Intra-Party Democracy and middle-level elites in Spain

The gradual implementation of new, more participatory and thus, more democratic mechanisms of intra-party decision-making has been pointed out by several party politics scholars. This phenomenon has been studied as the party elite’s reactions to a widespread trend in Western countries: the party membership decline. Spain is still a deviant case in both the party membership decline trend, and with regards to the introduction of more participatory and democratic decision-making mechanisms. However, the paper point out that support for intra-party democracy is quite widespread within Spanish party middle elites (party delegates). That is why the aim of this paper is to explain which factors are underpinning the supports for intra-party democracy amongst Spanish party delegates. After conducting a multivariate analysis, the results show that ideology, the involvement in intra-party experiences and the degree of pragmatism, amongst others, are factors strongly associated with the support for intraparty democracy in Spanish party middle elites.

Quantificació de l'error comès pels models de níxol ecològic al predir la distribució d'especies generalistes

Report for the scientific sojourn carried out at the University of California at Berkeley, from September to December 2007. Environmental niche modelling (ENM) techniques are powerful tools to predict species potential distributions. In the last ten years, a plethora of novel methodological approaches and modelling techniques have been developed. During three months, I stayed at the University of California, Berkeley, working under the supervision of Dr. David R. Vieites. The aim of our work was to quantify the error committed by these techniques, but also to test how an increase in the sample size affects the resultant predictions. Using MaxEnt software we generated distribution predictive maps, from different sample sizes, of the Eurasian quail (Coturnix coturnix) in the Iberian Peninsula. The quail is a generalist species from a climatic point of view, but an habitat specialist. The resultant distribution maps were compared with the real distribution of the species. This distribution was obtained from recent bird atlases from Spain and Portugal. Results show that ENM techniques can have important errors when predicting the species distribution of generalist species. Moreover, an increase of sample size is not necessary related with a better performance of the models. We conclude that a deep knowledge of the species’ biology and the variables affecting their distribution is crucial for an optimal modelling. The lack of this knowledge can induce to wrong conclusions.

Gestión en el territorio de una empresa de seguridad mediante estándares GIS e integración de datos con Google Maps.

Estudi teòric sobre els Sistemes d'Informació Geogràfica (GIS) i sobre les especificacions que està publicant el Open Geospatial Consortium (OGC) com estàndards oberts que permetin les comunicacions entre distints GIS.

Gestión en el territorio de una empresa de seguridad mediante estándares SIG e integración de datos con GOOGLE MAPS

Amb l'evolució de les noves tecnologies, els Sistemes d'Informació Geogràfica (SIG) es basen cada vegada menys en plataformes propietàries (únicament a l'abast de grans companyies). L'objectiu que persegueix el Open Geospatial Consortium (OGC) és que tot el món pugui beneficiar-se de la informació geogràfica, fent que els serveis estiguin disponibles en qualsevol xarxa, aplicació o sistema.

Desenvolupament d'edició geogràfica segons l'estàndard WFS-T sobre l'API de Google Maps

El present treball tractarà d'aprofitar Google Maps i les eines lliures disponibles, per construir unes llibreries Javascript d'ús obert que permetin afegir serveis de persistència als serveis de cartografia ja disponibles.

El Riu Llobregat i la seva relació amb el territori en l'època romana

El Geomedia© facilita agrupar tota la informació com: perfils de terreny, tipus de jaciments, mapes geològics, fonts històriques... per establir la ubicació del riu en època romana i finalment, avaluar els efectes d'una riuada.

Representació dels jaciments arqueològics del Museu de Molins de Rei amb Google Maps

En aquest document es recull i descriuen els treballs fets al Treball de Final de Carrera, en la especialitat de Sistemes d'Informació Geogràfica (SIG). La finalitat del projecte es utilitzar les tecnologies SIG per crear una pagina web on es representin els jaciments arqueològics del Museu de Molins de Rei de forma visual fàcil e interactiva sobre el mateix mapa. Per això es farà una web que sigui un "Mash-Up" utilitzant les les funcionalitats que proporcionen les Api de Google Maps.

