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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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2020
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| Online Access: | https://repo.uum.edu.my/id/eprint/27323/1/JEPM%202020%201%2031.pdf |
| _version_ | 1825805627075592192 |
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| 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 |
| collection | UUM |
| 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. |
| first_indexed | 2024-07-04T06:35:22Z |
| format | Article |
| id | uum-27323 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:35:22Z |
| publishDate | 2020 |
| record_format | eprints |
| spelling | uum-273232020-08-13T02:17:52Z https://repo.uum.edu.my/id/eprint/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 https://repo.uum.edu.my/id/eprint/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 doi:10.1080/09640568.2020.1776691 |
| spellingShingle | QA76 Computer software Fatima, Tehreem Abd Karim, Mohd Zaini Meo, Muhammad Saeed Sectoral CO2 emissions in China: asymmetric and time-varying analysis |
| title | 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_short | Sectoral CO2 emissions in China: asymmetric and time-varying analysis |
| title_sort | sectoral co2 emissions in china asymmetric and time varying analysis |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/27323/1/JEPM%202020%201%2031.pdf |
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