中国农业碳中和评价——以2010-2020年为例
Evaluation of agricultural carbon neutrality level in China:case study of 2010-2020
师帅 1周林庆1
作者信息
- 1. 东北农业大学经济管理学院,黑龙江哈尔滨 150030
- 折叠
摘要
精准评估农业碳中和水平是实现我国"双碳"目标的前提.在厘清学术界对农业碳中和研究脉络的基础上,阐释农业碳中和的内涵,并从碳源与碳汇两个维度论述农业碳中和评价的理论架构,设置农业碳中和评价指标体系,采用熵权-TOPSIS法实证评价中国30个省份2010-2020年的农业碳中和水平.结果表明:样本期内农业碳中和水平总体经历了"下降-上升"两个阶段的变化,2010-2016年农业碳中和水平年均下降6.97％,2017-2020年年均增长19.43％.农业碳中和水平呈现出明显的区域差异性,具体表现为东北地区＞西部地区＞中部地区＞东部地区.据此建议各地结合区域农业碳源、碳汇的结构特征、自然特性与经济发展水平,统筹兼顾,从"减排"与"增汇"两手发力,协同推进农业碳中和进程.
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 in-dex 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％an-nually in 2017-2020.The level of agricultural carbon neutrality exhibited obvious regional differences,and de-creased 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 re-duction"and"sink increase"to promote the process of carbon neutrality.
关键词
农业碳中和/熵权-TOPSIS法/减排增汇Key words
agricultural carbon neutrality/entropy-weighted TOPSIS method/emission reduction and sink increase引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据