Análisis input-ouput y emisiones de CO2 en España: Un primer análisis para la determinación de sectores clave en la emisión

El objetivo de estas páginas, que es parte de una investigación más amplia, es el desarrollo de un primer análisis de las relaciones entre la estructura productiva de la economía española y las emisiones de CO2, el más importante de los gases de efecto invernadero, a la atmósfera. Después de exponer la metodología utilizada, que permite la utilización conjunta en análisis expost, como el que nos ocupa, de los multiplicadores de oferta y demanda, se obtienen resultados relevantes que permiten un estudio detallado de las mencionadas relaciones. Posteriormente se determinan los sectores

Subsistemas input-output y contaminación: una aplicación al sector servicions y las emisiones de CO2 en España

El análisis de subsistemas input-output nos proporciona una herramienta de gran utilidad para estudiar la estructura productiva de los diferentes sectores que componen una economía. En el presente trabajo se ha desarrollado este análisis para estudiar las emisiones de CO2 relacionadas con el conjunto de ramas productivas que conforman el sector servicios. La descomposición de la producción total del subsistema servicios nos permite obtener las emisiones de CO2 relacionadas con diferentes efectos (escala, propio, feed-back y spill over). De los resultados obtenidos, destaca el diferente papel de las distintas ramas productivas de servicios. Las actividades de transporte serían las responsables de las mayores emisiones generadas directamente en el sector. Estas actividades son demandadas por el resto de sectores de la economía en mayor grado que su propia demanda final, teniendo mayor responsabilidad la producción vendida a otros sectores que la propia demanda final. No obstante, para el resto de actividades las emisiones directas e indirectas asociadas a la demanda final son mucho más importantes, por el fuerte efecto de arrastre sobre otras ramas de la economía que ejercen las actividades de servicios. A este respecto, destacan los servicios de Comercio, Hostelería, Inmobiliarias y servicios empresariales y la Administración pública, actividades que reciben escasa atención en el diseño de políticas orientadas a reducir las emisiones, pero que tienen una responsabilidad muy destacable en el fuerte aumento de emisiones experimentado en los últimos años.

Actividad económica, consumo final de energía y requerimientos de energía primaria en Cataluña, 1990-2005. Análisis mediante el uso de los balances energéticos desde una perspectiva input-output

Este trabajo analiza la evolución de los consumos finales de energía en Cataluña durante el periodo 1990-2005. En conjunto, los consumos finales de energía crecen por encima del crecimiento del PIB en términos reales. La disponibilidad actual de datos permite una desagregación en cinco actividades: sector primario; sector industrial; sector servicios; transporte; y sector doméstico. Los aumentos relativos más importantes se dan en los sectores servicios, doméstico y transporte. Es esta última actividad (que incluye el transporte privado y comercial) la que experimenta un mayor aumento en términos absolutos, hasta llegar a representar un consumo final de energía.

Actividad económica y emisiones de CO2 derivadas del consumo de energía en Cataluña, 1990-2005. Análisis mediante el uso de los balances energéticos desde una perspectiva input-output

A lo largo del trabajo hemos analizado, tanto desde una perspectiva agregada, como posteriormente con todo el detalle posible, la evolución experimentada por estas emisiones, teniendo en cuenta las limitaciones de información . Para hacerlo se han utilizado conceptos y precisiones metodológicas ampliamente utilizadas en la literatura científica sobre el tema. Del estudio realizado en la primera parte del trabajo resulta evidente que el importante crecimiento de las emisiones en Cataluña durante el periodo considerado, de un 60.1%, muy superior a la media española (50,5%), se explica como principal factor por el aumento en el PIB per cápita, con un crecimiento del 33,35% . El crecimiento demográfico también habría contribuido de forma importante al incremento en las emisiones totales, con un aumento del 10,5% de la población; sobre todo a partir de 1999, ya que en la década de los noventa la población se mantuvo estable con pocas.

The Total fiscal cost of indirect taxation: an approximation using Catalonia's recent input-output table

In this note we quantify to what extent indirect taxation influences and distorts prices. To do so we use the networked accounting structure of the most recent input-output table of Catalonia, an autonomous region of Spain, to model price formation. The role of indirect taxation is considered both from a classical value perspective and a more neoclassical flavoured one. We show that they would yield equivalent results under some basic premises. The neoclassical perspective, however, offers a bit more flexibility to distinguish among different tax figures and hence provide a clearer disaggregate picture of how an indirect tax ends up affecting, and by how much, the cost structure.

Economic impact of alternative policy measures implemented on the energy activities of the Catalan production system: an input-output analysis

The aim of the paper is to analyse the economic impact of alternative policies implemented on the energy activities of the Catalan production system. Specifically, we analyse the effects of a tax on intermediate energy uses, a reduction in the final production of energy, and a reduction in intermediate energy uses. The methodology involves two versions of the input-output price model: a competitive price formulation and a mark-up price formulation. The input-output price framework will make it possible to evaluate how the alternative measures modify production prices, consumption prices, private welfare, and intermediate energy uses. The empirical application is for the Catalan economy and uses economic data for the year 2001.

Inbreeding avoidance through kin recognition: choosy females boost male dispersal.

