2014Unpublished venueRequires access

Analysis of Forestry Industrial Structure of Zhangwu County

Zhang Xiao-na

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Abstract

Using the data from 2006 to 2012 Zhangwu County forestry output value as statistics,Analysis of changes in the structure of the forestry industry. Using of grey correlation analysis method to calculate the forestry industry structure gray correlation,Analysis Zhangwu County forestry industrial structure status and dynamic change,identifying three industries and industry internal strengths and weaknesses factors,application of gray prediction model GM( 1,1) to predict 2013 to 2017 Zhangwu County forestry output value. Studies have shown that: Zhangwu County forestry output value of the maximum of correlation is the second industry,and the third industry correlation is the weakest.Within various industries,the first industry correlation maximum is flower industry,the second industry is man-made board manufacturing industry,the third industry is forestry management and other public service organizations. In the next five years,the second forestry industry will be rapid development,the first industry develops slowly,the third industry develops lag.

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What this paper is about

Using the data from 2006 to 2012 Zhangwu County forestry output value as statistics,Analysis of changes in the structure of the forestry industry. Using of grey correlation analysis method to calculate the forestry industry structure gray correlation,Analysis Zhangwu County forestry industrial structure status and dynamic change,identifying three industries and industry internal strengths and weaknesses factors,application of gray prediction model GM( 1,1) to predict 2013 to 2017 Zhangwu County forestry output value. Studies have shown that: Zhangwu County forestry output value of the maximum of correlation is the second industry,and the third industry correlation is the weakest.Within various industries,the first industry correlation maximum is flower industry,the second industry is man-made board manufacturing industry,the third industry is forestry management and other public service organizations. In the next five years,the second forestry industry will be rapid development,the first industry develops slowly,the third industry develops lag.

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Available abstract

Using the data from 2006 to 2012 Zhangwu County forestry output value as statistics,Analysis of changes in the structure of the forestry industry. Using of grey correlation analysis method to calculate the forestry industry structure gray correlation,Analysis Zhangwu County forestry industrial structure status and dynamic change,identifying three industries and industry internal strengths and weaknesses factors,application of gray prediction model GM( 1,1) to predict 2013 to 2017 Zhangwu County forestry output value. Studies have shown that: Zhangwu County forestry output value of the maximum of correlation is the second industry,and the third industry correlation is the weakest.Within various industries,the first industry correlation maximum is flower industry,the second industry is man-made board manufacturing industry,the third industry is forestry management and other public service organizations. In the next five years,the second forestry industry will be rapid development,the first industry develops slowly,the third industry develops lag.

Key concepts: Gray (unit), Forestry, Tertiary sector of the economy, Positive correlation, Value (mathematics), Business, Negative correlation, Mathematics

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