World Regional Studies ›› 2020, Vol. 29 ›› Issue (3): 650-658.DOI: 10.3969/j.issn.1004-9479.2020.03.2018504
Received:
2018-11-14
Revised:
2019-02-18
Online:
2020-05-30
Published:
2020-06-12
Contact:
Yue‘e CAO
通讯作者:
曹月娥
作者简介:
孟颖(1993-),女,硕士研究生,主要从事土地利用研究,E-mail:mengying0925@163.com。
Ying MENG, Yue‘e CAO. Study on the spatial distribution and influential factors of rural poverty in Xinjiang[J]. World Regional Studies, 2020, 29(3): 650-658.
孟颖, 曹月娥. 新疆农村贫困化空间分布及影响因素探究[J]. 世界地理研究, 2020, 29(3): 650-658.
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URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2020.03.2018504
因素 | x1 | x2 | x3 | x4 | x5 |
---|---|---|---|---|---|
-4 | 0.253484 | 0.122671 | 0.495225 | 0.286604 | 0.394040 |
-3 | 0.325976 | 0.596389 | 0.806350 | 0.313992 | 0.316287 |
-2 | 0.516576 | 0.544444 | 0.869652 | 0.479241 | 0.431571 |
-1 | 0.176480 | 0.540275 | 0.422565 | 0.381928 | 0.556950 |
0 | 0.376502 | 0.373952 | 0.201208 | 0.416112 | 0.447511 |
1 | 0.306535 | 0.592762 | 0.269150 | 0.715305 | 0.474602 |
2 | 0.315589 | 0.326469 | 0.294282 | 0.423757 | 0.836066 |
3 | 0.815412 | 0.457110 | 0.448672 | 0.499221 | 0.043750 |
4 | 0.919845 | 0.079031 | 0.068280 | 0.487234 | 0.122671 |
Tab.1 Coupling Matching Analysis of Various Factors and Poverty Rate
因素 | x1 | x2 | x3 | x4 | x5 |
---|---|---|---|---|---|
-4 | 0.253484 | 0.122671 | 0.495225 | 0.286604 | 0.394040 |
-3 | 0.325976 | 0.596389 | 0.806350 | 0.313992 | 0.316287 |
-2 | 0.516576 | 0.544444 | 0.869652 | 0.479241 | 0.431571 |
-1 | 0.176480 | 0.540275 | 0.422565 | 0.381928 | 0.556950 |
0 | 0.376502 | 0.373952 | 0.201208 | 0.416112 | 0.447511 |
1 | 0.306535 | 0.592762 | 0.269150 | 0.715305 | 0.474602 |
2 | 0.315589 | 0.326469 | 0.294282 | 0.423757 | 0.836066 |
3 | 0.815412 | 0.457110 | 0.448672 | 0.499221 | 0.043750 |
4 | 0.919845 | 0.079031 | 0.068280 | 0.487234 | 0.122671 |
参数 | x1 | x2 | x3 | x4 | x5 |
---|---|---|---|---|---|
q | 0.646252 | 0.316319 | 0.632475 | 0.151967 | 0.216874 |
Tab.2 The result of factor detection
参数 | x1 | x2 | x3 | x4 | x5 |
---|---|---|---|---|---|
q | 0.646252 | 0.316319 | 0.632475 | 0.151967 | 0.216874 |
交互探测因素 | 交互探测值 | 交互探测类型 |
---|---|---|
x1 ∩ x2 | 0.918134546 | 非线性增强 |
x1 ∩ x3 | 0.89230337 | 非线性增强 |
x1 ∩ x4 | 0.897833907 | 非线性增强 |
x1 ∩ x5 | 0.991081105 | 非线性增强 |
x2 ∩ x3 | 0.981178821 | 非线性增强 |
x2 ∩ x4 | 0.641942575 | 非线性增强 |
x2 ∩ x5 | 0.800203464 | 非线性增强 |
x3 ∩ x= | 0.87039336 | 非线性增强 |
x3 ∩ x5 | 0.945411295 | 非线性增强 |
x4 ∩ x5 | 0.94516175 | 非线性增强 |
Tab.3 The result of interaction detection
交互探测因素 | 交互探测值 | 交互探测类型 |
---|---|---|
x1 ∩ x2 | 0.918134546 | 非线性增强 |
x1 ∩ x3 | 0.89230337 | 非线性增强 |
x1 ∩ x4 | 0.897833907 | 非线性增强 |
x1 ∩ x5 | 0.991081105 | 非线性增强 |
x2 ∩ x3 | 0.981178821 | 非线性增强 |
x2 ∩ x4 | 0.641942575 | 非线性增强 |
x2 ∩ x5 | 0.800203464 | 非线性增强 |
x3 ∩ x= | 0.87039336 | 非线性增强 |
x3 ∩ x5 | 0.945411295 | 非线性增强 |
x4 ∩ x5 | 0.94516175 | 非线性增强 |
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