Year: 2024
Type: article
Abstract: Efficiency is one of the important aspects for farmers as a measuring tool to carry out the selection of production decisions against available alternatives. There are several differences in efficiency at the farm level, one of the efficiency that needs to be considered is technical efficiency. One of the efficiencies that needs to be considered is technical efficiency, but technical efficiency is rarely found in organic vegetable farmers. This study aims to analyze the level of technical efficiency of organic caisim farming and analyze the factors that affect the technical efficiency of organic caisim farming in Organic Farming (PORKAB) Sumberejo Village, Batu City. This research uses Data Envelopment Analysis (DEA) approach through Variable Return to Scale (VRS) input model to analize the technical efficiency of organic caisim farming. Tobit Regression Analysis was used to analyze the factors that affect the technical efficiency of organic caisim farming. The results of the analysis show that the average level of technical efficiency of respondent farmers in PORKAB in Sumberejo Village is 0.737. This condition shows that the average farmer has not yet reached the green range category. So that the majority of the use of production inputs by organic caisim farmers has not been technically efficient. Tobit regression analysis showed that the farmer's age variable had a significant and negative effect on the technical efficiency of organic caisim farming, while the experience farming variable had a significant and positive effect on the technical efficiency of organic caisim farming. Meanwhile, the variables of farmers' education level, and the number of family members of farmers did not significantly affect the technical efficiency of organic caisim farming.
Authors: Florida Apolinaris, Ana Arifatus Sa'diyah, Ayu Wulandari, Gatot Suliana, Appuwa Wedalage Sudarshani Lakmali
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4409745486