EU Cross-Border Cooperation and Conflict Transformation in the Basque and Irish Border Regions

Comparative research on violent conflict in the Basque Country and Ireland has yielded a sizable body of published academic work. Less well explored is the relationship between conflict transformation and cross-border cooperation in that specific comparative context. This paper provides a comparative examination of Third (not for profit) sector cross-border cooperation as conflict transformation in the Basque (France/Spain) and Irish (UK/Ireland) border regions. To what extent does cross-border cooperation contribute to peacebuilding in the two last violent ethnonationalist conflicts in Western Europe? The comparison is based on the premise that the EU played a different role in both cases. In the Irish case, the EU contributed to the institutionalization of a peace process that included cross-border cooperation between third sector organizations among the policy instruments contributing to conflict transformation. In the Basque case, the unilateral renunciation of violence by ETA (Euskadi eta Askatasuna) in 2010 did not generate the consistent involvement of the EU in a comparable institutional peace process. However, some third sector organizations used EU instruments for cross-border economic, social and cultural cooperation between France and Spain in order to reinforce their cross-border networks, which indirectly impacted on conflict transformation. The effectiveness of this cross-border cooperation for conflict transformation is assessed comparatively. To what extent does this increase in cross-border cooperation “from below” connect to wider institutional and social processes of conflict transformation in Ireland and the Basque Country? Crucially, does the strengthening of cross-border relations on shared issues mollify or sharpen existing identity cleavages? Also considered is the sustainability of such cooperation in these regions in light of the less favourable post-2004 EU funding environment, and the post-2008 economic and political turmoil affecting the relevant EU member states, especially Ireland and Spain.

Pensar a avaliação da formação : reformulação do dispositivo de avaliação da Renault Retail Group

Relatório de estágio de mestrado, Ciências da Educação (Formação de Adultos), Universidade de Lisboa, Instituto de Educação, 2013

The determinants of retail productivity: a critical review of the evidence

This paper discusses the literature on the established determinants of productivity in the retail sector. It also draws attention to some neglected strands of research which provide useful insights into strategies that could allow productivity enhancements in this area of the economy. To date, very few attempts have been made to integrate different specialisms in order to explain what drives productivity in retail. Here this paper rectifies this omission by putting together studies from economics, geography, knowledge management and employment studies. It is the authors' view that quantitative studies of retail productivity should focus on total factor productivity in retailing as the result of competition/composition effects, planning regulations, information and communications technology, the multinational operation element and workforce skills. Further, the fact that retail firms possess advantages that are transferable between locations suggests that investment in strategies enhancing the transfer of explicit and tacit knowledge between and within businesses are crucial to achieve productivity gains.

Significance of Biogenic Amines in Cold-Smoked Fish and Their Relation to Microbiological Characteristics of Products Available in Portuguese Retail Markets

Studies on microbial characterization of cold-smoked salmon and salmon trout during cold storage were performed on samples available in the Portuguese market. Samples were also classified microbiologically according to guidelines for ready-to-eat (RTE) products. Further investigations on sample variability and microbial abilities to produce tyramine and histamine were also performed. The coefficient of variation for viable counts of different groups of microorganisms of samples collected at retail market point was high in the first 2 wk of storage, mainly in the Enterobacteriaceae group and aerobic plate count (APC), suggesting that microbiological characteristics of samples were different in numbers, even within the same batch from the same producer. This variation seemed to be decreased when storage and temperature were controlled under lab conditions. The numbers of Enterobacteriaceae were influenced by storage temperature, as indicated by low microbial numbers in samples from controlled refrigeration. Lactic acid bacteria (LAB) and Enterobacteriaceae were predominant in commercial products, a significant percentage of which were tyramine and less histamine producers. These results might be influenced by (1) the technological processes in the early stages of production, (2) contamination during the smoking process, and (3) conditions and temperature fluctuations during cold storage at retail market point of sale.

Performance of state space and ARIMA models for consumer retail sales forecasting

Forecasting future sales is one of the most important issues that is beyond all strategic and planning decisions in effective operations of retail businesses. For profitable retail businesses, accurate demand forecasting is crucial in organizing and planning production, purchasing, transportation and labor force. Retail sales series belong to a special type of time series that typically contain trend and seasonal patterns, presenting challenges in developing effective forecasting models. This work compares the forecasting performance of state space models and ARIMA models. The forecasting performance is demonstrated through a case study of retail sales of five different categories of women footwear: Boots, Booties, Flats, Sandals and Shoes. On both methodologies the model with the minimum value of Akaike's Information Criteria for the in-sample period was selected from all admissible models for further evaluation in the out-of-sample. Both one-step and multiple-step forecasts were produced. The results show that when an automatic algorithm the overall out-of-sample forecasting performance of state space and ARIMA models evaluated via RMSE, MAE and MAPE is quite similar on both one-step and multi-step forecasts. We also conclude that state space and ARIMA produce coverage probabilities that are close to the nominal rates for both one-step and multi-step forecasts.