Modelling the interrelationships among drivers of Belt and Road infrastructure adoption in Nigeria: a PLS-SEM analysis

Despite extensive scholarly debate on the Belt and Road Initiative (BRI), empirical evidence on the structural relationships among host-country drivers remains limited, particularly in Sub-Saharan Africa. This study develops and empirically tests an integrated framework comprising five host-country constructs: socio-economic and environmental, political, policy and governance, infrastructure-led, and technological drivers within the Nigerian context of BRI-supported infrastructure development. Using the PLS-SEM method, six hypothesised relationships were examined using survey data collected from 80 built-environment professionals. The findings indicate that socio-economic and environmental drivers constitute the strongest proximate influences within the proposed framework, exerting significant positive effects on infrastructure-led (β = 0.670, p < 0.001), political (β = 0.525, p < 0.001), and technological drivers (β = 0.475, p < 0.001). Political drivers significantly strengthen policy and governance arrangements, whereas policy and governance drivers exert a modest influence on infrastructure-led drivers (β = 0.170, p = 0.019), suggesting that governance plays a supportive institutional role within the proposed framework. Overall, the findings suggest that the identified host-country drivers operate as a sequential institutional process rather than as independent factors. The study provides empirical support for a theoretically grounded framework and offers a foundation for future comparative research on BRI-supported infrastructure development.

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Publication Details

Journal
International Journal of Construction Management
Published
2026-08-14
DOI
https://doi.org/10.1080/15623599.2026.2709084
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

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article

Modelling the interrelationships among drivers of Belt and Road infrastructure adoption in Nigeria: a PLS-SEM analysis

Lekan Damilola Ojo, Daniel W.M. Chan, Sakibu Seidu, Oyewole Oyesomo et al.
International Journal of Construction Management
Fiscal Policy and Economic Growth
article

Modelling the interrelationships among drivers of Belt and Road infrastructure adoption in Nigeria: a PLS-SEM analysis

Lekan Damilola Ojo, Daniel W.M. Chan, Sakibu Seidu, Oyewole Oyesomo, Edmond W. M. Lam
article en

Abstract

Despite extensive scholarly debate on the Belt and Road Initiative (BRI), empirical evidence on the structural relationships among host-country drivers remains limited, particularly in Sub-Saharan Africa. This study develops and empirically tests an integrated framework comprising five host-country constructs: socio-economic and environmental, political, policy and governance, infrastructure-led, and technological drivers within the Nigerian context of BRI-supported infrastructure development. Using the PLS-SEM method, six hypothesised relationships were examined using survey data collected from 80 built-environment professionals. The findings indicate that socio-economic and environmental drivers constitute the strongest proximate influences within the proposed framework, exerting significant positive effects on infrastructure-led (β = 0.670, p < 0.001), political (β = 0.525, p < 0.001), and technological drivers (β = 0.475, p < 0.001). Political drivers significantly strengthen policy and governance arrangements, whereas policy and governance drivers exert a modest influence on infrastructure-led drivers (β = 0.170, p = 0.019), suggesting that governance plays a supportive institutional role within the proposed framework. Overall, the findings suggest that the identified host-country drivers operate as a sequential institutional process rather than as independent factors. The study provides empirical support for a theoretically grounded framework and offers a foundation for future comparative research on BRI-supported infrastructure development.

International Journal of Construction Management
Hong Kong Polytechnic University (HK)
Hong Kong Polytechnic University, Department of Building and Real Estate, Hong Kong Polytechnic University
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Fiscal Policy and Economic Growth
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