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Spatial Distribution of Haze Pollution in China and Eco-Compensation Measures


Affiliations
1 College of Humanities, Guizhou University, Guiyang, Guizhou, 550025, China
 

Serious haze pollution is harming public health and life in many provinces in China. The spatial distribution characteristics of haze pollution in 30 provinces, including cities and municipalities, in China were further analysed. The possible existence of spatial club convergence tendency among different provinces was explored, enabling the implementation of customized governance measures according to eco-compensation. First, spatial autocorrelation of the haze was calculated using Moran's I index based on the annual data of haze pollution over the study area from 2003-2014. Spatial error panel data model was used to analyse the presence of spatial club convergence of haze pollution. Finally, related policy suggestions to manage haze pollution were proposed based on eco-compensation. Results demonstrated that China's key monitored provincial capitals and municipalities had suffered very serious haze pollution. All 30 provinces could generally be divided into light, middle, relatively high, and high haze regions. The provinces exhibited strong spatial autocorrelation. Spatial concentration presented continuous distribution and increasing spatial dependency. Several regional provinces presented spatial club convergence based on haze pollution. Empirical results provided certain references to further understand the spatial distribution of haze pollution in China, explore eco-compensation measures against haze pollution, and relieve the effect of haze on social and economic development.

Keywords

Haze Pollution, Spatial Distribution, Eco-Ccompensation, Policy Suggestion.
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  • Anselin, L. 2001. Spatial effects in econometric practice in environmental and resource economics. American Journal of Agricultural Economics, 83(3): 705-710.

  • Dinda, S. 2004. Environmental Kuznets curve hypothesis: a survey. Ecological Economics, 49(4): 431-455.

  • Eldred, R. A., Cahill, T. A. and Flocchini, R. G. 1997. Composition of PM2. 5 and PM10 Aerosols in the improve Network. Journal of the Air & Waste Management Association, 47(2): 194-203.

  • Gehrig, R. and Buchmann, B. 2003. Characterising seasonal variations and spatial distribution of ambient PM10 and PM2. 5 concentrations based on long-term Swiss monitoring data. Atmospheric Environment, 37(19): 2571-2580.

  • Guo, Z. G., Feng, J. L. and Fang, M. et al. 2004. The elemental and organic characteristics of PM2. 5 in Asian dust episodes in Qingdao, China, 2002. Atmospheric Environment, 38(6): 909-919.

  • Hosseini, H. M. and Kaneko, S. 2013. Can environmental quality spread through institutions? Energy Policy, 56(2): 312-321.

  • Hueglin, C., Gehrig, R. and Baltensperger, U. et al. 2005. Chemical characterisation of PM2. 5, PM10 and coarse particles at urban, near-city and rural sites in Switzerland. Atmospheric Environment, 39(4): 637-651.

  • Jobert, T., Karanfil, F. and Tykhonenko, A. 2010. Convergence of per capita carbon dioxide emissions in the EU: Legend or reality? Energy Economics, 32(6): 1364-1373.

  • Li, C., Fu, J. and Sheng, G. et al. 2005. Vertical distribution of PAHs in the indoor and outdoor PM2.5 in Guangzhou, China. Building and Environment, 40(3): 329-341.

  • Maddison, D. 2007. Modelling sulphur emissions in Europe: a spatial econometric approach. Oxford Economic Papers, 59(4): 726-743.

  • Motallebi, N. 1999. Wintertime PM2. 5 and PM10 source apportionment at Sacramento, California. Journal of the Air & Waste Management Association, 49(9): 25-34.

  • Poon, J. P. H., Casas, I. and He, C. 2006. The impact of energy, transport, and trade on air pollution in China. Eurasian Geography and Economics, 47(5): 568-584.

  • Querol, X., Alastuey, A. and Rodriguez, S. et al. 2001. PM10 and PM2. 5 source apportionment in the Barcelona Metropolitan area, Catalonia, Spain. Atmospheric Environment, 35(36): 6407-6419.

  • Rupasingha, A., Goetz, S. J. and Debertin, D. L. et al. 2004. The environmental Kuznets curve for US counties: A spatial econometric analysis with extensions. Papers in Regional Science, 83(2): 407-424.


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  • Spatial Distribution of Haze Pollution in China and Eco-Compensation Measures

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Authors

Yifeng Sun
College of Humanities, Guizhou University, Guiyang, Guizhou, 550025, China

Abstract


Serious haze pollution is harming public health and life in many provinces in China. The spatial distribution characteristics of haze pollution in 30 provinces, including cities and municipalities, in China were further analysed. The possible existence of spatial club convergence tendency among different provinces was explored, enabling the implementation of customized governance measures according to eco-compensation. First, spatial autocorrelation of the haze was calculated using Moran's I index based on the annual data of haze pollution over the study area from 2003-2014. Spatial error panel data model was used to analyse the presence of spatial club convergence of haze pollution. Finally, related policy suggestions to manage haze pollution were proposed based on eco-compensation. Results demonstrated that China's key monitored provincial capitals and municipalities had suffered very serious haze pollution. All 30 provinces could generally be divided into light, middle, relatively high, and high haze regions. The provinces exhibited strong spatial autocorrelation. Spatial concentration presented continuous distribution and increasing spatial dependency. Several regional provinces presented spatial club convergence based on haze pollution. Empirical results provided certain references to further understand the spatial distribution of haze pollution in China, explore eco-compensation measures against haze pollution, and relieve the effect of haze on social and economic development.

Keywords


Haze Pollution, Spatial Distribution, Eco-Ccompensation, Policy Suggestion.

References