| 甘肃省碳排放时空演变及其影响因素的多尺度 |
| 摘要点击 2882 全文点击 623 投稿时间：2024-06-28 修订日期：2024-09-13 |
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| 中文关键词 碳排放 时空演变 多尺度 甘肃省 地理探测器 |
| 英文关键词 carbon emission spatial and temporal evolution multi-scale Gansu Province geodetector |
| DOI 10.13227/j.hjkx.202406275 |
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| 中文摘要 |
| 实现区域的高质量发展,满足人民群众对于良好生态环境的需要是当前社会发展的目标之一. 以甘肃省为例,基于多尺度视角,运用空间自相关、冷热点以及地理探测器分析1992~2021年甘肃省碳排放的时空变化以及其影响因素. 结果表明：①1992~2021年甘肃省碳排放总量波动上升,但增速在不断下降；②从增长类型看,不论市州尺度还是县级尺度,低增长主要集中在经济相对发达的区县,高增长主要集中在经济欠发达的区县；③甘肃省碳排放在县级尺度上呈现显著的全局空间正相关,集聚能力先减弱后增强,高-高集聚区由陇中向陇东移动,低-低聚集区分布在甘肃南部；④影响因素对碳排放的影响力随研究尺度的放大趋于增长,地区生产总值对碳排放空间分异的影响力一直保持较高水平. 无论是市州尺度还是县级尺度,单因子对碳排放的解释力比各因子交互作用下的解释力弱. |
| 英文摘要 |
| It is one of the goals of current social development to achieve regional high-quality development and meet people's needs for an ecological environment. Taking Gansu Province as an example, the spatial and temporal changes in carbon emissions in Gansu Province from 1992 to 2021 and their influencing factors are analyzed based on a multi-scale perspective using spatial autocorrelation, cold hotspots, and geographic probes. The results showed that： ① The total carbon emissions in Gansu Province fluctuated and increased from 1992 to 2021, but the growth rate was decreasing. ② In terms of the type of growth, low growth was mainly concentrated in the relatively economically developed districts and counties, and high growth was mainly concentrated in the economically underdeveloped districts and counties, regardless of the city and state scales or county scales. ③ Carbon emissions in Gansu Province showed a significant global spatial positive correlation at the county scale, with the aggregation capacity weakening and then increasing, the high-high aggregation area moving from Longzhong to Longdong, and the low-low aggregation area distributed in the south of Gansu. ④ The influence of factors on carbon emissions tended to grow with the enlargement of the study scale, and the influence of regional GDP on the spatial differentiation of carbon emissions has been maintained at a high level. Whether at the city-state scale or the county scale, the explanatory power of a single factor on carbon emissions was weaker than the interaction of the factors. |
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