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| 新疆农业碳排放时空演变与区域差异 |
| Spatiotemporal Evolution and Regional Differences of Agricultural Carbon Emissions in Xinjiang |
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| DOI： |
| 中文关键词: 农业碳排放 时空演变 区域差异 核密度估计 新疆 |
| 英文关键词: Agricultural carbon emissions Spatiotemporal evolution Regional differences Kernel density estimation Xinjiang |
| 基金项目:国家社会科学基金资助项目（16XMZ090）；塔里木大学校长创新研究团队基金资助项目（TDSKCX202201） |
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| 中文摘要: |
| 采用核密度估计、Morans I和Dagum基尼系数研究2012—2021年新疆农业碳排放的分布特征和演变规律。结果表明：2012—2021年新疆农业碳排放量从24697×104t增至29182×104t，增加了1816%，经历了“上升—平稳—下降”3个阶段。高碳排区主要集中在南疆的阿克苏地区、喀什地区，以及北疆的塔城地区。地区间农业碳排放量的绝对差异逐渐扩大，2017年后虽然有缩小趋势，但差异仍然明显。农业碳排放量数值分布的极化现象虽然存在，但有所减弱。全局Morans I显著为负，说明新疆农业碳排放存在显著经济空间负相关性，局部Morans I显示，多数样本位于第二、四象限，与全局Morans I相印证。总体基尼系数由0498增至0535，经历了“平稳—上升”两个阶段，区域间差异是新疆农业碳排放量空间差异的主要原因。 |
| 英文摘要: |
| The distribution characteristics and evolution of agricultural carbon emissions in Xinjiang from 2012 to 2021 were studied by means of kernel density estimation， Morans I and Dagum Gini coefficient. The results showed that Xinjiangs agricultural carbon emissions increased from 24697×104 t to 29182×104 t from 2012 to 2021， representing an increase of 1816%， and experienced three stages of “rise steady decline”. The high carbon emission areas were mainly concentrated in Aksu Prefecture and Kashgar Prefecture in Southern Xinjiang， as well as Tacheng Prefecture in Northern Xinjiang. The absolute differences of agricultural carbon emissions between regions gradually expanded. Although there was a decreasing trend after 2017， the differences remained obvious. The polarization in the numerical distribution of agricultural carbon emissions existed， but it weakened to a certain extent. The global Morans I was significantly negative， indicating that there was a significant economic spatial negative correlation in Xinjiangs agricultural carbon emissions. The local Morans I showed that most of the samples were located in the second and fourth quadrants， which was consistent with the global Morans I. The overall Gini coefficient increased from 0498 to 0535， experiencing two stages of “steady rising”. Inter regional differences were the primary cause of spatial differences in agricultural carbon emissions in Xinjiang. |
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