Principal Component Analysis( PCA) on Forestry Industrial Competitiveness of Jilin Province
Xu Sun
Abstract
Xu Sun
Abstract
This paper selected 10 indicators related to industrial competitiveness of forestry and calculated comprehensive score of industrial competitiveness of forestry of 31 provinces by Principal Component Analysis( PCA) method with the aid of SPSS software. The results indicated that the industrial competitiveness of forestry of Jilin Province ranked the ninth and its comprehensive score was 0. 493 71,showing a large improvement space. Finally,it came up with recommendations including increasing funds and sci-tech input and energetically developing ecological tourism,to raise industrial competitiveness of forestry and promote rapid development of forestry.
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This paper selected 10 indicators related to industrial competitiveness of forestry and calculated comprehensive score of industrial competitiveness of forestry of 31 provinces by Principal Component Analysis( PCA) method with the aid of SPSS software. The results indicated that the industrial competitiveness of forestry of Jilin Province ranked the ninth and its comprehensive score was 0. 493 71,showing a large improvement space. Finally,it came up with recommendations including increasing funds and sci-tech input and energetically developing ecological tourism,to raise industrial competitiveness of forestry and promote rapid development of forestry.
Key concepts: Forestry, Principal component analysis, Business, Tourism, Ninth, Community forestry, Principal (computer security), Geography