中国生态农业学报（中英文）2025，Vol.33Issue(3)：424-434,11.DOI:10.12357/cjea.20240236
基于LMDI模型的辽宁省农业碳排放效率及驱动因素分析
Analysis of the agricultural carbon emissions efficiency and driving factors in Liaoning Province based on the LMDI model
摘要
Abstract
To scientifically calculate the agricultural carbon emission intensity and carbon reduction potential in Liaoning Province,a calculation system for agricultural carbon emissions was constructed based on statistical data from 2000 to 2021,covering five aspects,namely agricultural material input,agricultural land use,soil carbon emissions,rice planting,and livestock and poultry farm-ing,and accounting for 20 types of carbon sources.Carbon emissions were calculated using the carbon source coefficient method.The super-efficiency slacks-based measure(SBM)model was employed to measure the agricultural carbon emission efficiency and the slack amount of input indicators in Liaoning Province.Furthermore,the logarithmic mean divisia index(LMDI)model was used to decompose the main driving factors of agricultural carbon emissions,including agricultural production efficiency,agricultural in-dustrial structure,agricultural economic development level,urbanization level,and agricultural labor force scale,calculate their con-tribution values,and explore the carbon emission benefits.Results indicated that over the 22-year period,the total agricultural carbon emissions in Liaoning Province continued to increase during the first 11 years and exhibited reduced fluctuations during the last 11 years,while the agricultural carbon emission intensity exhibited decreasing volatility.The annual average contributions to agricultural carbon emissions from sources such as agricultural material input,agricultural land use,soil carbon emissions,rice planting,and live-stock and poultry farming were 36.72%,0.23%,11.36%,5.12%,and 46.58%,respectively.Over the 22-year period,the agricultural carbon emission efficiency increased from 0.19 to 1.04 primarily because of the continuous optimization of input indicators,which manifested as a year-by-year reduction in slack amounts for indicators such as the employment in agriculture,crop planting area,total agricultural machinery power,effective irrigation area,amount of chemical fertilizer applied,amount of agricultural film used,and pesticide usage.The driving factors of agricultural carbon emissions were found to be the agricultural economic development level and agricultural labor force scale,with cumulative carbon emission effects of 8.71×107(46.02%)and 0.27×107(1.41%)t,respe-ctively.The driving factors for carbon reduction were the agricultural production efficiency,agricultural industrial structure,and urb-anization level,with cumulative carbon emission effects of-9.60×107(50.69%),-0.24×107(1.26%),and-0.12×107(0.61%)t,re-spectively.It is recommended that low-carbon,high-quality agricultural development in Liaoning Province be achieved by reducing fertilizer usage in crop cultivation,optimizing livestock and poultry farming management,improving the agricultural technical effi-ciency,rationally adjusting the operational scale,and promoting agricultural structural adjustments.关键词
农业碳排放/碳排放效率/驱动因素/超效率SBM模型/LMDI模型Key words
agricultural carbon emissions/carbon emission efficiency/driving factor/super-efficiency SBM model/LMDI model分类
经济学引用本文复制引用
黄天阳,谢立勇,邓天乐,祖天时,赵洪亮,郭李萍,王鑫彤..基于LMDI模型的辽宁省农业碳排放效率及驱动因素分析[J].中国生态农业学报（中英文）,2025,33(3):424-434,11.基金项目
辽宁省科技攻关项目(2024JH2/102600167)和国家自然科学基金项目(41875141)资助 This study was supported by Liaoning Province Science and Technology Research Project(2024JH2/102600167)and the National Natural Science Foundation of China(41875141). （2024JH2/102600167）
