Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities

This paper investigates the nexus between financial development (FD), institutions, and economic growth using a spatial autoregressive model on a panel dataset of 82 countries from 1990 to 2019. We measure the dependence between countries through geographical and institutional proximity. The latter...

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Main Authors: Ahmad, Mahyudin, Law, Siong Hook
Format: Article
Language:English
Published: John Wiley and Sons 2023
Online Access:http://psasir.upm.edu.my/id/eprint/115002/1/115002.pdf
http://psasir.upm.edu.my/id/eprint/115002/
https://onlinelibrary.wiley.com/doi/10.1002/ijfe.2791
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spelling my.upm.eprints.1150022025-02-14T03:29:03Z http://psasir.upm.edu.my/id/eprint/115002/ Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities Ahmad, Mahyudin Law, Siong Hook This paper investigates the nexus between financial development (FD), institutions, and economic growth using a spatial autoregressive model on a panel dataset of 82 countries from 1990 to 2019. We measure the dependence between countries through geographical and institutional proximity. The latter has not been widely explored in the finance-growth literature. The concept of institutional proximity proposes that countries with similar institutions will have similar levels of economic growth and larger spillovers once spatial effects of FD and institutional quality are controlled. Overall, our findings support this proposition, as FD and political institutions are shown to have significant positive effects on growth. However, the growth-effect of FD becomes negative beyond a certain threshold. We also find significant positive spatial lag growth in the model, indicating the presence of indirect spillover effects of FD and institutions on the growth of neighbouring countries in both geographical and institutional spheres. Furthermore, the spatial growth model with the institutional proximity matrix exhibits a higher rate of convergence and larger size of spillover than the model with geographical proximity. These findings are robust to various model specifications, and the paper concludes with some policy recommendations. © 2023 John Wiley & Sons Ltd. John Wiley and Sons 2023 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/115002/1/115002.pdf Ahmad, Mahyudin and Law, Siong Hook (2023) Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities. International Journal of Finance and Economics, 29 (3). pp. 2699-2721. ISSN 1076-9307; eISSN: 1099-1158 https://onlinelibrary.wiley.com/doi/10.1002/ijfe.2791 10.1002/ijfe.2791
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper investigates the nexus between financial development (FD), institutions, and economic growth using a spatial autoregressive model on a panel dataset of 82 countries from 1990 to 2019. We measure the dependence between countries through geographical and institutional proximity. The latter has not been widely explored in the finance-growth literature. The concept of institutional proximity proposes that countries with similar institutions will have similar levels of economic growth and larger spillovers once spatial effects of FD and institutional quality are controlled. Overall, our findings support this proposition, as FD and political institutions are shown to have significant positive effects on growth. However, the growth-effect of FD becomes negative beyond a certain threshold. We also find significant positive spatial lag growth in the model, indicating the presence of indirect spillover effects of FD and institutions on the growth of neighbouring countries in both geographical and institutional spheres. Furthermore, the spatial growth model with the institutional proximity matrix exhibits a higher rate of convergence and larger size of spillover than the model with geographical proximity. These findings are robust to various model specifications, and the paper concludes with some policy recommendations. © 2023 John Wiley & Sons Ltd.
format Article
author Ahmad, Mahyudin
Law, Siong Hook
spellingShingle Ahmad, Mahyudin
Law, Siong Hook
Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities
author_facet Ahmad, Mahyudin
Law, Siong Hook
author_sort Ahmad, Mahyudin
title Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities
title_short Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities
title_full Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities
title_fullStr Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities
title_full_unstemmed Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities
title_sort financial development, institutions, and economic growth nexus: a spatial econometrics analysis using geographical and institutional proximities
publisher John Wiley and Sons
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/115002/1/115002.pdf
http://psasir.upm.edu.my/id/eprint/115002/
https://onlinelibrary.wiley.com/doi/10.1002/ijfe.2791
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score 13.244413