987 resultados para CO2 trade balance


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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2015

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Este trabajo constituye una breve presentación del caso de la industrialización de Cataluña en los siglos XIX y XX y, asimismo, una primera valoración crítica de las aportaciones de las dos últimas décadas al estudio histórico de la industria catalana, a partir de un anterior balance historiográfico realizado por el autor veinte años atrás. Esta revisión no se plantea desde una perspectiva pluridisciplinar, sino a partir de un enfoque especializado de Historia Económica. El hecho industrial ha mantenido una gran influencia durante los dos últimos siglos en todos esos ángulos de la vida social de Cataluña y en muchos más, desde el arte a la literatura o al deporte. La historia contemporánea catalana ha sido modelada en gran parte por la fuerte presencia de la industria. Pero en las secciones que siguen se ensaya, exclusivamente, una medida aproximada de la obra realizada, y de algunas tareas por hacer, con la caja de instrumentos propia de la ciencia económica desde una perspectiva histórica.

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This paper determines the effects of post-trade opaqueness on market performance. We find that the degree of market transparency has important effects on market equilibria. In particular, we show that dealers operating in a transparent structure set regret-free prices at each period making zero expected profits in each of the two trading rounds, whereas in the opaque market dealers invest in acquiring information at the beginning of the trading day. Moreover, we obtain that if there is no trading activity in the first period, then market makers only change their quotes in the opaque market. Additionally, we show that trade disclosure increases the informational efficiency of transaction prices and reduces volatility. Finally, concerning welfare of market participants, we obtain ambiguous results. Keywords: Market microstructure, Post-trade transparency, Price experimentation, Price dispersion.

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Inductive learning aims at finding general rules that hold true in a database. Targeted learning seeks rules for the predictions of the value of a variable based on the values of others, as in the case of linear or non-parametric regression analysis. Non-targeted learning finds regularities without a specific prediction goal. We model the product of non-targeted learning as rules that state that a certain phenomenon never happens, or that certain conditions necessitate another. For all types of rules, there is a trade-off between the rule's accuracy and its simplicity. Thus rule selection can be viewed as a choice problem, among pairs of degree of accuracy and degree of complexity. However, one cannot in general tell what is the feasible set in the accuracy-complexity space. Formally, we show that finding out whether a point belongs to this set is computationally hard. In particular, in the context of linear regression, finding a small set of variables that obtain a certain value of R2 is computationally hard. Computational complexity may explain why a person is not always aware of rules that, if asked, she would find valid. This, in turn, may explain why one can change other people's minds (opinions, beliefs) without providing new information.

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We consider the collective incentives of buyers and sellers to form cartels in markets where trade is realized through decentralized pairwise bargaining. Cartels are coalitions of buyers or sellers that limit market participation and compensate inactive members for abstaining from trade. In a stable market outcome, cartels set Nash equilibrium quantities and cartel memberships are immune to defections. We prove that the set of stable market outcomes is non-empty and we provide its full characterization. Stable market outcomes are of two types: (i) at least one cartel actively restrains trade and the levels of market participation are balanced, or (ii) only one cartel, eventually the cartel that forms on the long side of the market, is active and it reduces trade slightly below the opponent's.

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This paper analyzes the joint dynamics of two key macroeconomic variables for the conduct of monetary policy: inflation and the aggregate capacity utilization rate. An econometric procedure useful for estimating dynamic rational expectation models with unobserved components is developed and applied in this context. The method combines the flexibility of the unobserved components approach, based on the Kalman recursion, with the power of the general method of moments estimation procedure. A 'hyb id' Phillips curve relating inflation to the capacity utilization gap and incorporating forward and backward looking components is estimated. The results show that such a relationship in non-linear: the slope of the Phillips curve depends significantly on the magnitude of the capacity gap. These findings provide support for studying the implications of asymmetricmonetary policy rules.

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This paper analyzes the advantages and implications of the implementation of a European tax on carbon dioxide emissions as an own resource of the European Union. In contrast to a harmonized tax, which would only have distributive effects within each member state, a tax collected at European scale would also have important distributive effects among different countries. These effects would also depend on the use of tax revenues. The paper investigates the distributive effects among the member states of three tax models: a pure CO2

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The purpose of this paper is to study the possible differences among countries as CO2 emitters and to examine the underlying causes of these differences. The starting point of the analysis is the Kaya identity, which allows us to break down per capita emissions in four components: an index of carbon intensity, transformation efficiency, energy intensity and social wealth. Through a cluster analysis we have identified five groups of countries with different behavior according to these four factors. One significant finding is that these groups are stable for the period analyzed. This suggests that a study based on these components can characterize quite accurately the polluting behavior of individual countries, that is to say, the classification found in the analysis could be used in other studies which look to study the behavior of countries in terms of CO2 emissions in homogeneous groups. In this sense, it supposes an advance over the traditional regional or rich-poor countries classifications .

