Infrastructure and Economic Growth: Panel Analysis of Selected Asian Countries

Effective and reliable infrastructure is considered helpful for economic growth. Particularly, transport infrastructure is an important factor in the development of countries. The infrastructure can be classified into different dimensions i.e. economic and social infrastructure. The current study uses panel analysis techniques to examine the association between infrastructure and economic growth. The panel data is used having a period from 2000-2020 for selected Asian countries. Panel unit root tests are applied to check the stationarity of the data, and findings depict that all variables are stationary at the first difference. After analyzing the unit root properties, the Pedroni cointegration technique is employed to assess the long-run association. The results indicate that all variables have an association in the long run. Furthermore, the Random effect model is employed for empirical investigations. The results concluded that transport infrastructure, energy use, and communication infrastructures positively affect the economic growth in the selected Asian countries. It is recommended that the government stress public expenditure to ensure effective infrastructure, promoting economic growth. It is also suggested that more budget may be consumed to make the roads, dams, telecommunication services, and bridges.

Authors

Institutions

Publication Details

Journal
Journal of human dynamics
Published
2024-12-31
DOI
https://doi.org/10.55627/jhd.02.02.01060
Citations
1
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Infrastructure and Economic Growth: Panel Analysis of Selected Asian Countries

Muhammad Nauman, M. Manzurul Hassan, Saif Ullah, Mahmood Ul Hasan
1 citations
Journal of human dynamics
Fiscal Policy and Economic Growth
1.13
article

Infrastructure and Economic Growth: Panel Analysis of Selected Asian Countries

Muhammad Nauman, M. Manzurul Hassan, Saif Ullah, Mahmood Ul Hasan
article en
1 citations

Abstract

Effective and reliable infrastructure is considered helpful for economic growth. Particularly, transport infrastructure is an important factor in the development of countries. The infrastructure can be classified into different dimensions i.e. economic and social infrastructure. The current study uses panel analysis techniques to examine the association between infrastructure and economic growth. The panel data is used having a period from 2000-2020 for selected Asian countries. Panel unit root tests are applied to check the stationarity of the data, and findings depict that all variables are stationary at the first difference. After analyzing the unit root properties, the Pedroni cointegration technique is employed to assess the long-run association. The results indicate that all variables have an association in the long run. Furthermore, the Random effect model is employed for empirical investigations. The results concluded that transport infrastructure, energy use, and communication infrastructures positively affect the economic growth in the selected Asian countries. It is recommended that the government stress public expenditure to ensure effective infrastructure, promoting economic growth. It is also suggested that more budget may be consumed to make the roads, dams, telecommunication services, and bridges.

Journal of human dynamicsVol. 2(2)
University of Sargodha (PK)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Fiscal Policy and Economic Growth
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.