Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Doctorat → Ethiopie → Gender Dimension of Adaptation to Climate Change as Linked to Water-Energy-Food Nexus in Mecha Area, Northwest Ethiopia

Addis Ababa University (2020)

Gender Dimension of Adaptation to Climate Change as Linked to Water-Energy-Food Nexus in Mecha Area, Northwest Ethiopia

Zewdu, Meseret

Titre : Gender Dimension of Adaptation to Climate Change as Linked to Water-Energy-Food Nexus in Mecha Area, Northwest Ethiopia

Auteur : Zewdu, Meseret

Université de soutenance : Addis Ababa University

Grade : Doctor of Philosophy in Development Studies (Environment and Development Studies) 2020

Résumé partiel
Ethiopia is suffering from climate extremes in the form of frequent flood and drought. Men and women experienced the impact of climate change differently, specifically in poor countries like Ethiopia. The link between the adverse effects of climate change and gender inequality is inextricable. Gender inequality aggravates vulnerability to climate change and decreases adaptive capacity because of poor access to vital resources including water, energy and food. This problem calls a need to investigate the gender dimension of vulnerability and adaptation to climate change as linked to water-energy-food nexus. The objectives of the study are to analyze spatiotemporal climate variability to assess gender dimension of households’ vulnerability and adaptation to climate change and determinant factors to adopt adaptation technologies, and to explore gender dimension of climate change effects as linked to water-energy-food nexus in Mecha area, North-western Ethiopia. Using a household survey, quantitative data were collected from 416 randomly selected respondents and qualitative data were collected via in-depth and key informant interviews and focus group discussions. The research used inverse distance weighted interpolation tool, multinomial logit model and qualitative system dynamic approach : causal loop diagram to analyze the data. The research used statistical techniques such as means, frequencies, standard deviations, principal component analysis, t-test and one way between groups ANOVA. Findings reveal that warming trends of annual minimum and maximum temperature increased at a rate of 0.11 0 C and 0.08 0 C per decade, respectively. The mean annual and seasonal rainfall distribution shows statistically non-significant increasing trends. The results reveal that the vulnerability level of female-headed households is higher than maleheaded households in the irrigation area. The findings further reveal that female-headed household’ vulnerability level without irrigation was less than female-headed households with irrigation. Vulnerability level of male-headed households in the upper stream was more than male-headed households in the lower stream

Présentation

Version intégrale (3,4 Mb)

Page publiée le 3 juin 2022