The evolution, characteristics, and driving forces of the rural-urban HCEs in China: based on the EIO-SDA model
Households' carbon emissions (HCEs) plays an important role in the overall carbon emission (CE) reduction. This study conducts a comparative analysis of the trends and characteristics of the rural and urban HCEs in China in 1997–2020, by applying the environmental input-output (EIO) model. Then...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
|
| Series: | Frontiers in Environmental Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2024.1518120/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850257346904719360 |
|---|---|
| author | Yang Yang Meijian Yang Jia Luo Zhengzao Wang Yuanying Chi Yahui Chen |
| author_facet | Yang Yang Meijian Yang Jia Luo Zhengzao Wang Yuanying Chi Yahui Chen |
| author_sort | Yang Yang |
| collection | DOAJ |
| description | Households' carbon emissions (HCEs) plays an important role in the overall carbon emission (CE) reduction. This study conducts a comparative analysis of the trends and characteristics of the rural and urban HCEs in China in 1997–2020, by applying the environmental input-output (EIO) model. Then, a three-stage SDA model is applied to decompose the driving forces of the rural and urban HCEs evolution into population effect, per capita HCEs effect, expenditure effect, CE intensity effect, energy structure effect, and energy consumption intensity effect. It is obtained that the rural HCEs increases before 2015 and then decreases, but its per capita HCEs has always shown an upward trend. The urban HCEs has been increasing, but its per capita HCEs starts to decrease after 2015. Indirect HCEs accounts for over 80% of both the rural and urban HCEs, and Residence, Food and Tobacco, Transportation and Communication are the three biggest contributing sectors. To reveal the driving forces of the rural and urban HCEs evolution, this study conducts phase decomposition analysis with 2015 as a turning point. For rural HCEs, in 1997–2015, rural HCEs increased due to the dominant expenditure effect; from 2015 to 2020, the driving force reversed, leading to a decline in rural HCEs. For urban HCEs, the positive population and expenditure effects have always been larger than the negative energy structure and energy consumption intensity effects, resulting growth in urban HCEs. For urban per capita HCEs, in 1997–2015, the positive expenditure effect is greater than the negative CE intensity effect, leading to an increase in urban per capita HCEs, and a positive urban per capita HCEs effect. In 2015–2020, the driving force reversed, leading to a decline in urban per capita HCEs. Based on above results, countermeasures to promote rural and urban HCEs reduction are discussed. |
| format | Article |
| id | doaj-art-b34ce0036adf4a94ad566554e076bc48 |
| institution | OA Journals |
| issn | 2296-665X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj-art-b34ce0036adf4a94ad566554e076bc482025-08-20T01:56:27ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2024-12-011210.3389/fenvs.2024.15181201518120The evolution, characteristics, and driving forces of the rural-urban HCEs in China: based on the EIO-SDA modelYang Yang0Meijian Yang1Jia Luo2Zhengzao Wang3Yuanying Chi4Yahui Chen5College of Economics and Management, Beijing University of Technology, Beijing, ChinaCollege of Economics and Management, Anhui Polytechnic University, Wuhu, ChinaCollege of Economics and Management, Beijing University of Technology, Beijing, ChinaCollege of Economics and Management, Beijing University of Technology, Beijing, ChinaCollege of Economics and Management, Beijing University of Technology, Beijing, ChinaCollege of Economics and Management, Beijing University of Technology, Beijing, ChinaHouseholds' carbon emissions (HCEs) plays an important role in the overall carbon emission (CE) reduction. This study conducts a comparative analysis of the trends and characteristics of the rural and urban HCEs in China in 1997–2020, by applying the environmental input-output (EIO) model. Then, a three-stage SDA model is applied to decompose the driving forces of the rural and urban HCEs evolution into population effect, per capita HCEs effect, expenditure effect, CE intensity effect, energy structure effect, and energy consumption intensity effect. It is obtained that the rural HCEs increases before 2015 and then decreases, but its per capita HCEs has always shown an upward trend. The urban HCEs has been increasing, but its per capita HCEs starts to decrease after 2015. Indirect HCEs accounts for over 80% of both the rural and urban HCEs, and Residence, Food and Tobacco, Transportation and Communication are the three biggest contributing sectors. To reveal the driving forces of the rural and urban HCEs evolution, this study conducts phase decomposition analysis with 2015 as a turning point. For rural HCEs, in 1997–2015, rural HCEs increased due to the dominant expenditure effect; from 2015 to 2020, the driving force reversed, leading to a decline in rural HCEs. For urban HCEs, the positive population and expenditure effects have always been larger than the negative energy structure and energy consumption intensity effects, resulting growth in urban HCEs. For urban per capita HCEs, in 1997–2015, the positive expenditure effect is greater than the negative CE intensity effect, leading to an increase in urban per capita HCEs, and a positive urban per capita HCEs effect. In 2015–2020, the driving force reversed, leading to a decline in urban per capita HCEs. Based on above results, countermeasures to promote rural and urban HCEs reduction are discussed.https://www.frontiersin.org/articles/10.3389/fenvs.2024.1518120/fullhouseholds’ carbon emissions (HCEs)evolutionary trendcharacteristicsdriving forcesEIO-SDA model |
| spellingShingle | Yang Yang Meijian Yang Jia Luo Zhengzao Wang Yuanying Chi Yahui Chen The evolution, characteristics, and driving forces of the rural-urban HCEs in China: based on the EIO-SDA model Frontiers in Environmental Science households’ carbon emissions (HCEs) evolutionary trend characteristics driving forces EIO-SDA model |
| title | The evolution, characteristics, and driving forces of the rural-urban HCEs in China: based on the EIO-SDA model |
| title_full | The evolution, characteristics, and driving forces of the rural-urban HCEs in China: based on the EIO-SDA model |
| title_fullStr | The evolution, characteristics, and driving forces of the rural-urban HCEs in China: based on the EIO-SDA model |
| title_full_unstemmed | The evolution, characteristics, and driving forces of the rural-urban HCEs in China: based on the EIO-SDA model |
| title_short | The evolution, characteristics, and driving forces of the rural-urban HCEs in China: based on the EIO-SDA model |
| title_sort | evolution characteristics and driving forces of the rural urban hces in china based on the eio sda model |
| topic | households’ carbon emissions (HCEs) evolutionary trend characteristics driving forces EIO-SDA model |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2024.1518120/full |
| work_keys_str_mv | AT yangyang theevolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT meijianyang theevolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT jialuo theevolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT zhengzaowang theevolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT yuanyingchi theevolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT yahuichen theevolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT yangyang evolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT meijianyang evolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT jialuo evolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT zhengzaowang evolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT yuanyingchi evolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel AT yahuichen evolutioncharacteristicsanddrivingforcesoftheruralurbanhcesinchinabasedontheeiosdamodel |