JOURNAL OF NATURAL RESOURCES ›› 2019, Vol. 34 ›› Issue (7): 1440-1456.doi: 10.31497/zrzyxb.20190708

• Resource Evaluation • Previous Articles     Next Articles

Spatial pattern and evolution mechanism of China's soybean processing plants

YANG Xiao1,2, LIU Ai-min1, JIA Pan-na1,2, XUE Li1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-01-06 Online:2019-07-28 Published:2019-07-28

Abstract: With the improvement of the living standards of Chinese residents, the domestic demand for meat, eggs and milk has increased year by year. As the main food protein, soybean meal is the main product of the soybean processing industry. As an important part of the soybean industry chain, the soybean processing industry has influence on the distribution of soybean production, feed, and animal husbandry. This paper chooses the soybean processing plants from 1996 to 2016 as the study object. We explore the spatial pattern of China's soybean processing plants by using the average nearest neighbor analysis and nuclear density analysis method. Then we analyze the factors that influence the layout of soybean processing plants in different periods using the conditional Logit regression model. The results show that since 1996, the layout areas of China's processing plants have shifted from the main soybean producing areas to the coastal ports to soybean market area. Up to now, a belt-like pattern has formed, which takes the coastal port cities as the core, and the Yangtze River, Harbin-Dalian Railway and Longhai Railway as diffusion paths. Raw material supply, transportation cost, market size and potential, agglomeration and policy are all important factors which affect the spatial pattern of soybean processing plants and the main factors are different in different periods. Raw material supply, transportation cost, market size and agglomeration have the most important influence on the layout decisions of soybean processing plants from 2000 to 2015. But the agglomeration and policy were the dominant factors from 2006 to 2010 and it turned into market potential after 2010. The change of distribution of raw materials and soybean meal market lead to the change of transportation cost. The cost and expansion of soybean meal market attracted plants agglomeration from domestic soybean producing areas to the coastal port areas. With the agglomeration in the coastal ports, the increased competition among enterprises promoted the diffusion of enterprises from coastal port areas to soybean meal consumption areas.

Key words: conditional Logit regression model, evolution mechanism, impact factors of location, spatial pattern, soybean processing plants