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114 Diagnosing Corruption in Ethiopia<br />

• A subfunction view, which identifies characteristics from the mapping<br />

of corruption risks along the education sector value chain<br />

• A focus on the areas of highest perceived risk of corruption, which sums<br />

up the specific, locally identified risks in Ethiopia’s education sector<br />

that urgently must be addressed, or at least studied in more detail.<br />

Overview<br />

The overview emerging from this study is that the full range of anticipated<br />

corruption risks exist within the Ethiopia’s education sector but<br />

that the resulting risk map differs from that in other countries, or indeed<br />

within other sectors in Ethiopia. Specifically, the following tentative conclusions<br />

can be drawn and depicted:<br />

• The “upstream” corruption risks related to policy development, planning<br />

and budgeting, and fiscal transfers are low compared with the<br />

“downstream” risks related to management, procurement (including<br />

recruitment), and service delivery.<br />

• At this general level, corruption risks within each of the six functions<br />

are generally lower than would typically be encountered in other<br />

countries in the region. This is shown in figure 3.2, where the corruption<br />

risk, as expressed on the vertical radius, runs from zero at the<br />

center, through low (1), medium (2), and high (3) at the outer<br />

edges.<br />

• Presented in this way, as an average of the estimated risks within each<br />

function, the “upstream” risks are low, and the “downstream” risks are<br />

in the low-to-medium range.<br />

Subfunction View<br />

A more detailed representation in figure 3.3 shows estimated risks of<br />

each of the downstream subfunctions, revealing some high risks and<br />

some low ones.<br />

Here, the three highest areas of risk all relate to teachers, the area of<br />

highest spending in the education sector. Starting with teacher recruitment,<br />

extending to teacher management and, to some extent, teachers’<br />

delivery of services, there are strong perceived risks of corruption in the<br />

form of favoritism.<br />

The relatively low perceived risks associated with functions related to<br />

supplies and equipment as well as buildings does not mean that corruption<br />

risks can be ignored. Although outright bribery is seen to be rare,<br />

corruption where it occurs is more likely to be in the form of either fraud<br />

or favoritism.

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