| 江西省农业碳排放变化特征及其驱动因素分析 |
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| 引用本文： | 陆荣军,陈胜东.江西省农业碳排放变化特征及其驱动因素分析[J].现代农业科技,2023(12). |
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| 作者姓名： | 陆荣军 陈胜东 |
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| 作者单位： | 江西财经大学经济学院,江西财经大学经济学院 南昌 |
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| 基金项目： | 江西省高校人文社会科学研究项目“双碳目标下江西省农业碳减排实现路径研究”(JJ21116)第一作者陆荣军(2000-),男,安徽蚌埠人,江西财经大学经济学院,硕士生,研究方向生态经济与环境政策。E-mail: 2914986846@qq.com通讯作者陈胜东(1975-),男,江西抚州人,江西财经大学经济学院,博士,副教授,研究方向生态经济学。E-mail: csd9952@163.com * |
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| 摘 要： | 农业碳减排作为应对气候变化研究的重要内容,一直是相关研究领域的热点?借鉴IPCC和其他研究机构、学者提供的碳排放因子系数,从农业物资投入、农地活动、水稻种植、牲畜养殖等12种主要碳源,测算了江西省2001-2020年农业碳排放量,并利用LMDI分解法将农业碳排放驱动因素分解为效率因素、结构因素、经济发因素、劳动力因素。结果表明：江西省农业碳排放总量从2001-2020年呈波动下降-上升-下降-持续上升-持续下降的变化趋势,并在2016年达到顶峰。相比于2001年,农业碳排放量增长20.68%,农业碳排放强度下降47.75%；效率因素与劳动力因素对农业碳排放有抑制作用,分别减少351.02%、426.26%的碳排放量。结构因素与经济因素对农业碳排放有促进作用,分别增加33.55%、843.92%的碳排放量。文章最后就农业碳减排措施提出了针对性建议。
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| 关 键 词： | 农业碳排放 变化特征 LMDI分解模型 |
| 收稿时间： | 2022/9/24 0:00:00 |
| 修稿时间： | 2022/9/24 0:00:00 |
Analysis on the change characteristics and driving factors of agricultural carbon emission in Jiangxi Province |
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| Abstract: | As an important part of climate change research, agricultural carbon emission reduction has always been a hot spot in relevant research fields. Based on the carbon emission factor coefficients provided by IPCC and other research institutions and scholars, the agricultural carbon emission of Jiangxi Province from 2001 to 2020 is calculated from 12 main carbon sources such as agricultural material input, agricultural land activities, rice planting and livestock breeding, and the driving factors of agricultural carbon emission are decomposed into efficiency factors by LMDI decomposition method Structural factors, economic development factors and labor factors. The results show that the total agricultural carbon emissions in Jiangxi Province showed a fluctuating downward upward downward continuous upward downward trend from 2001 to 2020, and reached the peak in 2016. Compared with 2001, agricultural carbon emissions increased by 20.68%, and the intensity of agricultural carbon emissions decreased by 47.75%; Efficiency factor and labor factor have inhibitory effect on agricultural carbon emissions, reducing carbon emissions by 351.02% and 426.26% respectively. Structural factors and economic factors can promote agricultural carbon emissions, increasing carbon emissions by 33.55% and 843.92% respectively. Finally, the paper puts forward targeted suggestions on agricultural carbon emission reduction measures. |
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| Keywords: | Agricultural carbon emission Change characteristics LMDI decomposition model |
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