Mapping spatiotemporal variations of CO2 (carbon dioxide) emissions using nighttime light data in Guangdong Province

2019 ◽  
Vol 110 ◽  
pp. 89-98 ◽  
Author(s):  
Xiaolin Cui ◽  
Yutong Lei ◽  
Fan Zhang ◽  
Xueyan Zhang ◽  
Feng Wu
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Guangdong Province ◽  
Spatiotemporal Variations ◽  
Nighttime Light Data ◽  
Nighttime Light

scholarly journals Spatiotemporal Variations of City-Level Carbon Emissions in China during 2000–2017 Using Nighttime Light Data

2020 ◽  
Vol 12 (18) ◽  
pp. 2916
Author(s):  
Yu Sun ◽  
Sheng Zheng ◽  
Yuzhe Wu ◽  
Uwe Schlink ◽  
Ramesh P. Singh
Keyword(s):  
Carbon Emissions ◽  
Infrared Imaging ◽  
Yangtze River Delta ◽  
Chinese Government ◽  
Low Carbon ◽  
Spatiotemporal Variations ◽  
Nighttime Light Data ◽  
Low Emission ◽  
High Emission ◽  
Nighttime Light

China is one of the largest carbon emitting countries in the world. Numerous strategies have been considered by the Chinese government to mitigate carbon emissions in recent years. Accurate and timely estimation of spatiotemporal variations of city-level carbon emissions is of vital importance for planning of low-carbon strategies. For an assessment of the spatiotemporal variations of city-level carbon emissions in China during the periods 2000–2017, we used nighttime light data as a proxy from two sources: Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) data and the Suomi National Polar-orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The results show that cities with low carbon emissions are located in the western and central parts of China. In contrast, cities with high carbon emissions are mainly located in the Beijing-Tianjin-Hebei region (BTH) and Yangtze River Delta (YRD). Half of the cities of China have been making efforts to reduce carbon emissions since 2012, and regional disparities among cities are steadily decreasing. Two clusters of high-emission cities located in the BTH and YRD followed two different paths of carbon emissions owing to the diverse political status and pillar industries. We conclude that carbon emissions in China have undergone a transformation to decline, but a very slow balancing between the spatial pattern of high-emission versus low-emission regions in China can be presumed.

scholarly journals Grey Relational Analysis of Carbon Emission and Energy Consumption from the Perspective of Economic Growth in Guangdong Province

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Jianxiang Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Grey Relational Analysis ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Guangdong Province ◽  
Coal Consumption ◽  
Relational Analysis ◽  
Grey Relational

The relationship among economy, energy and carbon emission in Guangdong province is analyzed by using grey relational analysis method. Studies show that coal consumption is the main reason for the increase in carbon dioxide emissions in Guangdong province after its rapid economic growth. Therefore, to slow down the carbon dioxide emissions in Guangdong province, the first step is to improve the energy consumption structure. 

Investigating the effect of carbon leakage on the environmental Kuznets curve using luminosity data

2017 ◽  
Vol 22 (6) ◽  
pp. 747-770
Author(s):  
Arne Steinkraus
Keyword(s):  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Important Variable ◽  
Carbon Leakage ◽  
Kuznets Curve ◽  
Nighttime Light Data ◽  
The World ◽  
Nighttime Light ◽  
Global Coordination ◽  
The Relationship

AbstractThis paper studies the effect of carbon leakage on the environmental Kuznets curve (EKC) using satellite nighttime light data. It shows that nighttime lighting is an important variable for estimating carbon dioxide emissions that is superior to other existing indicators and covers all countries in the world, finding evidence of an inverted-U shaped relationship between light and, thus, greenhouse gas emissions and income, with a turning point at approximately US$50,000. However, the relationship is primarily driven by changes in the structure of international trade, implying strong carbon leakage effects. Consequently, environmental regulations that become operative in only one part of the world may fail without global coordination.

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