摘要
通过灰关联熵量化农业投入对农业产出的贡献,以探求在保证粮食产出的基础上,减少农业能源投入的科学路径。结论表明:农田灌溉、化肥、农药投入对粮食产出影响较大,但效率偏低;机械和机械用油投入的加大预示着农业生产效率的提高,可以弥补农业劳动力缺口。因此,目前中国在保证粮食产量基础上,减少农业能源投入的合理路径是提高灌溉、化肥、农药等农业能源投入的利用效率,并加速向有机化、精细化和低投入方向转变。
With gray relational entropy analysis,this paper attempts to seek reasonable path to reduce energy input on the basis of assurance of agricultural output by quantifying the contribution of energy inputs to agricultural output.Conclusion shows that irrigation,chemical fertilizers and pesticides put a greater impact on agricultural output,but efficiency is low;agricultural machinery improves efficiency of agricultural production,and makes up the gap of labor force lacking.Therefore,on the basis of ensuring food production,in order to reduce agricultural energy inputs,the efficiency of irrigation,fertilizers,pesticides and other agricultural inputs should be improved,and the transformation to organic,fine and low-input agricultural production should be accelerated.
出处
《财贸研究》
CSSCI
北大核心
2012年第2期45-53,共9页
Finance and Trade Research
基金
教育部哲学社会科学青年基金项目"化石能源投入与农业产出
温室气体排放:相关性研究及国际比较"(10YJC790199)
教育部人文社科项目"农户低碳生产决策行为研究:基于太湖流域水环境保护的视角"(11YJC790057)的资助同时受泸州老窖集团有限公司资助
关键词
灰关联熵
农业投入
能源投入
粮食产出
gray relational entropy analysis
agricultural inputs
energy inputs
food output
