2018
DOI: 10.1016/j.econmod.2018.03.014
|View full text |Cite
|
Sign up to set email alerts
|

Does infrastructure have a transitory or longer-term impact? Evidence from China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
4
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 16 publications
(6 citation statements)
references
References 34 publications
1
4
0
Order By: Relevance
“…The magnitude of the coefficient is 0.126 or 0.148, in the range of estimates in cross-country studies which use samples including developing economies and employ indicators of individual infrastructural sectors. The coefficients are also similar in size to those found on electricity and telecoms infrastructure for a full sample of Chinese provinces in Zhang and Ji (2018) and that on transport stocks in Yu et al (2012). The magnitude of infrastructure's coefficient in our analysis is relatively larger in comparison with the results of Calderón et al (2015) in which a composite infrastructure indicator is registered with a coefficient around 0.8 for a sample of 88 industrial and developing countries including China.…”
Section: Estimation Results From Long-run Cointegration Relationshipsupporting
confidence: 75%
“…The magnitude of the coefficient is 0.126 or 0.148, in the range of estimates in cross-country studies which use samples including developing economies and employ indicators of individual infrastructural sectors. The coefficients are also similar in size to those found on electricity and telecoms infrastructure for a full sample of Chinese provinces in Zhang and Ji (2018) and that on transport stocks in Yu et al (2012). The magnitude of infrastructure's coefficient in our analysis is relatively larger in comparison with the results of Calderón et al (2015) in which a composite infrastructure indicator is registered with a coefficient around 0.8 for a sample of 88 industrial and developing countries including China.…”
Section: Estimation Results From Long-run Cointegration Relationshipsupporting
confidence: 75%
“…Specifically, the positive effect of rail network density on regional economic growth is found to be significant in the east and north of China and the positive effect of accessibility change is found to be more significant in the Middle Reaches of Yangtze River [29]. Interestingly, one recent study also found that railway infrastructure falls short of other physical capital in promoting aggregate output in China [30]. Additionally, China's high-speed rail facilitate market integration, mitigate the cost of megacity growth, and improve the sustainability of development [19,22].…”
Section: Literature Reviewmentioning
confidence: 95%
“…Improved transportation infrastructure promotes economic growth by allowing enterprises to access the market, moving raw materials from various locations, and stimulating industrial production. (iii) Improved logistics infrastructure attracts more foreign direct investment, which is a critical engine for host country economic growth (Hong, 2007; Zhang & Ji, 2018) and (iv) Advanced logistics infrastructure reduces transportation costs and thus promotes industrialization, resulting in increased productivity, market accessibility, and local firm competition(Liu & Zhang, 2018; Murakami et al, 2016).…”
Section: Theorizing the Port-economic Linkages And Research Hypothesismentioning
confidence: 99%