주요 작물의 생산성 결정요인 분석 - 한국 미작농가를 중심으로 Two-stage DEA 모형을 이용해서

This study aims to measure the agricultural productivity of rice farmers and empirically analyze determinants on the productivity changes at the farm household level using Two-stage DEA model. In the first-stage, the productivity is calculated by Malmquist productivity index. In the second-stage, it is considered as the dependent variable in the two-way error component fixed effect panel model to define its determinants. The research results revealed: 1) The productivity shrinked over the analysis period, and it is attributed to retrogressive technical change. 2) In the panel analysis, the planted size is the only variable among the farm owner properties having a statistically significant effect and positively influencing on the productivity. It means that the larger the rice farming land, the higher the productivity. The improved productivity would lead to increase the rice revenues. Therefore, the policy and the effort making the arable land enlarged would be required to enhance productivity at the farm level.