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Sectoral CO2 emissions in China: asymmetric and time-varying analysis

Today, China is the second-largest, fastest -growing economy in the world. This study analyzes asymmetric and time-varying impact of world energy prices (including world energy prices index, world coal prices, world crude oil prices and world natural gas prices) on China’s CO2 emissions. We used a n...

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Main Authors: Fatima, Tehreem, Abd Karim, Mohd Zaini, Meo, Muhammad Saeed
Format: Article
Language:English
Published: 2020
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/27323/1/JEPM%202020%201%2031.pdf
http://repo.uum.edu.my/27323/
http://doi.org/10.1080/09640568.2020.1776691
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spelling my.uum.repo.273232020-08-13T02:17:52Z http://repo.uum.edu.my/27323/ Sectoral CO2 emissions in China: asymmetric and time-varying analysis Fatima, Tehreem Abd Karim, Mohd Zaini Meo, Muhammad Saeed QA76 Computer software Today, China is the second-largest, fastest -growing economy in the world. This study analyzes asymmetric and time-varying impact of world energy prices (including world energy prices index, world coal prices, world crude oil prices and world natural gas prices) on China’s CO2 emissions. We used a non-linear ARDL (NARDL) model and wavelet analysis using monthly data from 1992 to 2017. The results based on the NARDL estimate show that world energy prices have an asymmetric impact on CO2 emissions. However, the results of wavelet pairwise correlation and wavelet-transform coherence suggest that the relationship between world energy prices and CO2 emissions differs over time and across sectors (i.e. short-term, medium-term, long-term and very long-term). Evidence suggests that ignoring fundamental non-linearities can lead to misleading outcomes. Such empirical results are expected to have a high importance for the efficient design and implementation of world energy prices and Chinese environmental policies. 2020 Article PeerReviewed application/pdf en http://repo.uum.edu.my/27323/1/JEPM%202020%201%2031.pdf Fatima, Tehreem and Abd Karim, Mohd Zaini and Meo, Muhammad Saeed (2020) Sectoral CO2 emissions in China: asymmetric and time-varying analysis. Journal of Environmental Planning and Management. pp. 1-30. ISSN 0964-0568 http://doi.org/10.1080/09640568.2020.1776691 doi:10.1080/09640568.2020.1776691
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Fatima, Tehreem
Abd Karim, Mohd Zaini
Meo, Muhammad Saeed
Sectoral CO2 emissions in China: asymmetric and time-varying analysis
description Today, China is the second-largest, fastest -growing economy in the world. This study analyzes asymmetric and time-varying impact of world energy prices (including world energy prices index, world coal prices, world crude oil prices and world natural gas prices) on China’s CO2 emissions. We used a non-linear ARDL (NARDL) model and wavelet analysis using monthly data from 1992 to 2017. The results based on the NARDL estimate show that world energy prices have an asymmetric impact on CO2 emissions. However, the results of wavelet pairwise correlation and wavelet-transform coherence suggest that the relationship between world energy prices and CO2 emissions differs over time and across sectors (i.e. short-term, medium-term, long-term and very long-term). Evidence suggests that ignoring fundamental non-linearities can lead to misleading outcomes. Such empirical results are expected to have a high importance for the efficient design and implementation of world energy prices and Chinese environmental policies.
format Article
author Fatima, Tehreem
Abd Karim, Mohd Zaini
Meo, Muhammad Saeed
author_facet Fatima, Tehreem
Abd Karim, Mohd Zaini
Meo, Muhammad Saeed
author_sort Fatima, Tehreem
title Sectoral CO2 emissions in China: asymmetric and time-varying analysis
title_short Sectoral CO2 emissions in China: asymmetric and time-varying analysis
title_full Sectoral CO2 emissions in China: asymmetric and time-varying analysis
title_fullStr Sectoral CO2 emissions in China: asymmetric and time-varying analysis
title_full_unstemmed Sectoral CO2 emissions in China: asymmetric and time-varying analysis
title_sort sectoral co2 emissions in china: asymmetric and time-varying analysis
publishDate 2020
url http://repo.uum.edu.my/27323/1/JEPM%202020%201%2031.pdf
http://repo.uum.edu.my/27323/
http://doi.org/10.1080/09640568.2020.1776691
_version_ 1675329766593396736
score 13.211869

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