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Formal F<strong>in</strong>ancial Inclusion <strong>in</strong> Kenya: Understand<strong>in</strong>g <strong>the</strong> Demand-Side Constra<strong>in</strong>ts 129<br />
<strong>the</strong>y may face higher barriers to access<strong>in</strong>g formal bank<strong>in</strong>g products due to<br />
language constra<strong>in</strong>ts, result<strong>in</strong>g <strong>in</strong> <strong>the</strong>ir <strong>in</strong>voluntary exclusion. These factors<br />
<strong>in</strong>fluence <strong>the</strong>ir demand for formal bank<strong>in</strong>g products.<br />
While <strong>the</strong> preferences and constra<strong>in</strong>ts of people from different backgrounds<br />
may not necessarily be observable, <strong>the</strong> F<strong>in</strong>Access 2013 survey did collect data<br />
on <strong>the</strong> language <strong>in</strong> which people wished to be <strong>in</strong>terviewed, so we can use<br />
language as a proxy for captur<strong>in</strong>g this heterogeneity.<br />
From Figure 14, we see that among those who preferred to be <strong>in</strong>terviewed <strong>in</strong><br />
English, Swahili or Kikuyu, between 26% and 55% were formally banked <strong>in</strong><br />
2013. These three languages constituted over 72.5% of all <strong>the</strong> respondents.<br />
In <strong>the</strong> rema<strong>in</strong><strong>in</strong>g group, which constituted <strong>in</strong>dividuals who spoke at least eight<br />
different m<strong>in</strong>ority languages between <strong>the</strong>m, only 13% were formally banked.<br />
While this was a 5% <strong>in</strong>crease from 2009, it was still smaller than <strong>the</strong> <strong>in</strong>creases<br />
seen by those that speak Swahili or Kikuyu.<br />
Figure 14: Formal bank access by preferred language, 2006–2013<br />
80<br />
Percent formally banked<br />
60<br />
40<br />
20<br />
55% 55% 55%<br />
16%<br />
19%<br />
26%<br />
22% 24% 37%<br />
8% 7%<br />
13%<br />
0<br />
Source: F<strong>in</strong>Access 2006, 2009 and 2013 data.<br />
English Swahili Kikuyu M<strong>in</strong>ority language<br />
2006 2009 2013<br />
When we look at this relationship through a multivariate probit, with English<br />
as <strong>the</strong> base language group and controll<strong>in</strong>g for all o<strong>the</strong>r variables, speak<strong>in</strong>g<br />
any o<strong>the</strong>r language than English decreased <strong>the</strong> likelihood of someone be<strong>in</strong>g<br />
formally banked. This result is significant at <strong>the</strong> 1% level for all o<strong>the</strong>r languages,<br />
but <strong>the</strong> size of <strong>the</strong> effect is largest for those speak<strong>in</strong>g m<strong>in</strong>ority languages.<br />
From a policy perspective, <strong>the</strong>re is a need to understand what preferences and<br />
constra<strong>in</strong>ts shape <strong>the</strong> demand of <strong>the</strong>se groups, as well as any barriers <strong>the</strong>y face<br />
that result <strong>in</strong> <strong>the</strong>m be<strong>in</strong>g <strong>in</strong>voluntarily excluded. Based on this understand<strong>in</strong>g,<br />
a strategy designed to meet <strong>the</strong>ir exist<strong>in</strong>g preferences and to overcome <strong>the</strong>ir