Monitoring progress toward women’s empowerment requires tools that reflect its underlying concepts. Cognitive interviewing is a qualitative approach for identifying sources of error in how respondents respond to survey items. This study identifies cognitive errors in survey modules included in the project level Women’s Empowerment in Agriculture Index for Market Inclusion (pro-WEAI+MI) in Benin and Malawi. Comprehension, retrieval, judgment, and response errors were all found to different degrees in the nine modules comprising the survey instrument. There are variations in findings by country context and, to a lesser extent, gender. The findings of this study informed revisions to the pro-WEAI+MI survey instrument and offer insights into how best to design survey modules used for monitoring progress toward gender equality in agricultural value chains and development efforts.

Many development agencies design and implement interventions that aim to reach, benefit, and empower rural women across the value chain in activities ranging from production, to processing, to marketing. Determining whether and how such interventions empower women, as well as the constraints faced by different value chain actors, requires quantitative and qualitative tools. We describe how we adapted the project-level Women’s Empowerment in Agricultural Index (pro-WEAI), a mixed-methods tool for studying empowerment in development projects, to include aspects of agency relevant for multiple types of value chain actors. The resulting pro-WEAI for market inclusion (pro-WEAI+MI) includes quantitative and qualitative instruments developed over the course of four studies. Studies in the Philippines (2017), Bangladesh (2017), and Malawi (2019) were intended to diagnose areas of disempowerment to inform programming, whereas the Benin (2019) study was an impact assessment of an agricultural training program. The pro-WEAI+MI includes all indicators included in pro-WEAI, plus a dashboard of complementary indicators and recommended qualitative instruments. These tools investigate the empowerment of women in different value chains and nodes and identify barriers to market access and inclusion that may restrict empowerment for different value chain actors. Our findings highlight three lessons. First, the sampling strategy needs to be designed to capture the key actors in a value chain. Second, the market inclusion indicators cannot stand alone; they must be interpreted alongside the core pro-WEAI indicators. Third, not all market inclusion indicators will be relevant for all value chains and contexts. Users should research the experiences of women and men in the target value chains in the context of the programto select priority market inclusion indicators.

One of the Sustainable Development Goals (SDGs) is reducing food loss and waste (FLW) across all stages of food value chains, including the on-farm production, the off-farm postharvest, processing, and distribution, and the household consumption stages. We employ general equilibrium models for Bangladesh, Kenya, and Nigeria to assess the economywide implications of reducing FLW at different stages of value chains. Halving FLW results in GDP increases of between 1.1 and 2 percent, with up to 13 million people lifted out of poverty across the three countries. Diets also improve – especially in Kenya and Nigeria – due to greater availability and lower prices of healthy foods such as fruits and vegetables. Although most of the gains originate from reducing FLW in the on-farm production stage, strong intersectoral linkages mean around 30 percent of measured GDP gains are realized in non-agricultural sectors. Reducing waste at the final consumption stage has small negative impacts on GDP as households purchase less food without reducing their food intake. We conclude that the significant economywide gains provide a justification for adopting FLW reduction strategies, although costing the policy and investment options needed to reduce FLW is an important area for future research.

The work provides general guidance about questionnaire design, development, and pre-testing sequence, with an emphasis on the cognitive interview.

The use of the cognitive interviewing method for survey question testing has proliferated and evolved over the past 30 years. In more recent years the method has been applied to the evaluation of information letters and leaflets and to research consent forms. This book provides a practical handbook for implementing cognitive interviewing methods in the context of applied social policy research, based on the approach used by the authors at the NatCen Social Research (NatCen) where cognitive interviewing methods have been used for well over a decade. The book provides a justification for the importance of question testing and evaluation and discusses the position of cognitive interviewing in relation to other questionnaire development and evaluation techniques. Throughout the book, the focus is on providing practical and hands-on guidance around elements such as sampling and recruitment, designing probes, interviewing skills, data management and analysis and how to interpret the findings and use them to improve survey questions and other documents. The book also covers cognitive interviewing in different survey modes, in cross national, cross cultural and multilingual settings and discusses some other potential uses of the method.

This book investigates the barriers to women’s economic empowerment in the Global South. Drawing on evidence from a wide range of countries, the book outlines important lessons and practical solutions for promoting gender equality. Despite global progress in closing gender gaps in education and health, women’s economic empowerment has lagged behind, with little evidence that economic growth promotes gender equality. International Development Research Centre’s (IDRC) Growth and Economic Opportunities for Women (GrOW) programme was set up to provide policy lessons, insights, and concrete solutions that could lead to advances in gender equality, particularly on the role of institutions and macroeconomic growth, barriers to labour market access for women, and the impact of women’s care responsibilities. This book showcases rigorous and multi-disciplinary research emerging from this ground-breaking programme, covering topics such as the school-to-work transition, child marriage, unpaid domestic work and childcare, labour market segregation, and the power of social and cultural norms that prevent women from fully participating in better paid sectors of the economy. With a range of rich case studies from Burkina Faso, Democratic Republic of the Congo, Ethiopia, Ghana, India, Kenya, Nepal, Rwanda, Sri Lanka, Tanzania, and Uganda, this book is perfect for students, researchers, practitioners, and policymakers working on women’s economic empowerment and gender equality in the Global South.

In this paper, the authors describe the adaptation and validation of a project-level WEAI (or pro-WEAI) that agricultural development projects can use to identify key areas of women’s (and men’s) disempowerment, design appropriate strategies to address identified deficiencies, and monitor project outcomes related to women’s empowerment. The 12 pro-WEAI indicators are mapped to three domains: intrinsic agency (power within), instrumental agency (power to), and collective agency (power with). A gender parity index compares the empowerment scores of men and women in the same household. The authors describe the development of pro-WEAI, including: (1) pro-WEAI’s distinctiveness from other versions of the WEAI; (2) the process of piloting pro-WEAI in 13 agricultural development projects during the Gender, Agriculture, and Assets Project, phase 2 (GAAP2); (3) analysis of quantitative data from the GAAP2 projects, including intrahousehold patterns of empowerment; and (4) a summary of the findings from the qualitative work exploring concepts of women’s empowerment in the project sites. The paper concludes with a discussion of lessons learned from pro-WEAI and possibilities for further development of empowerment metrics.