Abstract

In this study, the methods of the Malmquist index analysis, global spatial autocorrelation analysis and local spatial autocorrelation are used to calculate and analyze the temporal and spatial evolution of the Forestry Total Factor Productivity based on the data from 30 provinces in China from 1997 to 2012 by using the software DEAP2.1, DeoDa, ArcGIS. The results show the following: The Forestry Total Factor Productivity presented obvious fluctuations in temporal patterns but presented stable characteristics in spatial patterns; The Forestry Total Factor Productivity showed the characteristics of discrete distribution from 1997 to 2003 and showed the characteristics of concentrated distribution from 2003 to 2012; The Forestry Total Factor Productivity in China presented obvious binary space structure; The high value agglomeration area gradually had become concentrated in the Shandong, Jiangsu and Zhejiang provinces and low concentration areas were mainly distributed in Gansu, Qinghai, Szechwan and other surrounding provinces. The main reasons for spatial distribution of Forestry Total Factor Productivity in China were the differences of macro-policy on forestry, lacking and changing of investments in forestry science and technology, the difference of forestry resource distribution and unbalanced regional economic development level.

Keywords:

Forestry total factor productivity, regional disparity, temporal-spatial evolution,

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