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<bibitem type="V">   <ARLID>0572589</ARLID> <utime>20250526121352.8</utime><mtime>20230606235959.9</mtime>              <title language="eng" primary="1">Determinants of Financial Inclusion in Africa and OECD Countries</title>  <publisher> <place>Praha</place> <name>UK FSV – IES</name> <pub_time>2023</pub_time> </publisher> <specification> <page_count>40 s.</page_count> <media_type>E</media_type> </specification> <edition> <name>IES working papers</name> <volume_id>IES WP 18/2023</volume_id> </edition>    <keyword>Financial Inclusion</keyword>   <keyword>Financial Inclusion Index</keyword>   <keyword>Sub-Saharan Africa</keyword>    <author primary="1"> <ARLID>cav_un_auth*0312139</ARLID> <name1>Kočenda</name1> <name2>Evžen</name2> <institution>UTIA-B</institution> <full_dept language="cz">Ekonometrie</full_dept> <full_dept language="eng">Department of Econometrics</full_dept> <department language="cz">E</department> <department language="eng">E</department> <full_dept>Department of Econometrics</full_dept> <country>CZ</country> <share>50</share> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0450936</ARLID> <name1>Eshun</name1> <name2>S. F.</name2> <country>GH</country> <share>50</share> </author>   <source> <url>http://library.utia.cas.cz/separaty/2023/E/kocenda-0572589.pdf</url> </source>        <cas_special>  <abstract language="eng" primary="1">Sub-Saharan Africa (SSA) has been identified as one of the least financially inclusive regions in the world with a huge disparity in comparison to highly financially inclusive regions. Using a dynamic panel data analysis, we explore the factors influencing financial inclusion in Sub-Saharan Africa (SSA) using countries belonging to the Organisation for Economic Co-operation and Development (OECD) as a benchmark. We employ the System Generalized Method of Moments (GMM) estimator and assess 31 SSA and 38 OECD countries from 2000-2021. We show that the differences in trade openness, banks' efficiency, income, and remittances are some macro-level factors that explain the variation in financial inclusion levels. We highlight the importance of quality literacy policies, trade improvement with restrictions on cross-border capital flows, and a more efficient financial system to promote financial inclusion.</abstract>     <RIV>AH</RIV> <FORD0>50000</FORD0> <FORD1>50200</FORD1> <FORD2>50202</FORD2>  <reportyear>2024</reportyear>       <num_of_auth>2</num_of_auth>  <unknown tag="mrcbC52"> 2 O 4 4o 4 20250526121344.8 4 20250526121352.8 </unknown>  <permalink>https://hdl.handle.net/11104/0344417</permalink>   <confidential>S</confidential>        <arlyear>2023</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0572589.pdf </unknown>    <unknown tag="mrcbU10"> 2023 </unknown> <unknown tag="mrcbU10"> Praha UK FSV – IES </unknown> </cas_special> </bibitem>