Revisiting Kalundu Mound,Zambia: Implications for the Timing of Social and Subsistence Transitions in Iron Age Southern Africa

African Archaeological Review - Novel trajectories of food production, urbanism, and inter-regional trade fueled the emergence of numerous complex Iron Age polities in central and southern Africa....     

Rentier Statebuilding in a Post‐Conflict Economy: The Case of Kosovo

Kosovo has been under various forms of international administration since 1999. Although the political dimension of this international experience has been widely studied by scholars — especially those associated with the critical theory of liberal peacebuilding — the economic dimension of international rule has received less attention. This article explores the economic dimension by linking insights from rentier theory with critical approaches to liberal peacebuilding and statebuilding. The postulate informing this article is that the sources of a state's income have an impact on its institutional development. The article discusses liberal peacebuilding through the lens of rentier theory, it analyses the economic management in the early years of the international administration of Kosovo, and describes and explores some of the unintended consequences of this massive international presence in Kosovo for the local economy.     

Earliest Evidence for the Ivory Trade in Southern Africa: Isotopic and ZooMS Analysis of Seventh–Tenth Century <Emphasis Type="SmallCaps">ad</Emphasis> Ivory from KwaZulu-Natal

KwaGandaganda, Ndondondwane and Wosi were major Early Farming Community settlements in what is today the KwaZulu-Natal province of South Africa. These sites have yielded, among other remains, abundant evidence of ivory and ivory working dating to the seventh–tenth centuries ad, pre-dating by approximately 200 years the better-known ivory artefacts from sites in the Limpopo River Valley and surrounding regions. We report the results of carbon, nitrogen and strontium isotope analysis to explore the origins and procurement of this ivory, in combination with Zooarchaeology by Mass Spectrometry (ZooMS) to identify the species of animals from which it was derived. All of the ivory studied using ZooMS was elephant, despite the presence of hippopotamus remains on all three sites. Some ivory was probably obtained from elephant herds that lived close to the sites, in the densely wooded river valleys favoured by both elephants and early farmers. Other material came from savannah environments further afield. Ivory found at these three sites was drawn from different catchments, implying a degree of landscape/resource partitioning even at this early stage. These communities clearly invested substantial effort in obtaining ivory from across the region, which speaks to the importance of this commodity in the economy of the time. We suggest that some ivory items were for local use, but that some may have been intended for more distant markets via Indian Ocean trade.     

PANEL DATA MODELS WITH SPATIALLY DEPENDENT NESTED RANDOM EFFECTS

This paper focuses on panel data models combining spatial dependence with a nested (hierarchical) structure. We use a generalized moments estimator to estimate the spatial autoregressive parameter and the variance components of the disturbance process. A spatial counterpart of the Cochrane‐Orcutt transformation leads to a feasible generalized least squares procedure to estimate the regression parameters. Monte Carlo simulations show that our estimators perform well in terms of root mean square error compared to the maximum likelihood estimator. The approach is applied to English house price data for districts nested within counties.     

Complex Contagions and the Diffusion of Innovations: Evidence from a Small-N Study

The recent literature on “complex contagions” challenges Granovetter’s classic hypothesis on the strength of weak ties and argues that, when the actors’ choice requires reinforcement from several sources, it is the structure of strong ties that really matters to sustain rapid and wide diffusion. The paper contributes to this debate by reporting on a small-N study that relies on a unique combination of ethnographic data, social network analysis, and computational models. In particular, we investigate two rural populations of Indian and Kenyan potters who have to decide whether to adopt new, objectively more efficient and economically more attractive, technical/stylistic options. Qualitative field data show that religious sub-communities within the Indian and Kenyan populations exhibit markedly different diffusion rates and speed over the last thirty years. To account for these differences, we first analyze empirically observed kinship networks and advice networks, and, then, we recreate the actual aggregate diffusion curves through a series of empirically calibrated agent-based simulations. Combining the two methods, we show that, while single exposure through heterophilious weak ties were sufficient to initiate the diffusion process, large bridges made of strong ties can in fact lead to faster or slower diffusion depending on the type of signals circulating in the network. We conclude that, even in presence of “complex contagions,” dense local ties cannot be regarded as a sufficient condition for faster diffusion.     

Mental maps of global regions: identifying and characterizing “hard” and “soft” regions

ABSTRACT

This article presents the quantitative synthesis of mental maps that identify different types of world regions. It is the result of a large-scale survey conducted in 18 countries, based on a sketch map approach. The number, shape, and extension of these vernacular world regions vary according to countries, cultures, and the personal styles of respondents who drew the maps. However, when we collectively analyze the regions identified by respondents, we observe that the figures of global regions are more or less recurrent. While the most commonly used division of the world is into “continents”, we can identify “hard” and “soft” regions of the world. Whereas a “hard” region, such as Africa, can be recognized relatively unambiguously as a continent, “soft” regions may include numerous regional distinctions such as East Asia, Russia, South East Asia, and the Middle East. Our methodology involves defining a set of characteristics that discriminate between “hard” and “soft” regions (measuring spatial uncertainty and the relative vagueness of limits and fringes), then accounting for the correlation of these areas on the world map.