Environmental Kuznets curve of carbon emissions from China’s forest products industry and decomposition of factors influencing carbon emissions

Bing Han, Jinzhuo Wu
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Abstract

Carbon emissions from China’s forest products industry were considered based on the data of 2001-2020. Then a carbon emissions Kuznets curve was constructed to judge the relationship between the economic development level and carbon emissions. The logarithmic mean Divisia index (LMDI) was used to analyze the influencing factors of carbon emissions. The carbon emissions from China’s forest products industry showed a trend of rapid growth in the early stage and slow decline in the later stage, increasing from 19.46 million tonnes in 2001 to 54.18 million tonnes in 2020. Consumption of raw coal was the main reason for the increase in carbon emissions. There was an inverted-U relationship between the economic development level and carbon emissions, and the industry output value of CNY 3306.56 billion was the theoretical inflection point. The current economic development level of the industry was in the left-half part of the inverted “U” shape, indicating that carbon emissions from this industry will continue to increase with the increase of industrial output. Economic development was the key factor driving the increase of carbon emissions in the forest products industry, while the energy intensity was the key factor inhibiting the growth of carbon emissions.
中国林产工业碳排放的环境库兹涅茨曲线及碳排放影响因素分解
根据 2001-2020 年的数据,考虑了中国林产工业的碳排放量。然后构建了碳排放库兹涅茨曲线,以判断经济发展水平与碳排放之间的关系。采用对数平均迪维西亚指数(LMDI)分析碳排放的影响因素。中国林产工业碳排放量呈现前期快速增长、后期缓慢下降的趋势,从 2001 年的 1946 万吨增加到 2020 年的 5418 万吨。原煤消耗是碳排放量增加的主要原因。经济发展水平与碳排放量呈倒 "U "型关系,33065.6 亿元的行业产值是理论上的拐点。目前该行业的经济发展水平处于倒 "U "型的左半部,表明该行业的碳排放量将随着工业产值的增加而继续增加。经济发展是推动林产品行业碳排放量增长的关键因素,而能源强度则是抑制碳排放量增长的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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