Seasonality and Recall in Labor Supply Data in Rural Malawi
International Food Policy Research Institute (IFPRI). Washington, DC 2022
International Food Policy Research Institute (IFPRI). Washington, DC 2022
DOI : 10.7910/DVN/NQYOIX
Abstract | Link
This dataset explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi. The sample was chosen randomly from among those that reported cell phone numbers in a previous multi-topic, in person survey in several regions of rural Malawi.
Performance of Maize Following Groundnut Varieties at Different Densities
Lilongwe University of Agriculture and Natural Resources. Washington, DC 2021
Lilongwe University of Agriculture and Natural Resources. Washington, DC 2021
DOI : 10.7910/DVN/1T4Q3F
Abstract | Link
This dataset is generated from maize response trials (legume/maize rotation system) that were conducted in Linthipe EPA, Dedza district, and Ntubwi EPA in Machinga district in Malawi, 2019/2020 cropping season. In the previous season, certifies and recycled seed of different varieties of groundnut were grown. In the current season, maize was planted as a test crop.
Application of Sustainable Intensification (SI) Technologies Among Farmers Interacting With Africa Rising
Michigan State University (MSU). Washington, DC 2021
Michigan State University (MSU). Washington, DC 2021
DOI : 10.7910/DVN/6PTUPH
Abstract | Link
This dataset was generated from the study conducted to determine whether there is any significant difference in the uptake of sustainable intensification (SI) technologies by farmers because of their interaction with the research team during project implementation. Africa RISING project started interacting with farmers during the 2012/13 cropping season in three agro-ecologies in central Malawi. International Maize and Wheat Improvement Center (CIMMYT) started interacting with farmers who were using conservation agriculture-based SI technologies since the 2007/2008 cropping season in three agro-ecologies in central Malawi. In this study, both CIMMYT and Michigan State University (MSU) led trials were selected. Over time, some new farmers were engaged, creating an opportunity to also study exposure time as a factor to understand the intensity and use of SI technologies. We grouped farmers into two categories to assess the effect of exposure time: (1) farmers who were engaged at the onset of the project (2012/2013), and (2) farmers who were engaged starting 2016/2017 cropping season. Farmers were primarily engaged at different levels. I. Mother trial farmers ? these were farmers who hosted fully replicated trials with a range of technologies, often more than 8 treatments. They were a nucleus group of farmers, who anchored the learning process. They were visited more by researchers and often hosted field days. Farmer interaction with researchers and extension was rated as ?high?. Three mother trials per agroecology were selected for the determination of water-limited yield potential. II. Mother trial farmer experimenter ? these were the same host farmers who were applying SI technologies on their wider farms. Three fields were selected to capture yield data from these. III. Baby farmers: These were a selected group of farmers who were associated with a mother trial. These farmers usually participated in field days and engaged with extension staff. IV. Local controls: These farmers were located in the same village as the mother and baby trial farmers. They did not directly benefit from Africa RISING but were exposed to Africa RISING technologies through field days. They often did not directly relate to the project. At least 3 local controls per mother (3x3 = 9 farmers per agro-ecology) were chosen.
Conservation Agriculture Mother Trials in Malawi, 2020
International Maize and Wheat Improvement Center (CIMMYT). Washington, DC 2021
International Maize and Wheat Improvement Center (CIMMYT). Washington, DC 2021
DOI : 10.7910/DVN/QLJUY7
Abstract | Link
This dataset is a result of a study that was carried out in nine on-farm sites of Central and Southern Malawi to understand and compare the effects of different cropping systems (conservation agriculture (CA) and conventional) on soil physical and chemical parameters and long-term maize productivity. Six experiments were established in each target community. Each experiment had three treatments at one farm and was treated as a replicate, plot sizes were 0.1 ha per treatment. The treatments were as follows: 1. Conventional control plot consisting of the traditional ridge and furrow land preparation planted with continuous monocrop maize (CPM). The residues were managed using methods commonly practiced in each extension planning area; i.e., the residues were incorporated into the ridges. Continuous monocrop maize was planted on the ridges. 2. CA plot with continuous monocrop maize (CAM) planted into the previous years? ridges (where they still existed) or directly into the plot without previous ridge formation. Crop residues from the previous years? harvests were retained as a surface mulch. Maize seeds were planted as sole crops in no-till methods using a pointed stick (dibble stick). 3. CA plot with maize intercropped with a legume [cowpea or pigeon pea or groundnut. Both crops were planted with the dibble stick into the previous years? ridges (where they still existed) or directly into the plot without further ridging. Crop residues were retained as surface mulch as in treatment 2.
