The Selection Process of Applications to the Portuguese Innovation Incentive System: Who Gets Financial Support?

Public policies to support entrepreneurship and innovation play a vital role when firms have difficulties in accessing external finance. However, some authors have found evidence of long-term inefficiency in subsidized firms (Bernini and Pelligrini, 2011; Cerqua and Pelligrini, 2014) and ineffectiveness of public funds (Jorge and Suárez, 2011). The aim of the paper is to assess the effectiveness in the selection process of applications to public financial support for stimulating innovation. Using a binary choice model, we investigate which factors influence the probability of obtaining public support for an innovative investment. The explanatory variables are connected to firm profile, the characteristics of the project and the macroeconomic environment. The analysis is based on the case study of the Portuguese Innovation.Incentive System (PIIS) and on the applications managed by the Alentejo Regional Operational Program in the period 2007 – 2013. The results show that the selection process is more focused on the expected impact of the project than on the firm’s past performance. Factors that influence the credit risk and the decision to grant a bank loan do not seem to influence the government evaluator regarding the funding of some projects. Past activities in R&D do not significantly affect the probability of having an application approved under the PIIS, whereas an increase in the number of patents and the number of skilled jobs are both relevant factors. Nevertheless, some evidence of firms’ short-term inefficiency was found, in that receiving public financial support is linked to a smaller increase in productivity compared to non-approved firm applications. At the macroeconomic level, periods with a higher cost of capital in financial markets are linked to a greater probability of getting an application for public support approved, which could be associated with the effectiveness of public support in correcting market failings.

Classi cation of new electricity customers based on surveys and smart metering data

This paper proposes a process for the classifi cation of new residential electricity customers. The current state of the art is extended by using a combination of smart metering and survey data and by using model-based feature selection for the classifi cation task. Firstly, the normalized representative consumption profi les of the population are derived through the clustering of data from households. Secondly, new customers are classifi ed using survey data and a limited amount of smart metering data. Thirdly, regression analysis and model-based feature selection results explain the importance of the variables and which are the drivers of diff erent consumption profi les, enabling the extraction of appropriate models. The results of a case study show that the use of survey data signi ficantly increases accuracy of the classifi cation task (up to 20%). Considering four consumption groups, more than half of the customers are correctly classifi ed with only one week of metering data, with more weeks the accuracy is signifi cantly improved. The use of model-based feature selection resulted in the use of a signifi cantly lower number of features allowing an easy interpretation of the derived models.

Trabalho temporário e qualidade dos serviços prestados: reflexão sobre a evolução recente na região de Setúbal

Os conceitos de qualidade e capital humano são amplamente conhecidos e a sua importância aceite por todos. A aplicação destes pressupostos à realidade do trabalho temporário, tomou-se um imperativo face ao contexto económico actual, repleto de rápidas mudanças organizacionais, caracterizado por colaboradores detentores de um novo leque de competências e flexibilidade profissional. Ao longo deste trabalho. procurou-se analisar a possível integração do trabalho temporário num novo modelo de relações laborais, na tentativa de distanciamento da corrente associação do trabalho temporário a uma "forma atípica de trabalho'', estabelecendo ainda uma breve evolução do trabalho temporário na Península de Setúbal. baseada na apreciação de trabalhos análogos. Em resultado da aplicação de questionário. definiu-se uma hierarquia de características individuais e organizacionais, como critério válido para um futuro processo de recrutamento e selecção, permitindo averiguar, ao nível do individuo, um aumento de competências profissionais e técnicas, acompanhado pelo incremento de formação e experiência profissional. Concluindo ao nível organizacional que qualidades como flexibilidade e dinamismo, aliado à experiência profissional, são factores críticos no processo de recrutamento e selecção, sendo imprescindíveis na procura contínua da qualidade, facilitando o alcance da excelência individual e organizacional. ABSTRACT: Quality and Human Capital are widely know concepts and their importance is accepted by all. Therefore, it has become imperative to make use of them in the contex t of temporary work given the current economic situation for they are present wherever organizational change happens rapidly and stakeholders possess a wide range of professional competencies and flexibility. The aim of this work is to study the possible integration of temporary work into a new model for labour relations, in an effort to distance temporay work from the notion of "atypical form of work" with which it is presently associated. Moreover, it presents a brief evolution of temporary work in the Peninsula of Setúbal, based on the analiysis of similar works. The findings obtained from our surveys ena bled us to define a hierarchy of individual and organizational characteristics which can serve as valid criteria in future recruitment and selection processes. With these processes it is al so possible to assess any increase of professional and technical competencies regarding the individual as well improvement as regards training and professional experience. At the organizational level, qualities such as nexibility and dynamism, together with professional experience, turned out to be critical factors in the recruitment and selection process. Not only are they indispensable in the constant pursuit of quality, but they also make it easy to achieve individual and organizational excellence.