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This paper analyses the inequality in CO2 emissions across countries (and groups of countries) and the relationship of this inequality with income inequality across countries for the period (1971-1999). The research employs the tools that are usually applied in income distribution analysis. The methodology used here gives qualitative and quantitative information on some of the features of the inequalities across countries that are considered most relevant for the design and discussion of policies aimed at mitigating climate change. The paper studies the relationship between CO2 emissions and GDP and shows that income inequality across countries has been followed by an important inequality in the distribution of emissions. This inequality has diminished mildly, although the inequality in emissions across countries ordered in the increasing value of income (inequality between rich and poor countries) has diminished less than the “simple” inequality in emissions. Lastly, the paper shows that the inequality in CO2 emissions is mostly explained by the inequality between groups with different per capita income level. The importance of the inequality within groups of similar per capita income is much lower and has diminished during the period, especially in the low-middle income group.

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En el presente artículo se analiza la evolución de las emisiones de CO2 –el principal gas de efecto invernadero– en las diferentes áreas del mundo, prestando mayor atención a lo ocurrido en la Unión Europea y España. El análisis se centra especialmente en lo sucedido desde 1990, año de referencia en el protocolo de Kioto para la gran mayoría de países. Se investigan también los principales factores determinantes de las emisiones y su evolución utilizando el análisis de los factores de la identidad de Kaya. El análisis permite explicar las grandes diferencias que se dan entre unas zonas y otras y las distintas variaciones que se ha

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En el presente artículo se revisan las propuestas sobre fiscalidad energética y, en concreto, sobre un impuesto europeo que grave las emisiones de dióxido de carbono y las dificultades con que se han encontrado. Se estudian las posibles implicaciones que tendría un impuesto, no ya armonizado, sino recaudado a nivel del conjunto de la Unión Europea. Este tipo de impuesto tendría importantes efectos distributivos no solo a nivel de un país (como un impuesto armonizado) sino también entre diferentes países. El trabajo estudia dichos efectos potenciales según diferentes modelos concretos de implantación (un modelo puro sobre el CO2; un modelo 50%/50% energía-CO2; un modelo puro sobre el CO2 pero gravando también la energía nuclear) y de destino de los fondos recaudados.

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Here we present an approach that allows the identification of the "key" productive sectors responsible for CO2 emission. For this purpose, we develop an input–output methodology from a supply perspective. We focus on the impact of an increase in the value-added of the different productive sectors on total CO2 emissions and we identify the productive sectors responsible for the increase in CO2 emissions when there is an increase in the income of the economy. The approach shows the contribution of the various sectors to CO2 emission from a production perspective and allows us to identify the sectors that deserve more consideration for mitigation policies. This analysis is complementary to the input–output analysis from a demand perspective. The methodology is applied to the Spanish economy.

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En este trabajo desarrollamos una metodología para descomponer las desigualdades internacionales en las emisiones de CO2 en factores (multiplicativos) de Kaya y dos términos de interacción. Utilizamos el índice de desigualdad de Theil y mostramos que esta metodología de descomposición puede extenderse para analizar los componentes de desigualdad inter e intragrupal. A continuación podemos analizar los factores detrás de las desigualdades en las emisiones de CO2 per cápita entre países, entre grupos de países y dentro de los grupos de países. La ilustración empírica sugiere algunas cuestiones. Primero, la desigualdad internacional en las emisiones de CO2 per cápita es principalmente atribuible a las desigualdades en los niveles de renta per cápita, lo que ayuda a explicar su reciente reducción, mientras que las diferencias en la intensidad de carbono de la energía y la intensidad energética han hecho una contribución mucho menos significativa. Este resultado está fuertemente influenciado por el comportamiento de China e India. En segundo lugar, el componente de la desigualdad entre grupos, que es el mayor, está también explicado en buena medida por el factor ingreso. En tercer lugar, el componente de la desigualdad dentro de los grupos aumentó ligeramente durante el período, algo principalmente debido al cambio en el factor de ingreso y los términos de interacción en unas pocas regiones.