Journal of Geographical Sciences ›› 2020, Vol. 30 ›› Issue (5): 743-756.doi: 10.1007/s11442-020-1753-4
• Research Articles • Previous Articles Next Articles
TANG Zhipeng1,2, MEI Ziao1,2, LIU Weidong1,2, XIA Yan3,*()
Received:
2019-12-22
Accepted:
2020-02-20
Online:
2020-05-25
Published:
2020-07-25
Contact:
XIA Yan
E-mail:xiayan@casipm.ac.cn
About author:
Tang Zhipeng (1978–), PhD and Associate Professor, specialized in economic geography and regional sustainable development. E-mail: tangzp@igsnrr.ac.cn
Supported by:
TANG Zhipeng, MEI Ziao, LIU Weidong, XIA Yan. Identification of the key factors affecting Chinese carbon intensity and their historical trends using random forest algorithm[J].Journal of Geographical Sciences, 2020, 30(5): 743-756.
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Table 2
Carbon intensity indicator numbers and corresponding average reductions in Gini coefficient"
Carbon intensity index number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
Gini coefficient reduction | 0.701 | 0.613 | 0.577 | 0.576 | 0.572 | 0.571 | 0.562 | 0.560 |
Carbon intensity index number | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
Gini coefficient reductions | 0.504 | 0.462 | 0.449 | 0.380 | 0.376 | 0.372 | 0.371 | 0.365 |
Carbon intensity index number | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 |
Gini coefficient reductions | 0.362 | 0.341 | 0.327 | 0.283 | 0.241 | 0.185 | 0.177 | 0.176 |
Carbon intensity index number | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 |
Gini coefficient reductions | 0.170 | 0.165 | 0.156 | 0.152 | 0.151 | 0.151 | 0.140 | 0.103 |
Carbon intensity index number | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 |
Gini coefficient reductions | 0.075 | 0.069 | 0.069 | 0.067 | 0.067 | 0.066 | 0.064 | 0.050 |
Carbon intensity index number | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 |
Gini coefficient reductions | 0.050 | 0.049 | 0.035 | 0.034 | 0.034 | 0.034 | 0.034 | 0.033 |
Carbon intensity index number | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 |
Gini coefficient reductions | 0.031 | 0.029 | 0.028 | 0.027 | 0.026 | 0.025 | 0.020 | 0.011 |
Table 3
Numbers of key factors affecting Chinese carbon intensity per category by year between 1980 and 2017 1(1Note: Based on length limitations, Table 3 only lists the statistics for 1980, 2000, 2010, 2016, and 2017; please contact the author for additional data.)"
Category/Year | 1980 | ... | 2000 | ... | 2010 | ... | 2016 | 2017 |
---|---|---|---|---|---|---|---|---|
Proportion of fossil energy | 3 | ... | 0 | ... | 1 | ... | 1 | 2 |
Price of fossil energy | 0 | ... | 0 | ... | 0 | ... | 0 | 0 |
Proportion of renewable energy (hydropower and biogas) | 0 | ... | 0 | ... | 0 | ... | 0 | 1 |
Proportion of new energy | 0 | ... | 0 | ... | 1 | ... | 3 | 2 |
Scale or proportion of energy-intensive industry | 8 | ... | 7 | ... | 6 | ... | 7 | 4 |
Proportion of service industry | 0 | ... | 1 | ... | 2 | ... | 2 | 2 |
Technological progress | 8 | ... | 6 | ... | 4 | ... | 6 | 5 |
Traditional consumption of residents | 3 | ... | 8 | ... | 6 | ... | 2 | 4 |
New consumption of residents | 0 | ... | 0 | ... | 2 | ... | 1 | 2 |
Total | 22 | ... | 22 | ... | 22 | ... | 22 | 22 |
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