Acta Geographica Sinica ›› 2020, Vol. 75 ›› Issue (11): 2380-2395.doi: 10.11821/dlxb202011008

• Land Use and Agricaltural Development • Previous Articles     Next Articles

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

FENG Ying1,2(), HOU Mengyang3,4, YAO Shunbo3,4()   

  1. 1. Business School, Northwest University of Political Science and Law, Xi'an 710122, China
    2. Institute of Resource Conflict and Utilization, Northwest University of Political Science and Law, Xi'an 710122, China
    3. College of Economics & Management, Northwest A&F University, Yangling 712100, Shaanxi, China
    4. Research Center for Resource Economics and Environment Management, Northwest A&F University, Yangling 712100, Shaanxi, China
  • Received:2019-11-27 Revised:2020-05-21 Online:2020-11-25 Published:2021-01-25
  • Contact: YAO Shunbo E-mail:yingfeng8410@126.com;yaoshunbo@163.com
  • Supported by:
    Social Science Fund of Shaanxi Province(2019S029);Key Fund for Humanities and Social Sciences of the Ministry of Education(14JJD790031);National Natural Science Foundation of China(71473195);Special Scientific Research Project of Shaanxi Provincial Education Department(016166523);Young Academic Innovation Team of Northwest University of Political Science and Law

Abstract:

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.

Key words: grain production, spatial correlation network, structural characteristics, formation mechanism, social network analysis method (SNA), quadratic assignment procedure (QAP)