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

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.


INTRODUCTION
In China, the rapid development of industrial economy with industrial pollution prevention and control, has been the focus and key of environmental protection, and effective control of industrial pollution is the focus of Chinese and even global economic sustainable development.For Zhejiang Province, the industrial economy for the city development and environmental protection are of great importance.On the one hand, in recent years, Zhejiang Province industry has a great contribution for GDP growth, of which the proportion of industrial GDP is the largest.On the other hand, with the economic development, technological progress and the acceleration of the industrialization process, accompanied by the industrial "three wastes" caused serious damage to the environment [1].
Therefore, the reduction of industrial pollution emissions is the key to improving the environmental quality of Zhejiang Province.Many studies of industrial pollution abroad show that when environmental protection investment accounts for 1% to 1.5% of GDP, the environmental pollution can be controlled basically, so that the environmental conditions will remain at a level acceptable to the people [2].When environmental protection investment accounts for up to 2% -3%, the environment quality can be improved and the basic environmental guarantee and economic as well as social development can be achieved [3].This paper uses the statistical method to analyze the influencing factors of industrial pollution in Zhejiang Province from 2006 to 2016, and puts forward some suggestions according to the research conclusion.

Indicator selection
The choice of indicators is divided into two blocks.The first one is the measure of industrial pollution level, it is from three aspects: (1) industrial emissions, which includes industrial sulfur dioxide emissions and industrial smoke (powder) dust emissions; (2) industrial wastewater, which includes chemical oxygen emissions and ammonia emissions; (3) solid waste of industrial production.
The second one is the influencing factor analysis, choosing four indexes including economic scale, industrial structure, industrial pollution control investment and urbanization level as independent variables, and taking the sequence obtained by principal component analysis as dependent variable to be analyzed by linear regression analysis.

Data sources
The data of this paper mainly come from China Statistical Yearbook and Zhejiang Statistical Yearbook, that is 11 years of data including the emissions data of 2005 -2015 annual indicators of industrial "three wastes" and the total annual emissions of industrial "three wastes" [4].

Analysis of the main components of industrial "three wastes"
First, industrial waste gas is divided into industrial sulfur dioxide and industrial smoke (powder) dust, industrial wastewater is divided into chemical oxygen emissions and ammonia emissions, industrial solid waste is no longer subdivided, and then the principal component analysis was conducted on the five aspects [5].The results of principal component analysis princomp process are as follows (Table 2, Table 3, Table 4).According to the score of the first principal component, the industrial waste gas, waste water and waste residue are sorted.The results are shown in Table 5.The industrial sulfur dioxide is number 1, industrial smoke (powder) dust is number 2, and so on.It can be concluded that the greater the emissions of industrial sulfur dioxide, the greater the degree of industrial pollution, indicating that industrial sulfur dioxide emissions accounted for the largest part of industrial pollution emissions.
According to the first principal component, a new sequence can be obtained (see Table 5).Given that in the t distribution table, the degree of freedom is n-2 = 9, the critical value, because all, so we can see per capita GDP, the proportion of GDP occupied by the secondary industry, industrial pollution control investment and the scale of urbanization all have a significant impact on the pollution of industrial pollution in Zhejiang Province.

Table 1 :
Indicator Description

Table 2 :
Correlation Coefficient Matrix for Variables

Table 3 :
Eigenvalues of Correlation Coefficient Matrix

Table 4 :
Eigenvectors of Correlation Coefficient Matrix

Table 5 :
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