GLOBAL TRANSPORTATION EXPENDITURE AND ECONOMIC PERFORMANCE: A COMPREHENSIVE ANALYSIS OF TRANSPORTATION EXPENDITURE'S IMPACT ON ECONOMIC DEVELOPMENT IN KEY GLOBAL ECONOMIES (1990-2023)

Authors

  • Diana Al-Nabulsi Department of Civil and Construction Engineering, WESTERN MICHIGAN UNIVERSITY, KALAMAZOO, MI 49008, USA
  • Ali Alhawiti Civil Engineering Department, Faculty of Engineering, UNIVERSITY OF TABUK, TABUK 71491, SAUDI ARABIA
  • Valerian Kwigizile Department of Civil and Construction Engineering, WESTERN MICHIGAN UNIVERSITY, KALAMAZOO, MI 49008, USA
  • Jun- Seok Oh Department of Civil and Construction Engineering, WESTERN MICHIGAN UNIVERSITY, KALAMAZOO, MI 49008, USA
  • Ahnaf Shahin Chowdhury Department of Civil and Construction Engineering, WESTERN MICHIGAN UNIVERSITY, KALAMAZOO, MI 49008, USA

DOI:

https://doi.org/10.21837/pm.v24i41.2019

Keywords:

Transportation Economics, GDP, transportation expenditure, econometric model, Hierarchical Linear Regression (HLR)

Abstract

This study examines the relationship between transportation expenditure and economic performance across 41 countries over the period 1990–2023, highlighting the global role of transportation investment in economic development. Using descriptive statistics, correlation analysis, and hierarchical linear regression, the research investigates the association between gross domestic product (GDP) and multiple dimensions of transportation expenditure. The results indicate a strong positive relationship between GDP and total transportation expenditure, as well as passenger transportation expenditure, underscoring the close linkage between transportation investment and economic activity. In contrast, a significant negative relationship is observed between GDP and transportation expenditure as a share of GDP, suggesting that higher-income countries invest more in transportation in absolute terms while allocating a smaller proportion of national output to this sector, likely reflecting efficiency gains and economies of scale in mature transportation systems. Hierarchical regression results indicate that transportation expenditure is a statistically significant predictor of GDP, with the baseline model accounting for a substantial share of cross-country variation. The inclusion of relative expenditure measures yields modest additional explanatory power, with the second model providing the most stable specification by effectively mitigating multicollinearity. Overall, the findings emphasize the continued importance of sustained transportation investment, while highlighting differences in investment intensity across stages of economic development. For developing economies, strategic and efficient transportation investment remains critical for supporting long-term economic growth. The study contributes to the literature by offering a comprehensive, cross-national perspective on the scaling of transportation expenditure with economic performance and its implications for transportation policy and planning.

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References

Washington, S., Karlaftis, M. G., Mannering, F., & Anastasopoulos, P. (2020). Statistical and econometric methods for transportation data analysis. CRC press.

Yousefi, J., Ashtab, S., Yasaei, A., George, A., Mukarram, A., & Sandhu, S. S. (2023). Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework. Logistics, 7(2), 29.

Limani, Y. (2016). Applied relationship between transport and economy. IFAC-PapersOnLine, 49(29), 123-128.

De Palma, A., Lindsey, R., Quinet, E., & Vickerman, R. (Eds.). (2011). A handbook of transport economics. Edward Elgar Publishing.

Ivanova, O. (2003). The role of transport infrastructure in regional economic development. The Institute of Transport Economics (TØI). TØI Report, 671, 2003.

Bröcker, J. (2004). Computable general equilibrium analysis in transportation economics. In Handbook of transport geography and spatial systems (Vol. 5, pp. 269-289). Emerald Group Publishing Limited.

Harmatuck, D. J. (1991). Economies of scale and scope in the motor carrier industry: an analysis of the cost functions for seventeen large LTL common motor carriers. Journal of Transport Economics and Policy, 135-151.

Kulshreshtha, M., Nag, B., & Kulshrestha, M. (2001). A multivariate cointegrating vector auto regressive model of freight transport demand: evidence from Indian railways. Transportation Research Part A: Policy and Practice, 35(1), 29-45.

Koo, T. T., Tan, D. T., & Duval, D. T. (2013). Direct air transport and demand interaction: A vector error-correction model approach. Journal of Air Transport Management, 28, 14-19.

Alstadt, B., Weisbrod, G., & Cutler, D. (2012). Relationship of transportation access and connectivity to local economic outcomes: Statistical analysis. Transportation Research Record, 2297(1), 154-162.

Wang, H. L., & Shi, Z. K. (2012). Hierarchical regression model for analyzing truck freight demand. Applied Mechanics and Materials, 178, 2752-2756.

Maniquiz, M. C., Lee, S., Lee, E., & Kim, L. H. (2009). Development of statistical linear regression model for metals from transportation land uses. Water Science and Technology, 59(12), 2495-2501.

National Academies of Sciences, Engineering, and Medicine. 2002. Key Transportation Indicators: Summary of a Workshop. Washington, DC: The National Academies Press.

Gao, Y., Zhang, Y., Li, H., Peng, T., & Hao, S. (2016). Study on the relationship between comprehensive transportation freight index and GDP in China. Procedia engineering, 137, 571-580.

Weisbrod, G., & Reno, A. (2009). Economic impact of public transportation investment. Washington, DC: American public transportation association.

Cigu, E., Agheorghiesei, D. T., Gavriluță, A. F., & Toader, E. (2018). Transport infrastructure development, public performance and long-run economic growth: a case study for the Eu-28 countries. Sustainability, 11(1), 67.

Berechman, J.; Ozmen, D.; Ozbay, K. Empirical analysis of transportation investment and economic development at state, county and municipality levels. Transportation 2006, 33, 537–551.

Hong, J.J.; Chu, Z.F.; Wang, Q. Transport infrastructure and regional economic growth: Evidence from China. Transportation 2011, 38, 737–752.

Boopen, S. (2006). Transport infrastructure and economic growth: Evidence from Africa using dynamic panel estimates. The empirical economics letters, 5(1), 37-52.

Kessides, C. (1993). The contributions of infrastructure to economic development: a review of experience and policy implications. World Bank Discussion Paper 213, The World Bank, Washington, DC (1993).

Li, B., Gao, S., Liang, Y., Kang, Y., Prestby, T., Gao, Y., & Xiao, R. (2020). Estimation of regional economic development indicator from transportation network analytics. Scientific reports, 10(1), 2647.

Kim, S., & Lee, Y. H. (2002). Public sector capital and the production efficiency of US regional manufacturing industries. The Japanese Economic Review, 53(4), 466-477.

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Published

2026-04-13

How to Cite

Al-Nabulsi, D., Alhawiti, A., Kwigizile, V., Oh, J.-. S., & Chowdhury, A. S. (2026). GLOBAL TRANSPORTATION EXPENDITURE AND ECONOMIC PERFORMANCE: A COMPREHENSIVE ANALYSIS OF TRANSPORTATION EXPENDITURE’S IMPACT ON ECONOMIC DEVELOPMENT IN KEY GLOBAL ECONOMIES (1990-2023). PLANNING MALAYSIA, 24(41). https://doi.org/10.21837/pm.v24i41.2019