RESEARCH NETWORKS AS INFRASTRUCTURE FOR KNOWLEDGE DIFFUSION IN EUROPEAN REGIONS

This paper concentrates on the role of research network infrastructure in fostering the dissemination of innovation-related knowledge. It examines the structure of collaborative networks and of knowledge transfer between research, innovation and deployment activities in the field of information and communication technology for the European Union as a whole and for several European regions. Research networks complement diffusion networks by providing additional links and by increasing the number of the organisations involved in sharing and exchanging knowledge. Two types of actors are key players in these networks: hubs and gatekeepers. Hubs maintain the bulk of ties in the networks also helping the smaller and more isolated members remain connected. Gatekeepers bridge research and diffusion networks. Such organisations naturally offer greater policy leverage in establishing a European knowledge infrastructure. Moreover, strengthened inter-network connectivity among research and diffusion activities (deployment) would raise the effectiveness of European research in terms of accelerating innovation.     

Combining management plans and payment schemes for targeted grassland conservation within the Habitats Directive in Saxony,Eastern Germany

As central policies for biodiversity conservation in agricultural landscapes in the European Union (EU), the Habitats Directive and Agri-environmental programmes (AEP) have largely failed to halt biodiversity loss. In response, the German federal state of Saxony combined the instrument of management plans with AEPs to support the implementation of the Habitat Directive. In this study, we investigate the determinants of a farmers’ decisions to adjust their farming practices. Our data set consists of a quantitative survey with 131 farmers conducted between 2004 and 2011, complemented by implementation data from 333 grassland-plots. Determinants of farmers’ decisions to conserve grassland were estimated using a multinomial logit model. Our results show that a combination of management plans and AEPs can increase farmers’ disposition to adopt nature conservation measures. As central determinants, structural and location factors as well as the complementary provisiion of specifically designed AEPs increase farmers’ willingness to adopt conservation practices for grassland management. It can be concluded that additional costs are a major barrier to farmers’ adoption, particularly to those farms directing their farm management towards the optimisation of productivity and profitability . The findings highlight the complementary potential of integrated policy packages to incentivise specific measures of nature conservation within the framework of the Habitats Directive.     

It is merely a matter of time: A meta‐analysis of the causality between environmental performance and financial performance

Research on the relationship between corporate environmental performance (CEP) and financial performance (CFP) continuously receives high attention in both general media and academic publications. One central issue concerns the causal effects between the two constructs. Because existing primary literature is characterized by its heterogeneous study designs and mixed empirical evidence, the aim of this paper is to explicitly shed light on the causality effects between CEP and CFP by means of a meta‐analysis of 893 empirical estimates from 142 CEP–CFP studies. Our findings suggest that in the short run (1 year), financial resources can increase a firm's environmental performance as proposed by the slack resources hypothesis; however, the effects disappear in the long run (after more than 1 year). Conversely, increasing environmental performance has no short‐term effect on a corporate financial performance, whereas a firm significantly benefits in the long term, which is in accordance with the Porter hypothesis. Overall, our results show that the causality between environmental performance and financial performance depends on the time horizon.     

Data-driven robust mean-CVaR portfolio selection under distribution ambiguity

In this paper, we present a computationally tractable optimization method for a robust mean-CVaR portfolio selection model under the condition of distribution ambiguity. We develop an extension that allows the model to capture a zero net adjustment via a linear constraint in the mean return, which can be cast as a tractable conic programme. Also, we adopt a nonparametric bootstrap approach to calibrate the levels of ambiguity and show that the portfolio strategies are relatively immune to variations in input values. Finally, we show that the resulting robust portfolio is very well diversified and superior to its non-robust counterpart in terms of portfolio stability, expected returns and turnover. The results of numerical experiments with simulated and real market data shed light on the established behaviour of our distributionally robust optimization model.     

Us Debt and Deficits: Time to Reverse the Trend

This article provides a primer on budget deficits from the creation of the federal government. Today federal government spending is 24% of GDP (compared with its historical average of 8.8%), fuelling debt of historic levels. The only effective way to reduce debt levels is to cut entitlement programmes and then set a tax rate sufficient, over the course of the business cycle, to fund government spending.     

Acreage Response to Whole Farm Income Stabilisation Programmes

This article investigates whether Canadian whole farm programmes, which fall under the WTO category of Green Box subsidies, are truly production neutral. Theory suggests that with non‐constant risk aversion, risky decisions can be influenced by both the level of expected wealth (i.e. the wealth effect) and the variability of wealth (i.e. the insurance effect). Unlike previous approaches, this article is able to extend a framework developed by Chavas and Holt to formally incorporate the insurance effect into the acreage allocation decisions. By applying the theoretical model to acreage data in the Canadian Prairies, the results reveal that the whole farm income stabilisation programmes had large impacts on acreage choices through wealth and insurance effects. From a WTO perspective, the results underline the inherent difficulty in designing programmes that will reduce the risk faced by farmers without altering behaviour.     

Complex event processing in enterprise information systems based on RFID

Enterprises have to be increasingly agile and responsive to address the challenges posed by the fast moving market. With the software architecture evolving into service-oriented architecture (SOA), and the adoption of radio frequency identification (RFID), event processing can fit well in enterprise information systems in terms of facilitation of event aggregation into high level actionable information, and event response to improve the responsiveness. To make it more applicable, the architecture of event processing in enterprise information systems is proposed; event meta model and context serve as the solid basis for event processing; the rules, operators and keys of complex event processing are defined. Especially, workflow model is firstly used to extract complex event pattern. We have implemented the event processing mechanism in enterprise information systems based on RFID, including the architecture, data structures, optimization strategies and algorithm. The performance evaluations show that the method is effective in terms of scalability and the capability of event processing. Complex event processing can improve operational performance and discover more actionable information, which is justified by application. Finally, lessons learned from the application are presented.     

A meta‐analysis of the UTAUT model: Eleven years later

The unified theory of acceptance and use of technology (UTAUT) has been widely used to investigate factors influencing the adoption and use of information systems and technologies (IS/IT). However, studies using UTAUT are not conclusive in terms of statistical significance, direction, and magnitude. Through a meta‐analysis of empirical studies on UTAUT from 2003 to 2013, we determine how parsimonious, accurate, and robust UTAUT is at predicting acceptance and use of technology. A meta‐analysis of 74 publications reveals that performance expectancy, effort expectancy, and social influence explain IS/IT adoption, while behavioural intention is the most often measured dependent variable operationalized as a proxy for system use, supporting the strength of UTAUT as an explanatory model of IS/IT acceptance and use. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.