Year Published
- 2008 (3) Apply 2008 filter
- 2009 (13) Apply 2009 filter
- (-) Remove 2010 filter 2010
- (-) Remove 2011 filter 2011
- 2012 (6) Apply 2012 filter
- 2013 (8) Apply 2013 filter
- 2014 (4) Apply 2014 filter
- 2015 (9) Apply 2015 filter
- (-) Remove 2016 filter 2016
- 2017 (10) Apply 2017 filter
- 2018 (3) Apply 2018 filter
- 2019 (1) Apply 2019 filter
- 2020 (0)
- 2021 (1) Apply 2021 filter
Research Topics
Populations
Types of Research
Geography
- East Africa Region and Selected Countries (12) Apply East Africa Region and Selected Countries filter
- Global (3) Apply Global filter
- South Asia Region and Selected Countries (3) Apply South Asia Region and Selected Countries filter
- Southern Africa Region and Selected Countries (2) Apply Southern Africa Region and Selected Countries filter
- Sub-Saharan Africa (16) Apply Sub-Saharan Africa filter
- West Africa Region and Selected Countries (3) Apply West Africa Region and Selected Countries filter
Dataset
Current search
- (-) Remove 2010 filter 2010
- (-) Remove Research & Development filter Research & Development
- (-) Remove Information & Mobile Technology filter Information & Mobile Technology
- (-) Remove Labor & Time Use filter Labor & Time Use
- (-) Remove Risk, Preferences, & Decision-Making filter Risk, Preferences, & Decision-Making
- (-) Remove Agricultural Productivity, Yield, & Constraints filter Agricultural Productivity, Yield, & Constraints
- (-) Remove 2011 filter 2011
- (-) Remove 2016 filter 2016
Common estimates of agricultural productivity rely upon crude measures of crop yield, typically defined as the weight harvested of a crop divided by the area harvested. But this common yield measure poorly reflects performance among farm systems combining multiple crops in one area (e.g., intercropping), and also ignores the possibility that farmers might lose crop area between planting and harvest (e.g., partial crop failure). Drawing on detailed plot-level data from the LSMS-ISA in Tanzania, Nigeria, and Ethiopia, we show how various yield measurement decisions affect estimates of smallholder yields for a variety of crops. We consider the effect of measuring production by plot area, area planted, and area harvested, of trimming the top 1% and 2% of values, and of considering different groups of farmers according to total area planted.
Household survey data are a key source of information for policy-makers at all levels. In developing countries, household data are commonly used to target interventions and evaluate progress towards development goals. The World Bank’s Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) are a particularly rich source of nationally-representative panel data for six Sub-Saharan African countries: Ethiopia, Malawi, Niger, Nigeria, Tanzania, and Uganda. To help understand how these data are used, EPAR reviewed the existing literature referencing the LSMS-ISA and identified 415 publications, working papers, reports, and presentations with primary research based on LSMS-ISA data. We find that use of the LSMS-ISA has been increasing each year since the first survey waves were made available in 2009, with several universities, multilateral organizations, government offices, and research groups across the globe using the data to answer questions on agricultural productivity, farm management, poverty and welfare, nutrition, and several other topics.
This brief summarizes the evidence base for various types of commonly-used time use measurements, lists categories of time use as identified by major organizations and reports, and identifies studies finding significant impacts of interventions designed to reduce specific time constraints. The various approaches to time use measurement method each have different limitations (cost, timing, seasonality, susceptibility to recall bias, etc.), which may have implications for data analysis. The choice of how to measure time use may be particularly important for analyzing women’s time use. For example, limiting respondents to one activity per time slot when measuring daily time allocation may underestimate women's productivity or time allocations, as they are more likely than men to conduct simultaneous activities, such as childcare along with other activities.
Agricultural productivity growth has been empirically linked to poverty reduction across a range of measures for both staple and export crops. Many public and private organizations have thus made it a priority to increase farm productivity, and have invested billions toward this end.This report compiles measures commonly used to track agricultural productivity and discusses the ways in which they are subject to error, bias, and other data limitations. Though each measure has limitations, choosing the measure(s) most appropriate to the goals of an analysis and understanding the sources of variation allows for more effective and closely targeted investments and policy and program recommendations, particularly when measures suggest different drivers of productivity growth and links to poverty reduction.
This is "Section B" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of household characteristics by gender and by administrative zone, considering landholding size, number of crops grown, yields, livestock, input use, and food consumption.
This is "Section E" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of livestock and livestock by-product characteristics by gender of household head and by zones, as well as our analyses of livestock disease, vaccines, and theft.
This is "Section D" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of basic farm characteristics, land and labor productivity, crop sales, yield measures, intercropping, and pre- and post-harvest losses, including comparisons by gender of household head and by zone.
This is the introductory section of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present an overview of report sections, as well as an executive summary of findings on crops and livestock, constraints to productivity, and productivity and nutrition outcomes.
This presentation summarizes the biotic (insects, viruses, fungi, bacteria, weeds, and post-harvest pests) and abiotic (drought and soil nutrients) stresses that may be addressed or countered in order to improve crop yield in Sub-Saharan Africa and South Asia. Data is sourced from FAOSTAT, GAEZ, a series of academic papers by Waddington & Dixon, and IMPACT model estimates. Slides compare area harvested, yield, and yield gap percentage with total calories per year, the 2005 value of production, and projected growth between 2005-2030.
This research brief synthesizes evidence on the effects of policy incentives on agricultural productivity. The evidence discussed is primarily drawn from documents provided to EPAR by the Bill and Melinda Gates Foundation. We review the role of policy and institutions in the Asian Green Revolution, a detailed case study on how policy changes have removed smallholder productivity constraints and contributed to growth, and the theory on the connection of policy incentives to productivity growth.