Evans School Policy Analysis & Research Group (EPAR)

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 provides a summary of findings from six Financial Inclusion Insights (FII) data analysis reports conducted by various agencies for the Bill & Melinda Gates Foundation (BMGF). These reports investigate barriers to financial inclusion and use of digital financial services (DFS) in Bangladesh, India, Kenya, Nigeria, Pakistan, Tanzania, and Uganda. We compile comparable gender-specific statistics, summarize the authors’ findings to determine commonalities and differences across countries, and highlight gender-specific conclusions and recommendations provided in the studies. 

The review consists of a summary of the emergence of agribusiness clusters, SEZs and incubators since 1965 (with a focus on smallholder agriculture-based economies in Latin America, Africa, and Asia), followed by a series of brief case studies of example programs with particular relevance for guiding proposed clusters/incubators in the countries of Ethiopia, Tanzania, Nigeria and the Eastern Indian states of Uttar Pradesh, Bihar, and Odisha. Summary conclusions draw upon published reports and primary analysis of case studies to highlight apparent determinants of success and failure in agribusiness investment clusters and incubators, including characteristics of the business environment (markets, policies) and characteristics of the organizational structure (clusters, accelerators) associated with positive smallholder outcomes.