Acta Agriculturae Zhejiangensis ›› 2024, Vol. 36 ›› Issue (8): 1920-1933.DOI: 10.3969/j.issn.1004-1524.20230749

• Agricultural Economy and Development • Previous Articles     Next Articles

Evaluation of agricultural carbon neutrality level in China: case study of 2010-2020

SHI Shuai(), ZHOU Linqing   

  1. College of Economics and Management, Northeast Agricultural University, Harbin 150030, China
  • Received:2023-06-08 Online:2024-08-25 Published:2024-09-06

Abstract:

Accurately assessing the level of agricultural carbon neutrality is a prerequisite to realize China’s “double carbon” goal. In the present study, the connotation of agricultural carbon neutrality was explained on the basis of clarifying the academic research progress on agricultural carbon neutrality. The theoretical framework of agricultural carbon neutrality evaluation was constructed from the dimensions of carbon sources and sinks, and the evaluation index system of agricultural carbon neutrality was set up. The entropy-weighted TOPSIS method was used to empirically evaluate the level of agricultural carbon neutrality in 30 provincial administrative regions in China from 2010 to 2020. It was shown that the agricultural carbon neutrality level during the sample period decreased first and then increased. In 2010-2016, the agricultural carbon neutrality level decreased by 6.97% annually, yet increased by 19.43% annually in 2017-2020. The level of agricultural carbon neutrality exhibited obvious regional differences, and decreased in the order of the northeast region>the western region>the central region>the eastern region. Thus, it was suggested that the overall consideration should be made according to the structural characters of agricultural carbon sources and sinks, natural characters and economic development, and efforts should be paid from both “emission reduction” and “sink increase” to promote the process of carbon neutrality.

Key words: agricultural carbon neutrality, entropy-weighted TOPSIS method, emission reduction and sink increase

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