The Estimation of Production Function and Technical Efficiency Shallot Farming

M. Fajar, Oktya Putri Gitaningtyas, Muhammad Muhtoni, Purwaning Dhahari
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引用次数: 1

Abstract

Shallot is one of the potential horticultural commodities. The purpose of this study is to estimate the production function and efficiency of shallot farming. The method used in the study is the estimation of production functions using stochastic frontier. The data used in this study were shallot production (kg), harvested area (m2), labor used (HOK), use of seeds (kg), fertilizer (kg), pesticides used (kg), sourced from SHR2014 which conducted by the Central Statistics Agency. In the estimation process, all variables are transformed by natural logarithms. The results showed that the estimation of the function of shallot production for both the dry season and the wet season with independent variables included harvested area, labor, seeds, fertilizers, and significant pesticides in the model, so that formed model was valid for further use. The average technical efficiency of shallot farming in the dry and wet season is 0.6626 and 0.6627, respectively, which means that in general, shallot farming in Indonesia is not efficient on the technical side. That is, there are indications that the optimal processing technology of production inputs in the business has not been carried out optimally.
大葱养殖的生产函数与技术效率估算
大葱是一种潜在的园艺商品。本研究的目的是估计大葱养殖的生产函数和效率。研究中使用的方法是利用随机前沿估计生产函数。本研究使用的数据为大葱产量(kg)、收获面积(m2)、劳动力使用量(HOK)、种子使用量(kg)、肥料使用量(kg)、农药使用量(kg),数据来源于中央统计局进行的SHR2014。在估计过程中,所有变量都用自然对数进行变换。结果表明,模型中包含收获面积、劳动力、种子、肥料和重要农药等自变量的干季和湿季大葱产量函数估计,所形成的模型是有效的,可供进一步使用。干季和湿季大葱种植的平均技术效率分别为0.6626和0.6627,这意味着印度尼西亚的大葱种植总体上在技术方面效率不高。也就是说,有迹象表明企业生产投入的最优加工技术没有得到最优的执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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