Journal of Geographical Sciences ›› 2015, Vol. 25 ›› Issue (1): 45-57.doi: 10.1007/s11442-015-1152-4
• Orginal Article • Previous Articles Next Articles
Guogang WANG1,2(), Yansui LIU2, Yurui LI2,*(
), Yangfen CHEN1
Received:
2014-06-23
Accepted:
2014-08-20
Online:
2015-01-15
Published:
2015-01-15
Contact:
Yurui LI
E-mail:caswang@126.com;liyr@igsnrr.ac.cn
About author:
Author: Wang Guogang (1984-), PhD, specialized in land sciences, agricultural economics and rural development. E-mail:
Supported by:
Guogang WANG, Yansui LIU, Yurui LI, Yangfen CHEN. Dynamic trends and driving forces of land use intensification of cultivated land in China[J].Journal of Geographical Sciences, 2015, 25(1): 45-57.
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Table 1
Cropland intensive utilization evaluation indices and their meanings"
Evaluation index | Metering method | Index description | Effect |
---|---|---|---|
Labor input (V1) | Labor / Cropland area | Labor input level | + |
Fertilizer input (V2) | Fertilizer pure quantity / Cropland area | Fertilizer input intensity | + |
Pesticide input (V3) | Pesticide usage / Cropland area | Pesticide input intensity | + |
Mechanical input (V4) | Mechanical power / Cropland area | Mechanical use level | + |
Agricultural expenditure per unit area of cropland (V5) | Agricultural expenditure / Cropland area | Capital input level | + |
Multiple crop index (V6) | Total cropping area / Cropland area | Cropland use intensity | + |
Relative abandoning index % (V7) | Note①(①Calculation method of cropland abandoning index: ![]() | Cropland intensive utilization degree | - |
Cropland change rate (V8) | (Cropland end area - base area) / Cropland end area | Cropland transition degree | - |
Effective irrigated area proportion (V9) | Effective irrigated area / Cropland area | Irrigation fundamental infrastructure status | + |
Table 2
Total variance and rotated component matrix"
Factors | Rotated value | Variables | ||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
λ | Cumulative variance (%) | V1 | V2 | V3 | V4 | V5 | V6 | V7 | V8 | V9 | ||||||||||||||||
1 | 2.24 | 24.85 | 0.57 | 0.87 | 0.79 | -0.08 | 0.04 | 0.64 | -0.05 | -0.03 | 0.3 | |||||||||||||||
2 | 1.94 | 46.41 | 0.18 | -0.07 | 0.4 | 0.89 | 0.04 | 0.47 | 0.01 | -0.04 | 0.86 | |||||||||||||||
3 | 1.52 | 63.32 | 0.68 | 0.03 | 0.25 | 0.12 | -0.92 | 0.35 | 0.03 | -0.09 | -0.06 | |||||||||||||||
4 | 1.08 | 75.33 | -0.12 | -0.12 | 0.04 | -0.1 | -0.07 | -0.21 | 0.99 | -0.05 | 0.11 | |||||||||||||||
5 | 1.05 | 87.00 | 0.17 | -0.07 | 0.03 | -0.02 | 0.2 | 0.13 | -0.05 | 0.98 | -0.02 |
Table 3
The results of correlation analysis"
Variables | Y | X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 | X9 |
---|---|---|---|---|---|---|---|---|---|---|
Y | 1 | |||||||||
X1 | 0.605** | 1 | ||||||||
X2 | 0.147* | 0.317** | 1 | |||||||
X3 | -0.125* | -0.477** | -0.178** | 1 | ||||||
X4 | 0.408** | -0.017 | 0.148** | 0.545** | 1 | |||||
X5 | 0.529** | -0.276** | -0.1 | 0.689** | 0.625** | 1 | ||||
X6 | 0.643** | 0.160** | 0.049 | 0.275** | 0.563** | 0.038 | 1 | |||
X7 | -0.469** | -0.358** | -0.323** | 0.347** | -0.058 | 0.107 | -0.052 | 1 | ||
X8 | 0.01 | -0.403** | -0.367** | 0.516** | 0.390** | 0.343** | 0.233** | 0.454** | 1 | |
X9 | 0.580** | 0.764** | 0.262** | -0.182** | 0.210** | -0.106 | 0.458** | -0.151** | 0.046 | 1 |
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