Representació dels Jaciments de Molins de Rei amb Google Maps

El Museu Municipal de Molins de Rei desitja posar a la disposició dels visitants, tant presencials com virtuals, el seu fons, així com disposar d'una eina que permeti visualitzar sobre un mapa la distribució dels seus jaciments.L'usuari d'aquest projecte disposarà d'una eina que li facilitarà triar els jaciments en funció del període històric que vol consultar, accedint a través d'aquests a la documentació relativa als períodes històrics del jaciment, la de les troballes corresponents a cada període històric del jaciment i a les imatges tant del jaciment com dels objectes que s'hi han trobat.També disposarà d'una eina que li donarà les indicacions adequades per tal de poder arribar des de l'adreça que desitgi fins a la seu del museu o fins als diferents jaciments.

Breast cancer incidence and overdiagnosis in Catalonia (Spain)

Early detection of breast cancer (BC) with mammography may cause overdiagnosis andovertreatment, detecting tumors which would remain undiagnosed during a lifetime. The aims of this study were: first, to model invasive BC incidence trends in Catalonia (Spain) taking into account reproductive and screening data; and second, to quantify the extent of BC overdiagnosis. We modeled the incidence of invasive BC using a Poisson regression model. Explanatory variables were:age at diagnosis and cohort characteristics (completed fertility rate, percentage of women that use mammography at age 50, and year of birth). This model also was used to estimate the background incidence in the absence of screening. We used a probabilistic model to estimate the expected BC incidence if women in the population usedmammography as reported in health surveys. The difference between the observed and expected cumulative incidences provided an estimate of overdiagnosis.Incidence of invasive BC increased, especially in cohorts born from 1940 to 1955. The biggest increase was observed in these cohorts between the ages of 50 to 65 years, where the final BC incidence rates more than doubled the initial ones. Dissemination of mammography was significantly associated with BC incidence and overdiagnosis. Our estimates of overdiagnosis ranged from 0.4% to 46.6%, for women born around 1935 and 1950, respectively.Our results support the existence of overdiagnosis in Catalonia attributed to mammography usage, and the limited malignant potential of some tumors may play an important role. Women should be better informed about this risk. Research should be oriented towards personalized screening and risk assessment tools

Using self organizing maps on compositional data

Self-organizing maps (Kohonen 1997) is a type of artificial neural network developedto explore patterns in high-dimensional multivariate data. The conventional versionof the algorithm involves the use of Euclidean metric in the process of adaptation ofthe model vectors, thus rendering in theory a whole methodology incompatible withnon-Euclidean geometries.In this contribution we explore the two main aspects of the problem:1. Whether the conventional approach using Euclidean metric can shed valid resultswith compositional data.2. If a modification of the conventional approach replacing vectorial sum and scalarmultiplication by the canonical operators in the simplex (i.e. perturbation andpowering) can converge to an adequate solution.Preliminary tests showed that both methodologies can be used on compositional data.However, the modified version of the algorithm performs poorer than the conventionalversion, in particular, when the data is pathological. Moreover, the conventional ap-proach converges faster to a solution, when data is \well-behaved".Key words: Self Organizing Map; Artificial Neural networks; Compositional data

Regional flows of domestic tourism in Spain = Flujos regionales del turismo doméstico en España

The paper analyses the regional flows of domestic tourism that took place in Spain in year 2000, contributing to the state of knowledge on tourism required by authorities and private firms when faced with decision making, for example, for regional infrastructure planning. Although tourism is one of the main income-generating economic activities in Spain, domestic tourism has received little attention in the literature compared to inbound tourism. The paper uses among others, gravitational model tools and concentration indices, to analyse regional concentration of both domestic demand and supply; tourism flows among regions, and the causes that may explain the observed flows and attractiveness between regions. Among the most remarkable results are the high regional concentration of demand and supply, and the role of population and regional income as explanatory variables. Also remarkable are the attractiveness of own region and neighbour ones, and that domestic tourism may be acting as a regional income redistributing activity

