Macro Intentions, Micro Realities

The current understanding of Regional Integration is largely macro-economic and political in orientation and has tended to neglect, even ex post, the significance of the Single European Market (SEM) for the spatial restructuring of individual firms. The problem stems largely from a lopsided understanding of Regional Integration. This paper introduces a two-level approach in which integration and its outcomes are studied based on the strategic intent and strategic realities of two types of key actors: governments and core companies. In this contribution it is argued that in advocating the SEM, these actors did not necessarily share the same strategic intent. A new firm-level data set shows also that the expectations of European policymakers did not accurately match actual strategies developed by European core companies

Developing an e-infrastructure for social science

We outline the aims and progress to date of the National Centre for e-Social Science e-Infrastructure project. We examine the challenges faced by the project, namely in ensuring outputs are appropriate to social scientists, managing the transition from research projects to service and embedding software and data within a wider infrastructural framework. We also provide pointers to related work where issues which have ramifications for this and similar initiatives are being addressed

Application of trusted computing to secure video broadcasts to mobile receivers

This paper addresses the problem of configuring mobile devices to receive broadcast services protected by legacy conditional access systems. The protocols apply the concepts of trusted computing to allow a mobile host to demonstrate that it is secure, before any application or associated keys are securely downloaded. Thus the protocols are applicable anywhere a secure download is required. A general analysis of the security of the protocols is presented, followed by the results of formal verification.

The Search for Synergy between Institutions and Multinationals: Institutional Uncertainty and Patterns of Internationalization

The debate on globalization has long been characterized by theses of institutional convergence and divergence. The emergence of Anglo-Saxon shareholder capitalism as the dominant paradigm since the start of the 1990s is associated with the pursuit of global strategies by Multinational Enterprises (MNEs) and the consolidation of a multilateral trade regime. Yet the link between actual MNE strategies and developments in the institutional arena remains an understudied phenomenon. Tensions between multiple levels of institution building – unilateralism, regionalism and multilateralism – create an environment of strategic uncertainty for MNEss. Consequently, MNEs’ actual international strategies reveal much about perceptions of the institutional environment in which they operate and allows for the documentation of more subtle paradigm shifts. The internationalization strategies pursued by MNEs from the Triad over the 1990s reveal that a multilateral strategic reality was anticipated by only an elite few, while the vast majority of firms operated in a unilaterally- or at best regionally-determined institutional environment. This contribution suggests that institutional restructuring is multifaceted and sometimes contradictory, casting a new and more subtle light on the globalization debate

Exploring Patterns of Upstream Internationalization: The Role of Home-region ‘Stickiness’

Recent work has emphasized the importance of regional strategies downstream, adding new depth to the debate on ‘globalization’. This paper adds to the debate by exploring the regional dimension upstream for a sample of Triad-based Fortune 500 firms. We find support for our hypothesis that MNEs with higher levels of value-added upstream are relatively constrained in their ability to shift that activity outside the home region due to its strategic significance to home-region stakeholders

Report of the user requirements and web based access for eResearch workshops

The User Requirements and Web Based Access for eResearch Workshop, organized jointly by NeSC and NCeSS, was held on 19 May 2006. The aim was to identify lessons learned from e-Science projects that would contribute to our capacity to make Grid infrastructures and tools usable and accessible for diverse user communities. Its focus was on providing an opportunity for a pragmatic discussion between e-Science end users and tool builders in order to understand usability challenges, technological options, community-specific content and needs, and methodologies for design and development. We invited members of six UK e-Science projects and one US project, trying as far as possible to pair a user and developer from each project in order to discuss their contrasting perspectives and experiences. Three breakout group sessions covered the topics of user-developer relations, commodification, and functionality. There was also extensive post-meeting discussion, summarized here. Additional information on the workshop, including the agenda, participant list, and talk slides, can be found online at http://www.nesc.ac.uk/esi/events/685/ Reference: NeSC report UKeS-2006-07 available from http://www.nesc.ac.uk/technical_papers/UKeS-2006-07.pd