Sim, eu consigo: Relação entre capital psicológico e procura de emprego

O trabalho apresentado nesta tese, tem como objetivo responder à questão de perceber se existe relação entre o capital psicológico positivo e a procura de emprego. Realizamos um estudo longitudinal que decorreu ao longo de cinco meses para encontrarmos possíveis respostas à questão levantada, em que aplicamos um questionário onde analisámos as diversas características psicológicas positivas que compõem o Capital Psicológico Positivo (auto-eficácia; otimismo; esperança e resiliência), o questionário foi aplicado a 82 indivíduos à procura de emprego, dos quais 20 foram admitidos. O que o nosso estudo concluiu foi que a auto-eficácia mediada pelo fator resiliência tem uma importância vital no processo de seleção, ou seja, os candidatos com maior perceção de auto-eficácia foram aqueles que foram admitidos. Estes resultados mostram que as organizações valorizam candidatos confiantes em si e nas suas capacidades, naquilo que sabem fazer. No final do estudo apresentamos algumas investigações futuras sobre este tema. ABSTRACT: The work reported in this thesis addresses the research question of how positive psychological capital related with job search. We developed a longitudinal study for five months to find possible answers to this question, we use a questionnaire in which we analyze the positive psychological components of positive psychological capital (self­efficacy, optimism, hope and resilience), this questionnaire was applied to 82 persons looking for a job, of this 20 were admitted. Our work shows that self-efficacy mediated by resilience has a vital importance in the selection process, this fact point that the candidates with a better perceived self-efficacy were the chosen. This results also points for the fact the organizations prefer candidates confidantes on themselves and on their capabilities, in what they know to do. At the end we present future investigations about this theme.

GA-ANN Short-Term Electricity Load Forecasting

This paper presents a methodology for short-term load forecasting based on genetic algorithm feature selection and artificial neural network modeling. A feed forward artificial neural network is used to model the 24-h ahead load based on past consumption, weather and stock index data. A genetic algorithm is used in order to find the best subset of variables for modeling. Three data sets of different geographical locations, encompassing areas of different dimensions with distinct load profiles are used in order to evaluate the methodology. The developed approach was found to generate models achieving a minimum mean average percentage error under 2 %. The feature selection algorithm was able to significantly reduce the number of used features and increase the accuracy of the models.

“Who Gets Public Support to Innovation? Evidence from the Portuguese Alentejo Region”

The aim of the study is to assess which factors influence the policymaking decisions to financially support an innovative investment project. Based on the case study of the Portuguese Innovation Incentive System in the Alentejo region, we estimated an econometric model based on firms’ and application’ characteristics, controlling for macroeconomic environment. The results indicate that the selection process is more focused on the expected project impact than on firms’ past performance. Furthermore, we found that government preference for promoting employment and exportation are shown to be higher than the impact on firm productivity.

Wild carrot differentiation in Europe and positive selection at DcAOX1 gene

By definition, the domestication process leads to an overall reduction of crop genetic diversity. This lead to the current search of genomic regions in wild crop relatives (CWR), an important task for modern carrot breeding. Nowadays massive sequencing possibilities can allow for discovery of novel genetic resources in wild populations, but this quest could be aided by the use of a surrogate gene (to first identify and prioritize novel wild populations for increased sequencing effort). Alternative oxidase (AOX) gene family seems to be linked to all kinds of abiotic and biotic stress reactions in various organisms and thus have the potential to be used in the identification of CWR hotspots of environment-adapted diversity. High variability of DcAOX1 was found in populations of wild carrot sampled across a West-European environmental gradient. Even though no direct relation was found with the analyzed climatic conditions or with physical distance, population differentiation exists and results mainly from the polymorphisms associated with DcAOX1 exon 1 and intron 1. The relatively high number of amino acid changes and the identification of several unusually variable positions (through a likelihood ratio test), suggests that DcAOX1 gene might be under positive selection. However, if positive selection is considered, it only acts on some specific populations (i.e. is in the form of adaptive differences in different population locations) given the observed high genetic diversity. We were able to identify two populations with higher levels of differentiation which are promising as hot spots of specific functional diversity.