Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2018/6375391 |
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| _version_ | 1832549602716286976 |
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| author | Jinchao Li Lin Chen Yuwei Xiang Ming Xu |
| author_facet | Jinchao Li Lin Chen Yuwei Xiang Ming Xu |
| author_sort | Jinchao Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a608325f02364be1bdaa149f7df7af38 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-a608325f02364be1bdaa149f7df7af382025-02-03T06:10:58ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/63753916375391Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in ChinaJinchao Li0Lin Chen1Yuwei Xiang2Ming Xu3School of Economics and Management, North China Electric Power University, No. 2 Beinong Road, Huilongguan, Changping District, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, No. 2 Beinong Road, Huilongguan, Changping District, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, No. 2 Beinong Road, Huilongguan, Changping District, Beijing 102206, ChinaSchool of Natural Resources and Environment, University of Michigan, 440 Church St., Ann Arbor, MI 48109-1041, USAAir 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.http://dx.doi.org/10.1155/2018/6375391 |
| spellingShingle | Jinchao Li Lin Chen Yuwei Xiang Ming Xu Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China Discrete Dynamics in Nature and Society |
| title | Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China |
| title_full | Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China |
| title_fullStr | Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China |
| title_full_unstemmed | Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China |
| title_short | Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China |
| title_sort | research on influential factors of pm2 5 within the beijing tianjin hebei region in china |
| url | http://dx.doi.org/10.1155/2018/6375391 |
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