2024
DOI: 10.1111/rsp3.12516
|View full text |Cite
|
Sign up to set email alerts
|

Factors of regional financial inclusion in Morocco

Abstract: The purpose of this paper is twofold: first, provide a comparative analysis of interregional and intraregional inequalities in terms of financial inclusion across Moroccan regions; second, explore the determinants of regional financial inclusion in a panel of 12 Moroccan regions. We used the principal component analysis methodology to construct our regional financial inclusion indexes, and the panel data estimation methodology to identify the determinants of regional financial inclusion. Our regional financial… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
10
0
1

Year Published

2024
2024
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 12 publications
(12 citation statements)
references
References 21 publications
1
10
0
1
Order By: Relevance
“…This result corroborates that found by Rahaman (2011) who pointed out that in the presence of external financing constraints, small firms rely more on internal funds. According to Enterprise Surveys (2013 data), in Morocco, access to finance is heterogeneous by firm size and geographic region (Elouaourti and Ezzahid, 2022). 30.1% of small Moroccan firms cite access to finance as a major constraint, compared to 25.3% and 25.3% for medium and large firms, respectively.…”
Section: Empirical Results and Discussionmentioning
confidence: 99%
“…This result corroborates that found by Rahaman (2011) who pointed out that in the presence of external financing constraints, small firms rely more on internal funds. According to Enterprise Surveys (2013 data), in Morocco, access to finance is heterogeneous by firm size and geographic region (Elouaourti and Ezzahid, 2022). 30.1% of small Moroccan firms cite access to finance as a major constraint, compared to 25.3% and 25.3% for medium and large firms, respectively.…”
Section: Empirical Results and Discussionmentioning
confidence: 99%
“…The weight of each sub‐indicator in the synthetic index is: wjgoodbreak=Weightjgoodbreak=()LFj2VT ‘LF is the loading factor and VT is the total variance measured by the sum of the eigenvalues in the explained variance table. The composite index for country i in year t is’ (Ezzahid & Elouaourti, 2019, p.82, 2021, 2022; Elouaourti & Ezzahid, 2022a): Institutional Quality Index0.25emIQIitgoodbreak=j=1Jwjgoodbreak×Indicatorijt Index j refers to one of the six subindicators aggregated to obtain the synthetic index.…”
Section: Empirical Methodology: Data Variables and Empirical Modelmentioning
confidence: 99%
“…'LF is the loading factor and VT is the total variance measured by the sum of the eigenvalues in the explained variance table. The composite index for country i in year t is' (Ezzahid & Elouaourti, 2019, p.82, 2021Elouaourti & Ezzahid, 2022a):…”
Section: Control Of Corruption a Variable That Captures The Effective...mentioning
confidence: 99%
“…These marginal effects can provide insight into the relative importance of each independent variable in predicting the outcome of interest. Furthermore, the logit model is a widely used technique in empirical research and is well established in the literature (Elouaourti & Ezzahid, 2022a). The econometric specification of our model on the 1,096 firm microdata is as follows: FTCi,j,s,tgoodbreak=α1goodbreak+α2Thetopmanager is femalei,j,s,tgoodbreak+αkk=37Xi,j,s,tgoodbreak+φjgoodbreak+θsgoodbreak+εi,j,t where FTC corresponds to the firms that have temporarily closed due to the COVID‐19 health crisis and is a binary variable equal to 1 if the firm has closed due to COVID‐19 and equal to 0 otherwise.…”
Section: Empirical Methodology: Data Variables and Empirical Modelmentioning
confidence: 99%
“…These marginal effects can provide insight into the relative importance of each independent variable in predicting the outcome of interest. Furthermore, the logit model is a widely used technique in empirical research and is well established in the literature (Elouaourti & Ezzahid, 2022a). The econometric specification of our model on the 1,096 firm microdata is as follows:…”
Section: Empirical Modelmentioning
confidence: 99%