TY - JOUR
T1 - Consumption-based emissions at city level in China and the spatial heterogeneity analysis of the influential factors
AU - Wang, Yuan
AU - Pan, Zhou
AU - Zhang, Lanxin
AU - Lu, Yaling
AU - Zhang, Zengkai
AU - Ren, Jingzheng
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant numbers: 41871211, 71974141, 71834004).
Acknowledgements:
This work is financially supported by the National Natural Science Foundation of China (41871211, 71974141, 71834004).
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2023/3
Y1 - 2023/3
N2 - It is of great significance to identify the critical influential factors of pollutant emissions for emission mitigation. However, city disparity implies different priorities for regional mitigation. This study aims to estimate the consumption-based emissions of 309 prefecture-level cities in China based on the multi-region input–output table and the sectoral NOx emission inventory and investigate the emission transfer phenomenon among cities and sectors. In addition, a geographically weighted regression method is used to analyze the spatial heterogeneity in the driving factors of regional consumption-based emissions. The results reveal that the top 10 cities in consumption-based emissions account for 25.2% of emissions and contribute 22.6% to GDP. The consumption-based emissions are mainly driven by local demand (72.79%) at the regional level and by construction activities (94.43%) at the sectoral level. Besides, the results also show the spatial variances in contributions of driving forces to consumption-based emissions. Economic growth has been identified as the most important factor which promotes consumption-based emissions. However, disposable personal income, per capita road area, urbanization, and percentage of tertiary industry GDP are conducive to reduce consumption-based emissions in some cities of China. It could be concluded that policies without consideration of the emissions from a consumption perspective are difficult to achieve effective emission reduction.
AB - It is of great significance to identify the critical influential factors of pollutant emissions for emission mitigation. However, city disparity implies different priorities for regional mitigation. This study aims to estimate the consumption-based emissions of 309 prefecture-level cities in China based on the multi-region input–output table and the sectoral NOx emission inventory and investigate the emission transfer phenomenon among cities and sectors. In addition, a geographically weighted regression method is used to analyze the spatial heterogeneity in the driving factors of regional consumption-based emissions. The results reveal that the top 10 cities in consumption-based emissions account for 25.2% of emissions and contribute 22.6% to GDP. The consumption-based emissions are mainly driven by local demand (72.79%) at the regional level and by construction activities (94.43%) at the sectoral level. Besides, the results also show the spatial variances in contributions of driving forces to consumption-based emissions. Economic growth has been identified as the most important factor which promotes consumption-based emissions. However, disposable personal income, per capita road area, urbanization, and percentage of tertiary industry GDP are conducive to reduce consumption-based emissions in some cities of China. It could be concluded that policies without consideration of the emissions from a consumption perspective are difficult to achieve effective emission reduction.
KW - Air pollutants
KW - Consumption-based emissions
KW - Geographically weighted regression (GWR)
KW - Multi-region input–output model (MRIO)
KW - Spatial heterogeneity
UR - http://www.scopus.com/inward/record.url?scp=85142212171&partnerID=8YFLogxK
U2 - 10.1007/s11356-022-24118-x
DO - 10.1007/s11356-022-24118-x
M3 - Journal article
C2 - 36402880
AN - SCOPUS:85142212171
SN - 0944-1344
VL - 30
SP - 28961
EP - 28974
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
IS - 11
ER -