Journal of Resources and Ecology ›› 2022, Vol. 13 ›› Issue (3): 407-416.DOI: 10.5814/j.issn.1674-764x.2022.03.006
• Land Use and Sustainable Development • Previous Articles Next Articles
CHEN Shiyin1(), WU Xuebiao1, MA Zhiyu1,2, BIN Jinyou1,2,*(
)
Received:
2020-10-13
Accepted:
2021-10-01
Online:
2022-05-30
Published:
2022-04-18
Contact:
BIN Jinyou
About author:
CHEN Shiyin, E-mail: 13828247596@139.com
Supported by:
CHEN Shiyin, WU Xuebiao, MA Zhiyu, BIN Jinyou. Analysis of the Spatio-temporal Differentiation of Cultivated Land Pressure in the Pearl River-Xijiang Economic Zone and Its Influencing Factors[J]. Journal of Resources and Ecology, 2022, 13(3): 407-416.
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URL: http://www.jorae.cn/EN/10.5814/j.issn.1674-764x.2022.03.006
Fig. 5 Spatial distribution of cold-hot spots of Cultivated Land Pressure Index in counties of the Pearl River-Xijiang Economic Zone in 2008, 2012 and 2017.
Factor | Correlation coefficient | Factor | Correlation coefficient |
---|---|---|---|
GDP (X1) | 0.979 | Multiple-crop index (X5) | 0.896 |
Investment in fixed assets (X2) | 0.987 | Grain yield per unit area (X6) | 0.864 |
Per capita net income of farmers (X3) | 0.973 | Proportion of irrigated area (X7) | -0.412 |
Population (X4) | 0.995 | Per capita cultivated land (X8) | -0.988 |
Table 1 Correlation coefficients of the eight factors and the Cultivated Land Pressure Index
Factor | Correlation coefficient | Factor | Correlation coefficient |
---|---|---|---|
GDP (X1) | 0.979 | Multiple-crop index (X5) | 0.896 |
Investment in fixed assets (X2) | 0.987 | Grain yield per unit area (X6) | 0.864 |
Per capita net income of farmers (X3) | 0.973 | Proportion of irrigated area (X7) | -0.412 |
Population (X4) | 0.995 | Per capita cultivated land (X8) | -0.988 |
Principal component | Characteristic value | Contribution rate (%) | Cumulative contribution rate (%) |
---|---|---|---|
1 | 5.683 | 94.710 | 94.710 |
2 | 0.247 | 4.122 | 98.832 |
3 | 0.057 | 0.950 | 99.782 |
4 | 0.009 | 0.157 | 99.939 |
5 | 0.003 | 0.044 | 99.983 |
6 | 0.001 | 0.017 | 100.000 |
Table 2 Results of Principal Component Analysis
Principal component | Characteristic value | Contribution rate (%) | Cumulative contribution rate (%) |
---|---|---|---|
1 | 5.683 | 94.710 | 94.710 |
2 | 0.247 | 4.122 | 98.832 |
3 | 0.057 | 0.950 | 99.782 |
4 | 0.009 | 0.157 | 99.939 |
5 | 0.003 | 0.044 | 99.983 |
6 | 0.001 | 0.017 | 100.000 |
Factor | First principal component | Second principal component |
---|---|---|
GDP (X1) | 0.832 | 0.551 |
Investment in fixed assets (X2) | 0.839 | 0.543 |
Per capita net income of farmers (X3) | 0.857 | 0.506 |
Population (X4) | 0.829 | 0.540 |
Multiple-crop index (X5) | 0.551 | 0.824 |
Grain yield per unit area (X6) | 0.514 | 0.849 |
Table 3 Factor load matrix after orthogonal rotation
Factor | First principal component | Second principal component |
---|---|---|
GDP (X1) | 0.832 | 0.551 |
Investment in fixed assets (X2) | 0.839 | 0.543 |
Per capita net income of farmers (X3) | 0.857 | 0.506 |
Population (X4) | 0.829 | 0.540 |
Multiple-crop index (X5) | 0.551 | 0.824 |
Grain yield per unit area (X6) | 0.514 | 0.849 |
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