Journal of Geographical Sciences ›› 2021, Vol. 31 ›› Issue (9): 1365-1380.doi: 10.1007/s11442-021-1901-5
• Research Articles • Previous Articles Next Articles
ZHANG Mingyu1(), CHEN Qiuxiao2,1,*(
), ZHANG Kewei1
Received:
2020-07-28
Accepted:
2021-03-04
Online:
2021-09-25
Published:
2021-09-16
Contact:
CHEN Qiuxiao
E-mail:zhangmy18@zju.edu.cn;chenqx@zucc.edu.cn
About author:
Zhang Mingyu (1990-), PhD and Associate Research Professor, specialized in rural development and urbanization. E-mail: zhangmy18@zju.edu.cn
Supported by:
ZHANG Mingyu, CHEN Qiuxiao, ZHANG Kewei. Influence of the variation in rural population on farmland preservation in the rapid urbanization area of China[J].Journal of Geographical Sciences, 2021, 31(9): 1365-1380.
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Table 2
Descriptive statistics of the control variables
Control variables | Year | Min. | Max. | Mean | Standard deviation |
---|---|---|---|---|---|
Average slope (°) | 2005, 2010, 2015 | 2.10 | 25.53 | 15.69 | 6.33 |
Average elevation (m) | 2005, 2010, 2015 | 7.58 | 875.69 | 293.26 | 214.38 |
Primary industry proportion (%) | 2015 | 0.02 | 0.15 | 0.08 | 0.04 |
2010 | 0.02 | 0.20 | 0.09 | 0.04 | |
2005 | 0.03 | 0.29 | 0.12 | 0.06 | |
Road density (km/km2) | 2015 | 0.46 | 2.78 | 1.13 | 0.47 |
2010 | 0.43 | 2.67 | 1.02 | 0.42 | |
2005 | 0.22 | 0.99 | 0.51 | 0.20 | |
Per capita rural residential disposable income (RMB yuan) | 2015 | 12973.00 | 29177.00 | 20483.08 | 5508.01 |
2010 | 6010.00 | 15513.00 | 10273.64 | 3118.16 | |
2005 | 2966.00 | 8542.00 | 5758.98 | 1788.75 |
Table 3
Descriptive statistics of cultivated land landscape index and rural population spatial variation
Indicator | Amount | Min. | Max. | Mean | Standard deviation |
---|---|---|---|---|---|
RPSV in stage 1 | 50 | -0.804 | 0.246 | -0.468 | 0.271 |
RPSV in stage 2 | 50 | -0.918 | -0.293 | -0.673 | 0.138 |
RPSV in stage 3 | 50 | -0.854 | 0.986 | 0.185 | 0.596 |
CLI in stage 1 | 50 | 0.057 | 0.743 | 0.483 | 0.164 |
CLI in stage 2 | 50 | 0.099 | 0.781 | 0.503 | 0.173 |
CLI in stage 3 | 49 | 0.000 | 0.759 | 0.461 | 0.185 |
Table 5
Results of the regression models
Variables | POOL model | FE model | RE model |
---|---|---|---|
Intercept | 0.117 (1.952*) | 0.341 (3.600***) | 0.109 (1.775*) |
RPSV | -0.075 (-2.687***) | -0.061 (-1.882*) | -0.073 (-2.655***) |
RDI | 0.000 (1.873*) | 0.000 (0.508) | 0.000 (1.699*) |
AS | 0.016 (4.216***) | 0.050 (1.043) | 0.016 (4.065***) |
AE | 0.000 (0.544) | 0.583 (0.957) | 0.000 (0.428) |
RD | -0.022 (-0.625) | 0.000 (0.000***) | -0.012 (-0.354) |
PIP | 0.420 (1.851*) | 0.000 (0.000***) | 0.421 (1.738*) |
R² | 0.544 | 0.069 | 0.503 |
Adjust R² | 0.525 | -0.446 | 0.482 |
Test | F (6140)=27.842, P=0.000 | F (4,94)=1.750, P=0.145 | χ²(6)=141.826, P=0.000 |
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