Research Topics

EPAR Technical Report #310
Publication Date: 11/20/2015
Type: Literature Review
Abstract

Cereal yield variability is influenced by initial conditions such as suitability of the farming system for cereal cultivation, current production quantities and yields, and zone-specific potential yields limited by water availability. However, exogenous factors such as national policies, climate, and international market conditions also impact farm-level yields directly or provide incentives or disincentives for farmers to intensify production. We conduct a selective literature review of policy-related drivers of maize yields in Ethiopia, Kenya, Malawi, Rwanda, Tanzania, and Uganda and pair the findings with FAOSTAT data on yield and productivity. This report presents our cumulative findings along with contextual evidence of the hypothesized drivers behind maize yield trends over the past 20 years for the focus countries.

EPAR Technical Report #303
Publication Date: 08/10/2015
Type: Data Analysis
Abstract

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 Tanzania’s National Panel Survey, our research contrasts measures of smallholder productivity using production per hectare harvested and production per hectare planted.

An initial analysis (Research Brief - Rice Productivity Measurement) looking at rice production finds that yield by area planted differs significantly from yield by area harvested, particularly for smaller farms and female-headed households. OLS regression further reveals different demographic and management-related drivers of variability in yield gains – and thus different implications for policy and development interventions – depending on the yield measurement used. Findings suggest a need to better specify “yield” to more effectively guide agricultural development efforts.

 

EPAR Technical Report #245
Publication Date: 04/10/2015
Type: Data Analysis
Abstract

A farmer’s decision of how much land to dedicate to each crop reflects their farming options at the extensive and intensive margins. The extensive margin represents the total amount of agricultural land area that a farmer has available in a given year (referred to interchangeably as ‘farm size’ or ‘agricultural land’). A farmer increases land use on the extensive margin by planting on new agricultural land. The intensive margin represents area planted of crops as a proportion of total farm size. A farmer increases the intensive margin by increasing output within a fixed area. This analysis examines cropping patterns for households in Tanzania between 2008 and 2010 using data from the Tanzania National Panel Survey (TZNPS).  This brief describes changes in farm size, total area planted, and area planted of select annual crops to highlight the dynamic nature of farmer’s cropping choices for a sample population of 2,246 agricultural households that reported having any agricultural land in 2008 or 2010. Throughout the brief, we present summary statistics at the national level and compare them with household-level data to show how results vary depending on how the sub-population is defined and how average measures can mask household level changes. We analyze these questions in the context of smallholders (defined as households with total agricultural land area as less than two hectares) and farming systems.  

EPAR Technical Report #293
Publication Date: 03/31/2015
Type: Literature Review
Abstract

This report reviews the current body of peer-reviewed scholarship exploring the impacts of morbidity on economic growth. This overview seeks to provide a concise introduction to the major theories and empirical evidence linking morbidity – and the myriad different measures of morbidity – to economic growth, which is defined primarily in terms of gross domestic product (GDP) and related metrics (wages, productivity, etc.). Through a systematic review of published manuscripts in the fields of health economics and economic development we further identify the most commonly-used pathways linking morbidity to economic growth. We also highlight the apparent gaps in the empirical literature (i.e., theorized pathways from morbidity to growth that remain relatively untested in the published empirical literature to date).

EPAR Technical Report #59
Publication Date: 12/15/2009
Type: Research Brief
Abstract

Agriculture and Climate Change: Part I

With estimated global emissions of 5,969-6,615 metric tons (Mt) of carbon dioxide (CO2) per year, agriculture accounts for about 13.5% of total global anthropogenic emissions of greenhouse gases (GHG). Deforestation contributes about 11.8% of total GHG emissions, releasing about 5,800 Mt CO2 per year. Developing countries are largely responsible for emissions from agriculture and deforestation, with the developing countries of South Asia and East Asia accounting for 17% and 25% of global agricultural emissions respectively. Sub-Saharan Africa (SSA) accounts for about 13% of global emissions from agriculture and 15% of emissions from land use change and forestry. This report examines the biophysical and economic potential of mitigating agriculture and land use GHG emissions, and provides a summary on the current and projected impact of global carbon market mechanisms on emission reductions. 

Agriculture and Climate Change: Part II

This report covers two topics related to agriculture and climate change in developing countries. The first section discusses the role of agricultural offsets in mitigating greenhouse gas emissions. Recent negotiations around a post-Kyoto Protocol agreement have included debate about whether agricultural carbon sequestration projects should be eligible under the Clean Development Mechanism (CDM). We examine the reasons for supporting or opposing this type of CDM reform and how these reasons relate to impacts on development goals and smallholder farmers, scientific uncertainty about carbon sequestration, and philosophical disagreement about the use of emission offsets. The second section covers proposed agricultural adaptation activities in Africa and other developing countries. While the majority of developing countries have outlined immediate adaptation needs in National Adaptation Programs of Action (NAPAs), few have made progress in implementing adaptation activities. We find that issues related to financial resources, scientific and technical information, and capacity building continue to challenge developing countries in preparing for the impacts of climate change.