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Spatio-temporal spread of competitive innovations: An ecological approach

  • Developments in Theory and Methodology
  • Published:
Papers of the Regional Science Association

Abstract

This study proposes the continuous deterministic interaction model of the spread of a set of competitive innovations in space and time, and presents the Volterra-Lotka type vectorial differential equation of the diffusion process. Three major themes are considered: i) the competitive exclusion principle and the Markov chain's approximation of the diffusion process in the neighbourhood of equilibrium points, ii) the structure of competition based on the existence of explicit analytical formulas for the solution of the non-linear Volterra-Lotka type vectorial differential equation for the totally antagonistic approximation of the diffusion process within the vicinity of quasi equilibrium curves; and iii) the structure of the social and physical environment, the main extreme tendencies of behaviour of adoption units and places of the environmental niches, which are the focuses of resistance and support for different competing innovations.

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References

  • Brown, L. A. 1980.Innovation diffusion: a new perspective. Columbus, Ohio: Department of Geography. The Ohio State University, Studies in the diffusion of innovation, Discussion Paper No 60.

    Google Scholar 

  • Brown, L. A. and Cox, K. R. 1976. Empirical regularities in the diffusion of innovation.Annals of the Association of American Geographers 61: 551–59.

    Article  Google Scholar 

  • Casetti, E. 1969. Why do diffusion processes conform to logistic trends?Geographical Analysis 1: 101–105.

    Google Scholar 

  • Casetti, E. 1972. Generating models by the expansion method: applications to geographical research.Geographical Analysis 4: 81–91.

    Google Scholar 

  • Casetti, E. and Semple, R. K. 1969. Concerning the testing of spatial diffusion hypotheses.Geographical Analysis 1: 254–59.

    Google Scholar 

  • Dodd, S. C. 1956. Testing message diffusion in harmonic logistic curves.Psychometrica 21: 191–205.

    Google Scholar 

  • Hagerstrand, T. 1952.The propagation of innovation waves. Lund: Gleerup, Lund Studies in Geography.

    Google Scholar 

  • Hardin, G. 1960. The competitive exclusion principle.Science 131: 1292–98.

    PubMed  Google Scholar 

  • Hudson, J. C. 1972.Geographical diffusion theory. Evanston: Northwestern University Press, Studies in Geography.

    Google Scholar 

  • Katz, E. 1968. Interpersonal influence. InInternational encyclopedia of the social sciences, Vol. 4: 179.

  • MacArthur, R. H. 1972.Geographical ecology: patterns in the distribution of species. New York, Evanston, San Francisco, London: Harper & Row.

    Google Scholar 

  • Pearl, R. 1925.The biology of population growth. New York: Alfred Knopf.

    Google Scholar 

  • Slobodkin, L. B. 1961.Growth and regulation of animal populations. New York: Holt, Rinehart & Winston.

    Google Scholar 

  • Sonis, M. 1980. Push-pull analysis of migration flows.Geographical Analysis 12: 80–97.

    Google Scholar 

  • Sonis, M. 1981. Diffusion of competitive innovations. InModeling and simulation, Part 3: Socio-Economics and Biomedical, Proceedings of the Twelfth Annual Pittsburgh Conference, Vol. 12, eds. W. G. Vogt and M. H. Mickle, 1037–41.

  • Sonis, M. 1982. The decomposition principle versus optimization in regional analysis — the inverted problem of multiobjective programming. Proceedings of the Athens 1981 European Colloque in Regional Science, Eds. G. P Chiotis, D. A. Tsoukalas, H. D. Louri. Athens: Eptalofoe, 35–60.

    Google Scholar 

  • Sonis, M. 1983. Competition and environment — a theory of temporal innovation diffusion. InEvolving geographical structures, Eds. D. A. Griffith and A. C. Lea. The Hague: Martinus Nijhoff, 99–129.

    Google Scholar 

  • Volterra, V. 1931. Variazioni e fluttuazioni del numero d'individui in specie animali conviventi, translation in an Appendix to Chapman'sAnimal ecology. New York.

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Sonis, M. Spatio-temporal spread of competitive innovations: An ecological approach. Papers of the Regional Science Association 52, 159–174 (1983). https://doi.org/10.1007/BF01944100

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