|
Key Messages Improvements in household electricity consumption resulting from efficiency improvements have the potential to reduce household electricity expenditure, and consequently the level of poverty among households. However, little is known about the extent to which improvement in electricity consumption efficiency can reduce poverty. Our study finds that: |
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.
Despite increased investments in the promotion of the adoption of sustainable land management technologies by developing countries, rural poverty remains prevalent. Thus, there is a need to measure the impact of sustainable land management technologies on poverty in order to provide relevant information necessary for devising appropriate poverty reduction strategies. This paper used the Endogenous Switching Regression method to estimate the effect of the adoption of sustainable land management technologies on poverty in Kenya.
Poverty remains one of the key development goals for developing countries. Achieving this goals may be far-fetched given the increasing vagaries from climate change. This paper sought to estimate the effect of climate and weather variability on chronic poverty using household panel data for Kenya. Using Chamberlain random effects probit model with control function, the paper found that weather variability reduces the likelihood of a household falling into chronic poverty.
Developing countries often design programs that bundle poverty reduction and environment goals. One such program is the Ethiopian food-for-work program in which participants get food or cash in return
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.
This paper analyzes a model of aid allocation equalizing the opportunity between recipient countries to reach a common poverty reduction goal. We propose a fair and efficient aid allocation based on a multicriteria principle. The model considers structural handicaps in recipient countries in terms of lack of human capital and economic vulnerability, their initial poverty, and the natural gap between the growth rate required to reach a development goal and the observed one. We show that our proposed aid allocation favors poor and vulnerable countries with our multicriteria principle.