Impact of infrastructure on economic growth in South Asia: Evidence from pooled mean group estimation

Khan, Humayun; Khan, Ubaid; Jiang, Li Jun; Khan, Muhamad Asif

doi:10.1016/j.tej.2020.106735

Cited by 38 publications

(20 citation statements)

References 25 publications

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“…We analyzed the valuable results of the models by using the most cited variables to compare the transport efficiencies of 19 countries along the "belt and road". This study considered several infrastructure variables, such as inland vehicles, energy consumption, ton-kilometer (TKM), and passenger-kilometer (PKM) [69,70]. We selected five input variables and four output variables to analyze energy and environmental efficiency.…”

Section: Performance Measuring Variablesmentioning

confidence: 99%

Energy Efficiency in Transportation along with the Belt and Road Countries

et al. 2020

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China’s huge investment in the “belt and road initiative” (BRI) may have helped improve the economic level of participating countries, but it may also be accompanied by a substantial increase in greenhouse gas (GHG) emissions. The BRI corridors aim to bring regional stability and prosperity. In such efforts, energy efficiency due to increased transport has been overlooked in the recent literature. This paper employed a data envelopment analysis of the slack-based measurement (SBM) for bad output to assess the transport energy efficiency of 19 countries under the BRI economic corridors. By using the most cited transport-related input variables, such as vehicles, labor, motor oil, jet fuel, and natural gas, this study first analyzes the transport energy efficiency by first assuming the output variables individually and then takes two years as a pre- and post-BRI case by considering the aggregated output model. The results show an increase in economic activity but a decline in transport energy efficiency in terms of consumption and emissions.

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Section: Performance Measuring Variablesmentioning

confidence: 99%

Energy Efficiency in Transportation along with the Belt and Road Countries

et al. 2020

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“…Some of such studies have found evidence in support of symmetric effect of infrastructure on growth (Sama and Afuge 2016 studied in Cameroon; Amos and Jidda 2018 studied Nigeria; Samir and Mefteh 2020 studied a panel of 63 countries). Studies that investigated South Asia and Indonesia have also established symmetric infrastructure–growth relationship as well as mutual causal feedbacks (Sahoo and Dash 2012 ; Khan et al 2020 ; Kurniesih 2020 ). Wang et al ( 2020b ) also found that improved efficiency of urban infrastructures in Chinese cities lead to improved economic growth, while Heshmati and Rashidghalam ( 2020 ) found significant positive correlations between urban infrastructure and urbanization in China.…”

Section: Introductionmentioning

confidence: 99%

Public infrastructural development and economic performance in Africa: a new evidence from panel data analysis

Ekeocha

Ogbuabor

Orji

2021

Econ Change Restruct

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“…The public infrastructure enables the firms to deliver the products and receive the raw materials efficiently, thereby enhances their productivity and efficiency while reduces the cost of doing business (Erenburg, 1993;Khan, Khan, Jiang, & Khan, 2020). Additionally, the network of infrastructure and good quality of transportation make it convenient for the business entities to avoid maintenance costs.…”

Section: Fdi F Inf Iq mentioning

confidence: 99%

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2021

IRD

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In this paper, for the first time, we investigate the relationship between infrastructure and sectoral distribution of FDI inflow in China. We use the Estimating Autoregressive Distributed Lag (ARDL) bound testing and Vector Error Correction Model (VECM) procedures of estimation. To unmask the shortcomings in the previous literature, we use a composite index of infrastructure with more than 30 indicators. The results show that there is a long-run relationship between sectoral FDI and infrastructure. A bidirectional causal relationship is confirmed by using VECM. However, we find unidirectional causality between the primary sector's FDI and infrastructure, and it is running from infrastructure to primary sector FDI. The inclusion of control variables, e.g., institutional quality, trade openness, and domestic investment, is robust in our analysis. The positive role of infrastructure in the sectoral distribution of FDI inflows is of utmost importance for policymakers and Chinese-government. Several policy implications are given in our study.

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Impact of infrastructure on economic growth in South Asia: Evidence from pooled mean group estimation

Cited by 38 publications

References 25 publications

Energy Efficiency in Transportation along with the Belt and Road Countries

Energy Efficiency in Transportation along with the Belt and Road Countries

Public infrastructural development and economic performance in Africa: a new evidence from panel data analysis

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