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A Hybrid Framework for Direct CO2 Emissions Quantification in China's Construction Sector
Adedayo Johnson Ogungbile1, Geoffrey Qiping Shen1, Ibrahim Yahaya Wuni1
1Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China.
China’s construction industry has inconsistent carbon emission data. This study quantifies regional direct CO2 emissions using economic and environmental data, identifying North China as the largest emitter and highlighting coal and oil as primary energy sources.
Area of Science:
- Environmental Science
- Economics
- Energy Policy
Background:
- Inconsistent carbon emission quantifications in China due to varied standards and methods.
- Lack of China-specific technology and databases hinders comprehensive CO2 emission assessment.
- Need for accurate regional direct CO2 emission data in the construction industry.
Purpose of the Study:
- To comprehensively quantify regional direct CO2 emissions in China's construction industry.
- To develop regression models integrating economic and environmental data for emission analysis.
- To identify key energy sources and regional emission hotspots within the industry.
Main Methods:
- Collected provincial energy yearbook data (1997-2015) on fossil fuels and electricity.
- Integrated econometric data: total construction output, cement, and steel consumption.
- Developed regression models for six regional construction industries in China.
Main Results:
- North China identified as the primary source of direct CO2 emissions (>30%); Southeast China contributed the least.
- Coal and crude oil remain dominant energy sources despite a gradual shift to alternatives.
- Cement and steel consumption showed a significant predictive relationship with CO2 emissions in five regions.
Conclusions:
- Tailored policies are needed for technological improvements to boost renewable energy in construction.
- Developed models can aid initial carbon emission quantification for similar industries.
- Future research should extend economic indicators for more robust emission models.
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