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dc.contributor.authorHENRY, SUINYUY JUNIOR
dc.date.accessioned2025-12-22T12:28:14Z
dc.date.available2025-12-22T12:28:14Z
dc.date.issued2025-04-20
dc.identifier.urihttp://repository.pauwes-cop.net/handle/1/548
dc.description.abstractClimate change is increasingly becoming a great hindrance to socio-economic development and wellbeing of Cameroon. This is in particular the case of Yaoundé in the centre region where climate extremes such as torrential rainfall and increasing temperatures causing flooding, landslides, mudslides, heat waves and seasonal variations have become a nightmare. The mitigation and adaptation to this climate change impacts requires effective knowledge transfer in order to optimize action and policies within the region. The first priority objective of Cameroon’s National Adaptation Plan sets out to improve knowledge on climate change and the second priority being; informing, educating and mobilizing the Cameroonian communities on Adaptation strategies. This justifies the reason for which this research with focus in the centre region was carried out. The aim of this research was to assess the effectiveness of climate change knowledge transfer for adaptation and mitigation action and policy in Cameroon. The specific objectives of this research included to evaluate the current state of climate change knowledge transfer frameworks, identify involved actors and their power relations, Identify key challenges hindering efficient knowledge transfer, identifying dissemination canals and the extent of knowledge outreach. A mixed-method approach that combined qualitative and quantitative data collection methods was used. A review of existing literature work and policy documents was done, interviews with 9 key informants from some key climate change knowledge management establishments, 182 questionnaires administered to households from sample localities (Mbankolo(42), Nkolbisson(38), Etoug Ebe(38), Awae Village(32) and Ntui(32), surveys and focus group discussion. The SPSS software was used to analyse quantitative data collected from the field while ALAS.ti software was used to analyse qualitative data using the thematic approach. Country policies were examined to assess their alignment with effective climate change knowledge transfer using the policy analysis approach by Carl (2016). Results revealed that there exist already established climate change knowledge transfer frameworks including mainly ONACC and DMN. However only 36.8% of respondent knew of any existing Climate change Knowledge transfer frameworks while 63.2 % did not. Out of respondents who knew a framework, 40(59.7%) identified ONACC, 12(17.9%) identified DMN. The frameworks still function at the national level having their helm at the capital of the country without any or with limited local correspondence. The type of climate change knowledge produced include seasonal calendars, GHG inventories, bulletins, agricultural calendars, and climate change vulnerability and impact studies. The main effective channels of knowledge transfer were through Media TV and Radio 93(51.1%) and social media 54(29.67%). Main challenges to effective climate change knowledge transfer included, lack of resources (37.9%), language (25.8%), low government and community engagement (19.25%), complexity of information (15.4%) and conflict of interest. The outreach was limited to policy makers, education institutions, NGOs and civil societies while local communities were left out. Enhancing effective knowledge transfer in the centre region requires coordinated management of the country’s climate action, awareness and sensitization, definition of roles, provision of necessary financial, infrastructural, technical and human resources needed to implement the dissemination process.en_US
dc.language.isoenen_US
dc.publisherHENRY SUINYUY JUNIORen_US
dc.relation.ispartofseriesClimate Change Policy;Cohort 9
dc.subjectclimate change; Knowledge transfer; adaptation; mitigationen_US
dc.titleKNOWLEDGE TRANSFER FOR CLIMATE CHANGE ADAPTATION AND MITIGATION: SYNERGIZING ACTIONS AND POLICIES IN CAMEROONen_US
dc.typeMaster Thesisen_US


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