农民生产苔麸、玉米和高粱技术效率的决定因素:来自提格雷中央区的经验证据

Hagos Weldegebriel
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引用次数: 13

摘要

本研究旨在考察提格雷中部地区农民在苔麸、玉米和高粱生产方面的技术效率。该研究使用了从2014年种植季节采用概率和非概率抽样技术结合选择的农户样本收集的原始数据。单步随机前沿生产模型分别用于苔麸、玉米和高粱的生产。基于随机前沿模型的回归输出,没有证据表明农民在高粱生产中存在技术无效率。在苔麸和玉米的生产中发现了技术效率低下的证据,尽管苔麸的预测效率低下水平是无穷小的(不到1%)。因此,苔麸和高粱生产中实际产量与前沿产量的偏差是恶劣天气、干旱等农民无法控制的随机因素的结果。高粱和苔麸产量低的原因不是农民技术效率低,而是农民现有技术水平低。因此,提高这两种作物的产量需要改变目前的技术水平。只有玉米生产的农民被发现技术上效率低下,预计效率可能提高4.5%。农民在玉米生产中的技术无效率在三个大洲之间存在显著差异;Werie-Lekhe的效率最高,约为11%,其次是来来-麦舍和科拉-腾本,效率分别为6%和0%。玉米的低效率水平、苔麸的低效率和高粱的不存在低效率与上述证据相悖。这可能是由于因变量和解释变量的选择不同。此外,由于培训和推广服务,农民在过去几年中可能已经改善了投入物的使用。此外,与之前的证据相比,以人日为单位的劳动投入被发现是正的和显著的,这意味着研究区域的农业没有受到零或负边际生产率的过剩劳动的影响。最后,次优技术采用(化肥用量低于或高于标准需要量)不会影响苔麸和高粱的产量,但会降低玉米产量。此外,关于现代投入物使用的培训、获得信贷的机会、主要作物的虚拟模型和灌溉被发现是玉米生产技术效率的重要决定因素。因此,农民在玉米生产中应使用标准量的肥料,在所有作物中,专业化优于多样化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Determinants of Technical Efficiency of Farmers in Teff, Maize and Sorghum Production: empirical Evidence from Central Zone of Tigray Region
This study is made to examine the technical efficiency of farmers in Teff, Maize, and Sorghum production in the Central Zone of Tigray. The study used primary data collected from a sample of farm households selected using a combination of probability and non-probability sampling techniques in the 2014 cropping season. A single step stochastic frontier production model is used for Teff, Maize, and Sorghum production separately. Based on the regression output of the stochastic frontier models, there is no evidence of technical inefficiency of farmers in the production of Sorghum. Evidence of technical inefficiency is found in the production of Teff and Maize though the predicted level of inefficiency in Teff is infinitesimal (less than 1%). Therefore, the deviation of actual output from the frontier output in Teff and Sorghum production is the result of the stochastic factors beyond the control of the farmers such as bad weather, drought, and the like. The reason behind low level of output in Sorghum and Teff production is not technical inefficiency of farmers but the low level of the current technology available to the farmers. Therefore, increasing output in these two crops requires shifting the current level of technology. Only farmers in Maize production are found to be technically inefficient with a predicted possibility of 4.5% efficiency gains. The technical inefficiency of farmers in maize production significantly differs across the three Woredas; Werie-Lekhe with the highest inefficiency of about 11% followed by Lailai-Maichew and Kola-Temben with inefficiencies of 6% and 0% respectively. The low level of technical inefficiency in Maize, bare evidence of inefficiency in Teff and the nonexistence of inefficiency in Sorghum production are against the preceding evidences. This might be due to the difference in the choice of the dependent and explanatory variables. Moreover, the farmers might have improved their input use over the last couple of years due to training and extension services. Moreover, labor input measured in man days is found to be positive and significant in contrast to the preceding evidences implying agriculture in the study area not subjected to excess labor with zero or negative marginal productivity. Finally, suboptimal technology adoption [the use of fertilizers below or above the standard amount required] doesn’t affect output in Teff and Sorghum production but it tends to reduce output in Maize production. Moreover, training on modern input use, access for credit, the dummy for main crop, and irrigation are found to be significant determinants of technical efficiency in Maize production. Therefore, farmers should use the standard amount of fertilizer in Maize production and specialization is superior to diversification in all crops.
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