Vulnerability Assessment of Northern Ghana to Climate Variability

nor invest in rainfed agriculture.The limited assets and entitlements exposes communities to further risk and reduces their ability to cope to the impact of climate variability. The results support the findings of Antwi-Agyei et al. (2012) study of the ten regions of Ghana using different indicators which showed the three regions in northern Ghana as most vulnerable to drought. With limited livelihood diversification in the regions, many rural household have embraced migration as an adaptive strategy

For vulnerability analysis, we first normalised the various indicators by carrying standardisation procedure to ensure uniformity and comparability among the indicators (Vincent 2004). We employed a ranking system to assign coefficients to the indicators. Two criteria were employed here. Lowest value or highest value indicators that contributed most to vulnerability were assigned the highest co-efficient value of 1.0 (on a scale from 0.0 to 1.0). For example, in highest value case- suppose the poverty

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many analytical and strategic evaluation approaches that are used in an attempt to identify and project how well a company is performing have been overwhelmed by the frequency and magnitude of these economic groundswells. In today’s competitive climate, where the changes outside a business exceed the productive changes within a business, a company’s future viability is clearly under enormous stress. To maintain business growth and a sustained economy, it is essential for managers to understand and