Educação e mercado de trabalho em Portugal: retornos e transições

http://www.poatfse.qren.pt/upload/docs/Diversos/ESTUDOS/Estudos%202014/Relatorio_final_U_Minho.pdf[Sumário Executivo] A adesão de Portugal à União Europeia em 1986 coincide com a apro- vação da estratégia para a concretização de um mercado interno no espaço europeu, coloca ndo desafios às economias dos países euro- peus e em particular à economia portuguesa, em matéria de produti- vidade e competitividade. O tradicional paradigma de competitividade assente em baixos salários é exposto a um nível de concorrência sem precedentes, revelando - se inadequado para fazer face a este novo con- texto de mercados integrados, caracterizados por uma livre circulação de bens, serviços e fatores produtivos. A capacidade de resposta do mercado de trabalho português é testada, assim como a qualidade da sua força de trabalho, do seu capital humano. Avaliar a qualidade do capital huma no implica, também, aferir o impacto do sistema educa- tivo na força de trabalho, quer ao nível do indivíduo, quer ao nível da sociedade. (excerto)Projecto: 000 598 402 012, POAT FSE – Programa Operacional de Assistência Técnica do Fundo Social Europeu, POATFSE: gerir, conhecer e intervir, QREN

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

Mammals in Portugal: a data set of terrestrial, volant, and marine mammal occurrences in Portugal

Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n =31,573) has the highest number of records followed by Chiroptera (n = 18,857), Carnivora (n = 18,594), Lagomorpha (n = 17,496), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n = 12,159], Monachus monachus [n = 1,512], and Lynx pardinus [n = 197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications

Educação e transições no mercado de trabalho : uma análise de sobrevivência usando dados nacionais

Dissertação de mestrado em EconomiaIn the recent past, there has been a generalized investment in education across several countries including Portugal; however the rising of educational driven by youths has been followed by an increase in unemployment rate, with especial incidence among youths. Using a duration analysis framework in continuous time and the Portuguese LFS from 1998 to 2009, we aim to evaluate the role of education in labour market. Namely, we want to access whether education prevents unemployment for those who have a job and whether if it helps unemployed finding a job. Our results show that more educated individuals, with a high school diploma or higher, have lower hazard of job loss. Among those who lost their job or are looking for their first job, we found evidence that college graduates have higher prospects of finding a job. Those results seem to suggest that employers prefer more skilled workers, in accordance with the idea that education increases the individual’s productivity.No passado recente, tem havido um aumento generalizado da educação em vários países, incluindo Portugal. Contudo o aumento do nível educacional da população fomentado pelos mais novos tem sido acompanhado por um aumento das taxas de desemprego, com maior incidência sobre os mais jovens. Usando modelos de duração em tempo contínuo com dados Portugueses do LFS de 1998 até 2009 tentamos avaliar o papel da educação no mercado de trabalho. Nomeadamente, avaliar se a educação previne o desemprego entre aqueles que estão a trabalhar e se ajuda os desempregados a encontrar emprego. Os nossos resultados mostram que os indivíduos com maior nível de educação, com ensino secundário ou superior, têm menor probabilidade de perder o emprego. Entre aqueles que não têm emprego ou estão à procura do primeiro emprego, encontramos evidência que o ensino superior aumenta a possibilidade de encontrar emprego. Estes resultados parecem sugerir uma maior preferência dos empregados por indivíduos com maior formação, em concordância com a ideia de que a educação aumenta a produtividade dos indivíduos