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Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data
16 references·4 citing·50 second hop
Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data (2020)Prioritizing driving factors of household…An introduction to the China Family Panel Studies (CFPS) (2026)An introduction to the China …Intertemporal lifestyle changes and carbon emissions: Evidence from a China household survey (2020)Intertemporal lifestyle chang…Machine learning in energy economics and finance: A review (2019)Machine learning in energy ec…Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors? (2019)Forecasting crude oil prices …The heterogeneous effects of urbanization and income inequality on CO2 emissions in BRICS economies: evidence from panel quantile regression (2018)The heterogeneous effects of …Can urbanization process and carbon emission abatement be harmonious? 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References

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  • 2016Assessment of impacts of Hubei Pilot emission trading schemes in China – A CGE-analysis using TermCO2 model208 cited
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  • 2012The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050172 cited

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2020
Intertemporal lifestyle changes and carbon emissions: Evidence from a China household survey
135 cited
  • 2018The heterogeneous effects of urbanization and income inequality on CO2 emissions in BRICS economies: evidence from panel quantile regression133 cited
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    • 2022What is the Driving Mechanism for the Carbon Emissions in the Building Sector? An Integrated Dematel-Ism Model70 cited
    • 2024How does green finance reduce China's carbon emissions by fostering green technology innovation?69 cited
    • 2024Where and how machine learning plays a role in climate finance research24 cited