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Autor: Menale Kassie
Pathways to sustainable intensification in Eastern and Southern Africa - Ethiopia 2010
Paswel Marenya Menale Kassie (2016)
A multi-stage sampling was employed to identify households. In the first stage 9 districts (five form Oromyia region, three from SNNP region and one from Benshangul region) were selected purposely. Accordingly, Bako Tibe, Gubuesyo, Shalla, Dudga, Adami Tullu, Mesrak Badawacho, Meskan, Hawassa Zuriya and Pawe selected. As the program focused on maize based farming system, maize production and agro-ecology was used as an important criterion to select districts and villages. Seven districts (Shalla, Dudga, Adami Tullu, Mesrak Badawacho, Meskan, and Hawassa Zuriya) fall under low potential agro-ecology zone characterized by low and erratic rainfall, while the remaining districts fall under high potential zone with adequate rainfall. In the second stage a total sample of 74 Peasant Associations (PAs) as shown in the survey summary document in the main project summary page were selected randomly with probability proportional to household size.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Ethiopia 2010
Paswel Marenya Menale Kassie (2016)
A multi-stage sampling was employed to identify households. In the first stage 9 districts (five form Oromyia region, three from SNNP region and one from Benshangul region) were selected purposely. Accordingly, Bako Tibe, Gubuesyo, Shalla, Dudga, Adami Tullu, Mesrak Badawacho, Meskan, Hawassa Zuriya and Pawe selected. As the program focused on maize based farming system, maize production and agro-ecology was used as an important criterion to select districts and villages. Seven districts (Shalla, Dudga, Adami Tullu, Mesrak Badawacho, Meskan, and Hawassa Zuriya) fall under low potential agro-ecology zone characterized by low and erratic rainfall, while the remaining districts fall under high potential zone with adequate rainfall. In the second stage a total sample of 74 Peasant Associations (PAs) as shown in the survey summary document in the main project summary page were selected randomly with probability proportional to household size.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Malawi 2010
Paswel Marenya Menale Kassie (2016)
Using purposive sampling, the central and Southern regions were selected. The Central region transcends from high to low altitude while the Southern region is predominantly a low altitude area. Maize is extensively grown in both regions with groundnuts and haricot beans being the dominant legume crops. The southern region however has pigeon pea as the most dominant legume. Purposive sampling in consideration of maize production potential and the agro-ecological conditions was then used in combination with stratified sampling to arrive at 6 districts; 5 in the Central region (Lilongwe, Kasungu, Mchinji, Salima and Ntcheu) and; Balaka in the Southern region. Three districts in the Central region (Lilongwe, Kasungu and Mchinji) fall under high potential area while the remaining two (Salima and Ntcheu) and Balaka in the southern region fall under a low potential area. Multi-stage random sampling combined with probability to proportional size sampling methods were then used to get 66 Extension Planning Areas (EPA’s), 91 Sections and 234 villages. The same procedure was again used to get 895 households from the 235 villages. Please refer to baseline reports include with the data. Please refer to baseline reports include with the data.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Kenya 2011
Menale Kassie Gideon Obare (2016)
Based on the data collected during the reconnaissance survey, a total of five districts were selected for the baseline survey. Two districts were from western Kenya region (Bungoma and Siaya) and three districts from eastern Kenya region (Embu, Meru South and Imenti South). A total of 600 households were targeted for this survey (300 in each region). In western Kenya, each district was allocated 150 households. Similarly, in eastern Kenya, each district was allocated 100 households. Efforts were made to ensure representativeness of the sample depending on the population of the study areas. Proportionate random sampling was designed to select divisions from each district, locations from each division (see survey summary document on main project page), villages from each sub-location, and households from each village. The survey villages were randomly picked from the list prepared for each division in each district. Finally, the number of households to be surveyed in each village was proportional to the number of households in that village. A list of households was made from each of the selected village and surveyed households were randomly picked. Please refer to baseline reports include with the data. Please refer to baseline reports include with the data.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Mozambique 2010
Paswel Marenya Menale Kassie (2016)
A combination of purposive and stratified sampling methods were used to include a total of four districts (Sussundenga, Manica, Gorongosa, and Angonia) in the survey. Two of the districts, Sussundenga and Manica are situated in the province of Manica while Gorongosa and Angonia are found in the provinces of Sofola and Tete, respectively. A multi-stage random sampling procedure was used where a total of 41 administrative Locations and 109 villages were randomly picked from the list prepared from each district. Based on the selected villages, probability proportional to size sampling was used to identify the households that were interviewed. A total of 510 household were targeted for the survey. Please refer to baseline reports include with the data.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Mozambique 2010
Paswel Marenya Menale Kassie (2016)
A combination of purposive and stratified sampling methods were used to include a total of four districts (Sussundenga, Manica, Gorongosa, and Angonia) in the survey. Two of the districts, Sussundenga and Manica are situated in the province of Manica while Gorongosa and Angonia are found in the provinces of Sofola and Tete, respectively. A multi-stage random sampling procedure was used where a total of 41 administrative Locations and 109 villages were randomly picked from the list prepared from each district. Based on the selected villages, probability proportional to size sampling was used to identify the households that were interviewed. A total of 510 household were targeted for the survey. Please refer to baseline reports include with the data.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Malawi 2010
