Coping with coopetition—Facing dilemmas in cooperation for sustainable development: The case of the Dutch smart grid industry

This paper is amongst the first to examine coopetition strategy for sustainable development at the network level. Companies who want to successfully implement complex innovative technologies that support sustainable development need to collaborate with other actors of the innovation ecosystem, including their competitors, so that they can develop standards, interoperable products, pool knowledge, and resources and bundle forces to compete against other technologies. Collaboration with competitors brings benefits, but also many risks. We investigated how firms cope with these risks when establishing an innovation ecosystem to implement a new technology in society. We conducted research in the Dutch smart grids sector and explored how these firms minimize inherent risks of coopetition. We found that system‐building actors in the Dutch smart grid field not only minimize inherent risks, but from the start of their collaboration they implement so‐called enablers to prevent these risks upfront.     

Environmental reporting within the forest and paper industry

Research on environmental reporting within individual sectors and industries is limited. Generic studies have typically focused on the reporting practices of the world's largest corporates. Some industries and sectors are under‐represented within these studies, limiting the potential for industry‐ or sector‐specific analysis. Forest and paper is one industry frequently under‐represented. This study examines environmental reporting amongst the top 100 forest and paper companies. The scale of environmental report publication is investigated, and the breadth and depth of reporting on the key industry issues of forest management and fibre procurement examined. The results show reporting is more prevalent amongst larger corporates but marked regional variations are evident. Most noticeably, Scandinavian companies are reporting more extensively, both in terms of the number of levels at which they report and the depth of information included on forest management and fibre procurement. Reasons for the marked regional variations in reporting are considered and markets for forest products and preferences within those markets for specific certification schemes identified as potential influencing factors. Copyright © 2003 John Wiley & Sons, Ltd and ERP Environment.     

Dimensions of quality upgrading

The impact of the Central and Eastern European (CEE) economies’ trade integration with European markets on CEE trade structures has been studied extensively. These studies frequently observe a quality upgrading of CEE exports. In this paper we consider three dimensions of quality upgrading: upgrading across industries, upgrading across different quality segments within industries and, finally, product upgrading within quality segments inside industries. For the analysis we partition industries into quality segments based on EU‐15 import unit values. The results for ten CEE countries (comprising the CEE‐5, the Baltics and South East Europe) and thirteen industries suggest fundamental differences, both across country groups and across the three different notions of quality upgrading. The CEE‐5 show no evidence of entering a ‘low‐quality trap’ in all three dimensions. By contrast, while there is a general catching‐up process across industries and inside quality segments, the second notion of low‐quality specialization may be applicable within the high‐tech industries to the performance for the Baltics and South East Europe as a group.     

Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area

This paper tests the significance and the non-linearity of the Phillips trade-off in the aggregate Euro Area, in an unobserved components model of stochastic NAIRU and trend output featuring the Phillips equation and the Okun law as main identifying equations, with quarterly data for 1970:I-2002:III. The Phillips curve turns out to be linear and its trade-off statistically significant, while non-linearity shows up in the Okun relation. The results prove to be robust to alternative lag length structures of the model, and to alternative non-linear functional forms. The trend-cycle decompositions estimated with the model capture the main features of the Euro Area’s recent macroeconomic record.First version received: 1 September 2003 / Final version received: June 2004CEMPRE - Centro de Estudos Macroeconómicos e Previsão - is supported by the Fundação para a Ciência e a Tecnologia, Portugal, through the Programa Operacional Ciência, Tecnologia e Inovação (POCTI) of the Quadro Comunitário de Apoio III, which is financed by FEDER and Portuguese funds.We thank comments on earlier versions by Fabio Canova, Miguel St Aubyn, Alvaro Almeida, Pete Richardson, Kevin Ross, and two anonymous referees. We acknowledge James D. Hamilton’s help with the confidence bands. The usual disclaimer applies.     

Measuring financial risks with copulas

This paper is concerned with the statistical modeling of the dependence structure of multivariate financial data using the concept of copulas. We select some special copulas and identify the type of dependency captured by each one. We fit copulas to daily returns and simulate from the fitted models. We compare the effect of the choice of copula on risk measures and assess the variability of one-step-ahead predictions of portfolio losses. We analyze extreme scenarios and fit extreme value copulas to the block maxima and minima from daily returns. The stress scenarios constructed are compared to those obtained using models from the extreme value theory. We illustrate the usefulness of the copula approach using two stock market indexes.     

