Exploration of Location Influences on Firm Survival Rates with Parametric Duration Models
Abstract
This study explored the influences of location on business firm survival rates with the use of parametric duration models applied to a data set. Of the variables included, those found to be the most significant were accessibility to infrastructure supply, regional effects, demographic and economic aspects, and rent price. Analyses also were depicted by firm type (economic activity sector) along with interactions between them and some location attributes. The study led to a better understanding of firm survival patterns with respect to urban characteristics. The results presented in this paper are part of a demographic approach, which in turn is part of a multiagent system to simulate the coevolution of firm dynamics and changes in activity-travel patterns.
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References
1. Abraham J. H., and Hunt J. D. Firm Location in the MEPLAN Model of Sacramento. In Transportation Research Record: Journal of the Transportation Research Board, No. 1685, TRB, National Research Council, Washington, D.C., 1999, pp. 187–198.
2. Bliemer M. C. J., and De Bok M. Infrastructure and Firm Dynamics: Calibration of a Micro Simulation Model for Firms in the Netherlands. In Transportation Research Record: Journal of the Transportation Research Board, No. 1977, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 132–144.
3. De Bok M., and Sanders F. Firm Location and the Accessibility of Locations: Empirical Results from the Netherlands. In Transportation Research Record: Journal of the Transportation Research Board, No. 1902, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 35–43.
4. Edwards L. Toward a Process Model of Office-Location Decision Making. Environment and Planning A, Vol. 15, No. 10, 1983, pp. 1327–1342.
5. Elgar I., and Miller E. J. Conceptual Model of Location of Small Office Firms. In Transportation Research Record: Journal of the Transportation Research Board, No. 1977, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 190–196.
6. Elgar I., and Miller E. J. Office Location Decisions: Analysis of the Results of SOLD. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
7. Elgar I., Farooq B., and Miller E. J. Modeling Location Decisions of Office Firms: Introducing Anchor Points and Constructing Choice-Sets into the Model System. Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C., 2009.
8. Khan A. S., Abraham J. E., and Hunt J. D. A System for Microsimulating Business Establishments: Analysis, Design and Results. International Colloquium on the Behavioural Foundations of Integrated Land-Use and Transportation Models. Quebec City, Quebec, Canada, 2002.
9. Maoh H. F., Kanaroglou P. S., and Buliung R. N. Modelling the Location of Firms within an Integrated Transport and Land-use Model for Hamilton, Ontario. International Colloquium on the Behavioural Foundations of Integrated Land-Use and Transportation Models, Quebec City, Quebec, Canada, 2002.
10. Moeckel R. Simulation of Firms as a Planning Support System to Limit Urban Sprawl of Jobs. Environment and Planning B: Planning and Design, Vol. 36, No. 5, 2009, pp. 883–905.
11. Waddell P., Borning A., Noth M., Freier N., Becke M., and Ullfarsson G. Microsimulation of Urban Development and Location Choices: Design and Implementation of UrbanSim. Networks and Spatial Economics, Vol. 3, No. 1, 2003, pp. 43–67.
12. Van Wissen L. J. G. A Micro-Simulation Model of Firms: Applications of Concepts of Demography of the Firm. Papers in Regional Science, Vol. 79, No. 2, 2000, pp. 111–134.
13. Manzato G. G., Arentze T. A., Timmermans H. J. P., and Ettema D. Location and Accessibility Mediated Influences on Office Firm Closure Rates: A Proportional Hazard Model. International Journal of Urban Sciences, Vol. 14, No. 1, 2010, pp. 1–15.
14. Audretsch D. B., and Mahmood T. New Firm Survival: New Results Using a Hazard Function. The Review of Economics and Statistics, Vol. 77, No. 1, 1995, pp. 97–103.
15. Perez S. E., Llopis A. S., and Llopis J. A. S. The Determinants of Survival of Spanish Manufacturing Firms. Review of Industrial Organization, Vol. 25, No. 3, 2004, pp. 251–273.
16. Görg H., and Strobl E. Multinational Companies, Technology Spillovers and Firm Survival: Evidence from Irish Manufacturing. Research paper. Centre for Research on Globalization and Labour Markets, 2000. www.gep.org.uk/shared/shared_levpublications/Research_Papers/2000/00_12.pdf.
17. Fotopoulos G., and Louri H. Location and Survival of New Entry. Small Business Economics, Vol. 14, No. 4, 2000, pp. 311–321.
18. Stearns T. M., Carter N. M., Reynolds P. D., and Williams M. L. New Firm Survival: Industry, Strategy, and Location. Journal of Business Venturing, Vol. 10, No. 1, 1995, pp. 23–42.
19. Kleinbaum D. G., and Klein M. Survival Analysis: A Self-Learning Text. Springer, New York, 2005.
20. Kiefer N. M. Economic Duration Data and Hazard Functions. Journal of Economic Literature, Vol. 26, No. 2, 1988, pp. 646–679.
21. Allison P. D. Event History Analysis. In Handbook of Data Analysis (Bryman A. E., and Hardy M., eds.), Sage Publications, Thousand Oaks, Calif., 2004, pp. 369–386.
22. Collett D. Modelling Survival Data in Medical Research. Chapman & Hall, London, 1994.
23. Hosmer D. W. Jr., and Lemeshow S. Applied Survival Analysis: Regression Modeling of Time to Event Data. Wiley & Sons Inc., New York, 1999.
24. Norušis M. J. SPSS 16.0 Advanced Statistical Procedures Companion. Prentice Hall Inc., Upper Saddle River, N.J., 2008.
25. Smith P. J. Analysis of Failure and Survival Data. Chapman & Hall/CRC, Boca Raton, Fla., 2002.
26. Vittinghoff E., Glidden D. V., Shiboski S. C., and McCulloch C. E. Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. Springer, New York, 2005.
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Article first published online: January 1, 2011
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