TY - JOUR
T1 - Analyzing agricultural agglomeration in China
AU - Li, Erling
AU - Coates, Ken
AU - Li, Xiaojian
AU - Ye, Xinyue
AU - Leipnik, Mark
N1 - Funding Information:
We would like to thank the anonymous referee whose comments and suggestions were very helpful in improving the quality of this paper. We also acknowledge the funding of the National Natural Science Foundation of China (41471105; 41430637; 41471117; and 41329001), China Postdoctoral Science Foundation (2013M531667; 2014T70672), the program for Innovative Research Team (in Science and Technology) in University of Henan Province (16IRTSTHN012) and The major projects of Ministry of education for humanities and social science key research base, China (15JJDZONGHE008, and 13JJD790008). We also would like to greatly thank Professor Murray Fulton, Johnson-Shoyama Graduate School of Public Policy, University of Saskatchewan for his helpful comments on the analytical framework, and we would like to greatly thank Professor Ronald Briggs, GIS Programs, University of Texas at Dallas, for his constructive suggestions and comments on this paper.
Publisher Copyright:
© 2017 by the author.
PY - 2017
Y1 - 2017
N2 - There has been little scholarly research on Chinese agriculture's geographic pattern of agglomeration and its evolutionary mechanisms, which are essential to sustainable development in China. By calculating the barycenter coordinates, the Gini coefficient, spatial autocorrelation and specialization indices for 11 crops during 1981-2012, we analyze the evolutionary pattern and mechanisms of agricultural agglomeration. We argue that the degree of spatial concentration of Chinese planting has been gradually increasing and that regional specialization and diversification have progressively been strengthened. Furthermore, Chinese crop production is moving from the eastern provinces to the central and western provinces. This is in contrast to Chinese manufacturing growth which has continued to be concentrated in the coastal and southeastern regions. In Northeast China, the Sanjiang and Songnen plains have become agricultural clustering regions, and the earlier domination of aquaculture and rice production in Southeast China has gradually decreased. In summary, this paper provides a political economy framework for understanding the regionalization of Chinese agriculture, focusing on the interaction among the objectives, decision-making behavior, path dependencies and spatial effects.
AB - There has been little scholarly research on Chinese agriculture's geographic pattern of agglomeration and its evolutionary mechanisms, which are essential to sustainable development in China. By calculating the barycenter coordinates, the Gini coefficient, spatial autocorrelation and specialization indices for 11 crops during 1981-2012, we analyze the evolutionary pattern and mechanisms of agricultural agglomeration. We argue that the degree of spatial concentration of Chinese planting has been gradually increasing and that regional specialization and diversification have progressively been strengthened. Furthermore, Chinese crop production is moving from the eastern provinces to the central and western provinces. This is in contrast to Chinese manufacturing growth which has continued to be concentrated in the coastal and southeastern regions. In Northeast China, the Sanjiang and Songnen plains have become agricultural clustering regions, and the earlier domination of aquaculture and rice production in Southeast China has gradually decreased. In summary, this paper provides a political economy framework for understanding the regionalization of Chinese agriculture, focusing on the interaction among the objectives, decision-making behavior, path dependencies and spatial effects.
KW - Agricultural clusters
KW - Agricultural evolution
KW - China
KW - Geographical agglomeration
KW - Spatial analysis
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U2 - 10.3390/su9020313
DO - 10.3390/su9020313
M3 - Article
AN - SCOPUS:85013499813
SN - 2071-1050
VL - 9
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 2
M1 - 313
ER -