Two-dimensional Kolmogorov-type goodness-of-fit tests based on characterisations and their asymptotic efficiencies

In this paper, new two-dimensional goodness-of-fit tests are proposed. They are of supremum type and are based on two different types of characterisations. The first type are those that involve functional equations that the distribution function satisfies, while the second type uses independence of some statistics. The asymptotics of the statistics is studied and Bahadur efficiencies of the tests against some close alternatives are calculated. In the process, a theorem on large deviations of Kolmogorov-type statistics has been extended to the multidimensional case.     

The Quest for Government Accountability and Rule of Law: Conflicting Strategies of State and Civil Society in Cambodia and Serbia

This article deals with the social accountability activities of civil society organizations in Serbia and Cambodia. In both countries, they emerged with the conceptual and financial support of international development agencies; yet, the outputs were mediated by the social and political contexts. Still, these activities have some joint features: they (1) boost both understanding and awareness rather than solely mobilizing social interests; (2) target the interests of individual citizens rather than the interests of social-based groups or classes; (3) promote state cooperation instead of confrontation and (3) insist on the use of technical policy-related tools and mechanisms instead of political mobilization. The social accountability initiatives analyzed here have followed a policy-not-politics or depoliticized approach. As a consequence, they were ineffective in mobilizing citizens and social groups in a manner that would efficiently demand more accountability. On the other hand, governments contested civil society and appropriated its accountability discourses and strategies in an effort that can be read as an attempt to resist imposing government accountability and rule of law and pacifying present and future civic activism.     

The Effectiveness of Environmental Civil Society Organizations: An Integrated Analysis of Organizational Characteristics and Contextual Factors

A push to reverse unsustainable trends has come from environmental civil society, but its track record is somewhat inconsistent. Why are some environmental organizations able to enhance the environmental cause, while others fail to create a substantial impact in the move toward environmental sustainability? This paper considers related but disparate clusters of literature and identifies factors that have an impact on the effectiveness of civil society. It also addresses the ambiguity that is attached to civil society—a concept with considerable historical baggage and contextual differentiation. Given that each conceptualization of civil society has its own body of literature and that these do not necessarily speak to each other, we propose an analytical framework that integrates a variety of dimensions relevant to the analysis of environmental civil society organizations (CSOs): the degree of institutionalization, the mode of interaction with the state, sources of funding, the locus of mobilization, the choice of issue(s), and the degree of politicization. Using these organizational characteristics, our framework further integrates contextual factors, constructing a multidimensional space where there are opportunities and constraints for environmental CSOs. This framework allows us to examine diverse paths shaped by context-dependent strategic choices of environmental CSOs which may either limit or enhance their capacity to make an impact. These strategic choices are tracked by selecting entry points inspired by fieldwork conducted in Turkey—specifically, institutionalization, the choice of issue(s), and politicization.     

Cost‐Benefit Analysis for Optimization of Risk Protection Under Budget Constraints

Cost‐benefit analysis (CBA) is commonly applied as a tool for deciding on risk protection. With CBA, one can identify risk mitigation strategies that lead to an optimal tradeoff between the costs of the mitigation measures and the achieved risk reduction. In practical applications of CBA, the strategies are typically evaluated through efficiency indicators such as the benefit‐cost ratio (BCR) and the marginal cost (MC) criterion. In many of these applications, the BCR is not consistently defined, which, as we demonstrate in this article, can lead to the identification of suboptimal solutions. This is of particular relevance when the overall budget for risk reduction measures is limited and an optimal allocation of resources among different subsystems is necessary. We show that this problem can be formulated as a hierarchical decision problem, where the general rules and decisions on the available budget are made at a central level (e.g., central government agency, top management), whereas the decisions on the specific measures are made at the subsystem level (e.g., local communities, company division). It is shown that the MC criterion provides optimal solutions in such hierarchical optimization. Since most practical applications only include a discrete set of possible risk protection measures, the MC criterion is extended to this situation. The findings are illustrated through a hypothetical numerical example. This study was prepared as part of our work on the optimal management of natural hazard risks, but its conclusions also apply to other fields of risk management.     

Innovation Propensity in the EU Candidate Countries

Innovation activities in transition economies generally lag behind developed economies. This is also the case in the latest group of EU candidate countries whose innovation performance lags behind EU-27 average. In this paper we analyze the innovation propensity of firms in EU candidate countries (Croatia, FYR Macedonia, Montenegro and Turkey). The analysis relies on the Business Environment and Enterprise Performance Survey (BEEPS 2009) data. By employing probit model we have identified determinants of innovation propensity in analyzed countries. The results point to external factors such as the subsidies, customer pressure to innovate, obstacles from high tax burdens, political instability and inadequate education of workforce as significant positive predictors. Based on the results, few innovation policy recommendations are proposed.     

Do social workers avoid the dilemmas of work with clients?

This article is devoted to Lipsky's suggestion that the purpose of street-level policies is to establish and justify patterns of behaviour that enable street-level bureaucrats to avoid the dilemmas provoked by uncertain working conditions. Based on a review of relevant literature as well as on case studies in the culture of social work service organisations by the authors, the article suggests that two kinds of street-level policies are described by the research. The first one is consistent with the aforementioned idea by Lipsky and follows the wish of social service workers to avoid the dilemmas of their work with clients without trying to change those uncertain conditions that provoke these dilemmas. The actors of the second kind of street-level policy try to negotiate with relevant partners and to change uncertain working conditions that are at the roots of their dilemmas. Both kinds of street-level policy are described by means of empirical examples and their substantive features are summarised.