Double-Edged Hydropolitics on the Nile - Center for Security Studies ...

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Water policy networks in Egypt and Ethiopia Importantly, however, the respondents were asked to specify the relevant network ties of their entire organization. The water ministry department were asked to specify linkages of their department only. Six types of linkages were assessed through a questionnaire (see Table 6.1). Interviewees were asked to specify the existence or absence of a specific type of relationship to each other actor in the network (see questionnaires in the Appendix). The interviewees were asked to mention only linkages with relevance to issues of water policy planning and implementation. The influence reputation parameter is a ‘choice’ relationship, while all other relation types indicate an actual interaction within a dyad (pair of actors). The frequency of meetings was assessed, yielding ‘valued’ relationship Table 6.1 Linkage types, data types, and transformation of data (Eg: Egypt, Eth: Ethiopia). Linkage Country Description Data type Data transformation Influence reputation - overall - in planning - in implementation Eg Eth Eth Which are the ten (approx.) most influential actors with regard to water policy making? Official affiliations Eg Institutionalized linkages, e.g. through bilateral treaties (y/n) Joint activities - in planning - in implementation Eth Eth Joint projects, jointly organized events (y /n) Joint meetings Both Joint meetings on water policy issues (frequency) Information flow - sending - receiving Effective cooperation - in planning - in implementation Both Both Both Both Transfer of factual information relevant to policy formulation or implementation (y /n) Cooperation that in the opinion of the respondent has an effect on policies or policy outcomes (y /n) Binary, directed Binary Binary Valued Binary, directed Binary - Symmetrization (select minimum value) Symmetrization (select minimum value) Categorization, elimination of ambiguous responses, symmetrization (average) Filter out non-matching answers Symmetrization (select minimum value) data. The data on information flows are ‘directed’, and assess the existence of an information transfer from and to another actor. The effective cooperation in planning linkages are considered particularly significant in that they – by definition – relate to actual impacts of a connection on policy outcomes, and are used for graphical depictions and subgroup analyses presented below. 157
<strong>Double</strong>-<strong>Edged</strong> <strong>Hydropolitics</strong> on the Nile The relational data were collected in the framework of two individual MSc / MA studies between March and July 2005 (Egypt) and March and June 2006 (Ethiopia). The questionnaires were slightly modified in the Ethiopian case study in order to refine the explanatory value of the results. Accordingly, the influence reputation was assessed separately for planning and implementation processes, and joint activities were assessed instead of official affiliations. The following transformations of the raw data matrices were performed (see also Table 6.1): • Aggregation of all water ministry departments into one single actor in each case study by adding and dichotomizing (for every network actor) the relations to and from each department. This transformation allows for a direct comparison of the network behavior of the water ministries with other ministerial actors, but is valid only under the assumption of strong intra-ministerial connectedness. Ties of Actor A with Department X and Actor B with Department Y are reproduced as an indirect linkage between Actors A and B through the unitary water ministry in the resulting network. • Symmetrization of binary n×n data matrices (and retaining the minimum value) to filter out non-matching answers regarding the existence of a relationship. The absence of a tie in the resulting networks thus either indicates the absence of a relationship in reality or disagreement in the respondents’ judgment. The remaining relations are confirmed by both actors and can therefore be considered as particularly significant. • Subtraction of the two matrices with directed information flow relations (sending matrix and transposed receiving matrix) to filter out non-matching answers. The resulting matrix is not symmetric, but specifies directed information flow relations confirmed by both the sending and receiving actor. • Categorization of meetings data; assigning values of 0, 1, 2, and 3 for no, half-yearly, monthly, and bi-weekly or more frequent meetings; filtering out dyads in which only one actor reported joint meetings; 158
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Samuel Luzi Double
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Acknowledgment T his study was cond
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Acknowledgement Furthermore, I am g
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Table of Contents List of Figures 1
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Table of Contents 4.8 Patterns of p
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List of Figures 1.1 Converging anal
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List of Abbreviations AAU ADB ADLI
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List of Abbreviations R&D Research
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1 Introduction T he growing global
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Introduction 1.1 Research questions
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Introduction The analytical perspec
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Introduction concepts with regard t
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Introduction and Ashton 2004). Gene
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Introduction Causes, characteristic
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Introduction different tracks: 1) i
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Introduction management agreements
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Introduction While most of these st
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Introduction is defined as a state
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Introduction a) Country B Country A
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Introduction particularly stress th
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Introduction The notion of policy n
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Introduction studies. A short compa
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Introduction Closely related minist
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Introduction 1.6 Outline of the the
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3 International River Basins: Manag
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Appendix Questionnaires used in the
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Appendix • Please try to give you
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Appendix 2 Official Affiliation Wit
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Appendix 5 Effective cooperation Wi
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Appendix Instructions All the follo
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Appendix MOWR Department of Rural W
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Appendix 2 Meetings With which of t
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Appendix 5 Effective cooperation 5A
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