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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Published in:International Journal of Finance and Economics
Main Author: Ahmad M.; Law S.H.
Format: Article
Language:English
Published: John Wiley and Sons Ltd 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148659833&doi=10.1002%2fijfe.2791&partnerID=40&md5=cdf2f5e9bce1270833a49bf602cce457
id 2-s2.0-85148659833
spelling 2-s2.0-85148659833
Ahmad M.; Law S.H.
Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities
2024
International Journal of Finance and Economics
29
3
10.1002/ijfe.2791
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148659833&doi=10.1002%2fijfe.2791&partnerID=40&md5=cdf2f5e9bce1270833a49bf602cce457
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 Ltd
10769307
English
Article
All Open Access; Green Open Access
author Ahmad M.; Law S.H.
spellingShingle Ahmad M.; Law S.H.
Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities
author_facet Ahmad M.; Law S.H.
author_sort Ahmad M.; Law S.H.
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
publishDate 2024
container_title International Journal of Finance and Economics
container_volume 29
container_issue 3
doi_str_mv 10.1002/ijfe.2791
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148659833&doi=10.1002%2fijfe.2791&partnerID=40&md5=cdf2f5e9bce1270833a49bf602cce457
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.
publisher John Wiley and Sons Ltd
issn 10769307
language English
format Article
accesstype All Open Access; Green Open Access
record_format scopus
collection Scopus
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