GHG Emissions, Economic Growth and Urbanization: A Spatial Approach

Li Li, Xuefei Hong, Dengli Tang and Ming Na
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Li Li: Department Urban Planning and Management of Shenzhen Graduate School, Harbin Institute of Technology, UTSZ Harbin Institute of Technology Campus, ShenZhen 518055, China
Xuefei Hong: Department Urban Planning and Management of Shenzhen Graduate School, Harbin Institute of Technology, UTSZ Harbin Institute of Technology Campus, ShenZhen 518055, China
Dengli Tang: Department Urban Planning and Management of Shenzhen Graduate School, Harbin Institute of Technology, UTSZ Harbin Institute of Technology Campus, ShenZhen 518055, China
Ming Na: School of Economics, Hefei University of Technology, 485 Danxia Road, Hefei 230601, China

Sustainability, 2016, vol. 8, issue 5, 1-16

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 (CO 2 emissions, SO 2 emissions, NO x 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 CO 2 , SO 2 , and NO x emissions show significant positive results for both the spatial correlation and space cluster effect in provincial space distribution.CO 2 and NO x emissions have a significant positive spillover effect, while the SO 2 emissions’ spatial spillover effect is positive but not significant. Economic growth and urbanization are the key determinants of CO 2 , dust, and NO x 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.

Keywords: spatial correlation; greenhouse gas; carbon dioxide (CO 2 ) emissions; sulfur dioxide emissions; spatial lag modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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