Year Published
- 2008 (0)
- 2009 (7) Apply 2009 filter
- 2010 (14) Apply 2010 filter
- 2011 (1) Apply 2011 filter
- 2012 (0)
- 2013 (0)
- 2014 (0)
- 2015 (0)
- 2016 (0)
- 2017 (0)
- (-) Remove 2018 filter 2018
- 2019 (1) Apply 2019 filter
- 2020 (0)
- (-) Remove 2021 filter 2021
Research Topics
Populations
Types of Research
- Data Analysis (1) Apply Data Analysis filter
- Literature Review (1) Apply Literature Review filter
- Portfolio Review (0)
- (-) Remove Research Brief filter Research Brief
Geography
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- Global (1) Apply Global filter
- South Asia Region and Selected Countries (0)
- Southern Africa Region and Selected Countries (0)
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- (-) Remove West Africa Region and Selected Countries filter West Africa Region and Selected Countries
Dataset
- ASTI (0)
- FAOSTAT (0)
- Farmer First (0)
- LSMS & LSMS-ISA (2) Apply LSMS & LSMS-ISA filter
- Other Datasets (2) Apply Other Datasets filter
Current search
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- (-) Remove West Africa Region and Selected Countries filter West Africa Region and Selected Countries
- (-) Remove 2018 filter 2018
- (-) Remove Research Brief filter Research Brief
- (-) Remove 2021 filter 2021
Climate change is predicted to have increasingly dire effects on the largely rainfed agriculture of sub-Saharan agriculture, a livelihood that also contributes to climate change. Within this context, multilateral funding institutions are increasingly funding projects devoted to the adaptation to or mitigation of climate change. Data from the Organisation for Economic Development (OECD) provide an overview of climate-related project data, but the intersection of climate-related projects and projects intended to develop rural and agricultural economies is less explored. This paper focuses on climate-related projects in sub-Saharan Africa in the context of rural and agricultural project funding. We use a custom dataset from three separate multilaterals (the World Bank, African Development Bank, and International Fund for Agricultural Development) to answer the following research questions:
- What proportion of agriculture-related lending across the three multilaterals of interest has a climate component?
- Which countries are borrowing most for climate-related agricultural projects? Is the amount of borrowing correlated with a country’s climate risk?
Of all financing projects in our dataset (N = 1,846), we identified 203 as being climate-related (11%) and 505 as being related to rural agricultural economies (27%). Of the $26.5 billion annualized project funding, rural and agricultural financing accounts for $6.5 billion (24.6%) while climate projects receive $1.97 billion (7.4%). The World Bank funds approximately half of all agriculture projects in the dataset, with the AfDB funding just under 30% and IFAD just over 20%.
Annual average borrowing amounts from multilaterals for climate-related rural/agricultural economies projects varies widely across sub-Saharan Africa. The major borrowers include Ethiopia ($150 million), Nigeria ($105 million), and Kenya ($102 million). The proportion of multilateral borrowing for climate-related projects among all rural agricultural borrowing also varies substantially across sub-Saharan Africa; the Seychelles and Eswatini devote the largest proportions of rural agricultural borrowing toward climate work (100% and 69.8%, respectively). Fourteen SSA countries devote between 15% and 30% of rural agricultural borrowing to climate-related projects and fifteen have not received any multilateral financing for climate-related rural/agricultural economies projects.
We do not find a statistically significant relationship between a country’s Climate Risk Index and the proportion of annual rural/agricultural economies borrowing focused on climate.
Suggested Citation:
Financing for Climate Change in Africa: A View of Sovereign Borrowing in Agriculture from Multilateral Funding Institutions . EPAR Technical Report #411 (2022). Evans School of Public Policy & Governance, University of Washington. Retrieved <Day Month Year> from https://epar.evans.uw.edu/research
This document is an initial scoping of the theory and evidence linking digital services to women’s rural-to-urban migration. The document contains (1) a survey of the literature on digital financial services to discern how often this body of literature considers gender-disaggregated impacts on migration, (2) a detailed review of 13 hypotheses regarding the effects of digital services on women’s migration to cities, and (3) an illustrative overview of rural-urban migration patterns and digital technology usage in two East African countries (Ethiopia and Tanzania).
Precise agricultural statistics are necessary to track productivity and design sound agricultural policies. Yet, in settings where intercropping is prevalent, even crop yield can be challenging to measure. In a systematic survey of the literature on crop yield in low-income settings, we find that scholars specify how they estimate the yield denominator in under 10% of cases. Using household survey data from Tanzania, we consider four alternative methods of allocating land area on plots that contain multiple crops, and explore the implications of this measurement decision for analyses of maize and rice yield. We find that 64% of cultivated plots contain more than one crop, and average yield estimates vary with different methods of calculating area planted. This pattern is more pronounced for maize, which is more likely than rice to share a plot with other crops. The choice among area methods influences which of these two staple crops is found to be more calorie-productive per ha, as well as the extent to which fertilizer is expected to be profitable for maize production. Given that construction decisions can influence the results of analysis, we conclude that the literature would benefit from greater clarity regarding how yield is measured across studies.
In this brief, we report on measures of economic growth, poverty and agricultural activity in Ethiopia. For each category of measure, we first describe different measurement approaches and present available time series data on selected indicators. We then use data from the sources listed below to discuss associations within and between these categories between 1994 and 2017.