The impact of socio-economic institutional change on agricultural carbon dioxide emission reduction in China

• Published in: PloS one Vol. 16; no. 5; p. e0251816
• Main Authors: Long, Deng Jie, Tang, Li
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 19.05.2021; Public Library of Science (PLoS)
• Subjects: Agricultural development; Agricultural production; Agriculture; Biology and Life Sciences; Carbon dioxide; Carbon dioxide emissions; Carbon emissions; Climate change; Ecology; Economic development; Economic growth; Economics; Emissions; Emissions (Pollution); Emissions control; Energy consumption; Energy efficiency; Engineering and Technology; Environmental aspects; Environmental economics; Environmental impact; Environmental protection; Greenhouse gases; Impact analysis; Market economies; Marxism; Motivation; People and Places; Physical Sciences; Prevention; Renewable resources; Social classes; Social Sciences; Sustainable development; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0251816

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.