An Estimating Method for Carbon Emissions of China Based on Nighttime Lights Remote Sensing Satellite Images

Tianjiao Yang, Jing Liu, Haibo Mi, Zhicheng Cao, Yiting Wang, Huichao Han, Jiahui Luan and Zhaoxuan Wang
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Tianjiao Yang: China Astronautics Standards Institute, Beijing 100071, China
Jing Liu: Department of Construction Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Haibo Mi: China Astronautics Standards Institute, Beijing 100071, China
Zhicheng Cao: China Astronautics Standards Institute, Beijing 100071, China
Yiting Wang: China Astronautics Standards Institute, Beijing 100071, China
Huichao Han: China Astronautics Standards Institute, Beijing 100071, China
Jiahui Luan: China Astronautics Standards Institute, Beijing 100071, China
Zhaoxuan Wang: China Astronautics Standards Institute, Beijing 100071, China

Sustainability, 2022, vol. 14, issue 4, 1-23

Abstract: In September 2020, China proposed the achievement of the emission reduction targets of “carbon peak” and “carbon neutral” by 2030 and 2060, respectively. As an important area of energy consumption in addition to industry and transportation, the construction industry has great energy-saving potential and is gradually becoming the key to achieving China’s energy-saving and emission-reduction goals. Energy data is an important basic support for measuring carbon emissions, analyzing energy-saving potential, and formulating energy-saving targets. In order to solve the he lack of data on China’s carbon emissions, this paper uses lamplight remote sensing image data in the study. Combined with China’s eastern, central, and western regions of building carbon emissions data and the establishment of a partition of China building carbon emissions calculation model, panel data found building carbon emissions and smooth lamp brightness values between the balanced relations. After that, using the building carbon emissions models of the three regions, the building carbon emissions of 30 provinces, 360 cities, and 2778 counties in China were measured, and the changing trends and temporal and spatial directions of building carbon emissions at three spatial scales were analyzed. The results showed that although the total carbon emissions of civil buildings in China has been increasing year by year, its average annual growth rate is gradually slowing down. In addition, the temporal and spatial development directions of carbon emissions from buildings of different spatial scales are basically the same, and they all show a trend of shifting to the east.

Keywords: light remote sensing image; building carbon emission; panel data model; measurement method; temporal and spatial characteristics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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