Journal of Transportation Research

Journal of Transportation Research

The effect of transport infrastructure spillover on Industrial concentration in Iranian provinces

Document Type : Original Article

Authors
1 Associate Professor, Department of Economics, Shiraz University, Shiraz, Iran.
2 Ph.D., Candidate, Department of Economics, Shiraz University, Shiraz, Iran.
Abstract
The aim of this study analyses the spatial spillover effects of transport infrastructure on industrial concentration in the provinces of Iran. More specifically, it examined the direct, indirect (spatial spillover), and total effects of infrastructure on the industrial concentration of the provinces. To this end, the econometric model design and the maximum likelihood were used to estimate a spatial Durbin panel data model for the provinces over the period 2001 to 2015. The results showed that transport infrastructure exerts a positive and statistically significant direct effect on the economic growth of the provinces. The transport infrastructure in each province has a significant and positive indirect effect on the industrial concentration of the other provinces, indicating that improvements to the infrastructure of the specific provinces have spatial spillover effects on the industrial concentration of the other provinces. the infrastructure of the specific provinces have spatial spillover effects on the industrial concentration of the other provinces.
Keywords
Subjects

-اکبریان، رضا، و قاعدی، علی (1390). سرمایه‎گذاری در زیرساخت‎های اقتصادی و بررسی تأثیر آن بر رشد اقتصادی. پژوهشهای رشد و توسعه اقتصادی، 3 (1)، 48-11.
-شهنازی، روح اله، و دهقان شبانی، زهرا (1395). تحلیل تأثیر زیرساخت‎های حمل و نقل بر تمرکز فعالیت‎های صنعتی در استان‎های ایران. تحقیقات اقتصادی، 4(51)، 908-887.
-Arbués, P., Baños, J. F., & Mayor, M. (2015). The spatial productivity of transportation infrastructure. Transportation Research Part A: Policy and Practice, 75, 166-177.
-Atella, V., Belotti, F., Depalo, D., & Mortari, A. P. (2014). Measuring spatial effects in the presence of institutional constraints: The case of Italian Local Health Authority expenditure. Regional Science and Urban Economics, 49, 232-241.
-Behrens, K., Gaigne, C., & Thisse, J. F. (2009). Industry location and welfare when transport costs are endogenous. Journal of Urban Economics, 65(2), 195-208.
-Berechman, J., Ozmen, D., & Ozbay, K. (2006). Empirical analysis of transportation investment and economic development at state, county and municipality levels. Transportation, 33(6), 537-551.
-Buurman, J., & Rietveld, P. (1999). Transport infrastructure and industrial location: the case of Thailand. Review of Urban & Regional Development Studies, 11(1), 45-62.
-Cohen, J. P., & Paul, C. J. M. (2004). Public infrastructure investment, interstate spatial spillovers, and manufacturing costs. Review of Economics and Statistics, 86(2), 551-560.
-Frye, D. (2014). Transportation Networks and the Geographic Concentration of Industry. Center for Economic Analysis, Department of Economics, University of Colorado at Boulder.
-Graham, D. J. (2007). Agglomeration, productivity and transport investment. Journal of transport economics and policy (JTEP), 41(3), 317-343.
-Hadri, K., & Rao, Y. (2008). Panel stationarity test with structural breaks. Oxford Bulletin of Economics and statistics, 70(2), 245-269.
-Holl, A. (2004). Transport infrastructure, agglomeration economies, and firm birth: empirical evidence from Portugal. Journal of Regional Science, 44(4), 693-712.
-LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics (Statistics, Textbooks and Monographs).
CRC Press.‏
-Li, J., Wen, J., & Jiang, B. (2017). Spatial spillover effects of transport infrastructure in Chinese new silk road economic belt. International Journal of E-Navigation and Maritime Economy, 6, 1-8.
-Martin, P., & Ottaviano, G. I. (2001). Growth and agglomeration. International Economic Review, 42(4), 947-968.
-Minerva, G. A., & Ottaviano, G. I. (2009). Endogenous growth theories: Agglomeration benefits and transportation costs. Handbook of Regional Growth and Development Theories. Edward Elgar, Cheltenham.
-Moran, P. A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17-23.
-‏Nakamura, R., & Paul, C. J. M. (2009). Measuring agglomeration. Handbook of Regional Growth and Development Theories, 305-306.
-Tong, T., Yu, T. H. E., Cho, S. H., Jensen, K., & Ugarte, D. D. L. T. (2013). Evaluating the spatial spillover effects of transportation infrastructure on agricultural output across the United States. Journal of Transport Geography, 30, 47-55. ‏
-Tsubuku, M. (2016). Endogenous transport costs and firm agglomeration in new trade theory. Papers in Regional Science, 95(2), 353-362.
-Vega, S. H., & Elhorst, J. P. (2013). On spatial econometric models, spillover effects, and W. In 53rd ERSA Congress, Palermo, Italy.
-Venables, A. J. (2006). Shifts in economic geography and their causes (No. 767). Centre for Economic Performance, London School of Economics and Political Science.
-Venables, A. J. (2007). Evaluating urban transport improvements: cost–benefit analysis in the presence of agglomeration and income taxation. Journal of Transport Economics and Policy (JTEP), 41(2), 173-188.
-Xueliang, Z. H. A. N. G. (2008). Transport infrastructure, spatial spillover and economic growth: Evidence from China. Frontiers of Economics in China, 3(4), 585-597.
-Yu, N., De Jong, M., Storm, S., & Mi. J. (2013). Spatial spillover effects of transport infrastructure: evidence from Chinese regions. Journal of Transport Geography, 28, 56-66.‏