Macroeconomía y medio ambiente: El PIB como medida de bienestar

Este Trabajo de Fin de Grado estudia el uso del Producto Interior Bruto (PIB) como medida de bienestar. Al tiempo que se realiza el análisis de la contabilidad nacional y, en mayor profundidad del PIB, se detallan algunas medidas alternativas. Éstas han surgido como consecuencia de la búsqueda de indicadores que incluyan en sus mediciones, no solo el crecimiento económico, sino también otra serie de variables que son relevantes y que el PIB no contempla (como los recursos naturales, la contaminación, la calidad de vida o la igualdad en la distribución de la renta de un país, por ejemplo). Así, surgen nuevos indicadores como el PIB ambientalmente ajustado, el Índice de Mejor Vida, el Índice de Progreso Genuino o la Huella Ecológica, entre otros. Como resultado de este análisis se concluye que la medida que mejor refleja el bienestar depende del objetivo específico que se busque investigar. En otras palabras, hoy en día ninguna medida es capaz de contestar todas las preguntas relacionadas con el bienestar de la población. Sin embargo, el PIB no está configurado –ni fue creado- como una medida de bienestar de un país. Por lo tanto, actualmente es preciso acompañar la información de este indicador con la de otros alternativos de tal manera que podamos tener una imagen más completa sobre el nivel de bienestar de un país.

Model driven product line engineering : core asset and process implications

Reuse is at the heart of major improvements in productivity and quality in Software Engineering. Both Model Driven Engineering (MDE) and Software Product Line Engineering (SPLE) are software development paradigms that promote reuse. Specifically, they promote systematic reuse and a departure from craftsmanship towards an industrialization of the software development process. MDE and SPLE have established their benefits separately. Their combination, here called Model Driven Product Line Engineering (MDPLE), gathers together the advantages of both. Nevertheless, this blending requires MDE to be recasted in SPLE terms. This has implications on both the core assets and the software development process. The challenges are twofold: (i) models become central core assets from which products are obtained and (ii) the software development process needs to cater for the changes that SPLE and MDE introduce. This dissertation proposes a solution to the first challenge following a feature oriented approach, with an emphasis on reuse and early detection of inconsistencies. The second part is dedicated to assembly processes, a clear example of the complexity MDPLE introduces in software development processes. This work advocates for a new discipline inside the general software development process, i.e., the Assembly Plan Management, which raises the abstraction level and increases reuse in such processes. Different case studies illustrate the presented ideas.

Aspects of quality control of wind profiler measurements in complex topography

It is well known in the scientific community that some remote sensing instruments assume that sample volumes present homogeneous conditions within a defined meteorological profile. At complex topographic sites and under extreme meteorological conditions, this assumption may be fallible depending on the site, and it is more likely to fail in the lower layers of the atmosphere. This piece of work tests the homogeneity of the wind field over a boundary layer wind profiler radar located in complex terrain on the coast under different meteorological conditions. The results reveal the qualitative importance of being aware of deviations in this homogeneity assumption and evaluate its effect on the final product. Patterns of behavior in data have been identified in order to simplify the analysis of the complex signal registered. The quality information obtained from the homogeneity study under different meteorological conditions provides useful indicators for the best alternatives the system can offer to build wind profiles. Finally, the results are also to be considered in order to integrate them in a quality algorithm implemented at the product level.

Aspects of quality control of wind profiler measurements in complex topography

It is well known in the scientific community that some remote sensing instruments assume that sample volumes present homogeneous conditions within a defined meteorological profile. At complex topographic sites and under extreme meteorological conditions, this assumption may be fallible depending on the site, and it is more likely to fail in the lower layers of the atmosphere. This piece of work tests the homogeneity of the wind field over a boundary layer wind profiler radar located in complex terrain on the coast under different meteorological conditions. The results reveal the qualitative importance of being aware of deviations in this homogeneity assumption and evaluate its effect on the final product. Patterns of behavior in data have been identified in order to simplify the analysis of the complex signal registered. The quality information obtained from the homogeneity study under different meteorological conditions provides useful indicators for the best alternatives the system can offer to build wind profiles. Finally, the results are also to be considered in order to integrate them in a quality algorithm implemented at the product level.