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Autor: Paswel Marenya
Seed systems in Sudan: an annotated bibliography
Hugo De Groote Paswel Marenya (2023)
Libro
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SEED SYSTEMS SEED INDUSTRY BIBLIOGRAPHIES
Ideas for modernizing maize and bean value chains in Kenya and Ethiopia: results from a brief survey
Paswel Marenya MARTINS ODENDO James Ouma (2015)
The development of relatively sophisticated actors along the agricultural value chains is an important precursor for agricultural development. In staple crop value chains for example, innovations around warehouse receipting and collateralization can enable farmers to successfully engage in temporal and spatial arbitrage, thereby opening opportunities to improve producer prices and expanding market horizons and creating greater market opportunities for rural households. This study summarizes the results of a market survey conducted in Eastern and Western Kenya as well as the major maize and legume markets in Ethiopia to identify key indicators of modernizing maize and legume markets in those countries. Using data from a market survey of 275 and 106 maize and /or legume traders in Ethiopia and Kenya respectively, evidence of modernization was summarized in terms of the following parameters. The existence of impersonal exchange, contract-based transactions, price information systems, standardization and quality differentiation. The survey finds that most maize and legume markets do not rely on contractual arrangements, formal price systems, do not have credit facilities to farmers and have no universal quality standardization. Two main gaps were identified. The need for formal price information systems based on widely accepted quality definitions and the needto develop the infrastructure for auxiliary services such as credit, forward sales, transportation and grading among others. On future research, empirical analyses should focus on determining the key financial, efficiency and development gains in such measures as standardized grades and quality, contracting and vertically integration.
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
Pathways to sustainable intensification in Eastern and Southern Africa - general overview
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
Pathways to sustainable intensification in Eastern and Southern Africa - Mozambique 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 l ed 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
Pathways to sustainable intensification in Eastern and Southern Africa - Tanzania 2010
Paswel Marenya Menale Kassie Fulgence Mishili (2016)
The survey targeted two maize-legume based farming systems in the eastern and northern zones of Tanzania. In the eastern zone the survey target two districts; Kilosa and Mvomero. While in the northern zone the study focused on Mbulu and Karatu districts. A combination of purposive and stratified sampling methods were used to select the four districts (Karatu, Mbulu, Mvomero and Kilosa) included in this survey. As the project focus is on maize based farming system, maize production used as an important criterion to select districts, wards and villages. A total of 39 wards were sampled. A multi-stage random sampling procedure was used to arrive at a total sample of 65 villages. In each district, wards selected with probability to proportional size. The number of villages selected with probability to proportional size was 60. In every selected village, probability to proportional size sampling was used to identify the households that were interviewed. A total of 701 households were interviewed.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - Tanzania 2010
Paswel Marenya Menale Kassie Fulgence Mishili (2016)
The survey targeted two maize-legume based farming systems in the eastern and northern zones of Tanzania. In the eastern zone the survey target two districts; Kilosa and Mvomero. While in the northern zone the study focused on Mbulu and Karatu districts. A combination of purposive and stratified sampling methods were used to select the four districts (Karatu, Mbulu, Mvomero and Kilosa) included in this survey. As the project focus is on maize based farming system, maize production used as an important criterion to select districts, wards and villages. A total of 39 wards were sampled. A multi-stage random sampling procedure was used to arrive at a total sample of 65 villages. In each district, wards selected with probability to proportional size. The number of villages selected with probability to proportional size was 60. In every selected village, probability to proportional size sampling was used to identify the households that were interviewed. A total of 701 households were interviewed.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - cross country report 2013
Paswel Marenya Menale Kassie Fulgence Mishili Gideon Obare (2017)
The main objective of this report is to present the overall results from the APP project survey across the five project countries. The results are meant to share knowledge on sustainab le intensification practices (SIPs) landscape, maize productivity, access to institutional services and welfare of farm households in the project target areas. The report is mainly based on descriptive statistics and it is organized as follows:- chapter two of this reports outlines the main socioeconomic characteristics of the households in the study areas of the five project countries mainly concentrating on the demographic characteristics of the households surveyed and ownership of key livestock and non-livestock assets. On the other hand, chapter three delves into adoption of sustainable agricultural intensification practices across the five countries with more detailed analysis and discussion of adoption of improved maize varieties and inorganic fertilizer. The profiling of surveyed households based on key welfare outcomes is outlined in chapter four while chapter five describes household income structure, risks and livelihood shocks.
Dataset
Pathways to sustainable intensification in Eastern and Southern Africa - general overview
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
Pathways to sustainable intensification in Eastern and Southern Africa - Tanzania 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