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分析中国纸浆和造纸业碳排放的影响因素及碳达峰预测。

Analysis on influencing factors of carbon emissions from China's pulp and paper industry and carbon peaking prediction.

机构信息

Jinshan College, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, People's Republic of China.

出版信息

Environ Sci Pollut Res Int. 2023 Aug;30(37):86790-86803. doi: 10.1007/s11356-023-28483-z. Epub 2023 Jul 6.

DOI:10.1007/s11356-023-28483-z
PMID:37410328
Abstract

China's pulp and paper industry (CPPI) has been always the main carbon emission source in recent years. However, the analysis on influencing factors of carbon emissions from this industry is insufficient. To address the issue, the CO emissions from CPPI are estimated in the period of 2005-2019, the driving factors of CO emissions are investigated by the logarithmic mean Divisia index (LMDI) method, the decoupling state of economic growth and CO emissions is determined by Tapio decoupling model, and finally, future CO emissions are predicted under four scenarios by the STIRPAT model to explore the potential of carbon peaking. The results show that CPPI exhibits a rapid increase and a fluctuating downward trend in CO emissions during the period of 2005-2013 and 2014-2019, respectively. The main promoting and inhibiting factors to the increase of CO emission are per capita industrial output value and energy intensity, respectively. There are five decoupling states of CO emissions and economic growth during the study period, and the CO emissions exhibit a weak decoupling state with the industrial output value growth in most years of the study period. It is very difficult to realize the carbon peaking goal by 2030 under the baseline and fast development scenarios. Therefore, efficient low carbon and strong low-carbon development policies are necessary and urgent for the realization of carbon peaking goal and the sustainable development of CPPI.

摘要

中国的制浆造纸工业(CPPI)一直是近年来的主要碳排放源。然而,对该行业碳排放影响因素的分析还不够充分。为了解决这个问题,本研究采用对数平均迪氏指数(LMDI)法对 CPPI 2005-2019 年的 CO 排放进行了估算,采用 Tapio 脱钩模型确定了经济增长与 CO 排放的脱钩状态,最后采用 STIRPAT 模型在四个情景下对未来 CO 排放进行了预测,以探讨碳峰值的潜力。结果表明,CPPI 的 CO 排放量在 2005-2013 年期间呈快速增长和波动下降趋势,在 2014-2019 年期间呈波动下降趋势。人均工业产值和能源强度是 CO 排放增长的主要促进和抑制因素。在研究期间,CO 排放和经济增长存在五种脱钩状态,在研究期间的大多数年份,CO 排放与工业产值增长呈弱脱钩状态。在基准和快速发展情景下,到 2030 年实现碳峰值目标非常困难。因此,为了实现碳峰值目标和 CPPI 的可持续发展,需要并迫切需要采取高效的低碳和强低碳发展政策。

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