The LMDI-based Research on Chongqing's Carbon Emission of Energy Consumption

DOI

10.2991/ifeesm-17.2018.346How to use a DOI?

Keywords

energy consumption; carbon emission; LMDI decomposition method; Chongqing.

Abstract

Based on Kaya identities, the LMDI decomposition method is used in building a factor decomposition model for Chongqing's carbon emission of energy consumption to perform empirical analysis on the impact of Chongqing's population, economic development, energy consumption structure, industrial structure and energy intensity on the carbon emission of energy consumption during 1997-2016. Researches show that the economic growth is a dominant factor of promoting the carbon emission per capita, the energy intensity is a dominant factor of inhibiting the carbon emission per capita, population has been a driving factor for the carbon emission per capita since 2010, and the impact of energy structure and industrial structure on the carbon emission per capita varies from proportion of coal consumption and proportion of industries. As a whole, the role of the driving factors is bigger than that of the inhibiting factors, resulting in overall increase of the carbon emission per capita. In the end, policy proposals shall be made to promote the carbon emission reduction.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guiyan Sun
PY  - 2018/02
DA  - 2018/02
TI  - The LMDI-based Research on Chongqing's Carbon Emission of Energy Consumption
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 1915
EP  - 1922
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.346
DO  - 10.2991/ifeesm-17.2018.346
ID  - Sun2018/02
ER  -