摘要:为促进江苏省低碳农业工程的建设,降低农业碳排放,建立并完善农业碳减排的体系。本文通过梳理近年来国内外相关学者对碳排放的研究成果,从农业物资的投入角度,重点测算和分析江苏省2006年至2015年的农业碳排放的总量和强度情况,以及各碳源结构组成情况。在此基础上,通过扩展的Kaya恒等式,采用灰色关联分析法,计算出七个驱动因素与农业碳排放的关联度。结果发现农业经济水平因素(SI)、农业劳动力规模因素(AL)、农业结构因素(CI)、农业碳排放效率因素(EI)、农业总产值、农业技术人员和农业能源消费总量的关联度分别为0.611、0.892、0.971、0.783、0.682、0.917、0.896。28355 毕业论文关键词:农业碳排放;驱动因素;碳排放;江苏省
Jiangsu Province Agricultural Carbon Emissions Stage Characteristics and Driving Factors Analysis Based on input
Abstract:In order to promote the construction of low-carbon agriculture project in Jiangsu Province, reducing agricultural carbon emissions, establish and improve the agricultural carbon emission reduction system, by reviewing the recent domestic and foreign scholars on the research results of carbon emissions and focus on measurement and analysis of Jiangsu province from 2006 to 2015 the agricultural carbon the composition of emissions,. On this basis, the correlation between seven factors and agricultural carbon emissions was calculated by using the extended Kaya equation and grey relational analysis method. The factors of agricultural economic level (SI), agricultural labor force scale (AL), agricultural structure factors (CI), agricultural carbon emission efficiency (EI) and correlation of total output value of agriculture, agricultural technicians and agricultural total energy consumption were 0.611, 0.892, 0.971, 0.783, 0.682, 0.917, 0.896.
Key words: Agricultural carbon emissions; driving factors; carbon emissions;Jiangsu Province
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