Structural characteristics and formation mechanism of spatial correlation network of grain production in China

被引：0
|
作者：
Feng Y. [1 ,2 ]
Hou M. [3 ,4 ]
Yao S. [3 ,4 ]
机构：
[1] Business School, Northwest University of Political Science and Law, Xi'an
[2] Institute of Resource Conflict and Utilization, Northwest University of Political Science and Law, Xi'an
[3] College of Economics & Management, Northwest A&F University, Yangling
[4] Research Center for Resource Economics and Environment Management, Northwest A&F University, Yangling
来源：
Dili Xuebao/Acta Geographica Sinica | 2020年 / 75卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Formation mechanism; Grain production; Quadratic assignment procedure (QAP); Social network analysis method (SNA); Spatial correlation network; Structural characteristics;
D O I：
10.11821/dlxb202011008
中图分类号：
学科分类号：
摘要：
Based on the panel data of China's inter-provincial grain production from 1996 to 2018, the modified gravity model was used to accurately calculate the spatial correlation of grain production and build a spatial correlation matrix. Firstly, the structural characteristics of grain production spatial correlation network were investigated from three aspects: overall characteristics, individual characteristics and block model through the social network analysis method (SNA) and then, the quadratic assignment procedure (QAP) method was used to explore its formation mechanism. The study found that: (1) The level of inter-provincial spatial correlation of grain production increases in fluctuation, but there is still room for improvement. The network structure shows better stability and accessibility, and the spillover effect has multiple superposition. (2) The inter-provincial spatial correlation network of grain production presents a significant core-edge distribution pattern of major grain-producing areas, main-sales areas and grain balance areas, and the major grain-producing areas are at the core position in the network, and the grain main-sales areas and the balance areas are at the edge. (3) The spatial correlation network of grain production can be divided into four functional blocks, namely, net spillover block, main beneficial block, broker block and bidirectional spillover block, and the spillover effect between blocks are featured by obvious gradient transmission. (4) The combined effect of natural endowment conditions and socio-economic factors promote the formation of spatial correlation network of grain production. The geographical proximity, differences in economic development, rural labor scale, mechanical service scale and cultivated land resources, and the similarity of precipitation and sunshine hours have significant impacts on the formation of spatial correlation network of grain production. The conclusions are of great significance for us to grasp the spatial transmission mechanism, realize the cross-regional coordination and formulate differentiated grain policies in China. © 2020, Science Press. All right reserved.
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页码：2380 / 2395
页数：15
相关论文
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