Publication

Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014

Dietzenbacher, E., Kulionis, V. & Capurro, F., 15-Jan-2020, In : Applied Energy. 258, 14 p., 114040.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Dietzenbacher, E., Kulionis, V., & Capurro, F. (2020). Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014. Applied Energy, 258, [114040]. https://doi.org/10.1016/j.apenergy.2019.114040

Author

Dietzenbacher, Erik ; Kulionis, Viktoras ; Capurro, Filippo. / Measuring the effects of energy transition : A structural decomposition analysis of the change in renewable energy use between 2000 and 2014. In: Applied Energy. 2020 ; Vol. 258.

Harvard

Dietzenbacher, E, Kulionis, V & Capurro, F 2020, 'Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014', Applied Energy, vol. 258, 114040. https://doi.org/10.1016/j.apenergy.2019.114040

Standard

Measuring the effects of energy transition : A structural decomposition analysis of the change in renewable energy use between 2000 and 2014. / Dietzenbacher, Erik; Kulionis, Viktoras; Capurro, Filippo.

In: Applied Energy, Vol. 258, 114040, 15.01.2020.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Dietzenbacher E, Kulionis V, Capurro F. Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014. Applied Energy. 2020 Jan 15;258. 114040. https://doi.org/10.1016/j.apenergy.2019.114040


BibTeX

@article{efef3af24c3647c79068c4306e8b8be6,
title = "Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014",
abstract = "This study investigates the growth in global renewable energy use between 2000 and 2014. To identify its main contributors and their geographical distribution, a structural decomposition analysis is applied to global multiregional input-output tables. A new variant of this type of analysis is developed that introduces energy transition (i.e. the substitution of non-renewable energy by renewable energy) as one of the contributors. Global renewable energy use rose by 22.1 Exa Joules (EJ), from 57.8 EJ in 2000 to 79.9 in 2014. The contribution of energy transition at the global level to this 22.1 EJ increase was small and positive (+1.3 EJ). As for the geographical distribution of the effects, positive effects are found for the European Union and the United States, negative effects for China, India, and the Rest of the World (which includes many developing and emerging countries). Trade structure changes also had a small effect on global renewable energy use (+1.1 EJ). The main contributions were the worldwide changes in: technology and overall energy efficiency (-23.6 EJ); consumption per capita (+32.2EJ); and population (+11.0 EJ).",
keywords = "Structural decomposition analysis, Multi-regional input-output analysis, Global energy use, Energy transition, GROWING CO2 EMISSIONS, INPUT-OUTPUT TABLES, SOCIOECONOMIC DRIVERS, INTERNATIONAL-TRADE, EUROPEAN-UNION, MRIO DATABASES, CONSUMPTION, CHINA, FOOTPRINT, ECONOMY",
author = "Erik Dietzenbacher and Viktoras Kulionis and Filippo Capurro",
year = "2020",
month = "1",
day = "15",
doi = "10.1016/j.apenergy.2019.114040",
language = "English",
volume = "258",
journal = "Applied Energy",
issn = "0306-2619",
publisher = "ELSEVIER SCI LTD",

}

RIS

TY - JOUR

T1 - Measuring the effects of energy transition

T2 - A structural decomposition analysis of the change in renewable energy use between 2000 and 2014

AU - Dietzenbacher, Erik

AU - Kulionis, Viktoras

AU - Capurro, Filippo

PY - 2020/1/15

Y1 - 2020/1/15

N2 - This study investigates the growth in global renewable energy use between 2000 and 2014. To identify its main contributors and their geographical distribution, a structural decomposition analysis is applied to global multiregional input-output tables. A new variant of this type of analysis is developed that introduces energy transition (i.e. the substitution of non-renewable energy by renewable energy) as one of the contributors. Global renewable energy use rose by 22.1 Exa Joules (EJ), from 57.8 EJ in 2000 to 79.9 in 2014. The contribution of energy transition at the global level to this 22.1 EJ increase was small and positive (+1.3 EJ). As for the geographical distribution of the effects, positive effects are found for the European Union and the United States, negative effects for China, India, and the Rest of the World (which includes many developing and emerging countries). Trade structure changes also had a small effect on global renewable energy use (+1.1 EJ). The main contributions were the worldwide changes in: technology and overall energy efficiency (-23.6 EJ); consumption per capita (+32.2EJ); and population (+11.0 EJ).

AB - This study investigates the growth in global renewable energy use between 2000 and 2014. To identify its main contributors and their geographical distribution, a structural decomposition analysis is applied to global multiregional input-output tables. A new variant of this type of analysis is developed that introduces energy transition (i.e. the substitution of non-renewable energy by renewable energy) as one of the contributors. Global renewable energy use rose by 22.1 Exa Joules (EJ), from 57.8 EJ in 2000 to 79.9 in 2014. The contribution of energy transition at the global level to this 22.1 EJ increase was small and positive (+1.3 EJ). As for the geographical distribution of the effects, positive effects are found for the European Union and the United States, negative effects for China, India, and the Rest of the World (which includes many developing and emerging countries). Trade structure changes also had a small effect on global renewable energy use (+1.1 EJ). The main contributions were the worldwide changes in: technology and overall energy efficiency (-23.6 EJ); consumption per capita (+32.2EJ); and population (+11.0 EJ).

KW - Structural decomposition analysis

KW - Multi-regional input-output analysis

KW - Global energy use

KW - Energy transition

KW - GROWING CO2 EMISSIONS

KW - INPUT-OUTPUT TABLES

KW - SOCIOECONOMIC DRIVERS

KW - INTERNATIONAL-TRADE

KW - EUROPEAN-UNION

KW - MRIO DATABASES

KW - CONSUMPTION

KW - CHINA

KW - FOOTPRINT

KW - ECONOMY

U2 - 10.1016/j.apenergy.2019.114040

DO - 10.1016/j.apenergy.2019.114040

M3 - Article

VL - 258

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

M1 - 114040

ER -

ID: 113317090