Year Published
- (-) Remove 2008 filter 2008
- 2009 (1) Apply 2009 filter
- (-) Remove 2010 filter 2010
- 2011 (0)
- 2012 (3) Apply 2012 filter
- (-) Remove 2013 filter 2013
- 2014 (1) Apply 2014 filter
- 2015 (0)
- (-) Remove 2016 filter 2016
- 2017 (2) Apply 2017 filter
- 2018 (1) Apply 2018 filter
- 2019 (1) Apply 2019 filter
- 2020 (1) Apply 2020 filter
- 2021 (0)
Research Topics
Populations
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (0)
- Women (0)
Types of Research
- Data Analysis (5) Apply Data Analysis filter
- (-) Remove Literature Review filter Literature Review
- (-) Remove Portfolio Review filter Portfolio Review
- Research Brief (0)
Geography
- East Africa Region and Selected Countries (0)
- Global (1) Apply Global filter
- South Asia Region and Selected Countries (1) Apply South Asia Region and Selected Countries filter
- Southern Africa Region and Selected Countries (0)
- Sub-Saharan Africa (2) Apply Sub-Saharan Africa filter
- West Africa Region and Selected Countries (0)
Dataset
- (-) Remove ASTI filter ASTI
- FAOSTAT (4) Apply FAOSTAT filter
- Farmer First (0)
- (-) Remove LSMS & LSMS-ISA filter LSMS & LSMS-ISA
- (-) Remove Other Datasets filter Other Datasets
Current search
- (-) Remove 2010 filter 2010
- (-) Remove ASTI filter ASTI
- (-) Remove Gender filter Gender
- (-) Remove Food Security & Nutrition filter Food Security & Nutrition
- (-) Remove Risk, Preferences, & Decision-Making filter Risk, Preferences, & Decision-Making
- (-) Remove Portfolio Review filter Portfolio Review
- (-) Remove Market & Value Chain Analysis filter Market & Value Chain Analysis
- (-) Remove LSMS & LSMS-ISA filter LSMS & LSMS-ISA
- (-) Remove Household Well-Being & Equity filter Household Well-Being & Equity
- (-) Remove Other Datasets filter Other Datasets
- (-) Remove 2013 filter 2013
- (-) Remove Finance & Investment filter Finance & Investment
- (-) Remove 2016 filter 2016
- (-) Remove Health filter Health
- (-) Remove 2008 filter 2008
- (-) Remove Literature Review filter Literature Review
This research considers how public good characteristics of different types of research and development (R&D) and the motivations of different providers of R&D funding affect the relative advantages of alternative funding sources. We summarize the public good characteristics of R&D for agriculture in general and for commodity and subsistence crops in particular, as well as R&D for health in general and for neglected diseases in particular, with a focus on Sub-Saharan Africa and South Asia. Finally, we present rationales for which funders are predicted to fund which R&D types based on these funder and R&D characteristics. We then compile available statistics on funding for agricultural and health R&D from private, public and philanthropic sources, and compare trends in funding from these sources against expectations. We find private agricultural R&D spending focuses on commodity crops (as expected). However contrary to expectations we find public and philanthropic spending also goes largely towards these same crops rather than staples not targeted by private funds. For health R&D private funders similarly concentrate on diseases with higher potential financial returns. However unlike in agricultural R&D, in health R&D we observe some specialization across funders – especially for neglected diseases R&D - consistent with funders’ expected relative advantages.
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 analyzes the indicators used by the World Bank in its Project Appraisal Documents (PAD) to measure the outputs and outcomes of 44 Water, Sanitation and Hygiene projects in Africa and Asia from 2000-2010. This report details the methods used to collect and organize the indicators, and provides a brief analysis of the type of indicators used and their evolution over time. A searchable spreadsheet of the indicators used in this analysis accompanies this summary. We find that some patterns emerge over time, though none are very drastic. The most common group of indicators used by the World Bank are “management” oriented indicators (28% of indicators). Management indicators are disproportionately used in African projects as compared to projects in Asia. Several projects in Africa incorporate indicators relating to legal/regulatory/policy outcomes, while projects in Asia do not. In recent years, the World Bank has used fewer indicators that measure service delivery, health, and education and awareness.