2013
DOI: 10.1016/j.retrec.2012.05.008
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Effect of transportation infrastructure on economic growth in India: The VECM approach

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Cited by 297 publications
(191 citation statements)
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References 30 publications
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“…As the total, the proposed route create cost efficiency for about 33.21% in a single function and 31.43% in multi functions compared to the existing route. These findings are aligned with similar research by other researchers [13,14,15] that agrees that having better connectivity will stimulate regional's economic growth and furthermore, and creating multi functions infrastructure produces optimum benefits for stakeholders [2,4,5].…”
Section: Figure 3 Jambi Province Route Selectionsupporting
confidence: 89%
“…As the total, the proposed route create cost efficiency for about 33.21% in a single function and 31.43% in multi functions compared to the existing route. These findings are aligned with similar research by other researchers [13,14,15] that agrees that having better connectivity will stimulate regional's economic growth and furthermore, and creating multi functions infrastructure produces optimum benefits for stakeholders [2,4,5].…”
Section: Figure 3 Jambi Province Route Selectionsupporting
confidence: 89%
“…Depending on availability, the data was gathered from Eurostat, OECD, and the World Bank. Gross domestic product per capita was employed as a proxy for sustainable economic growth [2,34,39,43,44,51,58,68,76,85,89,93,95], whereas several measures towards transport infrastructure [2,8,39,42,50,54,58,61,68,93], investment in transport infrastructure [8,43,73,81,82,97], transport pollution [34,50,58,89,95,106], and country-level controls [2,53,58,61,85,93,95,106] were considered, as exhibited in Table 4. Source: Authors' work.…”
Section: Sample and Variablesmentioning
confidence: 99%
“…The fixed-effects approach was selected since the study was limited to a particular group of states [34]. Onward, the nexus between transport infrastructure, associated investments, emissions of carbon dioxide, and economic growth was explored through a panel vector autoregressive model [2,8,39,44,50,55,59,62,64,65,69,71,82,83,87,93,101,105]. Firstly, the unit root of each variable was examined, then the long-run cointegration link among the variables is investigated, and afterwards the panel vector error correction model (henceforth "PVECM") was estimated to infer the Granger causal associations [44].…”
Section: Quantitative Frameworkmentioning
confidence: 99%
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“…Urban infrastructure economic benefit is the positive influence of infrastructure on urban economic development via external effect and spillover effect [9,10]. The construction of urban infrastructure promotes the development of other industries and increases urban GDP [11][12][13] which is helpful to raise the levels of fiscal revenue of urban government [13,14] and consumption expenditure of urban inhabitants [15,16]. The well-conditioned urban infrastructure attracts the investment by reducing production and transportation cost [17,18].…”
Section: Introductionmentioning
confidence: 99%