Analysis of Regional Innovation Performance in Portugal - Results from an External Logistic Biplot Method

Portuguese strategic choices regarding innovation and R&D policy have, over the past two decades, produced various positive achievements, in which the regions of Lisbon and Algarve have taken the lead, and are the only ones in the country to converge towards the European average growth rate. Regarding the other Portuguese regions – despite significant national growth rates in the 1990s as well as a successful attempt to cope with the EMU –, these are lagging behind the EU average with respect to gross production, investment or employment generation. Meanwhile, one of the greatest public policy efforts was to diffuse much of the European funds across the entrepreneurial sector. After a long pathway, it is now timely to evaluate the firms‟ contribution to national and regional growth, their obstacles and impacts. For the purpose of this paper, innovation is used here as a major contributor to the policy evaluation process referred to above. Our investigation aims to explain the present performance of Portuguese firms located throughout the country and to explore those innovation determinants that have a region-specific connotation. To provide a thorough investigation, our analysis defines, on a regional basis, a set of firms‟ behavioural patterns regarding innovation. In our modelling, we employ a new methodology, viz. the External Logistic Biplot method, which is applied to an extensive sample of innovative institutions in Portugal. Variables such as „Promoting knowledge‟, „Management skills‟, „Promoting R&D‟, „Knowledge transfer‟, „Promoting partnership & cooperation‟, and „Orientation of public measures‟ have been identified as crucial determinants in earlier studies and are now used to describe regional institutional profiles. Such profiles exhibit a great variety in the way they combine these determinants to promote regional innovation. The creation of a gradient of capacity to dynamically innovate associated with each firm makes it possible to analyse the innovation gradient of each region in Portugal. Our paper presents and systematically investigates these findings and then reaches some policy conclusions.PTDC/CS-GEO/102961/200

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge, it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Innovative firms behind the regions: Analysis of regional innovation performance in Portugal by external logistic biplots

The strategic choices regarding innovation and research and development (R&D) policy in Portugal have, over the past two decades, produced various positive benefits, in which the regions of Lisbon and Algarve, in particular, have taken the lead. These are the only regions in Portugal which converge towards the European average growth rate with respect to gross production, investment and employment creation. It is now timely to evaluate firms’ contributions to national and regional growth, their obstacles, and impacts. After a conceptualization of innovation policy in Portugal, the present paper treats innovation as a major criterion for the policy evaluation process referred to above. Our empirical investigation aims to explain the innovation performance of Portuguese firms throughout the country, and to explore those determinants of innovation which are region-specific. Therefore, the analysis addresses a set of firms’ achievement patterns, by focusing on ways in which institutions interact in the process of innovation at the regional level. In our modelling study, we employ a new methodology, viz. the external logistic biplot method, which is applied to an extensive sample of innovative institutions in Portugal. Variables identified as crucial determinants in earlier studies are used to describe regional institutional profiles. Such profiles exhibit a great variety of ways in which these determinants are able to promote regional innovation. The creation of a Gradient of Capacity to Dynamically Innovate associated with each firm enables an analysis of the innovation gradient of each region in Portugal. Our paper presents and investigates these findings, and offers some policy lessons