埃塞俄比亚小麦生产技术效率的决定因素

Daniel Hailu
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引用次数: 2

摘要

埃塞俄比亚是撒哈拉以南非洲第二大小麦生产国,大多数人依靠雨养农业维持生计。小麦产量从2005年的2176603吨增加到2016年的4219257吨,产量增长51.6%。然而,由于人口的快速增长,这种产量无法满足消费需求,不得不进口小麦。本研究旨在确定埃塞俄比亚小农小麦种植的技术效率。研究的主要目的是考察埃塞俄比亚人口、社会经济和体制因素对小农小麦农民技术效率的影响。本研究采用多阶段抽样技术对2015/16种植季的1611名样本农户进行家庭层面的横断面数据采集。采用随机生产前沿模型和双极限Tobit回归模型分别估算技术效率水平和识别影响技术效率的因素。研究表明,小麦种植户的平均技术效率水平为62%,表明研究区小农之间存在技术效率差异。结果表明,小麦生产者有机会利用现有技术在现有投入水平上提高产量。通过将普通农民转移到生产前沿,每公顷平均产量将增加0.5吨。双极限Tobit回归模型结果表明,种植小麦经验、家庭规模、自有农场劳动力、牲畜规模、推广接触和培训对技术效率有显著的正向影响。远隔麦田对农户技术效率水平有显著负向影响。这表明有必要注意由于有效利用现有技术而产生的生产率提高。因此,研究建议,政策和战略应着眼于通过提高生产过程的效率来提高生产力。
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Determinants of Technical Efficiency in Wheat Production in Ethiopia
Ethiopia is the second largest wheat producing countries in Sub-Saharan Africa and most people rely on rain fed agriculture for their livelihoods. Wheat production has increased from 2,176,603 tons in 2005 to 4,219,257 tons in 2016 with 51.6% production volume increment. However, this production cannot meet the consumption demand and obliged to import wheat because of rapid population growth. This study intended to determine the technical efficiency of smallholder wheat farmers in Ethiopia. The main objective of study was to examine the effect of demographic, socioeconomic and institutional factors on technical efficiency of small holder wheat farmers in Ethiopia. The study used household level cross sectional data collected in 2015/16 cropping season from 1611 sample farmers selected by multistage sampling technique. A stochastic production frontier and two-limit Tobit regression models were used to estimate level of technical efficiency and identify factors affecting technical efficiency respectively. The study indicated that the average technical efficiency level of wheat producing farmers was 62% implying that there was technical efficiency variation among smallholder farmers in the study area. The result implied that there is an opportunity for wheat producers to increase output at existing levels of inputs with present technologies. By shifting the average farmer to the production frontier, the average yield would increase by 0.5 tons per hectare. The two-limit Tobit regression model results showed that experience of growing wheat, family size, own farm labor, livestock size, extension contact and training had positive and significant effect on technical efficiency. However, distant wheat plot have a negative and significance effect on technical efficiency level of the farmers. This suggests attention to productivity gains arising from efficient use of existing technologies is necessary. Therefore, the study suggested, policies and strategies should be directed towards increasing productivity through improving efficiency of the production process.
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