Multidimensional Information Analysis of Land Circulation Based on Right to Rural Land Contractual Management Registration: Taking Xin Town as an Example

The land circulation informationization is the basis for the agricultural land big data collection, and its multidimensional information management is necessary for agricultural land use. Data of the right to rural land contractual management registration makes the land and its interrelated information clearly, as contractor, area and position by Geographic Information Systems (GIS). In this paper, we discussed how to combine that data with the land circulation information for multidimensional and precise spatial-temporal management, and to excavate and visualize the results, in order to support the agricultural land use plan. Taking Xin Town as an example, which located in the southeast of Naiman, Tongliao, Inner Mongolia, based on its data of the right to rural land contractual management registration in 2015, we made a survey to get the land circulation information including the use of parcels and assignors from 1997 to 2015. Using ArcGIS 10.4 for spatial query, spatial-temporal analysis and spatial auto-correlation analysis to process data, we researched information management from land, people and economy. Then we tried to excavate and visualize the data, including land circulation parcels and their spatial-temporal evolution, the population and age distribution of the assignors, the relationship between transferred land and migrant workers, the relationship between transferred land and its price. Our results show that the parcels were fragmented by topography restrictions. The scope of land circulation was gradually increased from 8hm2 in 1997 to 937.61hm2 in 2015. In 2015, the ratio of land circulation was 3.02%, and the ratio of circulation participation was 1.43%. The ratio of parcels of land circulation was 3.13%, and the farmers' willingness to transfer land was 1.24. The average land circulation area of village was 26.04hm2. 62.94% of the land continued to grow corn without changing its original purpose, and 35.03 % of the land changed its use to grow vegetables in the southeast town. The circulation period ranged from 1 to 30 years, of which large account of land circulation was 1–5 years, accounting for 75.98%, and 21–30 years was the least, accounting for 2.94%. The results can be visualized multidimensional and presented a spatial trend in time. The number of assignors accounted for 2.42 % of the total of rural households. The average transferred land area of the assignors was 4.88hm2, and was large in the western town. The population of assignors was mainly three or four. The migrant workers in the town were mostly young and middle-aged, and in the west and north. The prices of transferred land were high in the north and central regions, and were low in the northwest and southeastern. We found that the spatial distribution of the land circulation in the whole town had a certain impact on both the number of migrant workers and price of the land circulation, but there was no agglomeration. The results provide a basis for the research of agricultural land big data, and an idea for the spatial-temporal and precise information management analysis of land circulation in China.