Biomass Resources and Emission Reduction Potential of Agricultural and Livestock Residues in Mainland China from 2013 to 2022

Kaishu Luo, Min Li, Xinjie Wang, Yi Fan and Jinhui Zhao ()
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Kaishu Luo: Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
Min Li: Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
Xinjie Wang: Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
Yi Fan: College of Materials Science and Engineering, Beihua University, Jilin 132013, China
Jinhui Zhao: Normal School, Hubei University, Wuhan 430062, China

Sustainability, 2024, vol. 16, issue 15, 1-16

Abstract: Controlling carbon emissions is a global goal, and China is actively implementing carbon reduction measures. As a major agricultural nation, China has considerable potential for developing agricultural residues as renewable and environmentally friendly biomass energy. In this study, we obtained data on crop yields, crop-to-grain ratios, and livestock excretion coefficients to calculate the biomass resources of agricultural and livestock residues in Chinese provinces from 2013 to 2022. Crop residue biomass resources showed a distribution pattern with higher levels in the north than in the south and the east than in the west. Henan and Heilongjiang provinces consistently had the highest resource levels, exceeding 35 million tons annually for 10 years. The biomass resources from livestock residues were relatively abundant in Sichuan, Henan, Yunnan, Shandong, Hunan, and Inner Mongolia. Inner Mongolia, Sichuan, Shandong, and Henan had the greatest potential for CO 2 emission reductions, primarily located in regions abundant in biomass resources and with high traditional energy consumption levels. ArcGIS was used to apply natural break classification to categorize the potential for emission reductions from agricultural and livestock residues across China from 2013 to 2022 into five classes. Based on factors such as crop planting area and livestock numbers, the spatiotemporal distribution of factors influencing the quantity of biomass resources was examined using Geographically and Temporally Weighted Regression. A tailored and integrated approach should be used for biomass, and the development of biomass energy should be promoted through policy support and technological innovation.

Keywords: biomass resources from agricultural and livestock residues; spatiotemporal distribution patterns; carbon emission reduction potential zoning; Geographically and Temporally Weighted Regression; influencing factors (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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