Agricultural Extension Services and Technology Adoption Survey, 2016
International Food Policy Research Institute (IFPRI). Washington, DC 2021
International Food Policy Research Institute (IFPRI). Washington, DC 2021
DOI : 10.7910/DVN/1VSK7V
Abstract | Link
This study contains data that were collected to assess the demand and supply of extension services in Malawi. The survey covers 3001 households and 299 sections in all 29 districts in Malawi (excluding Likoma). These surveys were complemented by follow-up visits and in-depth interviews with farmers in four communities and interviews with more than 30 key informants at national, district, EPA, and section levels The data collected include information about the household and head; agricultural practices and production by plot; sales and utilization by crops, tree crops, livestock and fisheries; technology adoption; extension services; access to inputs and credit; social networks; food security and dietary diversity; non-food expenditure; and other measures of economic and social welfare.
Agricultural Extension Services and Technology Adoption Survey, 2018
International Food Policy Research Institute (IFPRI). Washington, DC 2021
International Food Policy Research Institute (IFPRI). Washington, DC 2021
DOI : 10.7910/DVN/JCXY6E
Abstract | Link
This study contains data that were collected to assess the demand and supply of extension services in Malawi. The survey covers 2,888 households and 299 sections in all 29 districts in Malawi (excluding Likoma) and was conducted from July-September 2018. These surveys were complemented by follow-up visits and in-depth interviews with farmers in four communities and interviews with more than 30 key informants at national, district, EPA, and section levels The data collected include information about the household and head; agricultural practices and production by plot; sales and utilization by crops, tree crops, livestock and fisheries; technology adoption; extension services; access to inputs and credit; social networks; food security and dietary diversity; non-food expenditure; and other measures of economic and social welfare.
Qualitative Research Protocols for Measuring Gendered Constraints to Employment and Entrepreneurship in Malawi
International Food Policy Research Institute (IFPRI). Washington, DC 2021
International Food Policy Research Institute (IFPRI). Washington, DC 2021
DOI : 10.7910/DVN/3NWCWO
Abstract | Link
The qualitative research protocols were designed by the International Food Policy Research Institute (IFPRI) in collaboration with the Millennium Challenge Corporation (MCC) to identify issues that most constrain women’s access to employment and entrepreneurship opportunities in Malawi and to understand how benefit streams for economic growth due to low participation of women in employment and entrepreneurship can be unlocked through removing constraints. More broadly, the protocols are part of an effort to improve the integration of gender into growth constraints diagnostics, an analytic approach commonly used by development organizations, such as MCC, to identify ‘binding’ constraints to economic growth within a particular economy and prioritize policy reforms to ease those constraints.
Randomized Control Trial Baseline Data on Use of Improved Efficient Cookstoves in Malawi
International Food Policy Research Institute (IFPRI). Washington, DC 2021
International Food Policy Research Institute (IFPRI). Washington, DC 2021
DOI : 10.7910/DVN/SYLMLP
Abstract | Link
This survey was conducted to collect baseline data for a randomized control trial preceding the introduction of improved energy cookstoves in the Dedza District in the Central Region of Malawi. A similar baseline study was also conducted in Mozambique in the district of Angonia. Dedza district in Malawi was selected because it shares a transboundary with Angonia district in Mozambique and has similar biophysical and socioeconomic conditions. This selection was intended because the project was set out to examine how differences in policies in the two countries contributed to the adoption and use of improved cookstoves under a randomized control trial experiment. The data also includes a section on discrete choice experiments that test several price subsidy policy options and their impact on the possible uptake of improved cookstoves. The data also includes another section again on discrete choice experiments testing fertilizer subsidy policy options and how they could impact on the uptake of agroforestry.
Randomized Control Trial Endline Data on Use of Improved Efficient Cookstoves in Malawi
International Food Policy Research Institute (IFPRI). Washington, DC 2021
International Food Policy Research Institute (IFPRI). Washington, DC 2021
DOI : 10.7910/DVN/9XAA55
Abstract | Link
This survey was conducted to collect endline data for a randomized control trial study. The endline survey was conducted two years after the introduction of improved energy cookstoves in the Dedza District in the Central Region of Malawi. A similar endline study was also conducted in Mozambique in the district of Angonia. Dedza district in Malawi was selected because it shares a transboundary with Angonia district in Mozambique and have similar biophysical and socioeconomic conditions. This selection was intended because the project was set out to examine how differences in policies in the two countries contributed to adoption and use of improved cookstoves under a randomized control trial experiment.
