| 刘斌,张华琼.安徽省县域粮食产量及生产投入要素的空间差异分析[J].安徽建筑大学学报,2022,30(1):58-63 |
| 安徽省县域粮食产量及生产投入要素的空间差异分析 |
| Spatial Difference Analysis of Grain Yield and the Factors of Production at the County Level in Anhui Province |
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| DOI： |
| 中文关键词: 空间自相关 地理加权回归 粮食产量 |
| 英文关键词: spatial auto-correlation geographical weighted regression grain yield |
| 基金项目:国家自然科学基金资助项目（71571002）；安徽建筑大学科研项目（2016QD118） |
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| 中文摘要: |
| 基于 2017 年安徽省县域粮食产量和生产投入要素的数据，在 OLS 分析基础上，运用空间自相关分析 和 GWR 模型，探讨了研究区域内粮食产量及其影响因素的空间分布特征。结果表明：（1）粮食产量存在显 著的空间正自相关性；（2）农业机械总动力、有效灌溉面积和粮食作物面积对粮食产量的影响均呈现显著的 空间非平稳性，表现为同一要素在不同县域对粮食产量的影响有明显差异；（3）GWR 模型能有效地消除 OLS 模型中残差的空间自相关，其各项评价指标均优于 OLS 模型。 |
| 英文摘要: |
| Based on the grain yield and the factors of production of counties in Anhui province in 2017，the spatial distribution characteristics of grain yield and its influencing factors are studied with OLS analysis，the spatial auto-correlation and GWR model. The results show that：(i) there is a positive spatial autocorrelation in the grain yield；(ii) the effects of agricultural machinery power，the effective irrigation area and the grain planting area on the grain yield is significant spatially non-stationary，and the effect of the same factor on grain yield varied significantly across counties；(iii) the GWR model can effectively eliminate the spatial autocorrelation of the residual errors in the OLS model，and its evaluation indexes are better than those of the OLS model. |
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