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Discrete Dynamics in Nature and Society
Volume 2018, Article ID 6375391, 10 pages
https://doi.org/10.1155/2018/6375391
Research Article

Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China

1School of Economics and Management, North China Electric Power University, No. 2 Beinong Road, Huilongguan, Changping District, Beijing 102206, China
2School of Natural Resources and Environment, University of Michigan, 440 Church St., Ann Arbor, MI 48109-1041, USA
3Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, No. 2 Beinong Road, Huilongguan, Changping District, Beijing 102206, China

Correspondence should be addressed to Jinchao Li; moc.361@hcjlysg

Received 30 August 2017; Revised 29 December 2017; Accepted 22 January 2018; Published 5 March 2018

Academic Editor: Allan C. Peterson

Copyright © 2018 Jinchao Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Air pollutant emissions are problematic hazards in China, especially in the Beijing-Tianjin-Hebei region. In this paper, we use fishbone method to set up the influential factor set of PM2.5 qualitatively. Then we use Spearman rank correlation test and panel data regression model to analyze the data of Beijing-Tianjin-Hebei region from 2012 to 2015 quantitatively. The results show that population density, energy consumption per unit area, concrete production per unit area, industrial proportion, transportation volume per unit area, new construction areas per unit area, road construction length per unit area, and coal consumption proportion are all positively correlated with PM2.5. The proportion of electricity consumption is negatively correlated with PM2.5. Among them, population density, industrial proportion, transportation volume, energy consumption per unit area, and the proportion of electricity consumption have a pivotal influence on PM2.5. At last, we give some suggestions to solve the hazard of PM2.5 in Beijing-Tianjin-Hebei region.