State Formation and the Politics of Regime Survival: Zimbabwe in Theoretical Perspective

This article analyses state formation in Rhodesia/Zimbabwe. The main question posed is this: Why has state power eroded so dramatically? To answer this question, the development of the state is analysed in the light of general theories of state formation. In spite of a situation which according to prevailing theories was conducive for the formation of a strong state, Zimbabwe entered a downward spiral, where state power gradually eroded. To explain this, it is necessary to move beyond these theories, and analyse the changing nature of the ruling regime's constituencies. While security threats and sources of revenue are important, their impact on processes of state formation is mediated by the inter‐relationship between ruling regimes and their constituencies, which is shaped by society's class structure.     

Revisiting regional traditions: An emerging sociology of the great plains

Meliorism, empiricism, ethnography, locality, and reform characterized Midwestern American Sociology at the turn of the twentieth century. Almost a century later, the mini-regional Great Plains Sociological Association, through its refereed publication, The Great Plains Sociologist (TGPS), maintains a variant of this tradition. We examine the first decade (1988-1997) of published articles (N=52) in TGPS with a focus on authorship, affiliations, editorship, and components of the earliest Chicago sociology and its diffusion to the University of North Dakota and the region through the work of John Morris Gillette. The results show that TGPS is uniquely a publication representing empirical studies, of homespun social issues, involving local samples, by sociologists and criminologists affiliated with a range of colleges and universities in and around the Dakotas and that a sociology of the Great Plains is emerging. Implications for the journal, state and mini-regional associations, and the discipline are discussed. Morten G. Ender research areas are social psychology, military sociology, and undergraduate education. Shihluang Huang research areas are drug laws/policies, systems analysis, corrections, and community corrections. Both authors served on the faculty at the University of North Dakota where this project was completed.     

Finite Sample Comparison of Parametric, Semiparametric, and Wavelet Estimators of Fractional Integration

In this paper we compare through Monte Carlo simulations the finite sample properties of estimators of the fractional differencing parameter, d. This involves frequency domain, time domain, and wavelet based approaches, and we consider both parametric and semiparametric estimation methods. The estimators are briefly introduced and compared, and the criteria adopted for measuring finite sample performance are bias and root mean squared error. Most importantly, the simulations reveal that (1) the frequency domain maximum likelihood procedure is superior to the time domain parametric methods, (2) all the estimators are fairly robust to conditionally heteroscedastic errors, (3) the local polynomial Whittle and bias-reduced log-periodogram regression estimators are shown to be more robust to short-run dynamics than other semiparametric (frequency domain and wavelet) estimators and in some cases even outperform the time domain parametric methods, and (4) without sufficient trimming of scales the wavelet-based estimators are heavily biased.     

Social capital and women's reduced vulnerability to HIV infection in rural Zimbabwe

Social capital—especially through its “network” dimension (high levels of participation in local community groups)—is thought to be an important determinant of health in many contexts. We investigate its effect on HIV prevention, using prospective data from a general population cohort in eastern Zimbabwe spanning a period of extensive behavior change (1998–2003). Almost half of the initially uninfected women interviewed were members of at least one community group. In an analysis of 88 communities, individuals with higher levels of community group participation had lower incidence of new HIV infections and more of them had adopted safer behaviors, although these effects were largely accounted for by differences in socio-demographic composition. Individual women in community groups had lower HIV incidence and more extensive behavior change, even after controlling for confounding factors. Community group membership was not associated with lower HIV incidence in men, possibly refecting a propensity among men to participate in groups that allow them to develop and demonstrate their masculine identities—often at the expense of their health. Support for women's community groups could be an effective HIV prevention strategy in countries with large-scale HIV epidemics.     

Humility: Our Current Understanding of the Construct and its Role in Organizations

Since 2000, researchers and practitioners have shown increased interest in humility. This construct has been studied in disciplines ranging from organizational behaviour to positive psychology, culminating in a wealth of information that can now be analysed and reviewed through the lens of humility in organizations. This review begins by reflecting on existing conceptualizations of humility and presenting a summary of findings that reflects a greater consensus in definitional work than some researchers may realize. It then considers the progress that has been made in measuring humility by specifying key measurement strategies. It next synthesizes existing empirical findings on humility to illuminate the uniqueness of the construct. It also shows that researchers have focused on studying dependent variables that exist at multiple organizational levels and that largely comprise pro‐social and relational variables, emotional well‐being, and learning and performance outcomes. The paper concludes with recommendations for future research.     

Spatial configurations of urban forest in different landscape and socio-political contexts: identifying patterns for green infrastructure planning

Rapid urbanisation and climate change have motivated the development of urban green infrastructure (UGI) as a planning strategy to support the wellbeing of urban people and ecosystems while parallel adapting cities to climate change. Forest (tree-covered areas >0.5 ha) is a key UGI component that afford a wider range of ecosystem services and mitigate urban heat islands more effectively than non-wooded green spaces. However, understanding of spatial configurations (variation in patch size and frequency) of forests across the gradient of urbanisation and between cities is limited to case studies. This represents a considerable knowledge gap for identification of general patterns that can inform integration of forest resources in UGI planning that have value beyond the individual city level. In this study we used Geographic Information Systems to explore the spatial configuration of forests across cities located within landscapes characterised by different levels of anthropogenic modification (degree of forest cover) and socio-political contexts, i.e. all Danish and Swedish cities >10,000 inhabitants (n = 176). We applied general linear modelling to investigate the relationship between forest cover, patch size and frequency with 1) regional landscape type, 2) demographic trends 1960–2010, and 3) the gradient of urbanisation (measured in three zones: urban core (0.2 km from city boundary), urban fringe (0.2–2 km), and urban periphery (2–5 km)). Regardless of demographic trends, forest cover was lowest in cities settled in large-scale agricultural regions, higher in regions with mosaics of forest and farming, and highest in forest-dominated regions. However, in all cities forest cover was lowest in the urban zone and peaked on the urban fringe rather than on the urban periphery. Furthermore, pocket woods (0.5–2 ha) accounted for over 50 % of patches in all three urban zones, irrespective of regional landscape type. We conclude by discussing how these general patterns could inform strategies for integration of urban forests in UGI planning.     

Wellbeing in China

Partial order methodologies appear as advantageous tools to disclose evaluative trends and developments for time series as, e.g., the fragile states index (FSI). The present study focuses on the variations in the 12 individual indicators of the FSI over the years 2011–2015. The FSI includes in total 178 states and the present study analyzes both the full set of states and a subset comprising only the 28 European Union states. Clear trends are observed. Thus, on a global scale the primary importance of brain drain apparently is turned into group grievance whereas on the European scale the development discloses the increased problems associated with the increasing number of refugees and migrants as well as the declining economic situation in some states. Further the study discloses a series of so-called peculiar states, i.e., states where single indicators values are markedly higher or lower than expected when comparing to the “main stream” of indicator values for the states studied. In all cases the findings were substantiated and verified by available literature.     

Estimation bias and bias correction in reduced rank autoregressions

This paper characterizes the finite-sample bias of the maximum likelihood estimator (MLE) in a reduced rank vector autoregression and suggests two simulation-based bias corrections. One is a simple bootstrap implementation that approximates the bias at the MLE. The other is an iterative root-finding algorithm implemented using stochastic approximation methods. Both algorithms are shown to be improvements over the MLE, measured in terms of mean square error and mean absolute deviation. An illustration to US macroeconomic time series is given.