Large-scale land acquisitions aggravate the feminization of poverty : findings from a case study in Mozambique

The local implications of large-scale land acquisitions (LSLAs), commonly referred to as land grabs, are at the center of an exponential production of scientific literature that only seldom focuses on gender. Our case study aims to contribute to filling this analytical gap. Based on structured interviews and focus groups, we investigate local experiences in the lower Limpopo valley in Mozambique, where a Chinese investor was granted 20,000 hectares in 2012. Our findings show that land access in the affected area varied prior to land seizure due to historical land use differences and after land seizure mainly due to non-universal compensation. Furthermore, we show that as farming conditions deteriorate, a trend toward both the feminization of smallholder farming and the feminization of poverty is consolidated. Succinctly, as available land becomes increasingly constricted, labor is allocated differently to alternative activities. This process is by no means random or uniform among households, particularly in a context in which women prevail in farm activities and men prevail in off-farm work. As men disengage further from smallholder farming, women remain directly dependent on fields that are smaller and of worse quality or reliant on precarious day labor in the remaining farms. We contend that the categories female-headed and male-headed households, although not inviolable, are useful in explaining the different implications of LSLAs in areas in which gender strongly substantiates individuals’ livelihood alternatives. © 2018 The Author(s)Fieldwork for the study entitled “Large-scale land acquisitions aggravate the feminization of poverty: Findings from a case study in Mozambique” was funded by the Swedish Society for Anthropology and Geography, and the foundation Forskraftstiftelsen Theodor Adelswärds Minne.</p

A demand side management approach to increase self-consumption in buildings

There is a growing interest in increasing the presence of renewable energy in the electric network. Photovoltaic production from grid-connected systems is leading this growth in terms of households. Alongside this development, concern about network security has emerged, because excesses of intermittent renewable energy on the grid could exceed voltage limits. Self-consumption, understood as the capacity of the producer to consume his or her own production, can partially solve these problems. Thermostatic controllable loads, such as heating and cooling, represent 50% of the total amount of energy consumed by buildings; the proper allocation of these loads could be a driving force for self-consumption. In this study, a demand side management strategy is proposed based on a building energy model equipped with an inverter heat pump coupled with a photovoltaic plant. The goal is to maximize the use of local energy from the photovoltaic plant (self-consumption), reducing the export and import of energy to and from the grid. This goal is achieved by optimizing the set-points in each room. An array of optimal set-points over six years is presented. The results show the capacity of the methodology to match similar values of self-consumption (70% in winter and 50% in summer) obtained by strategies based on chemical batteries. The findings are shown in an energy matching chart at different levels of detail (yearly and monthly). Color bubbles are added to the matching chart to help visualize the unmatched energy of the system graphically. In comparison with actual model predictive control technologies, this study’s strategy offers great simplicity and a large saving in computational time