Weighted Logratio Biplots, Correspondence Analysis and Spectral Maps

Starting with logratio biplots for compositional data, which are based on the principle of subcompositional coherence, and then adding weights, as in correspondence analysis, we rediscover Lewi's spectral map and many connections to analyses of two-way tables of non-negative data. Thanks to the weighting, the method also achieves the property of distributional equivalence

Presidents and parties in regional politics: Italy and Spain compared

This article examines the relationship between political parties and regional presidents in Italy and Spain, adopting a comparative case study approach based on extensive archival analysis and in-depth interviews with regional politicians. The findings confirm a strong pattern of growing presidentialism at regional level, regardless of whether there are formal mechanisms for direct election, and regardless of the partisan composition of regional government. Regional presidents tend to exert their growing power through a personalised control of regional party organisations, rather than governing past parties in a direct appeal to the electorate. Nevertheless, parties can still present a significant constraint on regional presidents, so successful regional presidents tend to maintain a mediating form of leadership and fully exploit the opportunities for party patronage to build up their support and smooth governing tensions. An autonomist drive helps presidents hold together disparate coalitions or loose parties at regional level, but their lack of internal coherence presents major problems when it comes to political succession.

The effectiveness of market intervention policies to improve diet quality and to reduce the prevalence of obesity in Spain

Our project aims at analyzing the relevance of economic factors (mainly income and other socioeconomic characteristics of Spanish households and market prices) on the prevalence of obesity in Spain and to what extent market intervention prices are effective to reduce obesity and improve the quality of the diet, and under what circumstances. In relation to the existing literature worldwide, this project is the first attempt in Spain trying to get an overall picture on the effectiveness of public policies on both food consumption and the quality of diet, on one hand, and on the prevalence of obesity on the other. The project consists of four main parts. The first part represents a critical review of the literature on the economic approach of dealing with the obesity prevalence problems, diet quality and public intervention policies. Although another important body of obesity literature is dealing with physical exercise but in this paper we will limit our attention to those studies related to food consumption respecting the scope of our study and as there are many published literature review dealing with the literature related to the physical exercise and its effect on obesity prevalence. The second part consists of a Parametric and Non-Parametric Analysis of the Role of Economic Factors on Obesity Prevalence in Spain. The third part is trying to overcome the shortcomings of many diet quality indices that have been developed during last decades, such as the Healthy Eating Index, the Diet Quality Index, the Healthy Diet Indicator, and the Mediterranean Diet Score, through the development of a new obesity specific diet quality index. While the last part of our project concentrates on the assessment of the effectiveness of market intervention policies to improve the healthiness of the Spanish Diet Using the new Exact Affine Stone Index (EASI) Demand System.

Economic and environmental effects of the CO2 taxation: an input-output analysis for Spain

CO2 emissions induced by human activities are the major cause of climate change; hence, strong environmental policy that limits the growing dependence on fossil fuel is indispensable. Tradable permits and environmental taxes are the usual tools used in CO2 reduction strategies. Such economic tools provide incentives to polluting industries to reduce their emissions through market signals. The aim of this work is to investigate the direct and indirect effects of an environmental tax on Spanish products and services. We apply an environmentally extended input-output (EIO) model to identify CO2 emission intensities of products and services and, accordingly, we estimate the tax proportional to these intensities. The short-term price effects are analyzed using an input-output price model. The effect of tax introduction on consumption prices and its influence on consumers’ welfare are determined. We also quantify the environmental impacts of such taxation in terms of the reduction in CO2 emissions. The results, based on the Spanish economy for the year 2007, show that sectors with relatively poor environmental profile are subjected to high environmental tax rates. And consequently, applying a CO2 tax on these sectors, increases production prices and induces a slight increase in consumer price index and a decrease in private welfare. The revenue from the tax could be used to counter balance the negative effects on social welfare and also to stimulate the increase of renewable energy shares in the most impacting sectors. Finally, our analysis highlights that the environmental and economic goals cannot be met at the same time with the environmental taxation and this shows the necessity of finding other (complementary or alternative) measures to ensure both the economic and ecological efficiencies. Keywords: CO2 emissions; environmental tax; input-output model, effects of environmental taxation.