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Sustainability 2016, 8(5), 462; doi:10.3390/su8050462

GHG Emissions, Economic Growth and Urbanization: A Spatial Approach

1
Department Urban Planning and Management of Shenzhen Graduate School, Harbin Institute of Technology, UTSZ Harbin Institute of Technology Campus, ShenZhen 518055, China
2
School of Economics, Hefei University of Technology, 485 Danxia Road, Hefei 230601, China
*
Author to whom correspondence should be addressed.
Academic Editor: Giuseppe Ioppolo
Received: 16 March 2016 / Revised: 4 May 2016 / Accepted: 5 May 2016 / Published: 10 May 2016
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
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Abstract

To gain a greater understanding of the spatial spillover effect of greenhouse gas emissions and their influencing factors, this paper provides a spatial analysis of four gas pollutants (CO2 emissions, SO2 emissions, NOx emissions, and dust emissions). Focusing on China, the paper also explores whether the four gas pollutants are influenced by the emissions of neighboring regions and other possible sources. The paper uses a global spatial autocorrelation analysis, local spatial association analysis and spatial lag model for empirical work. The results suggest that CO2, SO2, and NOx emissions show significant positive results for both the spatial correlation and space cluster effect in provincial space distribution.CO2 and NOx emissions have a significant positive spillover effect, while the SO2 emissions’ spatial spillover effect is positive but not significant. Economic growth and urbanization are the key determinants of CO2, dust, and NOx emissions, while energy efficiency and industrialization do not appear to play a role. This raises questions about the method of examining the spatial relationship between gas pollution, economic growth and urbanization in the future. View Full-Text
Keywords: spatial correlation; greenhouse gas; carbon dioxide (CO2) emissions; sulfur dioxide emissions; spatial lag modeling spatial correlation; greenhouse gas; carbon dioxide (CO2) emissions; sulfur dioxide emissions; spatial lag modeling
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. (CC BY 4.0).

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Li, L.; Hong, X.; Tang, D.; Na, M. GHG Emissions, Economic Growth and Urbanization: A Spatial Approach. Sustainability 2016, 8, 462.

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