Structural decompositions of energy consumption, energy intensity, emissions and: Evidence from the massachusetts vehicle census

Sheng Zhong

Structural decompositions of energy consumption, energy intensity, emissions and: Evidence from the massachusetts vehicle census

Sheng Zhong

UNU-MERIT Research and Training Institute

Research output: Working paper / Preprint › Working paper

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Abstract

Using more than 68 million data points from the newly introduced World Input-Output Database (WIOD) over 1995 to 2009, this study investigates the historical dynamics of energy consumption, aggregate energy intensity, total emissions and total emission intensity at sectoral level by decomposing their relative changes in the input-output

Original language	English
Place of Publication	Maastricht
Publisher	UNU-MERIT
Publication status	Published - 29 Mar 2016

Publication series

Series	UNU-MERIT Working Papers
Number	015
ISSN	1871-9872

JEL classifications

c67 - Input-Output Models
o13 - "Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products"
r15 - "General Regional Economics: Econometric and Input-Output Models; Other Models"

Keywords

Structural decomposition
input-output model
energy
emissions
sustainable development

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https://unu-merit.nl/publications/wppdf/2016/wp2016-015.pdfLicence: CC BY-NC-SA

Cite this

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abstract = "Using more than 68 million data points from the newly introduced World Input-Output Database (WIOD) over 1995 to 2009, this study investigates the historical dynamics of energy consumption, aggregate energy intensity, total emissions and total emission intensity at sectoral level by decomposing their relative changes in the input-output",

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KW - input-output model

KW - energy

KW - emissions

KW - sustainable development

M3 - Working paper

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BT - Structural decompositions of energy consumption, energy intensity, emissions and

PB - UNU-MERIT

CY - Maastricht

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Structural decompositions of energy consumption, energy intensity, emissions and: Evidence from the massachusetts vehicle census

Abstract

Publication series

JEL classifications

Keywords

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Cite this