Inbreeding avoidance is predicted to induce sex biases in dispersal. But which sex should disperse? In polygynous species, females pay higher costs to inbreeding and thus might be expected to disperse more, but empirical evidence consistently reveals male biases. Here, we show that theoretical expectations change drastically if females are allowed to avoid inbreeding via kin recognition. At high inbreeding loads, females should prefer immigrants over residents, thereby boosting male dispersal. At lower inbreeding loads, by contrast, inclusive fitness benefits should induce females to prefer relatives, thereby promoting male philopatry. This result points to disruptive effects of sexual selection. The inbreeding load that females are ready to accept is surprisingly high. In absence of search costs, females should prefer related partners as long as delta<r/(1+r) where r is relatedness and delta is the fecundity loss relative to an outbred mating. This amounts to fitness losses up to one-fifth for a half-sib mating and one-third for a full-sib mating, which lie in the upper range of inbreeding depression values currently reported in natural populations. The observation of active inbreeding avoidance in a polygynous species thus suggests that inbreeding depression exceeds this threshold in the species under scrutiny or that inbred matings at least partly forfeit other mating opportunities for males. Our model also shows that female choosiness should decline rapidly with search costs, stemming from, for example, reproductive delays. Species under strong time constraints on reproduction should thus be tolerant of inbreeding.

The evolution of purinergic receptors involved in recognition of a blood meal by hematophagous insects

Many blood feeders use adenine nucleotides as cues for locating blood meal. Structure-activity relationship of adenine nucleotides as phagostimulants varies between closely-related species of blood feeders. It is suggested that a preexisting diverse pool of nucleotide-binding proteins present in all living cells, serves as a source of receptor proteins for the gustatory receptors involved in blood detection. It is proposed that the selection of any such nucleotide-binding protein is random.

Efficient knowledge retrieval to calibrate input variables in forest fire prediction

Forest fires are a serious threat to humans and nature from an ecological, social and economic point of view. Predicting their behaviour by simulation still delivers unreliable results and remains a challenging task. Latest approaches try to calibrate input variables, often tainted with imprecision, using optimisation techniques like Genetic Algorithms. To converge faster towards fitter solutions, the GA is guided with knowledge obtained from historical or synthetical fires. We developed a robust and efficient knowledge storage and retrieval method. Nearest neighbour search is applied to find the fire configuration from knowledge base most similar to the current configuration. Therefore, a distance measure was elaborated and implemented in several ways. Experiments show the performance of the different implementations regarding occupied storage and retrieval time with overly satisfactory results.

Object recognition for autonomous objects: comparison of two approaches

Report for the scientific sojourn at the Swiss Federal Institute of Technology Zurich, Switzerland, between September and December 2007. In order to make robots useful assistants for our everyday life, the ability to learn and recognize objects is of essential importance. However, object recognition in real scenes is one of the most challenging problems in computer vision, as it is necessary to deal with difficulties. Furthermore, in mobile robotics a new challenge is added to the list: computational complexity. In a dynamic world, information about the objects in the scene can become obsolete before it is ready to be used if the detection algorithm is not fast enough. Two recent object recognition techniques have achieved notable results: the constellation approach proposed by Lowe and the bag of words approach proposed by Nistér and Stewénius. The Lowe constellation approach is the one currently being used in the robot localization project of the COGNIRON project. This report is divided in two main sections. The first section is devoted to briefly review the currently used object recognition system, the Lowe approach, and bring to light the drawbacks found for object recognition in the context of indoor mobile robot navigation. Additionally the proposed improvements for the algorithm are described. In the second section the alternative bag of words method is reviewed, as well as several experiments conducted to evaluate its performance with our own object databases. Furthermore, some modifications to the original algorithm to make it suitable for object detection in unsegmented images are proposed.

An interregional input-output analysis of the pollution content of trade flows and environmental trade balances between five states in the US Mid-West

In this paper we attempt an empirical application of the multi-region input-output (MRIO) method in order to enumerate the pollution content of interregional trade flows between five Mid-West regions/states in the US –Illinois, Indiana, Iowa, Michigan and Wisconsin – and the rest of the US. This allows us to analyse some very important issues in terms of the nature and significance of interregional environmental spillovers within the US Mid-West and the existence of pollution ‘trade balances’ between states. Our results raise questions in terms of the extent to which authorities at State level can control local emissions where they are limited in the way some emissions can be controlled, particularly with respect to changes in demand elsewhere in the Mid-West and US. This implies a need for policy co-ordination between national and state level authorities in the US to meet emissions reductions targets. The existence of an environmental trade balances between states also raises issues in terms of net losses/gains in terms of pollutants as a result of interregional trade within the US and whether, if certain activities can be carried out using less polluting technology in one region relative to others, it is better for the US as a whole if this type of relationship exists.

Responsibility for regional waste generation: A single region extended input-output analysis with uni-directional trade flows

The paper uses a regional input-output (IO) framework and data derived on waste generation by industry to examine regional accountability for waste generation. In addition to estimating a series of industry output-waste coefficients, the paper considers two methods for waste attribution but focuses first on one (trade endogenised linear attribution system (TELAS)) that permits a greater focus on private and public final consumption as the main exogenous driver of waste generation. Second, the paper uses a domestic technology assumption (DTA) to consider a regional ‘waste footprint’ where local consumption requirements are assumed to be met through domestic production.