Abstract
Climate change is the reality and a major development challenge to Bangladesh, made the mostly vulnerable country in the world. It is expected to adversely affect all economic sectors specifically agriculture and threatens to escalate the magnitude of poverty. Regional poverty under climate change impacts on farm production is an important challenge to Bangladesh. This study employs cluster analysis, Gini coefficient, variance decomposition analysis, and lognormal distribution under two scenarios (baseline and yield loss) to check the vulnerability of farm income and regional poverty. Estimated poverty rates are for yield loss of rice production due to potential climate change impact. The analytical results show that income inequality exists among the regions while variance of rice income significantly contributes to agricultural income differences. The reduction of the farm income appears to be increase the poverty rates in Jamalpur and Netrokona districts. Overall, this analysis may help to establish links between the farm income distribution and poverty under the potential impact of climate change. Therefore, this study has to evaluate and predict the potential implications and recommend that appropriate technology interventions could substantially reduce losses of farm income from climate change impact in Mymensingh region and elsewhere, where similar conditions prevail.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Assessing Impacts in Divergent Ecosystems
KEYWORDS
Poverty, Vulnerability, Farms
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