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| 黄河流域城镇土地经济密度多尺度空间格局及影响因素分析 | |
| 引用本文： | 梁流涛,杨泞溪,区志源,王森,史茵茵,陈笑,孙玙璠.黄河流域城镇土地经济密度多尺度空间格局及影响因素分析[J].地理科学,2021,41(8):1336-1344. |
| 作者姓名： | 梁流涛 杨泞溪 区志源 王森 史茵茵 陈笑 孙玙璠 |
| 作者单位： | 1. 河南大学黄河中下游数字地理技术教育部重点实验室，河南 开封 475004 2. 河南大学地理与环境学院，河南 开封 475004 |
| 基金项目： | 国家自然科学基金项目（41771565）、河南省高校科技创新人才（人文社科类）支持计划（2019-cx-014） |
| 摘 要： | 基于2018年多时空高分辨率全球城市边界解译数据，从省域、市级和县区级3个尺度测算黄河流域城镇土地经济密度，并综合应用泰尔指数、空间自相关分析、地理探测器探等方法探讨其空间格局及影响因素。研究结果显示：① 黄河流域城镇土地经济密度总体不高，在县区尺度上68.3%的县区土地经济密度低于平均水平，空间分布总体上呈东高西低的态势，高土地经济密度的县区主要集中在以郑州为中心的中原城市群和山东沿海地区；在市级尺度上，57.5%的城市土地经济密度低于平均值，空间分布上集中在中下游地区，空间分布不均衡，以河南省最为显著。② 黄河流域城镇土地经济密度在地市尺度和县区尺度都表现为显著的空间正相关，其中高值集聚区（HH）集中在中原城市群和山东半岛城市群，低值集聚区（LL）集中在陕、甘、宁等西部地区，低值异质区镶嵌分布在中原城市群和山东半岛城市群周围。不同尺度上的空间集聚区的空间分布范围也表现一定的差异，在县区尺度表现出了局部性和分散性特征。③ 人均GDP、人口规模、地方财政科技教育投入、二三产业劳动力密度、区位质量指数等对黄河流域城镇土地经济密度影响较大。同时在黄河流域上游、中游和下游地区表现一定的差异性，总体来说，资本投入强度、人均GDP和区位质量指数对于上游、中游和下游的城镇土地经济密度都有较高的解释能力。 |
| 关 键 词： | 土地经济密度 生态约束 多尺度 黄河流域 |
| 收稿时间： | 2021-01-26 |
Multi-scale Spatial Pattern of Urban Land Economic Density and Its Influencing Factors in the Yellow River Basin |
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| Liang Liutao,Yang Ningxi,Ou Zhiyuan,Wang Sen,Shi Yinyin,Chen Xiao,Sun Yufan.Multi-scale Spatial Pattern of Urban Land Economic Density and Its Influencing Factors in the Yellow River Basin[J].Scientia Geographica Sinica,2021,41(8):1336-1344. | |
| Authors: | Liang Liutao Yang Ningxi Ou Zhiyuan Wang Sen Shi Yinyin Chen Xiao Sun Yufan |
| Institution: | 1. Key Laboratory of Digital Geography and Technology in the Middle And Lower Reaches of the Yellow River, Henan University, Kaifeng 475004, Henan, China 2. College of Geography and Environmental Science, Henan University, Kaifeng 475004, Henan, China |
| Abstract: | With the accelerating process of urbanization and industrialization in China, the coexistence of excessive non-agricultural farmland and low efficiency of urban land use is becoming increasingly serious. So taking the Yellow River Basin as the research object, it is of great theoretical and practical significance to analyze the spatial pattern of urban land economic density in the Yellow River Basin from the provincial, municipal and county level. Taking 8 provinces and regions (Gansu, Qinghai, Shaanxi, Shanxi, Henan, Inner Mongolia, Ningxia and Shandong) in the Yellow River Basin as the research objects, based on the multi-temporal and high-resolution global urban boundary interpretation data in 2018, the urban land economic density of the Yellow River Basin was calculated from the provincial, municipal and county-level scales. The spatial pattern of urban land economic density in the Yellow River Basin was discussed by using the methods of Theil index, global and local spatial autocorrelation analysis. With the help of geographical detector, the influencing factors of urban land economic density were analyzed. The results show that: 1) The economic density of urban land in the Yellow River Basin is generally not high. At the county scale, 68.3% of the counties are lower than the average level; At the municipal level, 57.5% of cities are below the average. 2) There is a significant spatial positive correlation of urban land economic density in the Yellow River Basin. The high value agglomeration areas (HH) are concentrated in the Central Plains urban agglomeration and Shandong Peninsula urban agglomeration, the low value agglomeration areas (LL) are concentrated in the western China such as Shaanxi, Gansu and Ningxia. And the low-quality heterogeneous area is inlaid around the Central Plains urban agglomeration and Shandong Peninsula urban agglomeration. 3) In the whole Yellow River Basin, per capita GDP, population size, local financial investment in science, technology and education, labor density of secondary and tertiary industries and location quality index have a great impact on the economic density of urban land. There are some differences in the upper, middle and lower reaches of the Yellow River Basin. Generally speaking, capital investment intensity, per capita GDP and location quality index have high explanatory powers for the economic density of urban land in the upper, middle and lower reaches. |
| Keywords: | land economic density ecological constraints multi scale the Yellow River Basin |
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