Farmer Innovation Fund Impact Evaluation 2012

Agriculture accounts for 85 percent of employment and 46 percent of GDP in Ethiopia. As a result, development in Ethiopia depends on strengthening rural capacity through extension services and through supporting farmer associations and training centers. However, it is difficult for such development to be equal across gender because women farmers have less access to agricultural technology. Given that women account for about 60 percent of agricultural labor in Ethiopia, it is important to understand how and why they differ from men in Ethiopia’s agricultural sector. The Farmer Innovation Fund (FIF) is a component of the Rural Capacity Building Projects (RCBP) which seeks to strengthen the extension system and increase gender equality in extension services. FIF provides funds to farmer groups to implement innovative ideas developed and partially funded by the groups themselves. FIF also plans to decentralize funding from the woreda, or ward, level to the farmer training center level.

To evaluate the effectiveness of FIF, an impact evaluation study was conducted in Amhara and Tigray states, where FIF was rolled out as a randomized intervention. The impact evaluation included three surveys: a baseline, conducted in August-October 2010; a midline, carried out in April 2012; and an endline, administered in June 2013. The data collected from the surveys examined how women-only training programs effect women’s participation in agricultural and extension services and which kind of training package is the most effective in improving women’s economic empowerment. In addition, the impact evaluation studied the effects that participation in training has on intra-household allocation of resources, decision making within households, and domestic violence. Also, variables related to food consumption enabled an analysis of how training programs affect children’s nutrition.

The midline survey covered 2,492 households, a subset of the original sample of 2,675 from the baseline survey. Within each household, surveys were given to men and women. In addition, a separate survey was given to individuals who were a single head of household. Among the original 2,675 households, 869 were assigned as non-FIF households to serve as a pure control group and on the remaining households a simple lottery design was used to randomly assign 958 of the households to the treatment group and 848 households to the control group. Individuals in treatment households received FIF training, while individuals in the control households did not.

Performance of diverse upland rice cultivars in low and high soil fertility conditions in West Africa

Traditional tropical japonica (Oryza sativa) and Oryzaglaberrimacultivars are typically grown in lowinput, subsistence production systems in the uplands of West Africa by resource-poor farmers. In these systems, low soil fertility (LF), which is generally associated with lower organic carbon content, and N and P availability, is one of the major constraints to rice productivity. Thus, cultivars adapted to LF are needed for the food security of farmers, who would otherwise be solely reliant on nutrient inputs to increase productivity. This study evaluated the performance of six diverse cultivars grown in LF and high soil fertility (HF) conditions with supplemental irrigation over two seasons. Average grain yield across all cultivars in LF was 54% of that in HF (156 vs. 340 g m_2). Three improved indicarice cultivars and CG 14 (O. glaberrima) out-yielded Morobe´ re´kan (traditional tropical japonica) and WAB450-IBP-38-HB (progeny from interspecific hybridization of tropical japonica and O. glaberrima) in LF (181 vs. 105 g m_2 on average). The high grain yield in LF was the result of large spikelet number m_2 due to superior tillering ability and high harvest index rather than biomass production. The high-yielding cultivars in LF consistently had lower leaf chlorophyll content and higher specific leaf area during the period from the early vegetative stage through the reproductive stage. Among them, two indicacultivars (B6144F-MR-6-0-0 and IR 55423-01) were also high yielding in HF. The use of improved indicacultivars adapted to LF, but also with input-responsiveness, appears to offer an attractive and economical approach to improving upland rice productivity and widening genetic diversity in this region.

Influence of clone provenance, branch diameter and positioning on the rooting ability of Dacryodes edulis macot in sourthen Cameroon.

In the process of participatory domestication of agroforestry species, one of the objectives is the conservation of genotype of fruit trees commonly used by local people and the overpower of their reproductive system. For this, techniques of vegetative propagation (tissue culture, grafting, cuttings and air layering) are applied
to those species which include the safou (Dacryodes edulis “G. Don” HJ Lam.) (Burseraceae), which is a forest tree native to tropical and equatorial Africa. It plays an undeniable role in the lives of Farmers. In addition to its fruit eaten as a food supplement, its wood is used for heating and contribution of traditional medicine should not be overlooked. The objective of this work is to identify clones that are better suited for air layering and assess the effect of the diameter of the marcots on its ability to take root. To achieve these objectives, 12 clones and two diameter classes (2-3 cm and 3-5 cm) were tested in this trial conducted following a randomized complete block.

