ICT and transport infrastructure development: an empirical analysis of complementarity

Na, Kyoung Y.; Kim, Donghyun; Park, Byoung G.; Yoon, Sang Won; Yoon, Chang-Ho

doi:10.1080/00036846.2019.1640860

Cited by 9 publications

(4 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lee et al ( 2017 ) also found symmetric effect of ICT infrastructure on growth while distinguishing between the roles of strong and weak institutions. Na et al ( 2019 ) found symmetric relationship between ICT–motorway interaction and productivity growth in developed economies, while Leng et al ( 2020 ) also established symmetric relationship between ICT infrastructure and rural income diversification in China.…”

Section: An Overview Of the Empirical Literaturementioning

confidence: 99%

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

Ekeocha

Ogbuabor

Orji

2021

Econ Change Restruct

View full text Add to dashboard Cite

Section: An Overview Of the Empirical Literaturementioning

confidence: 99%

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

Ekeocha

Ogbuabor

Orji

2021

Econ Change Restruct

View full text Add to dashboard Cite

“…Lee et al (2017) observed symmetrical effects of ICT infrastructure on growth while distinguishing between strong and weak institutional contexts. Na et al (2020) unveiled a symmetrical relationship between ICT and motorway interaction, impacting productivity growth in developed economies. Similarly, Leng et al (2020) established a symmetric link between ICT infrastructure and rural income diversification in China.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of public infrastructural development and industrialization on economic complexity in Africa: Emerging insight from panel data analysis

Emeka,

Ogbuabor,

Nwosu

2024

African Development Review

View full text Add to dashboard Cite

This study examined the effects of public infrastructural development and industrialization on economic complexity in Africa, and how industrialization is moderating the effect of public infrastructural development on economic complexity. The study adopted the pooled ordinary least squares, the dynamic system generalized method of moments and the dynamic bias‐corrected least squares dummy variable estimators with a panel of 34 African economies over the period 2010–2021. The findings revealed that public infrastructural development and industrialization contribute positively and significantly toward enhancing economic complexity in Africa. We also found that industrialization substantially moderates and enhances the influence of public infrastructural development on economic complexity. Furthermore, the results show that trade openness, foreign direct investment inflow, international tourism arrival and institutional quality are potent factors enhancing Africa's economic complexity, while the role of human capital remains muted. These findings suggest that African leaders and policy‐makers can foster economic complexity across the continent by embracing policies that prioritize increased infrastructural development, industrialization, trade openness and foreign direct investment inflow while improving the quality of institutions within the region.

show abstract

“…The network effect of stocks of motorway in terms of workers was found by Na and Yoon (2016). The data of almost 19 OECD countries was used over the years 1990-2006.…”

Section: Real Gdp Total Factor Productivity (Tfp) and Alternative Approachesmentioning

confidence: 99%

Does Transport Infrastructure Fosters the Economic Growth: An Asean Perspective

Hiranrithikorn¹,

Pamornmast²

2019

JSSI

View full text Add to dashboard Cite

The prime objective of the current study is to examine the influence of infrastructure of transportation on economic growth for various countries in ASEAN. This influence differs in terms of administrative status and quality of infrastructure across the counties. GDP has been used as an economic growth measure in terms of per worker along with various kinds of infrastructure of transportation for years 2002-2017. Therefore, a short model has been incorporated with capital stock of railways and roads. Two variables have been incorporated to differentiate rods with different covering and quality. In the next step, the administrative status of roads has been distinguished. The results have revealed difficulty in interpretation because of the problem of endogeneity and reverse causality. Therefore, the research model was modified by including the lag values of variables of infrastructure of transportation for getting robust estimates. The unit root test has been performed and first differences in model ere used to obtain stationary time series. It was found that GRP per worker is greatly influenced by overall roads stock. This is because of the use of such roads for large traffic load. The regional growth of economy is greatly influenced by the light covering roads rather than national roads of similar quality/covering. The influence of local government's quality was controlled on development of economy. The turnout of voters was used as proxy variable for the local government's quality. It was found that the influence of infrastructure of transportation stock in the areas (where government is of better quality) has not much influence on GRP per worker. Different kinds of infrastructure of transportation have been shown by this research being the drivers of growth of economy in. The administrative status and quality of covering roads creates an influence on the growth of economy. Based on the findings of study, the following recommendations have been made. There is need to develop national roads to improve the economic performance. Further, there is need to improve the quality of countries. However, the influence of infrastructure transportation is high where the government has low quality and overall capital stock influence is high where the government is of good quality (Crescenzi, Cataldo, & Rodríguez, 2016). In future, researches can be conducted by focusing on the influences of other variables of infrastructure including electricity lines, supply of water and for long time periods. The future studies can work on investigating the network effect of transportation infrastructure in ASEAN.

show abstract

ICT and transport infrastructure development: an empirical analysis of complementarity

Cited by 9 publications

References 36 publications

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

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

Effects of public infrastructural development and industrialization on economic complexity in Africa: Emerging insight from panel data analysis

Does Transport Infrastructure Fosters the Economic Growth: An Asean Perspective

Contact Info

Product

Resources

About