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Zakaria Elouaourti
Researcher at Mohammed V University
Publications - 8
Citations - 40
Zakaria Elouaourti is an academic researcher from Mohammed V University. The author has contributed to research in topics: Composite index & Financial inclusion. The author has an hindex of 2, co-authored 4 publications receiving 9 citations.
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Financial inclusion, mobile banking, informal finance and financial exclusion: micro-level evidence from Morocco
TL;DR: In this article, the authors investigated the impact of financial inclusion at the microeconomic level, by focusing on six major issues: determinants of monetary inclusion, links between individual characteristics and barriers to financial inclusion, determinant of mobile banking use, motivations for saving, credit objectives and determinants for resorting to informal finance.
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Financial Inclusion, Financial Frictions, and Economic Growth: Evidence from Africa
TL;DR: In this paper, the role of financial inclusion in promoting investment and economic growth, through the reduction of financial imperfections, is examined, and an analytical framework is developed to analyze financial inclusion.
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Financial development and total factors productivity channel: Evidence from Africa
TL;DR: In this article, the authors discuss the link between financial development and economic growth through Total Factor Productivity (TFP) canal in African economies and show that the development of the financial sector does not promote total factors productivity in low-income and upper-middle-income countries.
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Factors of regional financial inclusion in Morocco
TL;DR: In this paper , the authors provide a comparative analysis of interregional and intra-regional inequalities in terms of financial inclusion across Moroccan regions and explore the determinants of regional financial inclusion in a panel of 12 Moroccan regions.
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Financial services and firm performance, are there any differences by size? Worldwide evidence using firm-level data
TL;DR: In this paper , a two-stage least squares regression analysis with instrumental variable modeling is used to identify the financial services that have the most impact on firm performance using firm-level data covering 78,629 firms by size.