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广东省城乡居民点空间特征与碳排放的关系。

The Relationship between Spatial Characteristics of Urban-Rural Settlements and Carbon Emissions in Guangdong Province.

机构信息

Guangdong Guodi Planning Science Technology Co., Ltd., Guangzhou 510650, China.

College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 1;20(3):2659. doi: 10.3390/ijerph20032659.

Abstract

As containers of human activities, both urban and rural built-up settlements play roles in the increment of regional GHG emissions. This study investigates the relationship between the spatial characteristics of different urban-rural settlements and carbon emissions in Guangdong province, China. After estimating the carbon emissions of 21 cities in Guangdong province from 2005 to 2020, this paper constructs a panel regression model based on the STIPRAT model to identify the impact of different types of urban-rural settlements on carbon emissions with controlling socioeconomic factors. The results show that the increase in high-density urban areas and low-density rural built-up areas have a significant positive correlation with carbon emissions. Moreover, the impact of rural built-up settlements is stronger than urban areas. In addition, our results indicate that carbon emission has little correlation with the spatial landscape pattern. This study highlights the importance of rural built-up settlements for understanding regional carbon emissions. Local governments should not only focus on the reduction of carbon emissions in the large urban agglomerations but also need to make a plan for the small and medium-sized towns that are dominated by industries.

摘要

作为人类活动的载体,城乡建成区在区域温室气体排放的增加中发挥了作用。本研究调查了中国广东省不同城乡聚居区的空间特征与碳排放之间的关系。在估算了广东省 21 个城市 2005 年至 2020 年的碳排放之后,本文基于 STIPRAT 模型构建了面板回归模型,以在控制社会经济因素的情况下确定不同类型的城乡聚居区对碳排放的影响。结果表明,高密度城市地区和低密度农村建成区的增加与碳排放呈显著正相关。此外,农村建成区的影响比城市地区更强。此外,我们的结果表明,碳排放与空间景观格局相关性较小。本研究强调了农村建成区在理解区域碳排放方面的重要性。地方政府不仅要关注大城市群的碳排放减少,还需要为以工业为主的中小城镇制定计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6792/9915244/096c92682289/ijerph-20-02659-g002.jpg

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