THE EFFECT OF INFRASTRUCTURE DEVELOPMENT ON NIGERIA'S FOREIGN DIRECT INVESTMENT USING DATA-DRIVEN ALGORITHMS.

This study analyzes the effect of infrastructure development on Nigeria’s foreign direct investment (FDI) using data-driven algorithms from 2005 to 2023, utilizing time-series data sourced from the Central Bank of Nigeria Statistical Bulletin and the 2023 United Nations Annual Reports. This study focused on four key variables: Transport Infrastructure Development (TID), Energy Infrastructure Development (EID), Water Infrastructure Development (WID), and ICT Infrastructure Development (ICTD). The analysis employed auto-regressive distributed lag (ARDL) models, revealing that although infrastructure development negatively impacted FDI, the effect was statistically insignificant during the study period. This study recommends that the Nigerian government strengthen security measures and governance, develop targeted incentives to attract infrastructure-driven FDI, address macroeconomic challenges by stabilizing the exchange rate, and adopt an integrated approach to infrastructure development to maximize its effect on FDI.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-18
DOI
https://doi.org/10.5281/zenodo.14515748
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
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article

THE EFFECT OF INFRASTRUCTURE DEVELOPMENT ON NIGERIA'S FOREIGN DIRECT INVESTMENT USING DATA-DRIVEN ALGORITHMS.

Zenodo (CERN European Organization for Nuclear Research)
Fiscal Policy and Economic Growth
article

THE EFFECT OF INFRASTRUCTURE DEVELOPMENT ON NIGERIA'S FOREIGN DIRECT INVESTMENT USING DATA-DRIVEN ALGORITHMS.

article en

Abstract

This study analyzes the effect of infrastructure development on Nigeria’s foreign direct investment (FDI) using data-driven algorithms from 2005 to 2023, utilizing time-series data sourced from the Central Bank of Nigeria Statistical Bulletin and the 2023 United Nations Annual Reports. This study focused on four key variables: Transport Infrastructure Development (TID), Energy Infrastructure Development (EID), Water Infrastructure Development (WID), and ICT Infrastructure Development (ICTD). The analysis employed auto-regressive distributed lag (ARDL) models, revealing that although infrastructure development negatively impacted FDI, the effect was statistically insignificant during the study period. This study recommends that the Nigerian government strengthen security measures and governance, develop targeted incentives to attract infrastructure-driven FDI, address macroeconomic challenges by stabilizing the exchange rate, and adopt an integrated approach to infrastructure development to maximize its effect on FDI.

Zenodo (CERN European Organization for Nuclear Research)
Georgia Institute of Technology (US), Nnamdi Azikiwe University (NG)
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
Fiscal Policy and Economic Growth
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