...The result of the ordered legit regression model shows that the determinants of the household involvement in adaptive measures exhibit eight variables. These are sex, education level and distance to animal water source service (p<0.10); family size and total income from farm and non-farm activities(0.01
<0.05), and distance to credit and primary education services (p<0.01). Women are highly marginalized social segments and highly vulnerable to climate change. Thus, policy makers, other governmental and nongovernmental organizations should give attention for women while addressing adaptation strategies to mitigate detrimental impacts of climate change. Critique awareness on climate change adaptive measures as human capacity building should be considered. Programs/strategies which focus on food security and employment generating scheme should be encouraged to target households with no and low adaptation level for their interests of non-farm activities along with the regular farm activity. Adaptive measures are important to adapt more to climate change. Further research is required in order to identify basic adaptive measures and their trend analysis in livestock production too...
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Lijalem Workineh is a professional in food security, livelihoods, disaster risk management, resilience building and recovery programs design, coordination, monitoring, evaluation and learning systems, team management, training management and partnership building. He has over 13 years of experience in UN Agency, INGOs and government Offices.
...The result of the ordered legit regression model shows that the determinants of the household involvement in adaptive measures exhibit eight variables. These are sex, education level and distance to animal water source service (p<0.10); family size and total income from farm and non-farm activities(0.01
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -.The result of the ordered legit regression model shows that the determinants of the household involvement in adaptive measures exhibit eight variables. These are sex, education level and distance to animal water source service (p0.10); family size and total income from farm and non-farm activities(0.010.05), and distance to credit and primary education services (p0.01). Women are highly marginalized social segments and highly vulnerable to climate change. Thus, policy makers, other governmental and nongovernmental organizations should give attention for women while addressing adaptation strategies to mitigate detrimental impacts of climate change. Critique awareness on climate change adaptive measures as human capacity building should be considered. Programs/strategies which focus on food security and employment generating scheme should be encouraged to target households with no and low adaptation level for their interests of non-farm activities along with the regular farm activity. Adaptive measures are important to adapt more to climate change. Further research is required in order to identify basic adaptive measures and their trend analysis in livestock production too. 88 pp. Englisch. N° de réf. du vendeur 9786133993099
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Taye Lijalem WorkinehLijalem Workineh is a professional in food security, livelihoods, disaster risk management, resilience building and recovery programs design, coordination, monitoring, evaluation and learning systems, team manage. N° de réf. du vendeur 385843606
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - .The result of the ordered legit regression model shows that the determinants of the household involvement in adaptive measures exhibit eight variables. These are sex, education level and distance to animal water source service (p0.10); family size and total income from farm and non-farm activities(0.010.05), and distance to credit and primary education services (p0.01). Women are highly marginalized social segments and highly vulnerable to climate change. Thus, policy makers, other governmental and nongovernmental organizations should give attention for women while addressing adaptation strategies to mitigate detrimental impacts of climate change. Critique awareness on climate change adaptive measures as human capacity building should be considered. Programs/strategies which focus on food security and employment generating scheme should be encouraged to target households with no and low adaptation level for their interests of non-farm activities along with the regular farm activity. Adaptive measures are important to adapt more to climate change. Further research is required in order to identify basic adaptive measures and their trend analysis in livestock production too. N° de réf. du vendeur 9786133993099
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -.The result of the ordered legit regression model shows that the determinants of the household involvement in adaptive measures exhibit eight variables. These are sex, education level and distance to animal water source service (pVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. N° de réf. du vendeur 9786133993099
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Determinants of Climate Change Adaptation in Crop Production | The Case of Boset District, Eastern Zone of Oromia, Ethiopia | Lijalem Workineh Taye | Taschenbuch | 88 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786133993099 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 111183273
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