Self-mitigation and adaptation often require conceptual and feasible innovative mechanisms, locally designed with inputs from key stakeholders. Developing prudent adaptation measures for local communities are often time-consuming, and require in-depth analysis due to the complex nature of climate change, encompassing several sectors and external facilitators. In our quest to achieve Millennium Sustainable Development Goal (SDG 13), placing communities in acute and highly vulnerable locations at the center are essential in determining critical and actual areas stemming these communities, hence, employing bottom-up approach in realizing global goals of regulating deteriorating climatic conditions. The ultimate aim of the study was to find-out self-protective measures, initiated by key proponents in the area. The study employed an action-based, descriptive and inferential statistics in the collection and analysis of data. Response from informants constituting officials from various institutions and vulnerable groups in the area were subjected to content analysis to avoid misjudgments. Results show majority of self-protective measures, initiated by proponents in the area are short-term (reactive) measures which does not have the efficacy and capacity to deal with large scale climate events of greater magnitude and intensity. The study would inform the decision of policy-makers and interested stakeholders towards achieving SDG 13 as well as critical areas to prioritize, both in the short and long term. Further research could be conducted on the extent to which enhancing socio-economic parameters in the area can amplify residents’ susceptibility to climate hazards in the long run.
Isaac Sarfo (PhD Candidate)
Research Institute for History of Science and Technology, Nanjing University of Information Science and Technology, China.
Prof. Shuoben Bi
School of Geographic Sciences, Nanjing University of Information Science and Technology, China.
Jude Issa Dontoh
Ca Foscari University of Venice, Italy.
Charity Oseiwah Adjei
Department of Computer Science and Engineering, Nanjing University of Information Science and Technology, China.
Emmanuel Adu Gyamfi Kedjanyi
Department of Environmental Science and Engineering, Nanjing University of Information Science and Technology, China.
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