Development of large scale inland flood scenarios for disaster response planning based on spatial/temporal conditional probability analysis

Extreme event scenarios are useful for civil emergency services to help in developing contingency plans for responding effectively to major flooding incidents. In the UK, the official national risk register includes a scenario for inland flooding (from rivers and other sources), which is described in terms of a probability of occurrence over a five year period of between 1 in 200 and 1 in 20. This scenario was previously based on recent extreme floods, in conjunction with maps produced to aid in development planning on floodplains. At the time it was constructed, it was not feasible to assess scientifically the combined probability of a nationally-significant flood event of this type, therefore the scenario probability assessment was ambiguous. Recent developments in multivariate extreme value statistics now allow the probability of large scale flood events to be assessed with reference to hydrological summary statistics or impact metrics. Building on theory and pilot studies by Heffernan and Tawn [1], Lamb et al. [2] and Keef et al. [3], we describe the development of a set of national-scale scenarios based on a high-dimensional (ca. 1,100 locations) conditional probability analysis of extreme river flows and rainfall. The methodology provides a theoretically justified basis for extrapolation into the joint tail of the distribution of these variables, which is then used to simulate extreme events with associated probabilities. The probabilistic events are compared with current understanding of meteorological scenarios associated with significant, large-scale flooding in the UK, and with historical flooding, in order to identify plausible events that can inform national risk scenarios. Additionally, we combined scenarios of inland and coastal extremes that have been considered by linking the analysis discussed in this paper with methods presented in a companion paper by Wyncoll et al

Monsoon drought over Java, Indonesia, during the past two centuries

Monsoon droughts, which often coincide with El Nino warm events, can have profound impacts on the populations of Southeast Asia. Improved understanding and prediction of such events can be aided by high-resolution proxy climate records, but these are scarce for the tropics. Here we reconstruct the boreal autumn (October-November) Palmer Drought Severity Index (PDSI) for Java, Indonesia (1787-1988). This reconstruction is based on nine ring-width chronologies derived from living teak trees growing on the islands of Java and Sulawesi, and one coral delta O-18 series from Lombok. The PDSI reconstruction correlates significantly with El Nino-Southern Oscillation (ENSO)-related sea surface temperatures and other historical and instrumental records of tropical climate, reflecting the strong coupling between the climate of Indonesia and the large scale tropical Indo-Pacific climate system.</p

The 30-year TAMSAT African rainfall climatology and time-series (TARCAT) dataset

African societies are dependent on rainfall for agricultural and other water-dependent activities, yet rainfall is extremely variable in both space and time and reoccurring water shocks, such as drought, can have considerable social and economic impacts. To help improve our knowledge of the rainfall climate, we have constructed a 30-year (1983–2012), temporally consistent rainfall dataset for Africa known as TARCAT (TAMSAT African Rainfall Climatology And Time-series) using archived Meteosat thermal infra-red (TIR) imagery, calibrated against rain gauge records collated from numerous African agencies. TARCAT has been produced at 10-day (dekad) scale at a spatial resolution of 0.0375°. An intercomparison of TARCAT from 1983 to 2010 with six long-term precipitation datasets indicates that TARCAT replicates the spatial and seasonal rainfall patterns and interannual variability well, with correlation coefficients of 0.85 and 0.70 with the Climate Research Unit (CRU) and Global Precipitation Climatology Centre (GPCC) gridded-gauge analyses respectively in the interannual variability of the Africa-wide mean monthly rainfall. The design of the algorithm for drought monitoring leads to TARCAT underestimating the Africa-wide mean annual rainfall on average by −0.37 mm day−1 (21%) compared to other datasets. As the TARCAT rainfall estimates are historically calibrated across large climatically homogeneous regions, the data can provide users with robust estimates of climate related risk, even in regions where gauge records are inconsistent in time