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Where the power lies: multiple stakeholder politics over natural ...

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Figure 1. Steps in <strong>the</strong> analysis of micro<strong>politics</strong><br />

The development of <strong>the</strong> framework for analysing micro-<strong>politics</strong> was based on wide<br />

consultation with o<strong>the</strong>r researchers and practitioners working in <strong>multiple</strong> <strong>stakeholder</strong><br />

situations. More substantial development of <strong>the</strong> framework is based on work done on two<br />

projects in Zimbabwe. One of <strong>the</strong> projects is <strong>the</strong> selected site for a project by <strong>the</strong> Centre<br />

for International Forestry Research (CIFOR) to focus on adaptive management and social<br />

learning, which is about to begin. The project examines relations among <strong>multiple</strong> <strong>stakeholder</strong><br />

groups for <strong>the</strong> joint management of a state forest in <strong>the</strong> sou<strong>the</strong>rn part of <strong>the</strong> country. The<br />

second project on which some stages of <strong>the</strong> suggested framework were developed is a site<br />

where <strong>the</strong>re is an ongoing PAR and development project coordinated by <strong>the</strong> Institute of<br />

Environmental Studies at <strong>the</strong> University of Zimbabwe. This part of <strong>the</strong> manual development<br />

focused on one component of <strong>the</strong> PAR project; <strong>the</strong> Simudzirayi micro credit scheme. The<br />

process notes and data collected from <strong>the</strong>se sites are presented in Annex 1 and Annex 2.<br />

Different steps in <strong>the</strong> framework are described in <strong>the</strong> following sections. In each section<br />

questions are presented to help focus your data ga<strong>the</strong>ring. Some methods have been<br />

suggested but <strong>the</strong>re is no requirement that <strong>the</strong>y should be used in <strong>the</strong> sequence in which<br />

<strong>the</strong>y have been presented or that all are used. However, use of more than one method is<br />

encouraged as this will improve <strong>the</strong> quality and reliability of data. Case studies and<br />

experiences from o<strong>the</strong>r researchers and development practitioners are included to<br />

elaborate different points and present examples of some of <strong>the</strong> complexities of <strong>the</strong>se<br />

types of analysis.<br />

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