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Urban and regional economic impacts of transportation investment: A critical assessment and proposed methodology

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  • Berechman, Joseph

Abstract

Macro-level studies of the effect of transportation infrastructure investment on regional economic growth have shown positive relationships between the level of public investment and the rate of private capital formation, employment, and output growth. At a microlevel, however, it is not quite clear how to model and measure the effects of an additional investment in a transportation facility like a highway or rail link on local economic growth. This issue is further exacerbated by the fact that negative environmental externalities from infrastructure expansion are mainly experienced at the urban and regional level and thus strongly affect their economic well being. Given these realities, this paper examines the critical issues involved in analyzing the economic effects of local infrastructure investments and then proceeds to propose a model which shows analytically the impact of changes in accessibility, caused by infrastructure expansion, on location and output decisions, and on the use of labor by production firms.

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  • Berechman, Joseph, 1994. "Urban and regional economic impacts of transportation investment: A critical assessment and proposed methodology," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(4), pages 351-362, July.
    • Handle: RePEc:eee:transa:v:28:y:1994:i:4:p:351-362
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    Cited by:

    1. Phuong Nguyen-Hoang, 2015. "Volatile earmarked revenues and state highway expenditures in the United States," Transportation, Springer, vol. 42(2), pages 237-256, March.
    2. Leitham, Scott & McQuaid, Ronald W. & D. Nelson, John, 2000. "The influence of transport on industrial location choice: a stated preference experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(7), pages 515-535, September.
    3. van den Heuvel, Frank P. & Rivera, Liliana & van Donselaar, Karel H. & de Jong, Ad & Sheffi, Yossi & de Langen, Peter W. & Fransoo, Jan C., 2014. "Relationship between freight accessibility and logistics employment in US counties," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 91-105.
    4. Rivera, Liliana & Sheffi, Yossi & Welsch, Roy, 2014. "Logistics agglomeration in the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 222-238.
    5. Sarmento, Joaquim Miranda & Renneboog, Luc & Verga-Matos, Pedro, 2017. "Measuring highway efficiency : A DEA approach and the Malquist index," Other publications TiSEM 23264815-321e-45a3-83ee-9, Tilburg University, School of Economics and Management.
    6. Goulias, Konstadinos G., 2007. "An Optimal Resource Allocation Tool for Urban Development Using GIS-based Accessibility Measures and Stochastic Frontier Analysis," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9bx3k0h2, Institute of Transportation Studies, UC Berkeley.
    7. Bråthen, Svein & Hervik, Arild, 1997. "Strait crossings and economic development : Developing economic impact assessment by means of ex post analyses," Transport Policy, Elsevier, vol. 4(4), pages 193-200, October.
    8. Kingsley E. Haynes, 1997. "Labor markets and regional transportation improvements: the case of high-speed trains An introduction and review," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 57-76.
    9. Goulias, Konstadinos G. & Golob, Thomas F. & Yoon, Seo Youn, 2008. "A Statewide Optimal Resource Allocation Tool Using Geographic Information Systems, Spatial Analysis, and Regression Methods," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2gt23996, Institute of Transportation Studies, UC Berkeley.

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