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'Land Finance Division' of Urbanization Based on Clustering Analysis -A Case Study in Shandong Province

机译:基于聚类分析的城市化“土地金融部” - 山东省案例研究

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Based on specifying the connotation of land finance and its structure, this paper chose land granting income, cultivated land usage tax, deed tax, urban land use tax, land value-added tax and property tax;;built the per unit area of land transfer income, the average per unit area land tax revenue, the average land transfer income accounted for the proportion of local financial general budget revenue, and average land tax accounted for the proportion of local financial general budget revenue. By partitioning the land finance of Shandong province employing clustering analysis, the 17 cities were classified into five categories: high land price regions, high land tax regions, low land price regions, low land tax regions, and high land revenue regions. By summarizing the similarities of all these categories, the paper pointed out the land finance characters and its existing problems and discussed their future developments.
机译:基于指定土地金融的内涵及其结构,本文选择了土地授予收入,耕地使用税,契约税,城市土地利用税,土地增值税和财产税;陆地接地 收入,平均每单位土地税收收入,平均土地转移收入占当地金融总预算收入的比例,平均土地税占当地金融总预算收入的比例。 通过划分山东省雇用聚类分析的土地融资,17个城市分为五类:高地价格区,高地税收区,低土地价格区,低土地税收地区和高地收入地区。 通过总结所有这些类别的相似之处,本文指出了土地金融人物及其现有问题,并讨论了他们未来的发展。

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