Malawi Soil Profile Data – Malawi Land Resources Evaluation Project, 1987 to 1991
Ministry of Agriculture, Government of Malawi; United Nations Development Program (UNDP); Food and Agricultural Organization of the United Nations (FAO). Washington, DC 2021
Ministry of Agriculture, Government of Malawi; United Nations Development Program (UNDP); Food and Agricultural Organization of the United Nations (FAO). Washington, DC 2021
DOI : 10.7910/DVN/RBEWFZ
Abstract | Link
The Land Resources Evaluation Project (LREP), which ran from 1988 to 1992, was a joint government of Malawi, United Nations Development Programme (UNDP), and Food and Agriculture Organization (FAO) project that involved a close reconnaissance of the agro-ecological resources of Malawi. Extensive fieldwork was done to map the soils across the country at the moderately detailed scale of 1:250,000 (1 cm = 2.5 km). Weather data were analyzed to generate averages for various indicators for use in mapping the agro-climatological zones of Malawi at the same geographic scale.
The soils and agroclimatic maps developed were then overlaid to develop a ‘land unit’ map for Malawi. Each land unit is defined by a unique combination of relatively homogeneous soil and climate properties within its boundaries. These land units were then used with information on the optimal soil and climate conditions for growing a range of rainfed agricultural crops, as well as irrigated rice and tree species, to undertake a spatial suitability analysis for the production of each in each land unit.
The soil survey mapping involved examining soil profiles from several thousand locations across the country between November 1987 and September 1991. The soil surveyors recorded information on the soil profiles and on individual horizons within the soil profiles on standard forms while they were in the field. The data collection forms in paper format were then archived by the Land Husbandry Branch (later renamed Land Resources and Conservation Branch). Soil samples were also collected for chemical analysis. Key professional personnel involved in the collection of the soil profile data included J.A. Eschweiler, S.J. Nanthambwe, S. Paris, J.H. Venema, A.J.M. Lorkeers, R.I. Green, A.E. Kandodo, P. Banda, Mr. Chikowi
Digital records of the soil profile data were not created under the LREP-Malawi project. In 1999, members of the Maize Commodity Team at Chitedze Agricultural Research Station, led by Todd Benson, created digital files of the LREP soil profile and horizon data from the paper field data forms. The majority of the data entry was done by Sophie C. Nambuzi, with assistance from Ivy Ligowe and Maction Komwa. The efforts of the team were generously assisted by Mr. Stephen J. Nanthambwe of the Land Resources and Conservation Branch, who was a participant in the original soil sampling exercise.
The soils and agroclimatic maps developed were then overlaid to develop a ‘land unit’ map for Malawi. Each land unit is defined by a unique combination of relatively homogeneous soil and climate properties within its boundaries. These land units were then used with information on the optimal soil and climate conditions for growing a range of rainfed agricultural crops, as well as irrigated rice and tree species, to undertake a spatial suitability analysis for the production of each in each land unit.
The soil survey mapping involved examining soil profiles from several thousand locations across the country between November 1987 and September 1991. The soil surveyors recorded information on the soil profiles and on individual horizons within the soil profiles on standard forms while they were in the field. The data collection forms in paper format were then archived by the Land Husbandry Branch (later renamed Land Resources and Conservation Branch). Soil samples were also collected for chemical analysis. Key professional personnel involved in the collection of the soil profile data included J.A. Eschweiler, S.J. Nanthambwe, S. Paris, J.H. Venema, A.J.M. Lorkeers, R.I. Green, A.E. Kandodo, P. Banda, Mr. Chikowi
Digital records of the soil profile data were not created under the LREP-Malawi project. In 1999, members of the Maize Commodity Team at Chitedze Agricultural Research Station, led by Todd Benson, created digital files of the LREP soil profile and horizon data from the paper field data forms. The majority of the data entry was done by Sophie C. Nambuzi, with assistance from Ivy Ligowe and Maction Komwa. The efforts of the team were generously assisted by Mr. Stephen J. Nanthambwe of the Land Resources and Conservation Branch, who was a participant in the original soil sampling exercise.
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