A Review of Malmquist Productivity Index and Data Envelopment Analysis

Abstract

As an important method of measuring distance function, Data Envelopment Analysis has greatly promoted the related research of Malmquist Productivity Index. The combination of the two is one of the mainstream methods for calculating total factor productivity, which has been used by Chinese and foreign scholars in many fields such as economics, medical care, policy, and education. This article reviews and sorts out related literature of Malmquist Productivity Index and Data Envelopment Analysis.