Analysis of cassava farming efficiency as a supporter of post-COVID-19 rural economic changes in wonogiri regency

Abstract

Cassava farming, as an important commodity in agriculture in Wonogiri Regency, is necessary for structural changes in the rural economy of Wonogiri Regency in postCOVID-19 conditions. This study aims to determine the level of efficiency and analyse the elasticity of cassava farming. The Data Envelopment Analysis is used in analysing the efficiency of cassava farming, while multiple linear regression analysis is used in analysing production elasticity. The results of Data Envelopment Analysis with an inputoriented model in the study show that farmers have a level of technical efficiency of 64.6%, allocative efficiency of 47.1%, and economic efficiency of 30%. Farmers who are not efficient can increase their efficiency value by using cassava farming inputs. The elasticity of the production of seedlings, manure, SP36 fertilizer, Phonska fertilizer, urea fertilizer, pesticides, and labour is positive. The scale of business results show that farming is in a condition of increasing returns to scale. The addition of production factors has a positive effect on cassava production. However, if production factors are not considered, it will result in additional inputs, decreasing yields. Optimal use of inputs can increase the production scale of cassava farming and increase efficiency. This study can be helpful for the farmers to increase the efficiency level through the efficient use of inputs. They can be helpful for the government in the formulation of rural development plans with farming development and implementing policies to increase the efficiency