More than Just the Final Straw: Stolen Elections as Revolutionary Triggers

Stolen elections are triggering events that overcome barriers to revolutionary action against electoral authoritarian regimes. They mobilize ordinary citizens, strengthen the opposition, and divide the regime. As neo-institutionalist theories of revolution suggest, the relative openness of electoral authoritarianism inhibits mass protest. But when elections are stolen, regimes undergo “closure,” increasing the probability of protest. The failure of other potential revolutionary precipitants underlines that stolen elections are not merely replaceable final straws. Stolen elections have not only been crucial for the emergence of revolutionary situations, they have shaped outcomes as well. Linking popular mobilization to fraudulent elections has become part of the repertoire of contention of democratic revolutionaries.

The Quest for CSR in Closedowns

This paper focuses on analysis of and suggestions for Corporate Social Responsibility (CSR) orienta- tion during the closedown process.The article addresses CSR considerations that adjust business strategies, which in turn change the Human Resource Management (HRM) focus. Our study fo- cuses on four best practice cases in Sweden, which are compared with three reported cases in the literature.All four best practice cases had a long notice period and socially responsible coordination of management and employees, which created adjusted corporate strategies.Three cases had the CSR orientation in the earliest stage, while the fourth case had this coordination during a later stage of the closedown process. We develop a model where we show that the scope for action increases if the CSR orientation and coordination of actions come early in the closedown process, due to the increased ability to adjust the business strategy and create a plan for outreach HRM activities and local community activities. 

Methodological issues in applying Location Models to Rural areas

Location Models are usedfor planning the location of multiple service centers in order to serve a geographicallydistributed population. A cornerstone of such models is the measure of distancebetween the service center and a set of demand points, viz, the location of thepopulation (customers, pupils, patients and so on). Theoretical as well asempirical evidence support the current practice of using the Euclidian distancein metropolitan areas. In this paper, we argue and provide empirical evidencethat such a measure is misleading once the Location Models are applied to ruralareas with heterogeneous transport networks. This paper stems from the problemof finding an optimal allocation of a pre-specified number of hospitals in alarge Swedish region with a low population density. We conclude that the Euclidianand the network distances based on a homogenous network (equal travel costs inthe whole network) give approximately the same optimums. However networkdistances calculated from a heterogeneous network (different travel costs indifferent parts of the network) give widely different optimums when the numberof hospitals increases.  In terms ofaccessibility we find that the recent closure of hospitals and the in-optimallocation of the remaining ones has increased the average travel distance by 75%for the population. Finally, aggregation the population misplaces the hospitalsby on average 10 km.