Abstract

Research on Temporal-spatial Evolution of Regional Disparity of Forestry Total Factor Productivity in China

Highlights

  • In recent years, the development of forestry in China has grown quickly with the increase of forestry gross output from RMB 191.82 billion to RMB 3.95 trillion, accounting for 2.4 and 7.6% in the proportion of Gross Domestic Product (GDP) from 1997 to 2012

  • The highest point of the Forestry Total Factor Productivity appeared in 2006-2007, when it increased by 21% and the lowest point appeared in 2003-2004, when it decreased by 32.6%

  • The results show as follow: First, the Forestry Total Factor Productivity in China shows the phenomenon of obvious fluctuations from 1997 to 2012 mainly due to the technology change

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Summary

INTRODUCTION

The development of forestry in China has grown quickly with the increase of forestry gross output from RMB 191.82 billion to RMB 3.95 trillion, accounting for 2.4 and 7.6% in the proportion of Gross Domestic Product (GDP) from 1997 to 2012. The Forestry Total Factor Productivity, an index used for measuring total output per input in the process of forestry production, could fully reflect the forestry production efficiency in the condition of technology changes (Yang and Yang, 2013). The current research on forestry efficiency, which is mainly measuring the Forestry Total Factor Productivity by using traditional time series data and panel data, showed a trend of diversification, but it still did not pay attention to the spatial correlation of forestry productivity in China. The input and output data that cover 1998 to 2012 were adjusted into the actual data based on 1997 according to the Index of Investment in Fixed Assets and Index of Regional Gross Domestic Product. The input variables and output variables will be used in order to calculate the Forestry Total Factor Productivity. This study chose the Forestry Employment and Forestry Fixed Asset Investment as input variables because the statistics of China's forestry land area are released every 5 years and chose two variables, the Forestry Gross Output and the Afforestation Area, as the output index

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