"双碳"背景下濮阳市农业碳排放脱钩分析与影响因素OA
Decoupling Analysis and Influence of Agricultural Carbon Emissions in Puyang City under Dual Carbon Background
基于《濮阳统计年鉴》的时序数据,采用碳排放系数法测算 2009-2021 年濮阳市农业碳排放量,运用Tapio 脱钩模型分析其与经济增长的脱钩关系,结合 LMDI 模型分解碳排放的主要驱动因素,为地区实现农业绿色低碳发展提供参考.结果表明:2009-2021 年濮阳市农业碳排放呈"升-降-升-降"的态势,年均排放量为 33.55×104t,2018年达峰值(43.70×104t),2021 年降至30.23×104t(较 2018 年下降 30.82%);碳排放强度 2009-2016 年下降,2017-2018年小幅回升,2018-2021 年持续降至研究期最低值(0.1078t·万元-1),表明农业低碳化转型成效显著.碳排放结构以化肥为主(占比 73.51%),其次为农用塑料薄膜(11.35%)、农用柴油(5.88%)和农药(5.78%)等.脱钩状态呈阶段性特征,具体表现为 2010-2014 年以弱脱钩为主,2015-2016 年转为强脱钩,2017-2018年出现负脱钩,2019-2021 年恢复强脱钩.LMDI 分解显示,农业生产效率(贡献率 33.78%)、地区产业结构(10.02%)、劳动力规模(3.15%)是碳减排的主要驱动因素,而地区经济发展(44.69%)、城镇化(7.02%)、农业产业结构(1.34%)则对碳排放增长起正向作用.研究认为,需通过技术创新、结构调整、提升农户低碳能力等措施,推动濮阳市农业低碳高质量发展.
Based on time-series data from the Puyang Statistical Yearbook,this study employed the carbon emission coefficient method to estimate agricultural carbon emissions in Puyang city over the past 13 years(2009-2021).The Tapio decoupling model was applied to analyze the decoupling relationship between agricultural carbon emissions and economic growth,while the LMDI decomposition method was used to identify key driving factors,providing theoretical references for the development of green and low-carbon agriculture.The results showed that agricultural carbon emissions exhibited a fluctuating trend of"increase-decrease-increase-decrease,"with an annual average of 33.55×104t.Emissions peaked in 2018(43.70×104t)and declined to 30.23×104t by 2021(a 30.82%reduction from 2018).Carbon emission intensity showed a consistent downward trend from 2009 to 2016 followed by a temporary rebound during the 2017-2018 period.Subsequently,it continued to decline from 2018 to 2021,reaching the study-period minimum of 0.1078t·10-4yuan in 2021,reflecting significant progress in Puyang's agricultural low-carbon transformation.The emission structure was dominated by chemical fertilizers(73.51%),followed by agricultural plastic films(11.35%),diesel(5.88%)and pesticides(5.78%)and so on.The decoupling relationship evolved in stages:weak decoupling dominated in 2010-2014,followed by strong decoupling(2015-2016),negative decoupling(2017-2018)and a return to strong decoupling(2019-2021).LMDI decomposition revealed that agricultural production efficiency(33.78%),regional industrial structure(10.02%)and labor scale(3.15%)were the primary drivers of emission reduction,whereas regional economic growth(44.69%),urbanization(7.02%)and agricultural structure(1.34%)contributed to emission increases.Based on the research findings,it is recommended to promote low-carbon and high-quality agricultural development in Puyang city through technological innovation,structural optimization and enhancing the low-carbon production capacity of farmers.
刘晓帆;郭慧;赵婷婷;牛娜;刘娟;岳振国;李洁;刘海礁;张力;张静静;马盼盼;崔亚男;靳艳革
濮阳市农林科学院,濮阳 457000濮阳市农林科学院,濮阳 457000濮阳市农林科学院,濮阳 457000濮阳市农林科学院,濮阳 457000河南省农业科学院花生研究所,郑州 450002濮阳市农林科学院,濮阳 457000濮阳市农林科学院,濮阳 457000河南省农业科学院花生研究所,郑州 450002濮阳市农林科学院,濮阳 457000河南省农业科学院花生研究所,郑州 450002濮阳市农林科学院,濮阳 457000河南省农业科学院花生研究所,郑州 450002濮阳市农林科学院,濮阳 457000
农业碳排放Tapio脱钩LMDI模型濮阳市
Agricultural carbon emissionsTapio decouplingLMDI modelPuyang city
《中国农业气象》 2026 (9)
1388-1399,12
濮阳市重大科技专项项目(240210)国家现代农业产业技术体系项目(CARS-13)河南省重点研发与推广专项(科技攻关)项目(242102111072)
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