Fiscal Consolidation and Decentralisation: A Tale of Two Tiers*

This paper contributes to the established literature on fiscal consolidations by investigating the distinct behaviour of central and sub‐central tiers of government during general government consolidation attempts. In the light of different degrees of decentralisation across OECD countries, and the different responsibilities devolved to sub‐central tiers, we believe that this approach offers an illuminating insight into the analysis of fiscal consolidations and their success. We show that the involvement of the sub‐central tiers of government is crucial to achieving cuts in expenditure, particularly in relation to the overall size of the government wage bill. In addition, central governments appear to exert a strong influence on the expenditure of sub‐central tiers through their grant allocations, and control of these allocations appears to have a considerable impact upon the overall success of consolidation attempts. Finally, we demonstrate that there is a skewness in cuts towards sub‐central capital expenditure both when central governments cut grant allocations and when sub‐central governments engage in lone consolidation attempts.     

Der neue Standard zur bilanziellen Abbildung von Versicherungsverträgen (IFRS 17) – Eine kritische Analyse der Auswirkungen auf die Versicherungsbranche

The new standard for the accounting of insurance contracts (IFRS 17) will entail substantial changes for the insurance industry. In the following article the new standard is critically analyzed. First and foremost the coming valuation model, the so-called building block approach, is presented which will be the basis for all insurance contracts within the scope of IFRS 17. (For certain insurance contracts, especially those with direct participation features, or for less complex or short-term insurance contracts, there are some modifications.) To be more precise, IFRS 17 introduces an enterprise-specific valuation approach that is grounded on the so-called fulfilment value. This fulfilment value is determined by four separate building blocks (fulfilment-cashflow, discount rate, risk margin and contractual service margin), which will be addressed in detail. Finally, major changes in performed accounting practices that insurance enterprises are confronted with and will have to adapt to in their financial statements and accounts are pointed out.     

Digital Transformation Through Exploratory and Exploitative Internet of Things Innovations: The Impact of Family Management and Technological Diversification*

This study examines the impact of family management on digital transformation with specific regard to the firm’s development of Internet of Things (IoT) innovations. Drawing on the distinctive characteristics of firms with family managers, such as the focus on family‐centered noneconomic goals, long tenure, emotional ties to existing assets, and rigid mental models, it hypothesizes that increasing family involvement in the top management team is negatively related to the development of IoT innovations that are distant from a firm’s existing technology base (i.e., exploratory IoT innovations) compared to exploitative IoT innovations. Further, the study proposes that the firm’s degree of technological diversification, especially in unrelated forms, reinforces this relationship. The longitudinal analysis between 2002 and 2013 on a sample of publicly traded German firms allows us to test our hypotheses from the beginning of the emergence of the IoT concept. Our findings show that due to the particular characteristics of their managers, family‐managed firms do not welcome the risks related to exploratory IoT innovations, and the benefit of risk diversification from technological diversification is lower than the cost of abandoning family‐centered goals. As our results imply that the involvement of family managers constrains the development of exploratory IoT innovation, the top management team composition in firms that intend to be at the forefront of the digital transformation should be accurately designed by avoiding a high proportion of family members.     

The impact of temporary uses on property prices: the example of food trucks

Food trucks represent a temporary use of vacant or underutilised land. They have been assumed to increase the livability, vibrancy and attractiveness of a neighbourhood. However, no previous study has investigated whether this effect is reflected in property prices within the surrounding neighbourhood. We investigate the impact of a food truck pod on the values of single-family homes nearby. Using a quasi-experimental design, transaction data from Portland, Oregon and a difference-in-difference specification of a spatial regression model, we find that food trucks actually represent a negative externality, and that proximity of a home to food trucks is penalised by homebuyers. The closer a home is to the food trucks, the lower is the sales price. Explanations for this effect include increased parking shortages and trash issues in a neighbourhood due to food truck visitors.