中国碳排放强度关键因子数据集（1980-2017年）
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基于1980-2017年中国煤炭比重、石油比重、天然气比重、水电比重、风电比重、核能比重、光伏比重、光热比重、地热比重、液体生物燃料比重、沼气比重、纯碱、烧碱、乙烯、合成氨、水泥、平板玻璃等56个影响因子数据，代入随机森林模型，计算得到不同年份、不同类型影响因子的熵值，识别中国1980-2017年碳排放强度关键因子。
Based on 56 impact factor datasets covering the proportions of coal, petroleum, natural gas, hydropower, wind power, nuclear energy, photovoltaic (PV), concentrated solar power (CSP), geothermal energy, liquid biofuels, and biogas in China’s energy structure, along with data on soda ash, caustic soda, ethylene, synthetic ammonia, cement and flat glass from 1980 to 2017, we employed the random forest model to calculate the entropy values of different types of impact factors across various years, and identified the key factors influencing China’s carbon emission intensity during 1980–2017.
