Year Published
- 2008 (0)
- 2009 (0)
- 2010 (0)
- 2011 (0)
- 2012 (1) Apply 2012 filter
- (-) Remove 2013 filter 2013
- 2014 (0)
- (-) Remove 2015 filter 2015
- 2016 (3) Apply 2016 filter
- 2017 (8) Apply 2017 filter
- 2018 (1) Apply 2018 filter
- (-) Remove 2019 filter 2019
- 2020 (0)
- 2021 (0)
Research Topics
Populations
- Countries/Governments (1) Apply Countries/Governments filter
- Rural Populations (0)
- Smallholder Farmers (1) Apply Smallholder Farmers filter
- Women (0)
Types of Research
- Data Analysis (1) Apply Data Analysis filter
- Literature Review (2) Apply Literature Review filter
- Portfolio Review (0)
- Research Brief (0)
Geography
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- (-) Remove Global filter Global
- South Asia Region and Selected Countries (2) Apply South Asia Region and Selected Countries filter
- Southern Africa Region and Selected Countries (0)
- Sub-Saharan Africa (3) Apply Sub-Saharan Africa filter
- West Africa Region and Selected Countries (0)
Dataset
- ASTI (0)
- FAOSTAT (0)
- Farmer First (0)
- LSMS & LSMS-ISA (0)
- Other Datasets (1) Apply Other Datasets filter
Current search
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- (-) Remove Global filter Global
- (-) Remove Health filter Health
- (-) Remove 2015 filter 2015
- (-) Remove Technology filter Technology
- (-) Remove 2013 filter 2013
- (-) Remove 2019 filter 2019
Studies of improved seed adoption in developing countries almost always draw from household surveys and are premised on the assumption that farmers are able to self-report their use of improved seed varieties. However, recent studies suggest that farmers’ reports of the seed varieties planted, or even whether seed is local or improved, are sometimes inconsistent with the results of DNA fingerprinting of farmers' crops. We use household survey data from Tanzania to test the alignment between farmer-reported and DNA-identified maize seed types planted in fields. In the sample, 70% of maize seed observations are correctly reported as local or improved, while 16% are type I errors (falsely reported as improved) and 14% are type II errors (falsely reported as local). Type I errors are more likely to have been sourced from other farmers, rather than formal channels. An analysis of input use, including seed, fertilizer, and labor allocations, reveals that farmers tend to treat improved maize differently, depending on whether they correctly perceive it as improved. This suggests that errors in farmers' seed type awareness may translate into suboptimal management practices. In econometric analysis, the measured yield benefit of improved seed use is smaller in magnitude with a DNA-derived categorization, as compared with farmer reports. The greatest yield benefit is with correctly identified improved seed. This indicates that investments in farmers' access to information, seed labeling, and seed system oversight are needed to complement investments in seed variety development.
We review the status and characteristics of 48 national identity programs and initiatives in 43 developing countries, and evaluate how these programs are being connected to—or used for—service provision. The identity programs we review are mainly government-issued national IDs. However, we also review other types of national identity programs with links to various services including voter cards, passports, and two programs targeting the poor and the banking population. Following a brief review of the roles of identity systems in development and recent identity system trends, we present an overview of the 48 national identity programs, including technical features (such as whether physical identities incorporate an electronic component or are embedded with biometric features), implementation status, population enrollment strategies, and coverage. We next review evidence of implementation challenges around accountability, privacy, data management, enrollment, coverage, cost, and harmonization of identity programs. Finally, we present the functional applications of national identity programs, reporting how these programs are linked with services in finance, health, agriculture, elections, and other areas, and analyzing whether particular identity program characteristics are associated with functional applications.
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).