基于碳排放量测算的低碳农业绩效与减排成本评估  

Performance and Reduction Cost Evaluation on Low-carbon Agriculture Based on Carbon Emission Calculation

作　　者：李琦[1] 韩亚芬[1] 

机构地区：[1]宿州学院环境与测绘工程学院,安徽宿州234000

出　　处：《洛阳理工学院学报（自然科学版）》2016年第2期1-5,44,共6页Journal of Luoyang Institute of Science and Technology：Natural Science Edition

基　　金：国家自然科学青年基金项目(41302274)

摘　　要：为了深入认识区域农业碳排放水平差异,利用碳排放估算公式测算出安徽省16个地市的农业碳排放量,进而通过标准DDF模型和影子价格指标对其低碳农业绩效水平和边际减排成本进行评估。结果表明:各地市农业碳排放量差异显著,呈现北高南低特征;农用化肥使用和土壤翻耕是引发区域农业碳排放的主要碳源;大多数(13个)地市为低碳农业中等绩效区,仅合肥和马鞍山处于生产前沿面上,说明安徽省农业发展当前处于中等低碳水平;各地市的边际碳减排成本与低碳农业绩效水平关系密切,表现为随着绩效水平的提升,其边际减排成本不断增长。In order to deeply understand the spatial variation of agriculture carbon emission level,in this paper,the carbon emissions of16 different cities in Anhui province were calculated,and then the low-carbon agricultural performance and carbon reduction costs were estimated,using the standard DDF model and the theory of shadow price. The results show that agriculture carbon emission in different regions varied wildly,and it has the feature of＂higher in north-lower in south＂. Chemical fertilizer consumption and soil tillage are the main carbon sources in agricultural production system. Most of the cities belong to the middle performance area of low-carbon agriculture,while only Hefei and Ma＇anshan are at the forefront of production,which illustrates that the agriculture in Anhui province is at a moderate level of low-carbon. Marginal costs of carbon reduction in the 16 cities are closely related to the performance level of low-carbon agriculture,and it displays that the marginal cost is increased continually along with the promotion of performance level.

关 键 词：农业碳排放 边际减排成本 方向距离函数 区域差异 

分 类 号：X51[环境科学与工程—环境工程]