JOURNAL OF NATURAL RESOURCES ›› 2018, Vol. 33 ›› Issue (2): 246-261.doi: 10.11849/zrzyxb.20161450

• Resource Economics • Previous Articles     Next Articles

Spatial Features of Agricultural Growth by County from the Perspective of Industrial Structure

LIU Yu1, 2, TANG Xiu-mei1, 2, PAN Yu-chun1, 2, HU Yue-ming3   

  1. 1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;
    2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China;
    3. School of Information, South China Agriculture University, Guangzhou 510642, China
  • Received:2016-12-28 Revised:2017-03-16 Online:2018-02-23 Published:2018-02-23
  • Supported by:
    Social Science Foundation of Beijing City, No. 15JGC167; Science and Technology Innovation Ability Construction Project of Beijing Academy of Agriculture and Forestry Sciences, No. KJCX20170503 and KJCX20170501.

Abstract: A systematic revelation of the spatial features of growth in regional farming, forestry, animal husbandry and fishery from the perspective of industrial structure is conducive to the formulation of scientific agricultural development strategy. Based on the Esteban-Marquillas model, the study divides the agricultural growth into the weights of share, industrial structure, net competition and resource allocation. With the ESDA approach, the study carries out a systematic analysis on the spatial features of the growth in farming, forestry, animal husbandry and fishery at county level in Beijing-Tianjin-Hebei region from 2000 to 2014. The results are as follows: 1) From 2000 to 2014, the farming, forestry, animal husbandry and fishery in Beijing-Tianjin-Hebei region showed a growing trend with farming and animal husbandry being the major growing industries. 2) The agricultural growth at county level in Beijing-Tianjin-Hebei region shows obvious agglomerations, and the order of agglomeration degree in different industries from high to low is fishery, animal husbandry, forestry and farming. In terms of the four kinds of weights, the weights of share and industrial structure have the strongest agglomeration effect, and their agglomeration effect in different industries from high to low is fishery, animal husbandry, forestry and farming. The weights of net competition and resource allocation have agglomeration effects only in farming and animal husbandry, and their agglomeration effects in framing are the strongest. The high-high (or low-low) agglomerations of the four weights have low overlap, that is to say, the industrial pattern at county level in Beijing-Tianjin-Heibe need to be optimized. 3) The counties of Type Ⅰ (competitive advantages and high level of specialization) and Type Ⅳ (competitive disadvantages and low level of specialization) which have relatively reasonable agricultural resource allocation account for less than 50% (except for fishery). This shows that the comparative advantages of agricultural resource allocation at county level are not obvious and it lacks of coordination and division of responsibilities among counties. For the purpose of coordinated development of agriculture, a top-level design is needed to strengthen economic exchanges and industrial cooperation among counties. It is suggested to develop and implement differentiated agricultural development strategy and guide the flow of resources in case of excessive competition, and resource allocation efficiency should be improved to accelerate the agricultural structure and layout optimization.

Key words: agricultural growth, Beijing-Tianjin-Hebei region, county region, Esteban-Marquillas extended model, Shift Share Method

CLC Number: 

  • F329.9