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University of Nairobi (2020)

Influence of Implementation of Community Water Projects on Social Development in Kenya : a Case of Todonyang, Turkana County, Kenya

Amuma, Frankline A L

Titre : Influence of Implementation of Community Water Projects on Social Development in Kenya : a Case of Todonyang, Turkana County, Kenya

Auteur : Amuma, Frankline A L

Université de soutenance : University of Nairobi

Grade : Master of Arts in Project Planning and Management 2020

Résumé partiel
Water projects play a critical role in the overall social development of a Todonyang community. Africa has been discovered to have the lowest total water supply coverage compared to other continents in the world. Even with the constant efforts of community-based water projects in guaranteeing access to clean drinking water for all, the service is still not adequate for the ever growing human population. This study therefore sought to investigate influence of implementation of community water projects on social development in Todonyang, Turkana County in Kenya. This study was guided by the following research objectives : to examine how types of water projects, water funding agencies and stakeholder participation influence on social development in Todonyang. The study adopted a descriptive survey design. The target population for this study constituted of 18,000 local community members, 17 community leaders, 8 water committees’ members and representative of non-governmental organisations operating in the Todonyang town, Turkana County. The sample size of this study included two hundred and twenty-two (222) community members 17 community leaders, 8 water committees’ members and 5 representatives of non-governmental organisations. Both simple random and purposive sampling procedure were used to arrive at the sample size. Questionnaires were used to collect data from the local members whereas ; interview guides were used to collect information from the non-governmental organisation representatives. Data that was collected from the field were filtered, sorted out and cleaned in line with research objectives. The data was then coded, and entered into and analysed using statistics software (SPSS, Version 25.0). Quantitative data was analysed using descriptive statistics. It involved calculation of percentages, frequencies, means and standard deviation.

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