安徽省城市土地绿色利用效率时空分异及其影响因素
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F301.24,X321

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安徽省自然科学基金项目“'碳中和’目标下皖北地区城市公园绿地生态效益评价及价值估算研究”(2308085ME183); 安徽省高校省级人文社会科学研究优秀青年项目(2022AH030030); 安徽省建筑大学校科研平台开放课题(XTCX2024ZR01)


Spatiotemporal differentiation and influencing factors of urban land green utilization efficiency in Anhui Province
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    摘要:

    [目的] 探究城市土地绿色利用效率时空分异及影响因素,为优化国土空间开发保护格局、推动城市土地可持续发展提供科学依据。[方法] 运用SBM方向性距离函数(SBM-DDF)模型测度安徽省2008—2022年城市土地绿色利用效率值,选取核密度分析和重心迁移模型分析时空分异特征,联合地理探测器和地理时空加权回归(GTWR)模型研究其影响因素。[结果] ①2008—2022年内安徽省城市土地绿色利用效率均值为0.77,整体分为2008—2014年直线下降和2015—2022年波动上升两个阶段。②区域内存在两极分化现象,中低值区城市有所增加、高值区城市较为稳定,地区差距逐渐扩大;全省效率值重心轨迹先向东南再向西北迁移,西北较东南地区改善更为明显,但仍为“南高北低”非均衡空间特征。③主导因素依次为环保投入、城乡结构、城市绿化、环境规制和产业结构,其中产业结构和环保投入交互作用最强,q值为0.82;各因素空间异质性显著,城市绿化对所有城市均影响为正,城乡结构、环境规制、环保投入对中部和南部地区影响为正、对北部地区影响为负,产业结构对资源型城市负向影响突出。[结论] 应通过严格土地用途管制,促进产业结构升级,加大生态环保力度,强化整体协作发展,制定差异发展路径,助推安徽省城市土地绿色利用效率全面提升。

    Abstract:

    [Objective] The spatial and temporal variations in urban land green utilization efficiency and the influencing factors were investigated to provide a scientific basis for optimizing the development and protection patterns of national land space and promoting the sustainable development of urban land. [Methods] The slack-based measure-directional distance function (SBM-DDF) model was used to measure the land green utilization efficiency of urban land in Anhui Province from 2008 to 2022. Kernel density analysis and center of gravity migration models were selected to analyze the spatial and temporal variations, while the geodetector and geographic time weighted regression (GTWR) models were combined to study the factors influencing urban land utilization efficiency. [Results] ① The average value of green land utilization efficiency of urban land in Anhui Province from 2008 to 2022 was 0.77 and was divided into two phases: a straight-line decline from 2008 to 2014 and a fluctuating increase from 2015 to 2022. ② Polarization phenomena were observed in the region, with the low value of the city increasing, the high value being more stable, and the regional gap gradually expanding. The gravity center trajectory of efficiency value of the whole province moved first to southeast and then to northwest, and the improvement was more obvious in northwest than in southeast. Although it remained high in the south and low in the north, indicating unbalanced spatial characteristics. ③ The leading factors were environmental protection inputs, urban and rural structures, urban greening, environmental regulation, and industrial structure, the interaction between industrial structure and environmental protection inputs was the strongest, with a q-value of 0.82. The spatial heterogeneity of the leading factors was significant: urban greening influenced all cities positively; urban and rural structure, environmental regulation, and environmental protection inputs influenced the central and southern regions positively and the northern region negatively; and the industrial structure influenced the resource cities negatively. Industrial structure has a significant negative influence on resource-oriented cities. [Conclusion] Strict land use control, promotion of industrial structure upgrading, increasing ecological and environmental protection, strengthening overall collaborative development, and formulating differentiated development paths should be used to promote the overall improvement of green land use efficiency in the urban areas of Anhui Province.

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马明,毛理虎,刘宇戈,李久林,姚晓洁.安徽省城市土地绿色利用效率时空分异及其影响因素[J].水土保持通报,2025,45(1):306-316

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  • 收稿日期:2024-08-11
  • 最后修改日期:2024-11-05
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  • 在线发布日期: 2025-02-22
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