School of Marxism, Hefei University of Technology, Hefei, China.
PLoS One. 2021 May 19;16(5):e0251816. doi: 10.1371/journal.pone.0251816. eCollection 2021.
With the change of social economic system and the rapid growth of agricultural economy in China, the amount of agricultural energy consumption and carbon dioxide emissions has increased dramatically. Based on the estimation of agricultural carbon dioxide emissions from 1991 to 2018 in China, this paper uses EKC model to analyze economic growth and agricultural carbon dioxide emissions. The Kaya method is used to decompose the factors affecting agricultural carbon dioxide emissions. The experimental results show that there is a co-integration relationship between economic growth and the total intensity of agricultural carbon emissions, and between economic growth and the intensity of carbon emissions caused by five types of carbon sources: fertilizer, pesticide, agricultural film, agricultural diesel oil and tillage. Economic growth is the main driving factor of agricultural carbon dioxide emissions. In addition, technological progress has a strong role in promoting carbon emission reduction, but it has a certain randomness. However, the impact of energy consumption structure and population size on carbon emissions is not obvious.
随着中国社会经济体制的转变和农业经济的快速增长,农业能源消耗和二氧化碳排放量急剧增加。基于对 1991 年至 2018 年中国农业二氧化碳排放量的估算,本文采用 EKC 模型对经济增长与农业二氧化碳排放进行分析。利用 Kaya 方法对影响农业二氧化碳排放的因素进行分解。实验结果表明,经济增长与农业二氧化碳排放总量强度之间,以及经济增长与化肥、农药、农膜、农业柴油和耕作五种碳源引起的碳排放强度之间存在协整关系。经济增长是农业二氧化碳排放的主要驱动因素。此外,技术进步在促进减排方面发挥了强大作用,但具有一定的随机性。然而,能源消费结构和人口规模对碳排放的影响并不明显。