City-Level Determinants of Household CO<sub>2</sub> Emissions per Person: An Empirical Study Based on a Large Survey in China
Studies have shown that household consumption accounts for more than 60% of global greenhouse gas (GHG) emissions. Reducing household CO<sub>2</sub> emissions (HCEs) can help combat climate change globally and can provide a wide range of environmental, financial and public health benefit...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/6/925 |
| _version_ | 1797485393495457792 |
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| author | Jiansheng Qu Lina Liu Jingjing Zeng Tek Narayan Maraseni Zhiqiang Zhang |
| author_facet | Jiansheng Qu Lina Liu Jingjing Zeng Tek Narayan Maraseni Zhiqiang Zhang |
| author_sort | Jiansheng Qu |
| collection | DOAJ |
| description | Studies have shown that household consumption accounts for more than 60% of global greenhouse gas (GHG) emissions. Reducing household CO<sub>2</sub> emissions (HCEs) can help combat climate change globally and can provide a wide range of environmental, financial and public health benefits. Here, we present data from a large survey on 14,928 households in eighty-eight Chinese cities to investigate the spatial patterns in HCEs per person (PHCEs) and the drivers behind these patterns based on a multi-scale geographically weighted regression (MGWR) model. We found that higher PHCEs were mainly in northern cities with a severe and cold climate. Our findings suggest that PHCEs could be modeled as a function of household size, education level, income level, consumption tendency and HCEs intensity. HCEs intensity was identified as the most important determinant, and its effect increased from eastern cities to central and western cities in China. The quantification of city-level PHCEs and their drivers help policy makers to make fair and equitable GHG mitigation polices, and they help achieve many of the United Nations Sustainable Development Goals, including affordable and clean energy, sustainable cities and communities, and climate action. |
| first_indexed | 2024-03-09T23:18:09Z |
| format | Article |
| id | doaj.art-fccb6deadb734d84a4e3f53d85af8ad0 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T23:18:09Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-fccb6deadb734d84a4e3f53d85af8ad02023-11-23T17:32:58ZengMDPI AGLand2073-445X2022-06-0111692510.3390/land11060925City-Level Determinants of Household CO<sub>2</sub> Emissions per Person: An Empirical Study Based on a Large Survey in ChinaJiansheng Qu0Lina Liu1Jingjing Zeng2Tek Narayan Maraseni3Zhiqiang Zhang4Northwest Institute of Eco–Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaNorthwest Institute of Eco–Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaNorthwest Institute of Eco–Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaCentre for Sustainable Agricultural Systems, University of Southern Queensland, Toowoomba, QLD 4350, AustraliaChengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041, ChinaStudies have shown that household consumption accounts for more than 60% of global greenhouse gas (GHG) emissions. Reducing household CO<sub>2</sub> emissions (HCEs) can help combat climate change globally and can provide a wide range of environmental, financial and public health benefits. Here, we present data from a large survey on 14,928 households in eighty-eight Chinese cities to investigate the spatial patterns in HCEs per person (PHCEs) and the drivers behind these patterns based on a multi-scale geographically weighted regression (MGWR) model. We found that higher PHCEs were mainly in northern cities with a severe and cold climate. Our findings suggest that PHCEs could be modeled as a function of household size, education level, income level, consumption tendency and HCEs intensity. HCEs intensity was identified as the most important determinant, and its effect increased from eastern cities to central and western cities in China. The quantification of city-level PHCEs and their drivers help policy makers to make fair and equitable GHG mitigation polices, and they help achieve many of the United Nations Sustainable Development Goals, including affordable and clean energy, sustainable cities and communities, and climate action.https://www.mdpi.com/2073-445X/11/6/925household CO<sub>2</sub> emissions (HCEs)cityspatial patterndeterminant |
| spellingShingle | Jiansheng Qu Lina Liu Jingjing Zeng Tek Narayan Maraseni Zhiqiang Zhang City-Level Determinants of Household CO<sub>2</sub> Emissions per Person: An Empirical Study Based on a Large Survey in China Land household CO<sub>2</sub> emissions (HCEs) city spatial pattern determinant |
| title | City-Level Determinants of Household CO<sub>2</sub> Emissions per Person: An Empirical Study Based on a Large Survey in China |
| title_full | City-Level Determinants of Household CO<sub>2</sub> Emissions per Person: An Empirical Study Based on a Large Survey in China |
| title_fullStr | City-Level Determinants of Household CO<sub>2</sub> Emissions per Person: An Empirical Study Based on a Large Survey in China |
| title_full_unstemmed | City-Level Determinants of Household CO<sub>2</sub> Emissions per Person: An Empirical Study Based on a Large Survey in China |
| title_short | City-Level Determinants of Household CO<sub>2</sub> Emissions per Person: An Empirical Study Based on a Large Survey in China |
| title_sort | city level determinants of household co sub 2 sub emissions per person an empirical study based on a large survey in china |
| topic | household CO<sub>2</sub> emissions (HCEs) city spatial pattern determinant |
| url | https://www.mdpi.com/2073-445X/11/6/925 |
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