Spatio-Temporal Evolution Characteristics and Influencing Factors of Urban Service-Industry Land in China
Spatio-Temporal Evolution Characteristics and Influencing Factors of Urban Service-Industry Land in China
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DOI：
10.3390/land11010013
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发表时间：
2021-12
期刊：
影响因子：
3.9
通讯作者：
Sidong Zhao;Kaixu Zhao;Yiran Yan;Kai Zhu;Chiming Guan
中科院分区：
文献类型：
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作者：
Sidong Zhao;Kaixu Zhao;Yiran Yan;Kai Zhu;Chiming Guan
服务业发展水平已成为衡量城市竞争力和影响力的重要标志。研究城市服务业用地的动态演变特征和模式、驱动因素及其相互作用，有助于为发展服务经济的政策设计和土地利用规划提供决策依据。本研究基于空间冷热点分析、塔皮奥解耦模型和GeoDetector等方法，对中国进行了实证研究。研究发现：(1)服务业用地规模、产出效率和发展强度呈上升趋势，分别呈“J”型、“U”型和“倒U”型；(2)空间分异和集聚显著，服务业用地规模空间格局稳定，冷热点分布呈梯度分布。产出效率和开发强度的空间优势单元由低而低向高而高转变，冷热点集聚；(3)服务业发展高度依赖国土资源投入，只有少数省份处于强脱钩状态，多数省份处于弱脱钩状态，相当一部分仍处于扩张耦合、膨胀负脱钩甚至强负脱钩状态；(4)服务业土地利用变化驱动因素较多，相互之间的关系日益复杂多样，规模效应大小依次为信息化与全球化、工业化与城市化。
The level of service-industry development has become an important symbol of the competitiveness and influence of cities. The study of the dynamic evolution characteristics and patterns of urban service-industry land use, the driving factors and their interactions is helpful to provide a basis for decision making in policy design and land use planning for the development of service economies. In this study we have conducted an empirical study of China, based on the methods of spatial cold- and hot-spot analysis, Tapio’s decoupling model, and GeoDetector. We found that: (1) the scales of land use, output efficiencies and development intensities of service-industries are increasing with a trend that takes the form of a “J”, “U” and “inverted U”, respectively; (2) Spatial variabilities and agglomerations are significant, with a stable spatial pattern of the scale of service-industry land use, and a gradient in the distribution of cold- and hot-spots. The dominant spatial units of output efficiency and development intensity have changed from low and lower to high and higher, and the cold- and hot-spots gather in clusters; (3) The development of service-industries is highly dependent on the input of land-resources, and only a few provinces are in a state of strong decoupling, while most are in a state of weak decoupling, with quite a few still in a state of expansive coupling, expansive negative decoupling, or even strong negative decoupling; (4) There are many driving factors for land use changes in the service-industry, with increasingly complicated and diversified relationships between each other, ranked in intensity as the scale effect > informatization > globalization > industrialization > urbanization.