2014Anhui nongye kexueRequires access

Principal Component Analysis( PCA) on Forestry Industrial Competitiveness of Jilin Province

Xu Sun

Open publisher page 0 citations

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.

About this research paper

What this paper is about

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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Forestry, Principal component analysis, Business, Tourism, Ninth, Community forestry, Principal (computer security), Geography

Related papers

Back to paper searchBrowse research topicsOriginal source
Principal Component Analysis( PCA) on Forestry Industrial Competitiveness of Jilin Province — Research Paper | ScholarLens