NATURAL GAS AS A SOURCE OF ENERGY
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN MANAGEMENT, ECONOMICS AND SOCIAL SCIENCE
Author(s): DELIGEORGIOU GEORGIOS , KONSTANTINOS GOUNARIS
Abstract: Natural gas is found in abundance in many regions of the world, in quantities that ensure energy sufficiency for human activities for 250 years or so, based on current estimates. In the global energy industry’s turnover in 2011 natural gas participated in a proportion of about 21% ranking just after oil and coal, as the third largest energy source [1]. In financial figures, that translates to hundreds of billions of U.S. dollars per year [2]. This paper will analyze the elements of that fuel demonstrate its importance as a source of energy and assess the perspective of its contribution to meeting energy needs in the future. The methodology includes the description of natural gas, its origin, probable stocks and their geographical distribution, the procedures of extraction, its use, comparison with other energy sources, prospects of exploitation of new deposits and modes of transport from point production to the place of consumption.
- Publication Date: 08-Jun-2014
- DOI: 10.15224/978-1-63248-023-1-56
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MODELING MULTIDIMENSIONAL INEQUALITY IN WELL-BEING: THE CASE OF SPAIN
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN MANAGEMENT, ECONOMICS AND SOCIAL SCIENCE
Author(s): JOSE MARIA SARABIA , VANESA JORDA
Abstract: The aim of this paper is to assess the evolution of multidimensional inequality in well-being using Lorenz curves. Closed expressions for the bivariate Lorenz curve defined by Arnold (1983) are given. We assume a relevant type of models based on the class of distributions with given marginals described by Sarmanov and Lee (Lee, 1996; Sarmanov, 1966). This specification of the bivariate Lorenz curve can be easily interpreted as a convex linear combination of products of classical and concentrated Lorenz curves (Sarabia and Jordá, 2014). Using this methodology, we present a closed expression for the bivariate Gini index (Arnold, 1987) in terms of the classical and concentrated Gini indices of the marginal distributions, which are modeled using a convenient model. This index is especially useful and can be decomposed in two factors, corresponding to inequality within variables and the degree of correlation between dimensions (Sarabia and Jordá, 2014). Finally, we illustrate all the previo
- Publication Date: 08-Jun-2014
- DOI: 10.15224/978-1-63248-023-1-57
- Views: 0
- Downloads: 0