and “aging society” are commonplace terminology in most industrialized countries. Western Europe, especially, is facing a mounting challenge: How to solve unknown problems of an aging and shrinking society? In fact, Japan is facing this problem as well and much earlier than Western Europe, but the time-lag is not long enough to observe the tide of events in Japan and to adopt Japan’s best practices.


Growth Model Total Factor Productivity Demographic Change Fertility Decline Growth Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Auerbach, A. J., & Herrmann, H. (Eds.). (2002). Ageing, financial markets and monetary policy. Berlin: Springer.Google Scholar
  2. Birg, H. (Ed.). (2000). Prosperität in einer alternden Gesellschaft. Bad Homburg: Frankfurter Inst. – Stiftung Marktwirtschaft und Politik.Google Scholar
  3. Bossel, H. (1994). Modeling and simulation. Wellesley: A K Peters.Google Scholar
  4. Fisher, D. M. (2001). Lessons in mathematics a dynamic approach: With applications across the sciences. Lebanon, OH: iseesystems.Google Scholar
  5. Fisher, D. M. (2005). Modeling dynamic systems: Lessons for a first course. Teacher's and trainer's guide. Lebanon: iseesystems. Teacher's and Trainer's Guide.Google Scholar
  6. Forrester, J. W. (1968). Principles of systems. Waltham, MA: Pegasus Communications.Google Scholar
  7. Forrester, J. W. (1979). An alternative approach to economic policy: Macrobehavior from microstructure. In N. M. Kamrany & R. H. Day (Eds.), Economic issues of the eighties (pp. 80–108). Baltimore: Johns Hopkins University Press.Google Scholar
  8. Fricke, T. (2009, February 06). Zeit für eine Bad-Ideas Bank. Financial Times Deutschland, 05.02.2009. Retrieved February 06, 2009, from
  9. Gruescu, S. (2006). Population ageing and economic growth: Education policy and family policy in a model of endogenous growth. Contributions to economics. Heidelberg Neckar: Physica-Verlag.Google Scholar
  10. Howitt, P. (1999). Steady endogenous growth with population and R & D inputs growing. The Journal of Political Economy, 107(4), 715–730.CrossRefGoogle Scholar
  11. Jones, C. I. (1995a). R & D-based models of economic growth. The Journal of Political Economy, 103(4), 759–784.CrossRefGoogle Scholar
  12. Kaufmann, F.-X. (2005). Schrumpfende Gesellschaft: Vom Bevölkerungsrückgang und seinen Folgen. Edition Suhrkamp: Vol. 2406. Frankfurt am Main: Suhrkamp Verlag.Google Scholar
  13. Keynes, J. M. (1936). The general theory of employment, interest, and money: Reprint 1997. Amherst: Prometheus Books.Google Scholar
  14. Kleinewefers, H., & Jans, A. (1983). Einführung in die volkswirtschaftliche und wirtschaftspolitische Modellbildung. Vahlens Handbücher der Wirtschafts- und Sozialwissenschaften. München: Vahlen.Google Scholar
  15. Kremer, M. (1993). Population growth and technological change: One Million B.C. to 1990. The Quarterly Journal of Economics, 108(3), 681–716.CrossRefGoogle Scholar
  16. Leim, I. (2008). Die Modellierung der Fertilitätsentwicklung als Folge individueller Entscheidungsprozesse mit Hilfe der Mikrosimulation (Social science simulations, Vol. 5). Metropolis: Marburg.Google Scholar
  17. Malik, F. (2009, January 24). Mit herkömmlichen Methoden nicht zu lösen. Frankfurter Allgemeine Zeitung, 23.01.2009. Retrieved January 24, 2009, from
  18. Mass, N. J. (1980). Stock and flow variables and the dynamics of supply and demand. In J. Randers (Ed.), Elements of the system dynamics method (1st ed., pp. 95–114). Waltham, MA: Pegasus Communications.Google Scholar
  19. Milling, P. (2008). Verzögerungsstrukturen in System-Dynamics Modellen. In J. Strohhecke & J. Sehnert (Eds.), System Dynamics für die Finanzindustrie. Simulieren und analysieren dynamisch-komplexer Probleme (1st ed., pp. 210–229). Frankfurt am Main: Frankfurt-School-Verlag.Google Scholar
  20. Moffat, I. (1992). Causal and simulation modelling using system dynamics. Concepts and techniques in modern geography. Norwich: Environmental Publications.Google Scholar
  21. Ossimitz, G. (2000). Entwicklung systemischen Denkens: theoretische Konzepte und empirische Untersuchungen (Klagenfurter Beiträge zur Didaktik der Mathematik, Vol. 1). München: Profil-Verl.Google Scholar
  22. Richmond, B. (1994). Systems thinking: Let's get on with it. Delivered at the 1994 International systems dynamics conference in sterling. Retrieved August 05, 2009. Available at
  23. Romer, P. M. (1990). Endogenous technological change. The Journal of Political Economy, 98(5), 71–102.CrossRefGoogle Scholar
  24. Romer, P. M. (1994). The origins of endogenous growth. The Journal of Economic Perspectives, 8(1), 3–22.CrossRefGoogle Scholar
  25. Rothengatter, W., & Schaffer, A. (2006). Makro kompakt: Grundzüge der Makroökonomik. Physica-Lehrbuch. Heidelberg: Physica-Verlag.Google Scholar
  26. Saeed, K. (2008). Limits to growth concepts in classical economics (WP). WPI. Retrieved February 10, 2009. Available at
  27. Scheidges, R. (2009, January 09). Die Blindheit der Profis. Handelsblatt, 6, 9. Retrieved January 10, 2009, from
  28. Schumpeter, J. A. (1996c). The fundamental phenomenon of economic development: The theory of economic development (1934). In J. A. Schumpeter & K. R. Leube (Eds.), Manz Wirtschaft: Vol. 3. The essence of J.A.Schumpeter. Die wesentlichen Texte (pp. 182–214). Wien: Manz.Google Scholar
  29. Solow, R. M. (1956). A Contribution to the Theory of Economic Growth. The Quarterly Journal of Economics, 70(1), 65–94.CrossRefGoogle Scholar
  30. Sterman, J. D. (1994). Learning in and about complex systems. System Dynamics Review, 10(2–3), 291–330.CrossRefGoogle Scholar
  31. Sterman, J. D. (2004). Business dynamics: Systems thinking and modeling for a complex World. Boston, MA: McGraw-Hill.Google Scholar
  32. Strohhecker, J., & Fischer, M. M. (2008). Feedback-Diagramme. In J. Strohhecker & J. Sehnert (Eds.), System Dynamics für die Finanzindustrie. Simulieren und analysieren dynamisch-komplexer Probleme (1st ed., pp. 71–104). Frankfurt am Main: Frankfurt-School-Verlag.Google Scholar
  33. Verspagen, B. (2007). Innovation and economic growth. In J. Fagerberg, D. C. Mowery, & R. R. Nelson (Eds.), The Oxford handbook of innovation (pp. 487–513). Oxford: Oxford University Press.Google Scholar
  34. Wolstenholme, E. (1985). A methodology for qualitative system dynamics. In System Dynamics Society (Ed.), Proceedings of the 1985 International conference of the system dynamics society, Keystone, USA (pp. 1049–1057), Albany, NY.Google Scholar

Copyright information

© Physica-Verlag HD 2010

Authors and Affiliations

  1. 1.FOM Hochschule für Oekonomie & Management gGmbHHochschulstudienzentrum LeipzigLeipzigGermany

Personalised recommendations