Research Article
Effect of Farmland Transfer on Poverty Reduction under Different Targeted Poverty Alleviation Patterns Based on PSM-DID Model in Karst Area of China
| | Variable | Minimum value | Maximum value | Average value | Standard deviation |
| | Per-capita arable land area (mu) | 0.200 | 4.000 | 1.172 | 0.489 | | Arable land ratio | 0.250 | 0.802 | 0.480 | 0.000 | | Transferred land area (mu) | 0.000 | 80.000 | 4.190 | 5.280 | | Family members in the labor force | 1.000 | 6.000 | 3.250 | 1.370 | | Average labor force age | 1.000 | 4.000 | 2.663 | 0.706 | | Family savings (RMB) | 0.500 | 6.000 | 0.892 | 1.425 | | 2014 per-capita net income (RMB) | 2,300.000 | 8,300.000 | 6,918.053 | 6,994.852 | | 2019 per-capita net income | 4,050.000 | 10,000.000 | 9,122.539 | 7,475.376 | | Agricultural income to total income ratio in 2014 (RMB) | 0.300 | 1.000 | 0.464 | 0.335 | | Agricultural income to total income ratio in 2019 (RMB) | 0.000 | 0.250 | 0.369 | 2.336 | | Frequency of participation in professional cooperatives (times) | 0.000 | 2.000 | 0.148 | 0.403 | | Nonagricultural work time (Hour) | 0.000 | 9.000 | 5.682 | 2.581 |
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