Study on Spatiotemporal Characteristics of the Impacting Factors of Agricultural Carbon Emissions Based on the GTWR Model: Evidence from the Yellow River Basin, China

• Published in: Nature environment and pollution technology Vol. 21; no. 2; pp. 607 - 615
• Main Authors: Huang, Haifeng, Zhu, Ni
• Format: Journal Article
• Language: English
• Published: Karad Technoscience Publications 01.06.2022
• Subjects: Agricultural land; Agricultural production; Agriculture; Animal husbandry; Breeding of animals; Burning; Carbon; Carbon sources; Cereal crops; Crop planting; Crops; Emission analysis; Emission measurements; Emissions; Emissions control; Generalized method of moments; Greenhouse effect; Greenhouse gases; Land use; Livestock; Pesticides; Plant breeding; Planting; Rice; River basins; Rivers; Straw; yellow river basin, agricultural carbon emissions, impacting factors, gtwr, spatiotemporal characteristics; China; Yellow River
• ISSN: 2395-3454; 0972-6268; 2395-3454
• DOI: 10.46488/NEPT.2022.v21i02.019

Scholars have turned their attention to the ecological protection and high-quality development of China’s Yellow River Basin in recent years. The basin is a major agricultural production area in China, hence investigating agricultural carbon emission reduction strategies in the basin is crucial. The research object in this article is the agricultural departmen.ts of China’s nine provinces in the Yellow River Basin from 2005 to 2018. Agricultural carbon emissions are measured using agricultural land usage, rice planting, crop planting, straw burning, and livestock breeding as agricultural carbon sources. In addition, the GTWR model is used to examine the spatiotemporal aspects of the impact of five factors on agricultural carbon emissions in this paper. The findings reveal that the five factors have varying degrees and directions of influence.