The health costs of the industrial leap forward in China: Evidence from the sulfur dioxide emissions of coal-fired power stations

2018 ◽  
Vol 49 ◽  
pp. 68-83 ◽  
Author(s):  
Shuo Chen ◽  
Yiran Li ◽  
Qin Yao
Keyword(s):  
Sulfur Dioxide ◽  
Health Costs ◽  
Sulfur Dioxide Emissions ◽  
Power Stations

Control of Sulfur Dioxide Emissions from Coal

Science ◽  
1975 ◽  
Vol 189 (4199) ◽  
pp. 253-253 ◽  
Author(s):  
P. H. Abelson
Keyword(s):  
Sulfur Dioxide ◽  
Sulfur Dioxide Emissions

Air Pollution and Trade: The Case of China

2021 ◽  
Vol 16 (2) ◽  
pp. 307-346
Author(s):  
Jin Qin ◽  
◽  
Ivan T. Kandilov ◽  
Roger H. von Haefen ◽  
◽  
...  
Keyword(s):  
Air Pollution ◽  
Sulfur Dioxide ◽  
Great Recession ◽  
Fine Particulate Matter ◽  
Annual Data ◽  
Exogenous Shock ◽  
The Great Recession ◽  
Sulfur Dioxide Emissions ◽  
Percentage Points ◽  
Emissions Intensity

We estimate the effects of trade on air pollution in China. To address endogeneity concerns, we use an instrumental variable strategy that treats the Great Recession as an exogenous shock that differentially affected China’s coastal provinces, which export a greater volume of manufacturing as they are closer to navigable waters. In our empirical analysis, we employ annual data on emissions of sulfur dioxide as well as smoke and dust at the province level from 2003 to 2015 to measure air pollution intensity (the ratio of air pollution to GDP), and we also use fine particulate matter (PM2.5) concentrations data derived from satellite imagery as a robustness check. We find that a decrease in trade intensity (the ratio of trade to GDP) by 10 percentage points (a negative trade shock similar to what occurred during the Great Recession) increases sulfur dioxide emissions intensity by about 38 percentage points. Emissions of the other two air pollutants grow by similar proportions.

Are there industrial SO2 convergences in China’s prefecture-level cities? New evidence from a spatial econometric perspective

2019 ◽  
Vol 31 (3) ◽  
pp. 440-460
Author(s):  
Yongqing Nan ◽  
Qin Li ◽  
Haiya Cai ◽  
Zhou Qin
Keyword(s):  
Sulfur Dioxide ◽  
Regional Cooperation ◽  
Estimation Methods ◽  
Kuznets Curve ◽  
Spatial Effects ◽  
Spatial Econometric ◽  
Sulfur Dioxide Emissions ◽  
Spatial Econometric Models ◽  
Per Capita ◽  
New Evidence

As the world’s largest emitter of sulfur dioxide, China is facing mounting domestic and international pressures to tackle the increasingly serious atmospheric pollution. Convergence is an important inherent characteristic of sulfur dioxide discharge. This study examines the convergence of per capita sulfur dioxide emissions across 280 Chinese prefecture-level cities from 2003 to 2016. Due to the spatial autocorrelation of air pollutants, conventional estimation methods for β convergence ignore the spatial effects and produce biased results. Consequently, spatial econometric models with different weight matrices are employed to control for spatial effects. The empirical results indicate that per capita sulfur dioxide emissions exhibit both absolute β convergence and conditional β convergence, and spatial effect and other socioeconomic factors accelerate the convergence speed. In addition, this study verifies the environmental Kuznets curve hypothesis between sulfur dioxide and gross domestic product. The results highlight the importance of regional cooperation and coordination when formulating environmental and industrial policies.

scholarly journals Algorithms for using the database of OMI and OMPS spectrometers for estimating sulfur dioxide emissions

2020 ◽  
Vol 548 ◽  
pp. 052081
Author(s):  
D V Zuev ◽  
V F Garifullin ◽  
S A Temerbaev ◽  
D S Feoktistov ◽  
A I Zuevskaya
Keyword(s):  
Sulfur Dioxide ◽  
Sulfur Dioxide Emissions
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