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Erschienen in: Transportation 5/2011

01.09.2011

Transport infrastructure and regional economic growth: evidence from China

verfasst von: Junjie Hong, Zhaofang Chu, Qiang Wang

Erschienen in: Transportation | Ausgabe 5/2011

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Abstract

This article develops a multi-dimensions measurement of transport infrastructure and examines the linkage between transport infrastructure and regional economic growth. A panel data model is estimated using data from a sample of 31 Chinese provinces from 1998 to 2007. The results provide strong evidence that transport infrastructure plays an important role in economic growth. Both land transport and water transport infrastructure have strong and significant impacts, while the contribution of airway transport infrastructure is weak. Furthermore, land transport infrastructure contributes more to economic growth in locations with poor land transport infrastructure, while the investment in water transport infrastructure contribute positively to economic growth only after the investment scale exceeds a threshold level. These results are robust to a variety of alternative methods, the exclusion of possible outliers, and consideration of endogeneity. A retrospective analysis shows that uneven distribution of transport infrastructure is an important reason behind economic disparities across Chinese regions.

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Fußnoten
1
Thanks for an anonymous referee to raise this point.
 
2
Highway is defined as the roadway with high-quality pavement in order to ensure high-speed transportation. It is the highest level in terms of road conditions among three types of roadways in China (i.e., second-class roadway, first-class roadway, and highway).
 
3
PCN is a measurement of the pavement condition of runway. It, together with the length of runway, determines what kind of aircraft an airport can service.
 
4
Factor analysis is a technique used to reduce a large set of variables to a smaller set of underlying factors, which helps to detect the presence of meaningful patterns among the original variables. Factor analysis is used in this study to develop a comprehensive index that can capture both qualitative and quantitative characteristics of each type of transport infrastructure. In addition, it also helps to avoid the multicolinearity issue in the econometric model.
 
5
An implicit assumption for new growth theory by Barro (1990) is that the market structure is competitive. The authors believe that this assumption is held in China at the macroeconomic level. According to the first economic census in China, there were 3.25 million enterprises (among them, only 0.192 million were state-owned), and 214.604 million workers at the end of 2004. The huge amount of enterprises, employees and consumers implies a competitive market. Furthermore, the importance of state-owned enterprises becomes weaker in the Chinese economy. Except several strategic sectors (such as telecommunications, oil and petroleum), non-state-owned enterprises have become the driving force and dominant power in most sectors.
 
6
The data after 2007 were not available when we did this research. In addition, The Chinese government invested heavily in infrastructure to deal with the Asian financial crisis in 1997. To remove the outliers, we selected the year of 1998–2007 as the study period of this research. Another reason for selecting this study period is that some key variables are not available before 1997.
 
7
The GDP deflators were obtained from the World Bank official website. Per capita investment at current prices was obtained from China Statistical Yearbook.
 
8
We use Stata routine xtivreg2 developed by Schaffer (2007).
 
9
The 2SLS fixed-effects estimation is a standard method to deal with causality issue in the literature.
 
10
As usual, all other variables except transport-related variables are treated as exogenous.
 
11
Hansen’s J-statistics are insignificant at 10% level in column 5 of Table 5, columns 4 and 5 of Table 6.
 
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Metadaten
Titel
Transport infrastructure and regional economic growth: evidence from China
verfasst von
Junjie Hong
Zhaofang Chu
Qiang Wang
Publikationsdatum
01.09.2011
Verlag
Springer US
Erschienen in
Transportation / Ausgabe 5/2011
Print ISSN: 0049-4488
Elektronische ISSN: 1572-9435
DOI
https://doi.org/10.1007/s11116-011-9349-6

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