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The Driving Forces of Change in Environmental Indicators [electronic resource] : An Analysis Based on Divisia Index Decomposition Techniques / by Paula Fernández González, Manuel Landajo, Mª José Presno.

By: Contributor(s): Series: Lecture Notes in Energy ; 25Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XII, 80 p. 16 illus., 14 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319075068
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 333.79 23
  • 338.926 23
LOC classification:
  • HD9502-9502.5
Online resources:
Contents:
Literature review and methodology -- Mathematical and statistical properties of decomposition techniques.The Splines Method -- Multiplicative decomposition of the change in aggregate energy intensity in the european countries during the 1995-2010 period -- Additive decomposition of changes in greenhouse gas emissions in the european union in the 1990´s.
In: Springer eBooksSummary: This book addresses several index decomposition analysis methods to assess progress made by EU countries in the last decade in relation to energy and climate change concerns. Several applications of these techniques are carried out in order to decompose changes in both energy and environmental aggregates. In addition to this, a new methodology based on classical spline approximations is introduced, which provides useful mathematical and statistical properties. Once a suitable set of determinant factors has been identified, these decomposition methods allow the researcher to quantify the respective contributions of these factors. A proper interpretation of findings enables the design of strategies and a number of energy and environmental policies to control the variables of interest. This book also analyses the impact of several factors that allow control of these variables; among them, assessment of the specific contribution of improved energy efficiency is particularly relevant. A number of divisia-index-based techniques for decomposing changes in a generic indicator are now available, and these range from classical techniques based on Laspeyres and Paasche weights to more refined approaches relying on logarithmic mean weighting schemes. This book is intended for undergraduates and graduates of energy economics and environmental sciences, environmental policy advisors, and industrial engineers.
Item type: eBooks
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Literature review and methodology -- Mathematical and statistical properties of decomposition techniques.The Splines Method -- Multiplicative decomposition of the change in aggregate energy intensity in the european countries during the 1995-2010 period -- Additive decomposition of changes in greenhouse gas emissions in the european union in the 1990´s.

This book addresses several index decomposition analysis methods to assess progress made by EU countries in the last decade in relation to energy and climate change concerns. Several applications of these techniques are carried out in order to decompose changes in both energy and environmental aggregates. In addition to this, a new methodology based on classical spline approximations is introduced, which provides useful mathematical and statistical properties. Once a suitable set of determinant factors has been identified, these decomposition methods allow the researcher to quantify the respective contributions of these factors. A proper interpretation of findings enables the design of strategies and a number of energy and environmental policies to control the variables of interest. This book also analyses the impact of several factors that allow control of these variables; among them, assessment of the specific contribution of improved energy efficiency is particularly relevant. A number of divisia-index-based techniques for decomposing changes in a generic indicator are now available, and these range from classical techniques based on Laspeyres and Paasche weights to more refined approaches relying on logarithmic mean weighting schemes. This book is intended for undergraduates and graduates of energy economics and environmental sciences, environmental policy advisors, and industrial engineers.

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