An Empirical Study on the Measurement of Forestry Total Factor Productivity Based on DEA Malmquist Model

Abstract

Based on the forestry total factor productivity of 31 provinces in China from 1997 to 2020, this study uses the DEA Malmquist model to measure its forestry total factor productivity. The results show that the overall development trend of forestry total factor productivity in China is fluctuating and rising, and the main driving force of growth comes from technological change; from other influencing factors, the reduction in human investment, the rationalization of industrial structure and the improvement of the level of scientific, and technological and economic development can also effectively improve the total factor productivity of forestry.