Economies of Scale Analysis in Robusta Coffee Production Using Regression in Balik Bukit

Abstract

The agricultural sector plays a vital role in national economic development, particularly in employment provision and its contribution to the Gross Domestic Product (GDP). One of the leading subsectors is coffee, especially robusta, which is a major commodity in several regions of Indonesia, including West Lampung Regency. Although this region has relatively high coffee productivity compared to other areas, fluctuations in production trends and limitations in the management of production factors highlight the need for an in-depth analysis of the determinants of coffee production. This study aims to analyze the effects of the number of coffee trees, labor, land area, and fertilizer use on robusta coffee production in Balik Bukit District, West Lampung Regency. The method used is multiple linear regression with primary data collected from 70 coffee farmers. The results show that all independent variables have a positive and significant effect on coffee production. The number of coffee trees contributes 22.59%, labor 14.67%, land area 80.46%, and fertilizer use 9.73% to production increases. The obtained R² value of 0.701 indicates that 70% of the variation in production can be explained by these variables. These findings imply the need to improve production capacity through better management of these factors to enhance the welfare of coffee farmers.