Structural change is a process in which the amount of labour, capital and land dedicated to agriculture (and other sectors) changes over time. In this study, we focus on the cases of Peru and Nicaragua using their two most recently administered agricultural censuses. The agricultural censuses permit us to identify dimensions and information available to study the process of structural change in Latin America over the last 20 years. The study includes a comparative analysis and policy recommendations based on the two most recent agricultural censuses administered in Nicaragua (2001 and 2011) and Peru (1994 and 2012). Processing and analysing information from these censuses contribute to identifying dimensions and information available to study the process of structural change in Latin America over the last 20 years. Evidence-based policymaking is increasingly more at the core of the United Nations and member countries’ activity. In the case of FAO, this type of study is crucial to build the knowledge body on which projects and activities are carried forward. The Hand-in-Hand (HiH) initiative is a key example in this context, as it aims at quantitatively identifying high-impact and high-agricultural potential areas in which to invest within developing countries. As Nicaragua and Peru are HiH’s target countries, this study will show very useful to learn about their recent experiences in agricultural transformations.

As in many parts of the developing world, the share of high value crops in agricultural gross domestic product (AgGDP) has increased substantially in Nepal. We contribute to the literature on trends in agricultural development in the poorest countries by answering the research question on “Does transition from traditional to high-value agriculture reduce rural poverty in poor developing countries”? We also identified the drivers leading to this transition. The study uses survey data from three rounds of the nationally representative Nepal Living Standard Surveys: NLSS I (1994/1995), NLSS II (2004/2005) and NLSS III (2010/2011). Multi-level model was used to study the determinants of agricultural diversification. To estimate the causal impact of agricultural diversification on welfare measures, propensity score matching and instrumental variable techniques were used. Results indicate that there has been a rightward shift in the distribution of the share (percent) of high-value crops between 1995 and 2004 and between 2004 and 2010, respectively. The area as well as the shared by major cereals (paddy, maize, and wheat) is declining over years. However, it is increasing for high-value crops (potato, vegetables, spices/condiments, and fruits). The percentage increase in share of the high-value crops was higher in or adjacent to urbanized districts between 1995 and 2010. The factors positively associated with the agricultural diversification are female-headed households, caste, mother's education, net-buyer status, urban region, remittance, farm size, kitchen garden, improved seeds, telephone and refrigerator. We found positive impact of agricultural diversification towards high-value crops on rural poverty and monthly per capita consumption expenditure. However, for cereal crops grower, we find the negative impact on poverty and monthly per capita consumption expenditure.