Carbon footprint heterogeneity across elderly groups in China
Assessing the elderly’s environmental impact is crucial as aging deepens. This paper incorporates age heterogeneity and urban-rural heterogeneity within the elderly into the study of aging’s impact on the environment, dividing the elderly population into four subgroups. Utilizing an environmentally...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | Environmental Research Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2515-7620/ada5b4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841533691916976128 |
|---|---|
| author | Yunyue Wang Yafei Wang |
| author_facet | Yunyue Wang Yafei Wang |
| author_sort | Yunyue Wang |
| collection | DOAJ |
| description | Assessing the elderly’s environmental impact is crucial as aging deepens. This paper incorporates age heterogeneity and urban-rural heterogeneity within the elderly into the study of aging’s impact on the environment, dividing the elderly population into four subgroups. Utilizing an environmentally extended multi-region input-output(EE-MRIO) model and data from 12,000 households, the carbon footprints of four subgroups was calculated. Findings reveal significant urban-rural and age-related heterogeneities in carbon emissions among those aged 60 and above. Urban elderly have higher per capita carbon footprints than rural elderly, and ‘the younger elderly’ have higher footprints than ‘the oldest old’. This heterogeneity extends to carbon footprint’s distribution: Urban elderly lean towards enjoyable consumption, while rural elderly prioritize survival. ‘The younger elderly’ have a greater carbon footprint from transport. This paper nests Chinese and global EE-MRIO, showing that global economies are more impacted by China’s elderly demand than mainland China itself. Furthermore, urban-rural structure has a greater impact on global carbon emissions compared to age structures. |
| format | Article |
| id | doaj-art-1353ba12f64f4a55a81f8c234ac290da |
| institution | Kabale University |
| issn | 2515-7620 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Communications |
| spelling | doaj-art-1353ba12f64f4a55a81f8c234ac290da2025-01-15T02:55:13ZengIOP PublishingEnvironmental Research Communications2515-76202025-01-017101100310.1088/2515-7620/ada5b4Carbon footprint heterogeneity across elderly groups in ChinaYunyue Wang0https://orcid.org/0009-0004-6082-9184Yafei Wang1School of Statistics, Beijing Normal University , Beijing 100875, People’s Republic of ChinaSchool of Statistics, Beijing Normal University , Beijing 100875, People’s Republic of ChinaAssessing the elderly’s environmental impact is crucial as aging deepens. This paper incorporates age heterogeneity and urban-rural heterogeneity within the elderly into the study of aging’s impact on the environment, dividing the elderly population into four subgroups. Utilizing an environmentally extended multi-region input-output(EE-MRIO) model and data from 12,000 households, the carbon footprints of four subgroups was calculated. Findings reveal significant urban-rural and age-related heterogeneities in carbon emissions among those aged 60 and above. Urban elderly have higher per capita carbon footprints than rural elderly, and ‘the younger elderly’ have higher footprints than ‘the oldest old’. This heterogeneity extends to carbon footprint’s distribution: Urban elderly lean towards enjoyable consumption, while rural elderly prioritize survival. ‘The younger elderly’ have a greater carbon footprint from transport. This paper nests Chinese and global EE-MRIO, showing that global economies are more impacted by China’s elderly demand than mainland China itself. Furthermore, urban-rural structure has a greater impact on global carbon emissions compared to age structures.https://doi.org/10.1088/2515-7620/ada5b4population agingcarbon footprintheterogeneous elderlyinput–output analysisEE-MRIO |
| spellingShingle | Yunyue Wang Yafei Wang Carbon footprint heterogeneity across elderly groups in China Environmental Research Communications population aging carbon footprint heterogeneous elderly input–output analysis EE-MRIO |
| title | Carbon footprint heterogeneity across elderly groups in China |
| title_full | Carbon footprint heterogeneity across elderly groups in China |
| title_fullStr | Carbon footprint heterogeneity across elderly groups in China |
| title_full_unstemmed | Carbon footprint heterogeneity across elderly groups in China |
| title_short | Carbon footprint heterogeneity across elderly groups in China |
| title_sort | carbon footprint heterogeneity across elderly groups in china |
| topic | population aging carbon footprint heterogeneous elderly input–output analysis EE-MRIO |
| url | https://doi.org/10.1088/2515-7620/ada5b4 |
| work_keys_str_mv | AT yunyuewang carbonfootprintheterogeneityacrosselderlygroupsinchina AT yafeiwang carbonfootprintheterogeneityacrosselderlygroupsinchina |