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GHG Emissions, Economic Growth and Urbanization: A Spatial Approach
被引:14
|作者:
Li, Li
[1
]
Hong, Xuefei
[1
]
Tang, Dengli
[1
]
Na, Ming
[2
]
机构:
[1] Harbin Inst Technol, Dept Urban Planning & Management, Shenzhen Grad Sch, UTSZ Harbin Inst Technol Campus, Shenzhen 518055, Peoples R China
[2] Hefei Univ Technol, Sch Econ, 485 Danxia Rd, Hefei 230601, Peoples R China
来源:
SUSTAINABILITY
|
2016年
/
8卷
/
05期
关键词:
spatial correlation;
greenhouse gas;
carbon dioxide (CO2) emissions;
sulfur dioxide emissions;
spatial lag modeling;
CARBON-DIOXIDE EMISSIONS;
ENVIRONMENTAL KUZNETS CURVE;
ECONOMETRIC-ANALYSIS;
CO2;
EMISSIONS;
INCOME;
CHINA;
D O I:
10.3390/su8050462
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
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.
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页数:16
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