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Spatial-temporal heterogeneity of carbon emissions and influencing factors on household consumption of China |
PENG Lu-lu1, LI Nan1, ZHENG Zhi-yuan1, LI Feng2, WANG Zhen1 |
1. School of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; 2. School of Architecture, Tsinghua University, Beijing 100084, China |
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Abstract It is important to formulate a carbon reduction strategies under the phased and regional characteristics of indirect household consumption carbon emissions (IHCE) in China, especially the new social-economic development circumstance. With the input-output analysis (IOA) and the structural decomposition analysis (SDA), the IHCE of China from 2002 to 2017 was calculated and the contributions of different influencing factors was quantified. Based on which, a geographically weighted regression model (GWR) was used to quantitatively describe spatial-temporal differentiation characteristics of IHCE in provinces. The results showed that the IHCE increased first and then decreased from 2002 to 2017. In that period, food and residence consumption were the main sources of emissions, which accounted 42~48% of contribution. In the new social-economic development circumstance, the negative effects with the direct carbon emission intensity, the production technology and the consumption tendency were significantly strengthened, which greatly offset the positive effects with the income scale, the population and the consumption structure, and the net effect was a decline of 145MtC of the total IHCE. The provincial IHCE showed a decreasing from east to west as well as an agglomeration phenomenon. Furthermore, the influencing factors of carbon emissions showed a spatial heterogeneity. The production technology factor were negatively correlated with IHCE. Other factors were positively correlated with IHCE among which, the population, income scale, and direct carbon emission intensity factors had more prominent impacts on carbon emissions.
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Received: 02 June 2020
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