We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
基于夜间灯光数据的中国海岛县碳排放时空分异 及影响因素研究.
- Authors
狄乾斌; 侯智文; 陈小龙
- Abstract
In accordance with the economic development and energy consumption data of 12 typical island counties in China from 2000 to 2017,this paper employed a carbon emission model from energy consumption to measure its carbon emissions, and then constructed a carbon emission regression model based on energy consumption and nighttime light data with the support of a fusion of calibrated DMSP-OLS and NPP-VIIRS nighttime light data to estimate carbon emissions and analyze its spatial differentiation characteristics. Finally, the extended STIRPAT model and the ridge regression model were used to analyze the factors influencing carbon emissions of island counties in China. The results show that: 1) The regional discrepancies of carbon emissions from energy consumption in 12 typical island counties in China from 2000 to 2017 were significant, with an overall increasing trend.2) The goodness of fit of the carbon emission regression model reached 0.9447,with an average error of 5.14%.This model is capable of reflecting the carbon emissions from energy consumption, that is, the total carbon emissions have continued to increase, with the most significant upward trend in Chongming District, Dinghai District, Putuo District, and Yuhuan City, the downward trend in Nan′ao County, and the low carbon emissions in Changhai County and Changdao County.3) Economic scale has the greatest influence on the increase of carbon emissions of island counties, while the population scale and industrial structure exert a comparatively minor influence on the carbon emissions of island counties.
- Subjects
CHINA; ENERGY consumption of lighting; CARBON emissions; ENERGY development; ENERGY consumption; GOODNESS-of-fit tests
- Publication
Geography & Geographic Information Science, 2022, Vol 38, Issue 6, p23
- ISSN
1672-0504
- Publication type
Article
- DOI
10.3969/j.issn.1672-0504.2022.06.004