# Exploring the dynamics and trends of carbon emission spatiotemporal patterns in the Chengdu–Chongqing Economic Zone, China, from 2000 to 2020

## TL;DR

This paper analyzes how carbon emissions have changed over time and space in the Chengdu–Chongqing Economic Zone in China from 2000 to 2020.

## Contribution

The study introduces an integrated qualitative and quantitative system to analyze carbon emission patterns using corrected nighttime light data.

## Key findings

- High carbon emission areas are mainly in Chengdu and Chongqing, while low emissions are in marginal cities and less industrialized regions.
- Carbon emissions increased from 2000 to 2020, with high-emission zones expanding outward from central cities.
- County and grid-scale emissions show significant positive spatial correlation that has increased over time.

## Abstract

Analysis of the spatial–temporal pattern and trend of carbon emissions provides an important scientific basis for the development of a low-carbon economy. Based on the corrected NPP-VIIRS and DMSP/OLS nighttime light data, a carbon emission model for the Chengdu–Chongqing Economic Zone (CCEZ) in China is constructed. Furthermore, the article establishes an integrated qualitative and quantitative research system. The qualitative results show that at the city and county scales, the high carbon emission areas and counties are mainly distributed in Chengdu and Chongqing, while the low carbon emission areas are concentrated in the marginal cities of the CCEZ and the counties with low levels of industrialization around the Sichuan Basin. The high-carbon emission zone tended to expand to the north, and the low-carbon emission zone tended to expand to the south. At the grid scale, the carbon emissions of the CCEZ fluctuated and increased from 2000 to 2020, forming a trend connected with those of the central city, with high carbon emissions at the core and radiating outward expansion. Quantitative analysis revealed that carbon emissions at the county and grid scales exhibited a significant positive global spatial correlation, and the overall correlation degree exhibited an increasing trend.