Income growth and atmospheric pollution in Spain: an input-output approach

The relationships between economic growth and environmental pressures are complex. Since the early nineties, the debate on these relationships has been strongly influenced by the Environmental Kuznets Curve hypothesis, which states that during the first stage of economic development environmental pressures increase as per capita income increases, but once a critical turning-point has been reached these pressures diminish as income levels continue to increase. However, to date such a delinking between economic growth and emission levels has not happened for most atmospheric pollutants in Spain. The aim of this paper is to analyse the relationship between income growth and nine atmospheric pollutants in Spain. In order to obtain empirical outcomes for this analysis, we adopt an input-output approach and use NAMEA data for the nine pollutants. First, we undertake a structural decomposition analysis for the period 1995-2000 to estimate the contribution of various factors to changes in the levels of atmospheric emissions. And second, we estimate the emissions associated with the consumption patterns of different groups of households classified according to their level of expenditure

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

Transferring QTL technology to the pig breeding industry (PigQTech) - a demonstration project

The aim of the project has been to demonstrate how the farm animal breeding industry can utilise gene mapping technology to accelerate genetic improvement. Previous theoretical studies had suggested that the use of marker assisted selection could potentially increase the annual improvement for quantitative traits like backfat with about 10% and for more difficult traits such as meat quality and reproduction by as much as 40-60% compared with existing technology. The work has comprised two major tasks: 1. Commercially relevant populations have been screened for segregation at QTLs identified in experimental populations. The aim has been to establish optimal strategies for QTL detection in commercial pig populations and the extent to which QTLs explaining major phenotypic differences between divergent lines used in experimental studies also explain quantitative variation within commercial lines. The results are important for specifying future strategies for finding economically valuable QTLs. 2. Marker assisted backcrossing has been used to demonstrate how a QTL allele can be introgressed from one breed to another. The work has focused on the major fatness QTL on pig chromosome 4 previously identified in a wild pig/Large White intercross. The end result was not designed to be a commercially viable product in its own right, but the process has validated a number of points of major importance for the exploitation of QTLs in livestock.

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.

Wireless GPS-based phase-locked synchronization system for outdoor environment.

Synchronization of data coming from different sources is of high importance in biomechanics to ensure reliable analyses. This synchronization can either be performed through hardware to obtain perfect matching of data, or post-processed digitally. Hardware synchronization can be achieved using trigger cables connecting different devices in many situations; however, this is often impractical, and sometimes impossible in outdoors situations. The aim of this paper is to describe a wireless system for outdoor use, allowing synchronization of different types of - potentially embedded and moving - devices. In this system, each synchronization device is composed of: (i) a GPS receiver (used as time reference), (ii) a radio transmitter, and (iii) a microcontroller. These components are used to provide synchronized trigger signals at the desired frequency to the measurement device connected. The synchronization devices communicate wirelessly, are very lightweight, battery-operated and thus very easy to set up. They are adaptable to every measurement device equipped with either trigger input or recording channel. The accuracy of the system was validated using an oscilloscope. The mean synchronization error was found to be 0.39 μs and pulses are generated with an accuracy of <2 μs. The system provides synchronization accuracy about two orders of magnitude better than commonly used post-processing methods, and does not suffer from any drift in trigger generation.

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.

A comparison of results from MRIO and interregional computable general equilibrium (CGE) analyses of the impacts of a positive demand shock on the ‘CO2 trade balance’ between Scotland and the rest of the UK

In previous work we have applied the environmental multi-region input-output (MRIO) method proposed by Turner et al (2007) to examine the ‘CO2 trade balance’ between Scotland and the Rest of the UK. In McGregor et al (2008) we construct an interregional economy-environment input-output (IO) and social accounting matrix (SAM) framework that allows us to investigate methods of attributing responsibility for pollution generation in the UK at the regional level. This facilitates analysis of the nature and significance of environmental spillovers and the existence of an environmental ‘trade balance’ between regions. While the existence of significant data problems mean that the quantitative results of this study should be regarded as provisional, we argue that the use of such a framework allows us to begin to consider questions such as the extent to which a devolved authority like the Scottish Parliament can and should be responsible for contributing to national targets for reductions in emissions levels (e.g. the UK commitment to the Kyoto Protocol) when it is limited in the way it can control emissions, particularly with respect to changes in demand elsewhere in the UK. However, while such analysis is useful in terms of accounting for pollution flows in the single time period that the accounts relate to, it is limited when the focus is on modelling the impacts of any marginal change in activity. This is because a conventional demand-driven IO model assumes an entirely passive supply-side in the economy (i.e. all supply is infinitely elastic) and is further restricted by the assumption of universal Leontief (fixed proportions) technology implied by the use of the A and multiplier matrices. In this paper we argue that where analysis of marginal changes in activity is required, a more flexible interregional computable general equilibrium approach that models behavioural relationships in a more realistic and theory-consistent manner, is more appropriate and informative. To illustrate our analysis, we compare the results of introducing a positive demand stimulus in the UK economy using both IO and CGE interregional models of Scotland and the rest of the UK. In the case of the latter, we demonstrate how more theory consistent modelling of both demand and supply side behaviour at the regional and national levels affect model results, including the impact on the interregional CO2 ‘trade balance’.

Why is it so Hard to Value Intangibles? Evidence from Investments in High-Technology Start-Ups

The paper uses a range of primary-source empirical evidence to address the question: ‘why is it to hard to value intangible assets?’ The setting is venture capital investment in high technology companies. While the investors are risk specialists and financial experts, the entrepreneurs are more knowledgeable about product innovation. Thus the context lends itself to analysis within a principal-agent framework, in which information asymmetry may give rise to adverse selection, pre-contract, and moral hazard, post-contract. We examine how the investor might attenuate such problems and attach a value to such high-tech investments in what are often merely intangible assets, through expert due diligence, monitoring and control. Qualitative evidence is used to qualify the more clear cut picture provided by a principal-agent approach to a more mixed picture in which the ‘art and science’ of investment appraisal are utilised by both parties alike