An Analysis on the Determinants Affecting Productive Efficiency of Myanmar Rice Farms: An Appraisal using Bootstrapping DEA-Based Efficiency Measures

This paper examines the determinants affecting productive efficiency of rice farms in a selected area of Myanmar, using farm-level survey data. For representation of efficiency and its determinants, this paper uses a model of Simar and Wilson’s(2007) data envelopment analysis(DEA) bootstrap procedure. In the first stage, bootstrapped DEA-variable returns to scale (VRS) model is employed to estimate the technical efficiency of rice farms. In the second stage, the bootstrap DEA scores are regressed against a set of farm specific variables using a truncated regression analysis. The empirical evidence finds that farm size, share of family labor and modernized farm mechanization positively and significantly influence on the level of technical efficiency of the sample farms.