At present, the scale of China-ASEAN trade cooperation has expanded, and its impact on China’s carbon emissions should not be underestimated. The LMDI method was used to study China’s carbon emissions from 2013 to 2022 using China-ASEAN trade as an influencing factor. The results show that the energy carbon emission intensity effect, the import trade effect of China and ASEAN, the economic development level effect, the terms of trade effect and the population size effect are the factors that promote carbon emissions. The energy intensity effect and the counter-effect of China-ASEAN export trade are the factors that inhibit carbon emissions. In order to reduce the impact of various factors on carbon emissions, it is necessary to optimize the industrial structure, develop and use energy-saving technologies, improve the terms of trade between the two sides and optimize import trade.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |