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广西农业碳排放影响因素和趋势预测 被引量:18

Influencing Factors and Trend Forecast of Agricultural Carbon Emission in Guangxi
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摘要 以广西地区农业碳排放量数据为基础,测算广西1999—2017年的农业碳排放量,基于LMDI模型对广西农业碳排放影响因素进行驱动分解,进而运用灰色模型GM(1.1)对广西2018—2025年的农业碳排放进行了预测。测算结果显示,1999—2017年间广西农业碳排放量呈现较为明显的上升-下降、两阶段、三时期变化特征,测算期的年均增长率为1.06%;预测结果表明,2018—2025年广西农业的碳排放量在1250万t^1320万t间呈增加趋势,并据此提出可采取的措施,以有效促进农业碳减排和低碳农业发展,同时为“十三五”时期广西的农业碳减排目标实现提供决策参考。 Based on the data of agricultural carbon emissions in Guangxi,the agricultural carbon emissions of Guangxi in 1999-2017 are calculated.Based on the LMDI model,the influencing factors of agricultural carbon emissions in Guangxi are decomposed,and then the agricultural carbon emissions of Guangxi in 2018-2025 are predicted by using the grey model GM(1.1).The calculation results show that the agricultural carbon emissions in Guangxi during 1999-2017 have obvious characteristics of rising and falling,two-stage and three-stage changes,with an average annual growth rate of 1.06%;the prediction results show that the agricultural carbon emissions in Guangxi will increase between 12.5 million T and 13.2 million T in 2018-2025,based on which the measures can be taken to effectively promote the agricultural carbon emission reduction and the development of low-carbon agriculture provides decision-making reference for the realization of the goal of agricultural carbon emission reduction in Guangxi during the 13th Five Year Plan period.
作者 旷爱萍 胡超 Kuang Aiping;Hu Chao(School of Marxism, Guangxi Normal University, Guilin Guangxi 541006, China)
出处 《西南林业大学学报(社会科学)》 CAS 2020年第2期5-13,共9页 Journal of Southwest Forestry University(Social Sciences)
基金 广西文科中心项目(ZX2017004)资助 广西研究生教育创新计划项目(XYCSR2020028)资助。
关键词 农业 碳排放 强度 驱动因素 LMDI模型 趋势预测 agriculture carbon emission intensity driving factors LMDI model trend prediction
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