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Complete Book PDF (4.12MB) - World Bank eLibrary

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294 Diagnosing Corruption in Ethiopia<br />

These five identified thematic areas are central to the Land Governance<br />

Assessment Framework (LGAF) that the <strong>World</strong> <strong>Bank</strong> recently developed<br />

(Deininger, Selod, and Burns 2011). The LGAF, described further in<br />

box 7.2, is a tool that has contributed to the assessment of corruption in<br />

the land sector in Ethiopia.<br />

Box 7.2<br />

Land Governance Assessment Framework<br />

The LGAF is a diagnostic tool for the evaluation of the legal framework, policies,<br />

and practices relating to land policy, administration, use, and management. The<br />

LGAF groups the assessment into five thematic areas:<br />

• Legal and Institutional Framework<br />

• Land Use Planning, Management, and Taxation<br />

• Management of Public Land<br />

• Public Provision of Land Information<br />

• Dispute Resolution and Conflict Management.<br />

A coherent set of 21 indicators and 80 dimensions sets out objectives for<br />

land governance in the five thematic areas. For each indicator, a set of two to six<br />

dimensions describes key aspects in land governance that contribute to the<br />

indicator. In turn, for each dimension, a set of coherent statements describes<br />

four situations, graded from A to D. The methodology for LGAF implementation<br />

relies on<br />

• expert analyses of more than half the dimensions;<br />

• expert panels reaching consensus on various sets of dimensions (five panels<br />

with about 20 dimensions per panel); and<br />

• sampling for a limited number of dimensions where further evidence is<br />

required.<br />

An LGAF assessment highlights areas for legal, policy, or procedural reform to<br />

improve land governance. Using a comprehensive framework such as this provides<br />

an overarching illustration of issues and can be used over periodic intervals<br />

to reassess the status or compare interregionally.<br />

Source: Deininger, Selod, and Burns 2011.

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