Opportunities and pitfalls for researchers to contribute to the design of evidence-based agricultural policies: lessons from Uganda

Agricultural policies in sub-Saharan Africa have paid insufficient attention to sustainable intensification. In Uganda, agricultural productivity has stagnated with aggregate increases in crop production being attributed to expansion of cultivated land area. To enhance sustainable crop intensification, the Ugandan Government collaborated with stakeholders to develop agricultural policies using an evidence-based approach. Previously, evidence-based decision-making tended to focus on the evidence base rather than evidence and its interactions within the broader policy context. We identify opportunities and pitfalls to strengthen science engagement in agricultural policy design by analysing the types of evidence required, and how it was shared and used during policy development. Qualitative tools captured stakeholders' perspectives of agricultural policies and their status in the policy cycle. Subsequent multi-level studies identified crop growth constraints and quantified yield gaps which were used to compute the economic analyses of policy options that subsequently contributed to sub-national program planning. The study identified a need to generate relevant evidence within a short time 'window' to influence policy design, power influence by different stakeholders and quality of stakeholder interaction. Opportunities for evidence integration surfaced at random phases of policy development due to researchers’ ’embededness’ within co-management and coordination structures.     

The interplay of corporate entrepreneurship,environmental orientation,and performance in clean‐tech firms—A double‐edged sword

Clean‐tech innovations are an important driver in solving global issues such as climate change and for the sustainable development of economies around the world. Whereas a large part of the literature focuses on clean‐tech ventures, less is known on corporate entrepreneurship, that is, entrepreneurial behavior in established firms and its relation to sustainability. This paper extends the sustainable entrepreneurship debate to corporate entrepreneurship, which represents a fruitful avenue to further developing clean technologies. We focus particularly on clean‐tech firms' organizational preparedness for corporate entrepreneurship (OPCE), that is, how well a firm's structures and processes are set for entrepreneurial activities. On the basis of contingency theory, this study investigates how the level of OPCE influences the environmental and financial performance of clean‐tech firms and whether their environmental orientation affects these relationships. Building on data from 103 firms, we find support for a positive effect of OPCE on both environmental and financial performance. Both effects are stronger the higher the external environmental orientation. In contrast, the leverage of internal environmental orientation is not equally positive. Our study reveals that the effect of OPCE on financial performance diminishes for firms that are more strongly driven by an internal than an external environmental orientation.     

Autocatalytic Growth and Development and the South-North Convergence

Abstract:

This article engages with the issue of income convergence between North and South by using the autocatalytic hypothesis of growth and development. Two system models describe positive and negative feedback loops which govern economic flows between North and South. The analysis of endogenous and exogenous negative feedbacks points to the process that would slowly push the world economy towards vanishing growth rates and, eventually, halt its material growth. The present work rejects convergence in per capita GDP between North and South from the theoretical perspective. Such an outcome would stand against one of the fundamental properties of autocatalytic dynamics—centripetality— that has its causal roots in the competitive process and capitalist institutions. In that sense, the autocatalytic hypothesis provides a theoretical explanation for those empirical analyses that dismisses convergence.     

CLASSIFICATION PROBLEMS AND THE DIVIDING LINE BETWEEN GOVERNMENT AND THE MARKET: AN EXAMINATION OF NHS FOUNDATION TRUST CLASSIFICATION IN THE UK

ABSTRACT: In this paper we argue that national accounting categories provide an inadequate basis for evaluating differences between public and private sector services. This is because accounting categories rely on economic concepts such as market price but do not take account of substantive public policy goals such as universality. The argument has important consequences for the structures and systems of delivery especially where nonprofit providers and social enterprise models are substituted for public bodies formerly integrated into the government's delivery system. Using an example taken from the UK's National Health Service, we show that the mechanisms for ensuring universality through redistribution are not sufficiently taken into account for classification purposes.     

Tail risk in emerging markets of Southeastern Europe

This article examines the left-tail behaviour of returns on stocks in Southeastern Europe (SEE). We apply conditional extreme value theory (EVT) approach on daily returns of six stock market indices from SEE between 2004 and 2013. Predictive performance of value-at-risk (VaR) and expected shortfall (ES) based on EVT is compared against several alternatives, such as historical simulation and analytical approach based on GARCH with a single conditional distribution. Model backtesting with daily returns shows that EVT-based models provide more reliable VaR and ES forecasts than the alternative models in all six markets. Unlike the alternatives, the EVT-based models cannot be rejected as VaR confidence level is increased. This emphasizes the importance of extreme events in SEE markets and indicates that the ability of a model to capture volatility clustering accurately is not sufficient for a correct assessment of risk in these markets.     

Inflation in New EU Member States: A Domestically or Externally Driven Phenomenon?

This article empirically analyzes the domestic and external inflation determinants for eight non-eurozone new EU member states (NMS), using a structural vector autoregression model. Results indicate that foreign shocks are a major factor in explaining inflation dynamics in the medium run, while the short-run inflation dynamics are mainly influenced by domestic shocks. Moreover, the importance of the foreign inflation component has had a rising trend in the precrisis period in all NMS and mostly coincided with their accession to the EU. This trend ended with the onset of the global financial crisis. The study implicates the need to augment the classical Taylor rule with foreign factors in the case of small open economies.     

Context-Sensitive Access Control Model for Government Services

During the past two decades, e-government information systems have become less paper-based and more computer-based. Those information systems usually take the form of workflow systems. Due to the large social impact of e-government systems, computer security plays a pivotal role in ensuring its efficiency and effectiveness. Access control is one of the key aspects of computer security. Current access control models do not take into account the context of the system and its environment. In this article, we argue that a formal context-sensitive access control model can improve the development of e-government workflow systems and present a particular context-sensitive access control model. The subject of the article is a specification of the context-sensitive access control model for business processes (COBAC). By using a context-sensitive access control, it is possible to define more sophisticated access control policies that cannot be implemented by existing access control models. The COBAC's context is modeled using Web Ontology Language (OWL) in order to provide formal representation of context, rich representation of diverse contextual information, semantic interoperability between various context-aware systems, and a high degree of inference making. The presented model is applicable in different e-government systems, and supports the definition of access control policies for both simple and complex business processes. The model's prototype is verified by a case study on a real e-government business process—the national petty offense trial proceedings.