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Business establishment mobility behavior in urban areas: a microanalytical model for the City of Hamilton in Ontario, Canada

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Abstract

We present a microanalytical firm mobility model for the City of Hamilton, Canada, developed with data from the Statistics Canada Business Register. Contributing to the scarce literature on firm migration behavior, we explore and model the determinants of mobility among small and medium size firms who retained less than 200 employees between 1996 and 1997. Our exploratory results suggest that short distance moves are more common and tend to occur among smaller firms. Econometric modeling results support these assertions and indicate that the willingness to move can be explained by a firm’s internal characteristics (e.g. age, size, growth and industry type) as well as location factors related to the urban environment where the firm is located. The modeling results will serve as input for the development of an agent-based firmographic decision support system that can be used to inform the planning process in the study area.

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References

  • Bade F (1983) Location behavior and the mobility of firms in West Germany. Urban Stud 20:279–297

    Article  Google Scholar 

  • Baldwin J, Gray T, Johnson J, Proctor J (1997) Failing concerns: business bankruptcy in Canada. Statistics Canada, Ottawa, Catalogue no. 61-525-XIE

  • Ben-Akiva M, Lerman S (1985) Discrete choice analysis: theory and application to travel demand. MIT, Cambridge

    Google Scholar 

  • Bliemer M, DeBok M (2006) Infrastructure and firm dynamics: Calibration of microsimulation model for firms in the Netherlands. Transp Res Rec J Transp Res Board 1977:132–144

    Google Scholar 

  • Bourne L (1989) Are new urban forms emerging? Empirical tests for Canadian urban areas. Can Geogr 33:312–328

    Google Scholar 

  • Brouwer A, Mariotti I, Van Ommeren J (2004) The firm relocation decision: An empirical investigation. Ann Reg Sci 38:335–347

    Article  Google Scholar 

  • Dijk J van, Pellenbarg P (2000) Firm relocation decisions in the Netherlands: an ordered logit approach. Pap Reg Sci 79:191–219

    Article  Google Scholar 

  • Fischer MM, Nijkamp P (1985) Developments in exploratory discrete spatial data and choice analysis. Progr Human Geogr 9:515–551

    Google Scholar 

  • Hunt J, Khan J, Abraham J (2003) Microsimulating firm spatial behavior. In: Paper presented at the eighth international conference on computers in urban planning and urban management “CUPUM”, Sendai, Japan

  • Kanaroglou P, South R (1999) Can urban form affect transportation and energy use and emission? An analysis of potential growth patterns for the Hamilton Census Metropolitan Area. Energy Study Rev 9:22–40

    Google Scholar 

  • Lerman S, Liu T (1984) Microlevel econometric analysis of retail closure. In: Pitfield D (ed) Discrete choice models in regional science. Pion Limited, London, pp 181–210

    Google Scholar 

  • Maoh H (2005) Modeling firm demography in urban areas with an application to Hamilton, Ontario: towards an agent-based microsimulation model. Unpublished PhD Thesis, School of Geography and Earth Sciences, McMaster University, Hamilton

  • Maoh H, Kanaroglou P (2007) Geographic clustering of firms and urban form: a multivariate analysis. J Geogr Syst 9:29–52

    Article  Google Scholar 

  • McFadden D (1974) Conditional logit analysis of qualitative choice behavior. In: Zarembka P (ed) Frontiers in econometrics. Academic, New York, pp 105–142

    Google Scholar 

  • McFadden D (1978) Modeling the choice of residential location. In: Karlqvist A, Lundqvist L, Snickars F, Weibull J (eds) Spatial interaction theory and planning models. North Holland Amsterdam, pp 75–96

  • Miller E, Hunt J, Abraham J, Salvini P (2004) Microsimulating urban systems. Comput Environ Urban Syst 28:9–44

    Article  Google Scholar 

  • Moeckel R (2005) Microsimulation of firm location decision. In: Paper presented at the ninth international conference on computers in urban planning and urban management “CUPUM”, London, England

  • Pellenbarg P, Wissen L van, Dijk J van (2002) Firm relocation: state of the art and research prospects. Discussion Paper No. 02D31, SOM Research School, University of Groningen

  • Waddell P, Borning A, Noth M, Freier N, Becke M, Ullfarsson G (2003) Microsimulation of urban development and location choices: design and implementation of UrbanSim. Netw Spatial Econ 3:43–67

    Article  Google Scholar 

  • Wegener M, Spiekermann K (1996) The potential of microsimulation for urban models. In: Clarke GP (ed) Microsimulation for urban and regional policy analysis. Pion, London, pp 149–163

    Google Scholar 

  • Wissen L van (2000) A micro-simulation model of firms: applications of concepts of the demography of the firm. Pap Reg Sci 79:111–134

    Article  Google Scholar 

Download references

Acknowledgment

The authors are thankful to Statistics Canada and the Social Sciences and Humanities Research Council of Canada (SSHRC) for supporting this research.

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Correspondence to Hanna Maoh.

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Maoh, H., Kanaroglou, P. Business establishment mobility behavior in urban areas: a microanalytical model for the City of Hamilton in Ontario, Canada. J Geograph Syst 9, 229–252 (2007). https://doi.org/10.1007/s10109-007-0043-3

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  • DOI: https://doi.org/10.1007/s10109-007-0043-3

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