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• W4283075244 abstract "Studies have shown that household consumption accounts for more than 60% of global greenhouse gas (GHG) emissions. Reducing household CO2 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." @default.
• W4283075244 created "2022-06-19" @default.
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• W4283075244 date "2022-06-16" @default.
• W4283075244 modified "2023-09-30" @default.
• W4283075244 title "City-Level Determinants of Household CO2 Emissions per Person: An Empirical Study Based on a Large Survey in China" @default.
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• W4283075244 doi "https://doi.org/10.3390/land11060925" @default.
• W4283075244 hasPublicationYear "2022" @default.
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