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Article

Exploring the Contribution Roles from Municipal Cities in the Rise in Household CO2 Emissions in China: From a Local Scale Analysis in the Global Context

by
Zilong Qin
1,2,
Moquan Sha
3,
Xiaolei Li
1,
Jianguang Tu
1,
Xicheng Tan
1 and
Zongyao Sha
1,2,*
1
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2
Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou 510631, China
3
China Unicom Smart City Research Institute, Beijing 100048, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(22), 4135; https://doi.org/10.3390/rs16224135
Submission received: 22 September 2024 / Revised: 4 November 2024 / Accepted: 5 November 2024 / Published: 6 November 2024
(This article belongs to the Section Urban Remote Sensing)

Abstract

A major source of carbon dioxide emissions (CO2) arises from the household sector. Recent studies have reported increasing household CO2 emissions (HCO2) in many countries. Cities represent a key administrative level in China and can be managed to mitigate HCO2 if spatial and temporal variations in HCO2 are understood at fine scales. Here, we applied panel data analysis to map HCO2 at a pixel scale of 1 km in China using remotely sensed time series nighttime light data, grid population density data, and provincial energy consumption statistics from 2000 to 2020. Spatial and temporal variations in HCO2 were observed with four growth modes, including high growth (HG), low growth (LG), negative growth (NG), and high negative growth (HNG), for different periods, i.e., 2000–2010, 2010–2020, and 2000–2020. We proposed a local scale analysis of HCO2 growth patterns within a global context to assess the contribution roles of 372 municipal cities to the changes in the national total HCO2 (T-HCO2). The results indicated that T-HCO2 has tripled in the last two decades, but the roles of the contribution to the increase varied among cities. The local scale analysis revealed that more cities contributed to the rise in T-HCO2 through HG and LG than those that suppressed it through NG and HNG. The majority of the cities displayed contributions to the rise in T-HCO2 through two or more of the growth modes, confirming a significant variation in HCO2 across locations, even within a city. This study provides a new approach to understanding the roles cities play in the long-term dynamics of T-HCO2. We recommend increased efforts to encourage HCO2 mitigation in cities that have contributed to the rise in T-HCO2 to help neutralize carbon emissions at the national level.
Keywords: household CO2 emissions; nighttime light; spatio-temporal variations; clustering household CO2 emissions; nighttime light; spatio-temporal variations; clustering

Share and Cite

MDPI and ACS Style

Qin, Z.; Sha, M.; Li, X.; Tu, J.; Tan, X.; Sha, Z. Exploring the Contribution Roles from Municipal Cities in the Rise in Household CO2 Emissions in China: From a Local Scale Analysis in the Global Context. Remote Sens. 2024, 16, 4135. https://doi.org/10.3390/rs16224135

AMA Style

Qin Z, Sha M, Li X, Tu J, Tan X, Sha Z. Exploring the Contribution Roles from Municipal Cities in the Rise in Household CO2 Emissions in China: From a Local Scale Analysis in the Global Context. Remote Sensing. 2024; 16(22):4135. https://doi.org/10.3390/rs16224135

Chicago/Turabian Style

Qin, Zilong, Moquan Sha, Xiaolei Li, Jianguang Tu, Xicheng Tan, and Zongyao Sha. 2024. "Exploring the Contribution Roles from Municipal Cities in the Rise in Household CO2 Emissions in China: From a Local Scale Analysis in the Global Context" Remote Sensing 16, no. 22: 4135. https://doi.org/10.3390/rs16224135

APA Style

Qin, Z., Sha, M., Li, X., Tu, J., Tan, X., & Sha, Z. (2024). Exploring the Contribution Roles from Municipal Cities in the Rise in Household CO2 Emissions in China: From a Local Scale Analysis in the Global Context. Remote Sensing, 16(22), 4135. https://doi.org/10.3390/rs16224135

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