Dynamic Correlation Analysis of Forestry Industrial Structure Based on Grey Correlation Degree——Take Inner Mongolia Autonomous Region as an Example
Based on the statistical data from 2016 to 2020,using the gray correlation analysis method,the correlation between the total value of forestry industry and the output value of the three forestry industries in Inner Mongolia Autonomous Region was first quantitatively analyzedto clarify the industrial development situation.The results showed that the forestry industry in Inner Mongolia Autonomous Region was characterized by the following characteristics The results showed that the forestry industry in Inner Mongolia is dominated by the traditional primary industry,which contributes the most to the total output value,and the primary industry is dominated by traditional industries such as planting and collecting;The secondary industry has the weakest correlation and is dominated by timber and economic forest fruit processing,etc.,with a low level of development and relatively limited development space;the tertiary industry has a smaller pulling effect on the forestry industry than the primary industry in general,but has shown a rapid upward trend in recent years and is expected to become a key driving point for the growth of the total output value of the forestry industry.Based on this,the optimization of forestry industry structure in Inner Mongolia Autonomous Region in terms of developing advantageous industries was suggested,which can promot industrial integration and strengthen scientific and technological innovation.
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