Rural households’ participation in charcoal production in Zambia: Does agricultural productivity play a role?

The study uses a nationally representative dataset of smallholder farmers in Zambia to determine the effect of agricultural productivity on households’ participation in charcoal production. An instrumental variable probit approach is applied to account for the endogeneity of agricultural productivity in household's charcoal participation decision. We find a negative and significant effect of agricultural productivity on household's likelihood of participation in charcoal production. Results also show that higher education, income, asset value, and participation in off-farm employment opportunities reduce the likelihood of participation in charcoal production. Therefore, interventions seeking to reduce charcoal production in rural Zambia could benefit from improving smallholder agricultural productivity, incomes, asset base, and off-farm employment creation. However, interventions need not lose sight of other important macro-level factors.     

Soil and water conservation technologies: a buffer against production risk in the face of climate change? Insights from the Nile basin in Ethiopia

This study investigates the impact of different soil and water conservation (SWC) technologies on the variance of crop production in Ethiopia to determine the risk implications of the different technologies in different regions and rainfall zones. Given the production risks posed by climate change, such information can be used by decision makers to identify appropriate agricultural practices that act as a buffer against climate change. Results show that SWC investments perform differently in different rainfall areas and regions of Ethiopia and that the effectiveness of technologies such as irrigation, fertilizer, and improved seeds often depends on whether these investments are coupled with SWC measures. These results underscore the importance of the selection of appropriate combinations of technologies and careful geographical targeting when promoting and scaling up SWC technologies for adaptation to climate change.     

What socioenvironmental impacts did 35 years of export agriculture have in Mexico? (1980–2014): A transnational agri‐food field analysis

In this article, I propose to study environmental degradation and the deterioration of the health of workers and other inhabitants in regions of Mexico where intensive fruit and vegetable production for export has been developed. My proposition is that to understand the unsustainability of such agricultural practices in all their complexity, it is necessary to analyse historically the total agri‐food field of relations established by producers, distributors, and consumers in codependency with the natural environment. This analysis of the agri‐food field allows a multidimensional and multiscale study to be conducted of the hierarchical distribution of power and of economic benefits among the different social actors of the food system. This analysis also allowed us to study the development of the capitalist regime without going into the dichotomy of centre and periphery and to propose that it is a decentralized process with a multiplicity of locations that operates on the basis of mutual associations and influences between human and non‐human elements, with the active participation of a great variety of independent, collective, and institutional actors who have differentiated motivations, ranges of power and scales of value. The case study of Mexican export agriculture was the result of long‐term research based on a wide review of regional studies, field work statistics, and archives in Mexico and the United States. This cross‐border study makes it possible to identify asymmetrical transnational relations in a context in which the Mexican government has renounced its territorial and agri‐food sovereignty and Mexican consumers face greater vulnerability.     

Protester or non‐protester: a binary state? On the use (and non‐use) of latent class models to analyse protesting in economic valuation*

In the analysis of stated preferences studies, it is often assumed that protesting is a discretely measured item only occurring among those who are not willing to pay. However, various studies have recently shown that protest beliefs are as well held by respondents who state a positive willingness to pay (WTP). Using latent class (LC) models, we investigate the extent of heterogeneity with respect to protest beliefs among all respondents of two contingent valuation studies. The advantage of LC models is that classes of individuals are endogenously identified and no selection bias is introduced by ad hoc definitions of protesters. Further we investigate whether it is possible to identify a class of non‐protesters. Finding a group of pure non‐protesters could indicate how strongly stated WTP in the whole sample is affected by protest beliefs. For both samples, we find a class with strong protest beliefs but no pure non‐protest class. Overall, our results suggest that LC models might not be the first choice to determine unbiased WTP measures, but they provide valuable insights into the degree of protesting expressed by different groups and corresponding determinants of group membership.     

A thing of the past? Household surveys in a rapidly evolving (agricultural) data landscape: Insights from the LSMS‐ISA

Household surveys, a pivotal component of every country's national statistical system, continue to be criticized and praised in equal manner. While recognizing their limitations, it is clear that certain types of data must continue to be collected through household surveys, preferably in an integrated manner with other data sources. This is particularly true in the agricultural space for which household and farm surveys will be critical both to collect primary data as well as to validate alternative data sources. Recent methodological gains and technological innovations offer a unique opportunity to address many of the shortcomings of agricultural data. In this article, we briefly describe select examples of such methodological and technological changes, drawing from the Living Standards Measurement Study‐Integrated Surveys on Agriculture, a survey program aimed at improving the availability, quality, and relevance of agricultural data in multitopic, multipurpose household surveys.