Local Perceptions and Vertical Perspectives of a Large Scale Land Acquisition Project in Northern Sierra Leone

Despite increased scientific interest in the phenomenon of large-scale land acquisitions (LSLA), accurate data on implementation processes remain sparse. This paper aims at filling this gap by providing empirical in-depth knowledge on the case of the Swiss-based Addax Bioenergy Ltd. in Sierra Leone. Extensive fieldwork allowed the interdisciplinary research team 1) the identification of different actors that are necessary for the implementation on a vertical level and 2) the documentation of the heterogeneous group of project affected people’s perceptions and strategies on a horizontal level. Findings reveal that even a project labeled as best-practice example by UN agencies triggers a number of problematic processes for affected communities. The loss of natural resources that comes along with the land lease and the lack of employment possibilities mostly affects already vulnerable groups. On the other hand, strategies and resistance of local people also affect the project implementation. This shows that the horizontal and vertical levels are not separate entities. They are linked by social networks, social interactions, and means of communication and both levels take part in shaping the project’s impacts.

Ethnography of a Land Grab and Gendered Coping Strategies in Northern Sierra Leone

Despite an increased scientific interest in the relatively new phenomenon of large-scale land acquisition (LSLA), data on the implementation of such projects and their impacts on the heterogeneous group of project-affected people are still sparse and superficial. Our ethnographic in-depth research on a Swiss-based bioenergy project in Sierra Leone generates well-documented data and provides insights into gendered access to land and wage employment. In the area where the project is located, customary land tenure applies. Thereby, women are structurally discriminated since they are not entitled to own land. However, user rights grant women and non-landowning men access to land and associated resources. Following the investing development banks’ guidelines, the company considered the local customary law when implementing its project. Nevertheless, the company only consulted and compensated landowners although women and non-landowning men could previously benefit from acquired land as well. Moreover, the company’s policy to enhance employment possibilities for women is barely implemented, and only few local women are hired. In order to cope with the transformed situation some women and non-landowning men continue to engage in subsistence farming on a reduced area of land. Others are involved in informal petty-trade or cooking food for the labourers whereby they subsidize the capitalist production of the company. In one village, women resisted additional land takes of the company. Acting within the framework of a specific power constellation on community level and simultaneously accommodating their claims within policy paradigms on transnational level, they were able to force a landowner to refuse leasing land to the company.

Contextualizing local-scale point sample data using global-scale spatial datasets: Lessons learnt from the analysis of large-scale land acquisitions

This paper examines how the geospatial accuracy of samples and sample size influence conclusions from geospatial analyses. It does so using the example of a study investigating the global phenomenon of large-scale land acquisitions and the socio-ecological characteristics of the areas they target. First, we analysed land deal datasets of varying geospatial accuracy and varying sizes and compared the results in terms of land cover, population density, and two indicators for agricultural potential: yield gap and availability of uncultivated land that is suitable for rainfed agriculture. We found that an increase in geospatial accuracy led to a substantial and greater change in conclusions about the land cover types targeted than an increase in sample size, suggesting that using a sample of higher geospatial accuracy does more to improve results than using a larger sample. The same finding emerged for population density, yield gap, and the availability of uncultivated land suitable for rainfed agriculture. Furthermore, the statistical median proved to be more consistent than the mean when comparing the descriptive statistics for datasets of different geospatial accuracy. Second, we analysed effects of geospatial accuracy on estimations regarding the potential for advancing agricultural development in target contexts. Our results show that the target contexts of the majority of land deals in our sample whose geolocation is known with a high level of accuracy contain smaller amounts of suitable, but uncultivated land than regional- and national-scale averages suggest. Consequently, the more target contexts vary within a country, the more detailed the spatial scale of analysis has to be in order to draw meaningful conclusions about the phenomena under investigation. We therefore advise against using national-scale statistics to approximate or characterize phenomena that have a local-scale impact, particularly if key indicators vary widely within a country.