[1]ZHANG Lu-lu,ZHANG Yue-guo,LIU Rui-qing,et al.Spatial Disparity and Dynamic Evolution of Grain Yield Per Unit Area and Its Driving Factors in Hebei Province[J].Research of Soil and Water Conservation,2011,18(02):192-197.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
18
Number of periods:
2011 02
Page number:
192-197
Column:
Public date:
2011-04-20
- Title:
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Spatial Disparity and Dynamic Evolution of Grain Yield Per Unit Area and Its Driving Factors in Hebei Province
- Author(s):
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ZHANG Lu-lu1, ZHANG Yue-guo2, LIU Rui-qing1, XU Hao1, CHEN Ya-heng1
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1. College of land Resource, Agricultural University of Hebei, Baoding 071001, China;
2. Yixian Water Authority, Baoding, Hebei 074200, China
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- Keywords:
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grain yield per unit area; regional disparity; Theil index; spatial autocorrelation; Hebei Province
- CLC:
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F307.11
- DOI:
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- Abstract:
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The purpose of this study is to investigate the regional disparity and dynamic evolution patterns of grain yield per unit area and its driving factor using the Theil index, spatial autocorrelation and grey relation based on statistical data during last twenty years. The results indicate that: (1)The overall and interregional disparity of different cultivation areas tend to be lower, while the differentiations exist in different intraregional of cultivation areas. The intraregional disparity of the plain region of the east Taihang and Yanshan Mountains, the geomorphologic low region of Jinjiluyu and the plateau region of Tangshan reduced gradually, while the Liaojiximeng and southeast of North Mountain Area show the increasing process. The internal disparity contribution ratio to the overall disparity decreased; (2)The tendency of spatial concentration was declining during the study. From local spatial cluster, the aggregation of core production area appear to be different. The area Shijiazhuang city as the central, keep the pace of grain production, but Tangshan and Qinhuangdao city, appeared to be one-performer recently; (3)Grey relation analysis shows that the main agent for grain yield per hectare situation is the change of agricultural input, then agricultural products price and natural disaster. Machinery dynamic, the amount of unit aera using land and rural per-capita net income affect grain yield per hectare relatively less. It is concluded that the method of ESDA could reveal the regional disparity and dynamic evolution patterns of grain yield per unit area effectively, detectiving gather and abnormality of regional grain production. It could provide scientific basis for macroscopic distribution and optimization on regional grain production.