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Highways and Development in the Peripheral Regions of China

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  • Xu, Hangtian
  • Nakajima, Kentaro

Abstract

This paper estimates the effects of highways (Gaosu Gonglu) on economic development in China’s county-level cities from 1998 to 2007, a period in which China experienced sharp growth in highway mileage, using a micro level data set on industry and highway placement and the double difference propensity score matching method. After extracting the core regions, empirical estimates indicate that highway placement promotes industrial development in related cities with higher output and more investments, and these results are robust to two different checks. However, county-level cities more than 300 km away from large cities do not benefit from new highways. Furthermore, highways tend to promote the development of heavy industry but not that of light industry. Labor productivity exhibits few positive effects.

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File URL: http://hermes-ir.lib.hit-u.ac.jp/rs/bitstream/10086/25466/1/No33-dp.pdf
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Bibliographic Info

Paper provided by Institute of Economic Research, Hitotsubashi University in its series PRIMCED Discussion Paper Series with number 33.

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Length: 33 p.
Date of creation: Jan 2013
Date of revision:
Handle: RePEc:hit:primdp:33

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Keywords: transport infrastructure project; double di erence propensity score matching (DD-PSM); regional development;

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  1. Puga, Diego, 1999. "The rise and fall of regional inequalities," European Economic Review, Elsevier, vol. 43(2), pages 303-334, February.
  2. Venables, Anthony J, 1996. "Equilibrium Locations of Vertically Linked Industries," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 341-59, May.
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  8. Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers 20035, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
  9. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
  10. Behrens, Kristian & Gaigné, Carl & Thisse, Jacques-François, 2009. "Industry location and welfare when transport costs are endogenous," Journal of Urban Economics, Elsevier, vol. 65(2), pages 195-208, March.
  11. Holl, Adelheid, 2004. "Manufacturing location and impacts of road transport infrastructure: empirical evidence from Spain," Regional Science and Urban Economics, Elsevier, vol. 34(3), pages 341-363, May.
  12. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-99, June.
  13. Nathaniel Baum-Snow, 2007. "Did Highways Cause Suburbanization?," The Quarterly Journal of Economics, MIT Press, vol. 122(2), pages 775-805, 05.
  14. Rosa Sanchis-Guarner, 2012. "Driving Up Wages: The Effects of Road Construction in Great Britain," SERC Discussion Papers 0120, Spatial Economics Research Centre, LSE.
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