2021
DOI: 10.1016/j.retrec.2020.100974
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Causality between transportation infrastructure and economic development in Pakistan: An ARDL analysis

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Cited by 36 publications
(29 citation statements)
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“…The long run and short run results in this study are supported by the findings from variance decomposition (Figure 3) results which shows a significant contribution of railway lines to economic growth overtime. More so, this positive and significant effect of railway lines on economic growth is consistent with the study of Alam et al (2020) who also found a positive effect of transportation infrastructure on economic growth in Pakistan. More so, the findings of this study are consistent with a number of cross-country studies.…”
Section: Discussionsupporting
confidence: 90%
See 1 more Smart Citation
“…The long run and short run results in this study are supported by the findings from variance decomposition (Figure 3) results which shows a significant contribution of railway lines to economic growth overtime. More so, this positive and significant effect of railway lines on economic growth is consistent with the study of Alam et al (2020) who also found a positive effect of transportation infrastructure on economic growth in Pakistan. More so, the findings of this study are consistent with a number of cross-country studies.…”
Section: Discussionsupporting
confidence: 90%
“…Lastly, the 'core' infrastructure of streets, highways, airports, mass transit, sewers, water systems, among others, has the most explanatory power for productivity. Also, in Pakistan, Alam et al (2020) employed the autoregressive distributed lag (ARDL) and vector error correction model (VECM) over the period 1971-2017 to examine the relationship between transport infrastructure and economic development. The study finds that that transport infrastructure had a long-run positive impact on economic growth.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Consequently, Pesaran, Shin and Smith [55] are followed to apply the Autoregressive Distributed Lag (ARDL) Model, since it analyses the cointegration between variables with different degrees of cointegration, and also controls endogeneity [7,56] and allows use for short periods-even with observations less than 30 [57,58]. An indispensable requirement is that the stationarity order must be at most I (1), otherwise the analysis is invalid [59][60][61][62]. The relationship is formalised in the following equation:…”
Section: Cointegration Methodsmentioning
confidence: 99%
“…So, it can indicate that there is a long-run and causal relationship between transport infrastructure and economic development. Transport infrastructure has long-run positive impact on economic development (Alam et al, 2020). Growth of transportation unit product also can lead to multiply growth of gross national product and employment (Chuan-Xu, 2004).…”
Section: Impact Of Youtefa Bridge To Economic Conditionmentioning
confidence: 99%