Malawi Complementary Panel Survey (CPS) 2000-2002

The Complementary Panel Survey (CPS) is a continuation of the work undertaken by the Malawi Poverty Monitoring System (PMS) since 1997. Four rounds of the CPS were conducted between January 2000 and September 2002. The PMS itself was conceived as part of the Government of Malawi’s Poverty Alleviation Programme (PAP) launched in 1994. The Policy Framework for PAP articulated the overall objective of the PMS as being to assist the government monitor poverty by collecting and analyzing data rel
evant to track progress in poverty reduction and to help guide the formulation of poverty alleviation policies and programs.



The Malawi National Statistical Office, the National Economic Council (NEC) and the Center for Social Research of the University of Malawi along with the technical assistance of the International Food Policy Research Institute (IFPRI), a program encompassing the implementation of a regular detailed Integrated Household Survey (IHS) was designed. The resulting Complementary Panel Survey is based on the IHS sample and complementary to the IHS, and the poverty analysis of the data collec
ted by the two survey programs. The IHS was to be conducted every three to five years, while the panel survey twice a year. The final sample size of the CPS in the first round was 758 households.



The CPS dataset includes information on education; morbidity; food security and coping strategies; labour and employment; income, expenditures, and transfers. The questionnaire for the fourth round of the CPS was developed explicitly to allow a welfare indicator to be constructed that would be comparable to the welfare indicator developed in the poverty analysis of the 1997-98 Integrated Household Survey. This was necessary to allow the IHS data and poverty analysis to be linked to th
e CPS data in order to undertake an analysis of the dynamics of household welfare in the CPS sample between the IHS and the fourth round.

2012 Global Hunger Index Data

The 2012 GHI report focuses particularly on the issue of how to ensure sustainable food security under conditions of water, land, and energy stress. Demographic changes, rising incomes and associated consumption patterns, and climate change, alongside persistent poverty and inadequate policies and institutions, are all placing serious pressure on natural resources. In this report, IFPRI describes the evidence on land, water, and energy scarcity in developing countries and offers two visions of a future global food system—an unsustainable scenario in which current trends in resource use continue, and a sustainable scenario in which access to food, modern energy, and clean water improves significantly and ecosystem degradation is halted or reversed. Concern Worldwide and Welthungerhilfe provide on-the-ground perspectives on the issues of land tenure and title as well as the impacts of scarce land, water, and energy on poor people in Sierra Leone and Tanzania and describe the work of their organizations in helping to alleviate these impacts.


See other formats of data here: Linked Open Data (LOD)[OWL Version] and [RDF Version]

See visual data at: Data Visualization

Pilot Analysis of Global Ecosystems (PAGE), Agroecosystems dataset

The Pilot Analysis of Global Ecosystems (PAGE): Agroecosystems was one of four pilot studies undertaken as precursors to the Millennium Ecosystem Assessment. The study identifies linkages between crop production systems and environmental services such as food, soil resources, water, biodiversity, and carbon cycling, in the hopes that a better understanding of these linkages might lead to policies that can contribute both to improved food output and to improved ecosystem service provision. Th
e PAGE Agroecosystems report includes a series of 24 maps that provide a detailed spatial perspective on agroecosystems a
nd agroecosystem services. Pilot Analysis of Global Ecosystems (PAGE): Agroecosystems Dataset offers the 9 geospatial datasets used to build these maps.


The datasets are:

PAGE Global Agricultural Extent. The data describe the location and extent of global agriculture and are derived from GLLCCD 1998; USGS EDC1999a.

PAGE Global Agricultural Extent version 2. The data are an update of the original PAGE Global Agricultural Extent, based on version 2 of the Global Land Cover Characteristics Dataset (GLCCD v2.0, USGS/EDC 2000). The methods used to create this dataset were the same as those employed to create the origina
l PAGE Global Agricultural Extent.

Mask of the Global Extent of Agriculture. This dataset displays the global extent of agricultural areas as defined by the PAGE study. The other datasets made available on this site (eg. tree cover, soil carbon, area free of soil constraints) only show values for areas within this agricultural extent.

PAGE Global Agroecosystems. These data characterize agroecosystems, defined as “a biological and natural resource system managed by humans for
the primary purpose of producing food as well as other socially valuable nonfood products and environmental services.”


Percentage Tree Cover within the Extent of Agriculture. This is a raster dataset that shows the proportion of land area within the PAGE agricultural extent that is occupied by “woody vegetation” (mature vegetation whose approximate height is greater than 5 meters).

Carbon Storage in Soils within the PAGE Agricultural Extent. The data give a global estimate of soil organic carbon storage in agricultural lands, calculated by applying Batjes’ (1996 and 2000) soil organic carbon
content values by soil type area share of each 5 x 5 minute of the Digital Soil Map of the World (FAO 1995).


