Efficiency of cassava farming with an input-output analysis approach in the Wonogiri Regency, Indonesia

Abstract

Wonogiri Regency was the area with the highest cassava production in Central Java in 2021, but the level of productivity is lower than the national productivity. The level of productivity is related to the inefficiency of inputs. The purpose of this study is to analyze the efficiency of cassava farming through the relationship between the inputs and outputs of cassava and socioeconomic factor which affects the efficiency. The basic method of the research is descriptive and quantitative, with primary data from 105 cassava farmers. Input-output analysis of the efficiency level use approach of Data Envelopment Analysis (DEA) and analysis of socioeconomic factors affecting the efficiency level with Tobit’s regression. The input-output analysis with DEA results showed that 32% of cassava farmers in Wonogiri were already technically efficient, with an average value of 0.855. Increasing productivity through efficiency can be done by reducing the use of slack inputs, especially in the seed, organic fertilizer, and urea fertilizer. The Tobit regression results showed that farmers’ experience, education, and participation in the farmers’ group positively affected cassava’s efficiency in the Wonogiri Regency. The study’s implication is to increase farmer groups’ role in providing information on the efficient use of inputs needed to increase cassava productivity.