Using the Grey Model to Analyze the Impact of the Primary, Secondary, and Tertiary Industries on the Public’s Attention to Air Pollution in Three Cities

Haolei Gu,Yan Chen,Yun Bai

doi:10.1155/2020/6614570

Abstract

To analyze the impact of the added value of primary, secondary, and tertiary industry on public attention to air pollution in Handan, Xingtai, and Shijiazhuang, Baidu index is used to build the air pollution attention index. Taking the added value of the primary, secondary, and tertiary industry as the influencing factors, fractional grey multivariable convolution model is used to predict and analyze the public attention to air pollution in these three cities from 2020 to 2024. The results show that the secondary industry has the greatest impact on the public’s attention to air pollution compared with the primary industry and the tertiary industry. And the added value of the secondary industry with faster increase will cause a faster increase in the public’s air pollution attention from 2020 to 2024, especially in Handan. It is not only helpful to air pollution control, but also helpful in solving the public psychological problems caused by air pollution.

Highlights

Air pollution has always been the key issue of environmental protection, which causes certain harm to human beings and nature [1]. e harm of air pollution is manifold
The fitting accuracy of the FGMC(1, 2) model is higher than that of GMC(1, 2) and DGM(1, 2) models for the same industry as influencing factors, which shows that the FGMC(1, 2) model is more suitable for predicting air pollution attention than the other two models
For the same model, the added value of the secondary industry can be used as an influencing factor to predict air pollution attention with better accuracy, which shows that the added value of the secondary industry has a better prediction effect on air pollution attention. erefore, in order to better predict the attention of air pollution, the secondary industry is taken as the influencing factor, and the FGMC(1, N) model is used to study the attention of air pollution in three cities

Summary

Introduction

Air pollution has always been the key issue of environmental protection, which causes certain harm to human beings and nature [1]. e harm of air pollution is manifold. E public’s willingness to improve air quality in six cities was studied [16]. Erefore, we will analyze the public’s attention to air pollution from the perspective of industrial development. Erefore, the study of public’s attention to air pollution is carried out on the grey model. Few people use grey model to predict public attention to air pollution. Erefore, the added value of the primary, secondary, and tertiary industries was taken as the influencing factor, and the grey multivariate convolution model is used to predict and analyze the public’s attention to air pollution. E innovations of this paper are as follows: (1) Based on Baidu index, the measurement method and prediction model of air pollution attention are put forward.

Research Area and Date Sources

Methods

Empirical Study

Findings

Conclusion and Implication