|Table of Contents|

Spatial Distribution of Cultivated Land Reserve Resources in Jiangsu Province(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2017年01期
Page:
120-
Research Field:
·地理学·
Publishing date:

Info

Title:
Spatial Distribution of Cultivated Land Reserve Resources in Jiangsu Province
Author(s):
Ren Ya1; Fang Bin2; 3; 4
(1.Yangzhou National Territory Resources Bureau Guangling Branch,Yangzhou 225000,China)(2.New-Type Urbanization and Rural Land Issues Research Center,Nanjing Normal University,Nanjing 210023,China)(3.Jiangsu Center for Collaboration Innovation in Geogra
Keywords:
cultivated land reserve resource; spatial distribution; Jiangsu Province
PACS:
F323.211
DOI:
10.3969/j.issn.1001-4616.2017.01.018
Abstract:
In this paper,based on panel data and spatial data,spatial distribution characteristics of cultivated land reserve resources in Jiangsu Province are investigated by means of spatial Gini coefficient,centralization index and combinatorial coefficient. The results show that:(1)The amount of cultivated land reserve resources in Jiangsu increases from south to north,and the distribution of cultivated land resources in Jiangsu Province shows a general trend-northern Jiangsu>southern Jiangsu>central Jiangsu. Inland beaches are the main sources of the reserve resources,which are concentrated in the coastal areas along the Yellow River and the ancient lake.(2)With strong spatial agglomeration and high degree of centralization,about 70% of the county have a single class combination type and the structure is relatively simple.(3)The future of Jiangsu province is to develop tidal flat resources,carrying out remote compensation in order to achieve sustainable development and utilization in the province. Through empirical analysis,draw the conclusion:spatial distribution of cultivated land reserve resources is revealed and quantized by Gini coefficient,centralization index and combinatorial coefficient,which interpret the agglomerative characteristics and provide a scientific basis for the exploitation measures.

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