DOI: 10.15986/j.1008-7192.2020.03.008
近年来耕地资源减少、水资源污染严重、自然资源制约等问题日益凸显,为降低农业生产成本,进而提高农业生产效率,分析农业资源要素的投入产出至关重要。选取安徽省16个地级市作为决策单元,采用DEA-BCC模型和超效率DEA模型对16个地级市样本地区的农业资源要素的6个具体投入产出指标进行有效性分析,结果表明安徽省有6个地级市未达到DEA有效水平,并对DEA无效的决策单元进一步进行投影分析,估计了无效单元投入要素的径向调整和松弛调整,找出其无效原因,提出农业资源投入优化调整方向,发现农业机械、劳动力、化肥三个要素冗余率整体较高,利用率低。最后在实证检验的基础上,提出相应的对策建议,为安徽省农业资源利用效率的提高提供决策参考。
In recent years, problems such as the reduction of cultivated land resources, the severe water pollution, and the constraints of natural resources have become increasingly prominent. In order to reduce agricultural production costs and thereby improve agricultural production efficiency, it is important for us to analyze the input and output of agricultural resource elements. By using the DEA-BCC model and super-efficiency DEA model the paper analyzes the effectiveness of 6 specific input-output indicators of agricultural resource elements in 16 prefecture-level sample cities in Anhui Province which are taken as decision-making units. The results show that 6 prefecture-level cities in the province have not reached the effective level of DEA. Having performed a further projection analysis on the decision-making units with invalid DEA, the paper estimates the radial adjustment and relaxation adjustment on the input elements of the invalid units and finds out the causes of their invalidity. Besides, it points out the optimizing direction of agricultural resource input to solve the problem of higher redundancy rate and lower utilization rate in such three elements as agricultural machinery, labor, and fertilizer. Finally, on the basis of empirical tests, corresponding countermeasures are proposed to provide decision-making references to improve the efficiency of agricultural resource utilization in Anhui Province.