Agriculture Share of Watershed. This dataset depicts agricultural area as a share of total watershed area. The share of each watershed that is agricultural was calculated by applying a weighted percentage to each PAGE agricultural land cover class.

Area Free of Soil Constraints. The data show the proportional area within the PAGE agricultural extent that is free from soil constraints. The area free of soil constraints is based on fertility capability classification (FCC) app
lied to FAO’s Digital Soil Map of the World (1995).

Outline of Land and Water Area. These data are used to provide a boundary for land areas and facilitate the readability of maps.

Assessing the Potential of Farmer Field Schools (FFS) to Fight Poverty and Foster Innovation in East Africa

This is a unique primary household and community level survey data in Kenya, Tanzania, and Uganda. The study was started in 2008/2009 and the data collection took place in selected districts in Kenya, Tanzania, and Uganda. The project’s goal was to provide strong evidence to policy makers and other stakeholders in development on the effectiveness of Farmer Field Schools (FFS) in fighting poverty and fostering innovation. The specific objectives of the field data collection were to characterize farm households in terms of poverty and well-being, members-and non- FFS members, on the basis of socio-economic parameters; analyze farmers’ access to agricultural services (markets, credit and extension); and assess household’s level of individual and collective empowerment.

A 1997 Social Accounting Matrix for Honduras

Contrary to the previous Social Accounting Matrix (SAM) for Honduras, the 1997 SAM largely disaggregates activities, labour and households. It draws from Central Bank’s estimates in disaggregating an intermediate demand system for Honduras. As a result, the 1997 SAM permits a meaningful and detailed analysis of the productive structure of the economy as well as alternative trade reforms and income distribution channels. Agricultural activities are further disaggregated into traditional exports, non-traditional exports, and subsistence sectors. Similarly, manufactures are further disaggregated into multiple sectors. Key activities in the economy such as coffee, banana and sugar production or textile manufacturing are all individually accounted for. Labour is disaggregated according to skill, gender and occupation, while households are classified according to these criteria in addition to geographical location (urban vs. rural). Finally, the paper describes both the macroeconomic and microeconomic SAMs, paying special attention to a careful documentation of data sources, assumptions, and balancing methods.

A 1997 Social Accounting Matrix (SAM) for Egypt — Disaggregated Version

The disaggregated Egypt Social Accounting Matrix (SAM) was constructed for 1997 for an analysis of Egypt’s food subsidy system. It has 28 productive sectors (activities), 36 commodities, 10 households, 5 factors, a government account and a rest-of-the-world account. The SAM has a detailed treatment for agriculture, there are 14 agricultural sectors producing 22 agricultural commodities. Bread and flour are two commodities that are subsidized in Egypt. The SAM accounts for these commodities and splits them into subsidized and unsubsidized, a treatment that facilitates the analysis of food subsidy issues. The SAM also differentiates between urban and rural households by quintiles, allowing welfare, inequality and poverty analysis. In addition to land, the SAM distinguishes between agricultural and nonagricultural labor and capital. For a description of the construction and use of this dataset, download the Trade and Macroeconomics Division Discussion Paper Number 48 (PDF 220K).

Kenya, Land Tenure, Agricultural Productivity and the Environment: Suba and Laikipia Districts, 2001

The Land Tenure, Agricultural Productivity and the Environment: Suba and Laikipia Districts, Kenya, 2001 dataset accompanies a study that examines the relationships between the land tenure, agricultural productivity, and the environment in order to provide the necessary policy guidelines to the Government and other stakeholders. The study was carried out in two districts, Suba and Laikipia. It is believed that these two districts provide a wide range of tenure systems, cultural backgrounds a
nd agro-ecological diversities on which reasonable policy conclusions can be made.



Specific objectives of this study were:


•Establish the relationship between security of tenure and agricultural productivity;


•Identify and establish the link between security of tenure and investment in environmental conservation and soil fertility enhancement and maintenance;


•Establish the link between tenure system and environmental degradation; and


•Analyze gender relations, land tenure and productivity.


The dataset contains info
rmation on household characteristics such as household income, occupation, socioeconomic background, land characteristics such as parcel size, sale of land, security of access to land, and others including environmental degradation, conservation measures, hired labor, livestock ownership, infrastructure, and access to credit.




The survey was undertaken in 4 sub-locations per district. These were randomly selected from a cluster of 10 sub-locations in each district. Each of these clusters was expected to have almost the same agro-ecological conditions with a wide range of tenure systems. In each selected cluster, a list of the household heads were compiled. The target respondents were then randomly selected from this list. A total of 40 respondents was randomly selected from each cluster (sub-location).