Abstract

AbstractHow does income uncertainty affect individual well‐being? Combining individual‐level panel data from rural Ethiopia with high‐resolution meteorological data, we estimate that mean‐preserving increases in rainfall variability are associated with reductions in objective consumption and subjective well‐being. Mediation analysis suggests that the estimated reduction in consumption does not fully explain the total effect on individual well‐being. Increased rainfall variability also has a large direct effect on individual well‐being.

From a theoretical perspective, the effect that remittances have on the labour decisions of those that receive them is ambiguous; the empirical evidence reported in the literature is mixed and shows, unsurprisingly, that the net effect of remittances on labour supply is context-dependent. We contribute to this literature by using a detailed data set for rural Mexico that allows us to understand how remittances reshape rural livelihoods by modifying labour allocation decisions. Following previous evidence, we analyse female and male responses separately.

While much attention has been given to the effects of migration and remittances on agricultural activities in the communities of origin, the relationship between remittances and rural households' use of natural resources remains understudied. This paper contributes in filling this gap by using a Mexican data set that contains detailed information on both remittances and use of natural resources at the household level.

The status of genetic resource conservation in centers of crop diversity remains disputed. Recent case-study findings of persistent maize diversity in Yaxcaba, Yucatan, a municipality in southeast Mexico, have raised questions on earlier reports of widespread losses across the crop’s center of diversity in Mexico. We break down patterns in maize varietal richness in southeast Mexico to show that temporal trends in Yaxcaba are subsumed under spatial variation in this broader region and consistent with an overall loss of diversity.

AbstractThis paper contributes to the literature by testing the effect of a household's relative position on its subjective well‐being. Our results show that both self‐perceived status and relative income have significant effects on the subjective well‐being of households located in the Peruvian Amazon. The paper also considers negative random shocks and shows that non‐agricultural shocks have a negative effect on subjective well‐being.

Global climate is changing rapidly, and it is not clear if agricultural producers in developing countries will be able to adapt fast enough in order to mitigate its negative effects. In order to be willing to take adaptation measures, farmers need to perceive that the climate is changing or could change, and they need to attribute enough weight to this perception to take action. During the last two decades, the literature that examines farmers’ perception of climate change has gained ground, but it is still scant.

The aim of the study was to analyze awareness and willingness to pay (WTP) for organic vegetables among households in Anambra State, Nigeria. Analysis of data was done using descriptive statistics such as frequency and percentages, and Contingent Valuation Method. One hundred and forty (140) respondents were utilized for the study but with a valid response rate of 85.7 percent to give one hundred and twenty (120) respondents sampled from the study area using multistage sampling procedure. Data used for the research was obtained with the aid of a well-structured questionnaire.

There is overwhelming evidence to suggest that climate shocks undermine food security and livelihood well-being of the climate-impacted Niger Delta region of Nigeria. Employing survey data collected from farming and fishing households in the Niger Delta region of Nigeria, the study investigated the range of adaptation practices prevalent in the region, as well as factors influencing the adoption of these adaptation strategies. Five hundred and three (503) households (252 fishing households and 251 farming households) were selected using multi-stage sampling techniques.