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What is the Driving Mechanism for the Carbon Emissions in the Building Sector? An Integrated Dematel-Ism Model

16 references·1 citing·54 second hopsampled

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References

2017Drivers of carbon emission intensity change in China445 cited
2014Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach433 cited
2016Interpretive Structural Modeling based factor analysis on the implementation of Emission Trading System in the Chinese building sector227 cited
2022Spatial correlation network structure of China's building carbon emissions and its driving factors: A social network analysis method212 cited
2020Will the urbanization process influence the peak of carbon emissions in the building sector? A dynamic scenario simulation192 cited
2012Analysis of regional difference on impact factors of China’s energy – Related CO2 emissions187 cited
2017Future scenarios for energy consumption and carbon emissions due to demographic transitions in Chinese households184 cited
2021Nonlinear influence of urbanization on China's urban residential building carbon emissions: New evidence from panel threshold model172 cited
2020Evaluating Sustainable Lean Six Sigma enablers using fuzzy DEMATEL: A case of an Indian manufacturing organization147 cited
2021The impact of China's low-carbon transition on economy, society and energy in 2030 based on CO2 emissions drivers145 cited
2015Study on affecting factors of residential energy consumption in urban and rural Jiangsu123 cited
2021Provinces with transitions in industrial structure and energy mix performed best in climate change mitigation in China123 cited

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2023

Can new-type urbanization reduce urban building carbon emissions? New evidence from China

115 cited

2023Timetable and roadmap for achieving carbon peak and carbon neutrality of China's building sector113 cited

2021Using system dynamics to analyse key factors influencing China's energy-related CO2 emissions and emission reduction scenarios98 cited

2020Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data97 cited

Cited by

2024Assessment and regression of carbon emissions from the building and construction sector in China: A provincial study using machine learning66 cited