La gestión del marketing estratégico en la pequeña empresa familiar

[ES] Este trabajo, que se circunscribe en el ámbito de la pequeña empresa familiar, tiene como principal objetivo analizar la importancia que dichas empresas conceden a las diferentes dimensiones de la gestión estratégica del marketing en función de una serie de características demográficas y de evolución generacional. Con este fin, se ha realizado un estudio de naturaleza cuantitativa a través de encuestas personales dirigidas tanto a predecesores como a sucesores de una muestra de empresas familiares.

Dinámica de las Redes Virtuales de Fabricación Global en la Industria Aeronáutica

[ES] Las redes virtuales de fabricación global (RVFGs) están formadas por empresas independientes las cuales establecen entre sí relaciones de tipo horizontal y vertical, pudiendo incluso ser competidores, donde no es necesario mantener internamente grandes recursos fabriles sino gestionar y compartir eficientemente los recursos de la red.

Actitudes lingüísticas de las personas inmigrantes hacia el euskera

[es] El objetivo de este Trabajo de Fin de Grado es identificar las actitudes y prejuicios lingüísticos hacia el euskera de las personas inmigrantes residentes en Vizcaya. Por ello, se ha realizado una investigación cuantitativa con una muestra de 180 personas de entre 18 y 60 años. De este modo, se ha podido reflexionar sobre los resultados obtenidos para potenciar la presencia del euskera en la sociedad y al mismo tiempo, acercar este colectivo a dicha lengua. Teniendo en cuenta los resultados obtenidos en el estudio cuantitativo y analizando las actitudes, disposición, motivaciones, prejuicios y razones por las que las personas inmigrantes no aprenden euskera se ha creado la página web “Bai Es Guay” con el propósito de facilitar el aprendizaje de este idioma a este colectivo.

Cost effectiveness of a combination of instruments for global warming: a quantitative approach for Spain

Climate change is an important environmental problem and one whose economic implications are many and varied. This paper starts with the presumption that mitigation of greenhouse gases is a necessary policy that has to be designed in a cost effective way. It is well known that market instruments are the best option for cost effectiveness. But the discussion regarding which of the various market instruments should be used, how they may interact and what combinations of policies should be implemented is still open and very lively. In this paper we propose a combination of instruments: the marketable emission permits already in place in Europe for major economic sectors and a CO(2) tax for economic sectors not included in the emissions permit scheme. The study uses an applied general equilibrium model for the Spanish economy to compute the results obtained with the new mix of instruments proposed. As the combination of the market for emission permits and the CO(2) tax admits different possibilities that depend on how the mitigation is distributed among the economic sectors, we concentrate on four possibilities: cost-effective, equalitarian, proportional to emissions, and proportional to output distributions. Other alternatives to the CO(2) tax are also analysed (tax on energy, on oil and on electricity). Our findings suggest that careful, well designed policies are needed as any deviation imposes significant additional costs that increase more than proportionally to the level of emissions reduction targeted by the EU.

The Health Effects of Climate Change: A Survey of Recent Quantitative Research

44 p.

Analysis of multivariate stochastic signals sampled by on-line particle analyzers: Application to the quantitative assessment of occupational exposure to NOAA in multisource industrial scenarios (MSIS)

In multisource industrial scenarios (MSIS) coexist NOAA generating activities with other productive sources of airborne particles, such as parallel processes of manufacturing or electrical and diesel machinery. A distinctive characteristic of MSIS is the spatially complex distribution of aerosol sources, as well as their potential differences in dynamics, due to the feasibility of multi-task configuration at a given time. Thus, the background signal is expected to challenge the aerosol analyzers at a probably wide range of concentrations and size distributions, depending of the multisource configuration at a given time. Monitoring and prediction by using statistical analysis of time series captured by on-line particle analyzers in industrial scenarios, have been proven to be feasible in predicting PNC evolution provided a given quality of net signals (difference between signal at source and background). However the analysis and modelling of non-consistent time series, influenced by low levels of SNR (Signal-Noise Ratio) could build a misleading basis for decision making. In this context, this work explores the use of stochastic models based on ARIMA methodology to monitor and predict exposure values (PNC). The study was carried out in a MSIS where an case study focused on the manufacture of perforated tablets of nano-TiO2 by cold pressing was performed