Analysis on Influencing Factors of Industrial Pollution taking Zhejiang Province as an Example

Jianya Gu and Diping Zhang ()
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Jianya Gu: School of Marxism, Zhejiang University of Science and Technology, Hangzhou 310023, China
Diping Zhang: School of Sciences, Zhejiang University of Science and Technology, Hangzhou 310023, China

Acta Scientifica Malaysia (ASM), 2018, vol. 2, issue 1, 14-16

Abstract: In this paper, the principal component analysis (PCA) is used to measure the pollution of industrial pollution in Zhejiang Province. Then, the linear regression of industrial pollution is analyzed. The conclusion is that the emission of industrial waste gas accounts for the largest proportion in industrial pollution. The increase in the per capita GDP, the increase in the proportion of secondary industry GDP and the improvement of urbanization will exacerbate industrial pollution, and industrial governance investment will have the opposite effect. Based on the above, this paper puts forward the relevant countermeasures and suggestions.

Keywords: Industrial pollution; Influencing factors; Principal component analysis; Multiple linear regression analysis (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnasm:v:2:y:2018:i:1:p:14-16

DOI: 10.26480/asm.01.2018.14.16

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