Social Economic Challenges of Adaptation to Climate Change in Masinga Sub-County, Kenya
Abstract
Climate in Masinga sub-county has been changing at a momentum which is unprecedented in the recent human history. This area consists mainly small-scale farmers who depend on rain to carry out their farming activities. Coping strategies to the changing climate in the area has faced various challenges ranging from high poverty, low levels of education, age, gender among others. This study investigated how social-economic challenges affecting adaptation strategies on climate change among the households living in Masinga sub-county, in Kenya. The main objectives of the study included; 1) To examine the adaptation strategies employed by households in Masinga sub-county 2) To determine the main factors that affect household in adaptation to climate change in Masinga sub-county 3) To investigate the environmental implications of adaptation to climate change in Masinga sub-county. Essentially, variables such as education levels, age, gender, were assessed. In order to gain an understanding on adaptation strategies used by households in Masinga sub-county, the study was conducted in all six divisions. Various methods of sampling were used in the survey which included stratified random sampling based on the number of households proportionately in the six divisions. In essence, 384 household heads were sampled through stratified random sampling. The study employed specific data collection tools in order acquire data from the six divisions; structured questionnaires, interviews schedules, Focused Group Discussions (FGDs) and direct observation were used. Qualitative data was collected through; interviews, Desk research, Focus Group Discussions comprising six to eight sampled through stratified random sampling and purposive sampling. The households coping strategies, influence of adaptation strategy to climate change and environmental implications of household adaptation was analyzed through both qualitative and quantitative interpretation. Data from survey was organized and analyzed using descriptive and inferential statistics. The results were subjected to statistical package for social sciences (SPSS) to determine their reliability. When applying descriptive statistics, the results were presented in tables, bar graphs, and charts. In this study Chi-squire was used because it was easier to compare the results from a two dimensional perspective. These results after analysis by chi-square test, the p-value was found to be .001, thus, smaller than the significance level (α = .05). Using Chi-square tests, this study established that there is strong evidence of an association between the education level and the implementation of green-house farming (Χ2 (3) = 1.064, p = 0.001). Further analysis by chi-square test indicated that the p-value was found to be .008, thus, less than the significance level (α = .05). This study established that early warning as a strategy to adaptation to climate change was not common amongst households in the area. Further research is suggested on impact of charcoal burning on climate change adaptation and cost implications in semi- arid areas. The study findings will enable the government and other relevant stakeholders to ensure that early warning system information is able to reach the local residents at all times
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