Paswel Marenya Menale Kassie (2016)
Using purposive sampling, the central and Southern regions were selected. The Central region transcends from high to low altitude while the Southern region is predominantly a low altitude area. Maize is extensively grown in both regions with groundnuts and haricot beans being the dominant legume crops. The southern region however has pigeon pea as the most dominant legume. Purposive sampling in consideration of maize production potential and the agro-ecological conditions was then used in combination with stratified sampling to arrive at 6 districts; 5 in the Central region (Lilongwe, Kasungu, Mchinji, Salima and Ntcheu) and; Balaka in the Southern region. Three districts in the Central region (Lilongwe, Kasungu and Mchinji) fall under high potential area while the remaining two (Salima and Ntcheu) and Balaka in the southern region fall under a low potential area. Multi-stage random sampling combined with probability to proportional size sampling methods were then used to get 66 Extension Planning Areas (EPA’s), 91 Sections and 234 villages. The same procedure was again used to get 895 households from the 235 villages. Please refer to baseline reports include with the data. Please refer to baseline reports include with the data.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Kenya 2011
Paswel Marenya Menale Kassie Gideon Obare (2016)
Based on the data collected during the reconnaissance survey, a total of five districts were selected for the baseline survey. Two districts were from western Kenya region (Bungoma and Siaya) and three districts from eastern Kenya region (Embu, Meru South and Imenti South). A total of 600 households were targeted for this survey (300 in each region). In western Kenya, each district was allocated 150 households. Similarly, in eastern Kenya, each district was allocated 100 households. Efforts were made to ensure representativeness of the sample depending on the population of the study areas. Proportionate random sampling was designed to select divisions from each district, locations from each division (see survey summary document on main project page), villages from each sub-location, and households from each village. The survey villages were randomly picked from the list prepared for each division in each district. Finally, the number of households to be surveyed in each village was proportional to the number of households in that village. A list of households was made from each of the selected village and surveyed households were randomly picked. Please refer to baseline reports include with the data. Please refer to baseline reports include with the data.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Kenya 2015
Paswel Marenya Menale Kassie Fulgence Mishili Gideon Obare (2017)
The Adoption Pathways project was part of a portfolio of projects that has contributed to the broader theme of sustainable intensification research led by the International Maize and Wheat Improvement Center (CIMMYT) and made possible by the contribution of sev eral teams from national and international research groups brought together by funding from the Australian Centre for International Agricultural Research (ACIAR). The project was undertaken in the five Eastern and Southern African countries of Ethiopia, Kenya, Malawi, Mozambique and Tanzania. 1. Gender disaggregated three wave panel data set (2010/11, 2013), building on a legacy dataset collected under a related ACIAR funded project (SIMLESA) is now being developed covering close to 3500 households in each data wave across the five project countries. The 2015/16 data will be available in due course. 2. Several empirical evaluations of the gender gaps in technology adoption, food security and market access have been completed and published. 3. These results have been shared in various policy forums including but not limited to annual project meetings. In order to achieve its full impact in the coming years; we propose that new projects and initiatives based on the work of the Adoption Pathways project be established. These should focus on capacity building for the analysis of panel datasets, continued work on studying intrahousehold input allocation and sharing of agricultural output and scaling up the findings from this project to influence next generation of sustainable agriculture policies.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Mozambique 2013
Paswel Marenya Menale Kassie Fulgence Mishili Gideon Obare (2016)
The Adoption Pathways project was part of a portfolio of projects that has contributed to the broader theme of sustainable intensification research led by the International Maize and Wheat Improvement Center (CIMMYT) and made possible by the contribution of several teams from national and international research groups brought together by funding from the Australian Centre for International Agricultural Research (ACIAR). The project was undertaken in the five Eastern and Southern African countries of Ethiopia, Kenya, Malawi, Mozambique and Tanzania. 1. Gender disaggregated three wave panel data set (2010/11, 2013), building on a legacy dataset collected under a related ACIAR funded project (SIMLESA) is now being developed covering close to 3500 households in each data wave across the five project countries. The 2015/16 data will be available in due course. 2. Several empirical evaluations of the gender gaps in technology adoption, food security and market access have been completed and published. 3. These results have been shared in various policy forums including but not limited to annual project meetings. In order to achieve its full impact in the coming years; we propose that new projects and initiatives based on the work of the Adoption Pathways project be established. These should focus on capacity building for the analysis of panel datasets, continued work on studying intrahousehold input allocation and sharing of agricultural output and scaling up the findings from this project to influence next generation of sustainable agriculture policies.
Dataset