In low-income food-deficit coastal countries, fish forms a critical source of animal protein. Yet, capture fisheries, which provide fish protein to the local populations, are typically overcapitalized and exhibit classical signs of biological overfishing, threatening the livelihoods of communities. With the high and increasing fishing pressure, the rate of stock depletion may continue to intensify, thereby tilting households’ preferences towards consumption of other types of animal protein depending on whether (or not) they have strong preferences for those types of protein.

Malnutrition continues to affect many vulnerable populations worldwide, with the majority of these residing in developing and underdeveloped countries. This problem has been exacerbated by the changing climate and more recently by the COVID-19 pandemic. Urgent efforts geared towards enhancing sustainable production and value chains of nutritious foods to ensure access to healthier diets are therefore critical.

AbstractThis study analyzes panel data from the Tanzania Living Standards Measurement Study‐Integrated Surveys on Agriculture by the World Bank to investigate the impact of nonfarm entrepreneurship as a nonfarm activity on the value of crop output and household welfare, and to explore the potential transmission channels among rural farm households. Using a dynamic panel model to address endogeneity, our results reveal that nonfarm entrepreneurship has a positive impact on the value of crop output and household welfare.

Climate-smart agriculture (CSA) is an important strategy for supporting farmers against climate change challenges. However, CSA adoption among smallholder farmers particularly in Sub-Saharan Africa (SSA) remains low. This article investigates the factors that influence CSA adoption among smallholder potato farmers in Nyandarua County, Kenya.

Agricultural commercialization has been promoted as a pathway for enhancing household welfare in developing countries. This paper assesses the extent and determinants of commercialization among smallholder potato farming households in Nyandarua County, Kenya. Data were collected through a survey of 388 potato-producing households and analysed using a crop commercialization index (calculated as a share of the value of produced potato that is marketed) and the Tobit regression model.

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