引用本文
  •    [点击复制]
  •    [点击复制]
【打印本页】 【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 713次   下载 520 本文二维码信息
码上扫一扫!
基于农地确权数据的流转土地价格与农村人口的空间关系——以观音滩镇为例
薛春璐1,2,裴志远2*,郭琳2
0
(1.中国农业科学院 农业信息研究所, 北京 100081;2.农业农村部规划设计研究院/农业农村部耕地利用遥感重点实验室, 北京 100121)
摘要:
为给农地确权数据成果拓展应用和流转土地空间信息数字化精细管理提供支撑,以湖南省观音滩镇为例,基于农地确权数据和土地流转数据,首先从经济学角度,利用土地基尼系数研究土地流转面积及空间分布的合理性;然后依据地租理论和人地关系理论,从空间角度研究流转土地价格及其相关人口的关系,利用空间自相关分析法研究外出打工人数、流转土地价格与流转地块空间位置的关系。结果表明:到2015年,观音滩镇仅有9.03%的承包地流转,流转土地呈现东部扩张,向北部延伸,西部零星分布的势态;流转土地面积及其空间结构基尼系数分别为0.557和0.555,表明流转土地面积和空间结构不合理,需要人为进行管理把控;3.89%的农户为流转土地农户,其中外出打工人口年龄主要在19~40岁;土地流转之后,外出打工人口数量在全镇空间上正相关关系不显著,而在北部呈现“高-高”集聚,中东部“低-低”集聚;土地流转价格在全镇空间上有正相关关系,土地流转价格的局部空间集聚性在流转土地外出打工人数多少和不同的土地流转时间有所体现。研究发现农地确权成果数据可支撑土地流转信息化管理,流转价格是级差地租的体现,流转土地不同年龄段人口的劳动力分配也是人地关系的相互作用与协调的结果。本研究可为发展农村适度规模经营、优化农地资源配置、提高劳动力利用率和实现农地精细管理提供参考依据。
关键词:  土地流转  确权  土地基尼系数  空间自相关  土地价格  人口
DOI:10.11841/j.issn.1007-4333.2021.09.23
投稿时间:2021-02-19
基金项目:农业农村部农业行业管理项目(2130112);中国农业科学院农业信息研究所创新工程项目(2020CX016)
Spatial relationship between the transferred land price and the rural population based on the land ownership data: A case study of Guanyintan Town
XUE Chunlu1,2,PEI Zhiyuan2*,GUO Lin2
(1.Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China;2.Academy of Agricultural and Planning Engineering/Key Laboratory of Cultivated Land Use of Ministry ofAgriculture and Rural Affairs, Beijing 100121, China)
Abstract:
For supporting the digital precise management of circulating land spatial information, this study took Guanyintan town in Hunan province as an example and based on the land ownership data and the land transfer data, firstly, from an economic perspective, using land Gini coefficient to determine whether the land transfer area and spatial distribution were reasonable. Secondly, based on the land rent theory and man-land relationship theory, the relationship between the land transfer price and its related population was studied in spatial. Using the spatial autocorrelation analysis method to explore the spatial relationship between the land transfer price, the number of migrant workers and the location of the land transfer. The study area was in the hills. The results show that, in 2015, only 9. 03% of the contracted land was transferred. The transferred land showed a trend of expansion in the east and north, and sporadic distribution in the west. The Gini coefficients of the transferred land area and its spatial structure were 0. 557 and 0. 555, respectively, indicating that the transferred land area and spatial structure were unreasonable and require human management and control. The rural households with 3. 89% involved in the land circulation, and migrant workers mainly aged in 19-40 years old. After land transferred, the spatial relationship of migrant workers numbers had no significant positive correlation in the whole study area, and the local gathered in some villages of north with “High-High” state, and in some villages of middle-east with “Low-Low” state. The land transfer price has a positive correlation in the whole study area. The local spatial agglomeration of land transfer prices was reflected in the number of migrant workers of the transferred land and different land transfer times. The research results showed that the agricultural land right confirmation result data can support the land transfer information management. The transfer price was the embodiment of differential rent, and the labor of different age groups on the transferred land was also the result of the interaction and coordination of the man-land relationship. The study provides references to develop appropriate scale operation of the land, optimize the allocation of agricultural land resources, improve the utilization rate of labor force and provide a reference for the realization of precise management of agricultural land.
Key words:  land circulation  right to rural land management registration  land Gini coefficient  spatial autocorrelation  land price  population