辽宁生猪养殖碳排放的影响因素与未来预估OA
Influencing Factors and Future Projections of Carbon Emissions from Pig Farming in Liaoning Province
为明确辽宁省生猪养殖碳排放特征及其与经济发展的关系、影响因素和未来变化趋势,本研究基于2003-2022 年辽宁省生猪养殖数据,运用 IPCC 系数法测算辽宁省生猪养殖碳排放总量和强度,运用 Tapio 脱钩模型,分析生猪养殖碳排放与生猪养殖产值的脱钩状态,使用 Kaya 恒等式和 LMDI 模型,分析辽宁生猪养殖碳排放的影响因素,运用 STIRPAT 模型预估2023-2030 年辽宁生猪养殖碳排放量.结果表明:(1)碳排放主要来源于粪便管理系统,粪便管理 CH4 排放占比 28.40%,粪便管理 N2O排放占比 63.49%.辽宁省生猪养殖碳排放强度在 2003-2009 年大幅下降,2009-2017 年小幅波动、总体平稳,2018-2022 年波动显著,呈"上升-下降-上升"趋势.(2)2003-2022 年辽宁省生猪养殖碳排放的脱钩状态以弱脱钩和弱负脱钩为主.猪肉价格上涨和养殖规模扩大是增加生猪养殖碳排放的主要因素,效率因素、产业结构和农业人口抑制了生猪养殖碳排放量的增加.(3)基于 2003-2022 年辽宁省猪肉价格,设定辽宁省猪肉价格保持 2.0%、5.3%、8.0%的年平均增长率情景,2023-2030 年辽宁省生猪养殖碳排放量均呈增长趋势(P<0.01),3 种情景下分别增长10.81%、9.65%和 7.17%.综上所述,辽宁省需通过支持优质生猪品种的引进与繁育、优化生猪粪便处理技术、调控养殖规模及强化效率、健全生猪养殖碳减排政策法规与监管体系和建立生猪市场供需预警机制等政策支持,以实现生猪养殖业的低碳转型.
To clarify the characteristics of the carbon emissions from pig farming in Liaoning and their relationship to economic development,influencing factors and future trends,this study used data on pig farming in Liaoning from 2003 to 2022.The total carbon emissions and intensity of pig farming in Liaoning were calculated using the IPCC coefficient method.The Tapio decoupling model was used to analyze the state of decoupling between pig farming carbon emissions and output value.The Kaya identity and LMDI model were applied to examine the influencing factors of pig farming carbon emissions,and the STIRPAT model was used to forecast pig farming carbon emissions from 2023 to 2030.The results showed that:(1)carbon emissions primarily originated from manure management systems,with CH4 emissions accounting for 28.40%and N2O emissions accounting for 63.49%.The carbon emission intensity of pig farming in Liaoning province significantly decreased from 2003 to 2009,experienced minor fluctuations and remained relatively stable from 2008 to 2017,and showed notable volatility from 2018 to 2022,following an"upward-downward-upward"trend.(2)From 2003 to 2022,the decoupling state of pig farming carbon emissions in Liaoning province was predominantly characterized by weak decoupling and weak negative decoupling.Pork prices and the size of the farming scale were the main factors that increased carbon emissions from pig farming,while efficiency factors,industrial structure and agricultural population suppressed the increase.(3)Based on pork prices in Liaoning from 2003 to 2022,three scenarios were established,including annual growth rates of 2.0%,5.3%and 8.0%,predicting that pig farming carbon emissions in Liaoning would follow an upward trend from 2023 to 2030(P<0.01).Under the low-growth,baseline and high-growth scenarios,emissions would increase by 10.81%,9.65%and 7.17%,respectively.To achieve a low-carbon transformation in the pig farming industry,it needs to implement policies such as supporting the introduction and breeding of high-quality pig breeds,optimizing manure treatment technologies,regulating farming scale,enhancing efficiency,improving carbon emission reduction policies and regulatory frameworks,and establishing a market supply-demand early warning mechanism for the pig farming sector.
赵洪亮;王媛;谢立勇
沈阳农业大学经济管理学院,沈阳 110161沈阳农业大学经济管理学院,沈阳 110161沈阳农业大学农学院,沈阳 110161
生猪养殖碳排放脱钩效应LMDI模型STIRPAT模型
Pig farmingCarbon emissionsDecoupling effectLMDI modelSTIRPAT model
《中国农业气象》 2026 (8)
1186-1196,11
辽宁省社会科学规划基金重大委托项目(L2SZD019)
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