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Remittances, institutions and financial inclusion: new evidence of non-linearity

This paper investigates the effect of remittance inflows on financial inclusion. Using data from high remittance-receiving developing countries and applying dynamic panel data methods, we find that remittance inflow has a negative impact on financial inclusion for countries with low level of remitta...

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Main Authors: Issabayev, Murat, Saydaliyev, Hayotbek, Avsar, Veysel, Lee, Chin
Format: Article
Language:English
Published: World Scientific 2020
Online Access:http://psasir.upm.edu.my/id/eprint/86683/1/Remittances%2C%20institutions.pdf
http://psasir.upm.edu.my/id/eprint/86683/
https://www.worldscientific.com/doi/abs/10.1142/S2194565920500025?journalCode=gej
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spelling my.upm.eprints.866832022-11-22T09:13:01Z http://psasir.upm.edu.my/id/eprint/86683/ Remittances, institutions and financial inclusion: new evidence of non-linearity Issabayev, Murat Saydaliyev, Hayotbek Avsar, Veysel Lee, Chin This paper investigates the effect of remittance inflows on financial inclusion. Using data from high remittance-receiving developing countries and applying dynamic panel data methods, we find that remittance inflow has a negative impact on financial inclusion for countries with low level of remittances. However, this relationship is positive for countries with high level of remittances. Our study found that there exists a nonlinear relationship between remittances and financial inclusion. We also show that the effect of remittances on the financial inclusion is conditional upon people’s perception about institutions. World Scientific 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/86683/1/Remittances%2C%20institutions.pdf Issabayev, Murat and Saydaliyev, Hayotbek and Avsar, Veysel and Lee, Chin (2020) Remittances, institutions and financial inclusion: new evidence of non-linearity. Global Economy Journal, 20 (1). ISSN 2194-5659; ESSN: 1553-5304 https://www.worldscientific.com/doi/abs/10.1142/S2194565920500025?journalCode=gej
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 effect of remittance inflows on financial inclusion. Using data from high remittance-receiving developing countries and applying dynamic panel data methods, we find that remittance inflow has a negative impact on financial inclusion for countries with low level of remittances. However, this relationship is positive for countries with high level of remittances. Our study found that there exists a nonlinear relationship between remittances and financial inclusion. We also show that the effect of remittances on the financial inclusion is conditional upon people’s perception about institutions.
format Article
author Issabayev, Murat
Saydaliyev, Hayotbek
Avsar, Veysel
Lee, Chin
spellingShingle Issabayev, Murat
Saydaliyev, Hayotbek
Avsar, Veysel
Lee, Chin
Remittances, institutions and financial inclusion: new evidence of non-linearity
author_facet Issabayev, Murat
Saydaliyev, Hayotbek
Avsar, Veysel
Lee, Chin
author_sort Issabayev, Murat
title Remittances, institutions and financial inclusion: new evidence of non-linearity
title_short Remittances, institutions and financial inclusion: new evidence of non-linearity
title_full Remittances, institutions and financial inclusion: new evidence of non-linearity
title_fullStr Remittances, institutions and financial inclusion: new evidence of non-linearity
title_full_unstemmed Remittances, institutions and financial inclusion: new evidence of non-linearity
title_sort remittances, institutions and financial inclusion: new evidence of non-linearity
publisher World Scientific
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/86683/1/Remittances%2C%20institutions.pdf
http://psasir.upm.edu.my/id/eprint/86683/
https://www.worldscientific.com/doi/abs/10.1142/S2194565920500025?journalCode=gej
_version_ 1751538210383593472
score 13.211869

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