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农学学报

农学学报 ›› 2012, Vol. 2 ›› Issue (11): 59-67.

• 三农问题研究 农村产业结构 • 上一篇    下一篇

江西省粮食产量市域差异性及空间格局分析

刘顺 黄国勤   

  • 收稿日期:2012-07-02 修回日期:2012-08-01 出版日期:2012-11-20 发布日期:2012-11-20
  • 基金资助:

    国家科技支撑计划课题专题“江南丘陵区双季稻田周年多作复合共生种植技术研究与示范”

Analysis on Spatial Pattern of Grain Production and Difference Among Cities in Jiangxi Province

  • Received:2012-07-02 Revised:2012-08-01 Online:2012-11-20 Published:2012-11-20

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摘要：

根据2000—2010年江西省及各市粮食统计资料，引入基尼系数和泰尔指数对江西省粮食产量的市域差异程度进行测算，并计算各市粮食比重与时间变量的相关性，分析省内粮食产量差异的变化格局。研究结果显示：（1）2000—2010年粮食产量呈现减小-增大的波动趋势，产量增长幅度较弱；粮食播种面积的变化趋势与粮食产量的变化趋势一致。（2）基尼系数和泰尔指数在反映江西省粮食产量市域差异的程度方面存在高度的一致性，基尼系数和泰尔指数与时间变量的线性回归结果分别为：G=0.0039(t-1999)+0.1477和T=0.0021(t-1999)+0.0341，相关系数为0.949和0.956。（3）江西省粮食产量市域差异呈现扩大的趋势。（4）江西省主要粮食作物种类稻谷对基尼系数的贡献率最大，超过95%。（5）稻谷对基尼系数的贡献率整体呈现先上升后下降，较平缓的变化趋势。（6）通过对粮食产量占全省比重与时间变量的线性回归结果可将各市粮食产量占全省比重划分为极显著上升区、显著上升区、极显著下降区、比重稳定区的空间格局。

关键词: 水稻干尖线虫, 水稻干尖线虫, 海藻糖酶, 高渗透压胁迫, 原位杂交, Q-PCR

Abstract:

In this paper, the difference of grain production among cites was calculated by adopting Gini coefficient and Theil index, methods of correlative analysis were adopted to calculate the correlations between grain production and time variable to analysis change pattern of grain production difference among cities, based on grain production statistical date of Jiangxi Province from 2000 to 2010. The result showed: (1) The trend of grain production showed reduce-increase, the production growth rate was weak, the trend of total sown areas of grain crops’ change was similar to grain production. (2)There was a good consistence between Gini coefficient and Theil index in reflecting the degree of the difference of grain production among cities in Jiangxi Province, the linear regression results about Gini coefficient and Theil index with time variable were as followes: G=0.0039(t-1999)+0.1477 and T=0.0021(t-1999)+0.0341, the correlation coefficient was 0.949 and 0.956. (3)The tendency of difference of grain production among cities in Jiangxi Province presented expansion trend. (4)Paddy, as major grain crop, its contribution on the Gini coefficient was biggest, more than 95%. (5)The contribution of paddy to Gini coefficient tends to rise at first, then fall, and becomes flat at last. (6)Based on grain production in different cities and result of analysis on time variable regression, the province can be divided into four districts, which was a very significantly increased district, significantly increased district, a very significantly decreased district, the proportion of stable district.