![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
Characteristics and Influencing Factors of Industrial Pollution Discharge:A Case Study of Anhui, China
The development of industrial economy is the major force behind the rapid development of national economy. However, industrial pollution exerts huge pressure on the environmental carrying capacity with its largest share of environmental pollution. In this study, the characteristics of industrial discharge in Anhui of China were analysed to further understand its pollution discharge characteristics and major influencing factors. Its influencing factors were also analysed through Grey relative analysis, and the grey-relation degree between industrial pollution and each factor was quantitatively measured. Results reveal that in the period of 2005-2016, the total discharge of industrial wastewater in Anhui Province has shown a gradual, but unstable increase; the exhaust gas emission also has increased annually with a growth of 364%; and the common industrial solid waste has increased by 200%, whereas its rate of multipurpose utilization has been constantly improved. Grey relational coefficients indicate that the five industrial indicators are closely correlated according to the three indicators, including GDP per capita, industrial proportion and the number of environmental researchers. This finding indicates that rapid economic growth, unreasonable industrial structure and incompetence in environmental control are the major influencing factors. The conclusion is of great reference value to further understand the current situation of industrial pollution in China, optimize the industrial structure, reduce the discharge of pollutants, and explore the law between environmental protection and pollution effect.
Keywords
Industrial Pollution, Discharge Characteristics, Influencing Factors.
User
Font Size
Information
- Brooks, N. and Sethi, R. 1997. The distribution of pollution: community characteristics and exposure to air toxics. Journal of Environmental Economics and Management, 32(2): 233-250.
- Cole, M.A., Elliott, R.J.R. and Shimamoto, K. 2005. Industrial characteristics, environmental regulations and air pollution: an analysis of the UK manufacturing sector. Journal of Environmental Economics and Management, 50(1): 121-143.
- Fu, X., Wang, S. and Zhao, B. et al. 2013. Emission inventory of primary pollutants and chemical speciation in 2010 for the Yangtze River Delta region, China. Atmospheric Environment, 70: 39-50.
- He, J. 2006. Pollution haven hypothesis and environmental impacts of foreign direct investment: the case of industrial emission of sulfur dioxide (SO2) in Chinese provinces. Ecological Economics, 60(1): 228-245.
- He, K., Huo, H. and Zhang, Q. 2002. Urban air pollution in China: status, characteristics, and progress. Annual review of energy and the environment, 27(1): 397-431.
- Hettige, H., Mani, M. and Wheeler, D. 2000. Industrial pollution in economic development: the environmental Kuznets curve revisited. Journal of Development Economics, 62(2): 445-476.
- Jorgenson, A.K. 2009. Foreign direct investment and the environment, the mitigating influence of institutional and civil society factors, and relationships between industrial pollution and human health: A panel study of less-developed countries. Organization and Environment, 22(2): 135-157.
- Li, L., Qian, J. and Ou, C.Q. et al. 2014. Spatial and temporal analysis of air pollution index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001-2011. Environmental Pollution, 190: 75-81.
- Lin, Y.C., Hsu, S.C. and Chou, C.C.K. et al. 2016. Wintertime haze deterioration in Beijing by industrial pollution deduced from trace metal fingerprints and enhanced health risk by heavy metals. Environmental Pollution, 208: 284-293.
- Liu, G., Yang, Z. and Tang, Y. et al. 2017. Spatial correlation model of economy-energy-pollution interactions: The role of river water as a link between production sites and urban areas. Renewable and Sustainable Energy Reviews, 69: 1018-1028.
- Liu, H., Fang, C., Zhang, X., et al. 2017. The effect of natural and anthropogenic factors on haze pollution in Chinese cities: A spatial econometrics approach. Journal of Cleaner Production, 165: 323-333.
- Miao, X., Tang, Y. and Wong, C.W.Y. et al. 2015. The latent causal chain of industrial water pollution in China. Environmental Pollution, 196: 473-477.
- Pargal, S. and Wheeler, D. 1996. Informal regulation of industrial pollution in developing countries: evidence from Indonesia. Journal of Political Economy, 104(6): 1314-1327.
- Qing, X., Zong, Y. and Lu, S. 2015. Assessment of heavy metal pollution and human health risk in urban soils of steel industrial city (Anshan), Liaoning, Northeast China. Ecotoxicology and Environmental Safety, 120: 377-385.
- Vafa-Arani, H., Jahani, S. and Dashti, H. et al. 2014. A system dynamics modeling for urban air pollution: A case study of Tehran, Iran. Transportation Research Part D: Transport and Environment, 31: 21-36.
- Wang, S., Zhao, M. and Xing, J. et al. 2010. Quantifying the air pollutants emission reduction during the 2008 Olympic Games in Beijing. Environmental Science and Technology, 44(7): 2490-2496.
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 276
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 0