Journal of Geographical Sciences ›› 2017, Vol. 27 ›› Issue (12): 1481-1498.doi: 10.1007/s11442-017-1448-7
• Research Articles • Previous Articles Next Articles
Xiaoyun LI1,2,3(), Yu YANG1,2,3,*(
), Yi LIU1,2,3,*(
), Hui LIU1,2,3
Received:
2017-02-09
Accepted:
2017-03-07
Online:
2017-12-10
Published:
2018-05-09
Contact:
Yu YANG,Yi LIU
E-mail:lixy.15b@igsnrr.ac.cn;yangyu@igsnrr.ac.cn;liuy@igsnrr.ac.cn
About author:
Author: Li Xiaoyun (1987-), PhD, specialized in man-land relationship and regional development. E-mail:
Supported by:
Xiaoyun LI, Yu YANG, Yi LIU, Hui LIU. Impacts and effects of government regulation on farmers’ responses to drought: A case study of North China Plain[J].Journal of Geographical Sciences, 2017, 27(12): 1481-1498.
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Table 1
Farmer households’ responding measures"
Number of measures taken | Normal years | Disaster years | |||
---|---|---|---|---|---|
Number of farmer households taking measures | Percentage (%) | Number of farmer households taking measures | Percentage (%) | ||
Number of farmer households not taking measures | 133 | 24.63 | 93 | 17.22 | |
Number of farmer households taking measures, among whom: | 407 | 75.37 | 447 | 82.78 | |
1 measure | 263 | 48.70 | 185 | 34.26 | |
2 measures | 112 | 20.74 | 112 | 20.74 | |
3 measures | 29 | 5.37 | 95 | 17.59 | |
4 measures | 3 | 0.56 | 42 | 7.78 | |
5 measures | 0 | 0.00 | 13 | 2.41 | |
Total | 540 | 100.00 | 540 | 100.00 | |
Variance analysis | F value | 9.011 | |||
Sig. | 0.003 |
Table 2
Farmer households’ access to early-warning information"
Got information or not | Pre-disaster | Amid- and post-disaster | |||||||
---|---|---|---|---|---|---|---|---|---|
Normal years | Disaster years | Normal years | Disaster years | ||||||
Number of farmer households | Percentage (%) | Number of farmer households | Percentage (%) | Number of farmer households | Percentage (%) | Number of farmer households | Percentage (%) | ||
No | 292 | 65.32 | 291 | 56.84 | 282 | 63.66 | 286 | 55.75 | |
Yes | 155 | 34.68 | 221 | 43.16 | 161 | 36.34 | 227 | 44.25 | |
Number of channels | 1 | 132 | 29.53 | 185 | 36.13 | 140 | 31.60 | 188 | 36.65 |
2 | 21 | 4.70 | 33 | 6.45 | 19 | 4.29 | 34 | 6.63 | |
3 | 1 | 0.22 | 2 | 0.39 | 1 | 0.23 | 4 | 0.78 | |
4 | 1 | 0.22 | 1 | 0.20 | 1 | 0.23 | 1 | 0.19 | |
Total | 447 | 100 | 512 | 100 | 443 | 100 | 513 | 100 |
Table 3
Supports by different levels of government institutions"
Being supported | Normal years | Disaster years | ||
---|---|---|---|---|
Number of samples | Proportion (%) | Number of samples | Proportion (%) | |
No | 406 | 76 | 403 | 75 |
Yes, by: | 129 | 24 | 131 | 25 |
Village | 32 | 23.40 | 37 | 26.60 |
Town | 39 | 28.50 | 37 | 26.60 |
Upper-level institutions | 63 | 46.00 | 62 | 44.60 |
Others | 3 | 2.20 | 3 | 2.20 |
Total number of supports | 137 | 100 | 139 | 100 |
Total number of samples | 535 | 100 | 534 | 100 |
Table 4
Forms of government supports and corresponding share of farmer households taking actions"
Being supported | Share of farmer households taking actions (%) | |
---|---|---|
Normal years | Disaster years | |
No | 72.17 | 81.39 |
Yes | 85.07 | 86.86 |
Technical guidance | 100.00 | 87.50 |
Financial subsidies | 85.29 | 86.96 |
Material subsidies | 83.02 | 88.00 |
Labor support | 100.00 | 100.00 |
Table 5
The regression models of farmer households’ responses (Dependent variable: taking measures=1, not taking measures=0)"
Independent variables | Model 1 | Model 2 | Model 3 | |||
---|---|---|---|---|---|---|
Coefficients | Exp (B) | Coefficients | Exp (B) | Coefficients | Exp (B) | |
Internal factors | ||||||
Total number of family members | -0.063 | 0.939 | -0.061 | 0.941 | -0.062 | 0.940 |
Age of household head | -0.01 | 0.99 | -0.01 | 0.99 | -0.012 | 0.988 |
Education level of household head | 0.028 | 1.028 | 0.026 | 1.026 | 0.018 | 1.018 |
Farmland area of the household (mu) | -0.051** | 0.951 | -0.049** | 0.953 | -0.040* | 0.961 |
Farmland fragmentation level (mu/piece) | -0.119** | 0.888 | -0.119** | 0.887 | -0.082 | 0.922 |
Total value of house (ten thousand yuan) | 0.004 | 1.004 | 0.004 | 1.004 | 0.006 | 1.006 |
Joined cooperation organization (Yes=1, No=0) | 0.221 | 1.247 | 0.184 | 1.202 | 0.023 | 1.023 |
Family member is/are village cadre/s (Yes=1, No=0) | -0.329* | 0.719 | -0.344* | 0.709 | -0.523** | 0.593 |
External factors | ||||||
Topography (plain=1, others=0) | 19.523 | 3.012 | 19.595 | 3.236 | 19.538 | 3.056 |
Inirrigation area (Yes=1, No=0) | 0.727*** | 2.07 | 0.699*** | 2.012 | 0.809*** | 2.246 |
Average underground water level (m) | 0.001 | 1.001 | 0.002 | 1.002 | 0.003 | 1.003 |
Policy factors | ||||||
Received early-warning information (Yes=1, No=0) | 0.412** | 1.51 | ||||
Only received pre-disaster warning | 0.076 | 1.079 | ||||
Only received post-disaster warning | 0.216 | 1.241 | ||||
Received both pre- and post-warning | 0.615*** | 1.85 | ||||
Only received warning via TV | -0.342 | 0.711 | ||||
Only received warning via one channel apart from TV | 0.499 | 1.646 | ||||
Received warning via two or more channels | 0.491** | 1.633 | ||||
The village organizes disaster prevention activities (Yes=1, No=0) | 0.326* | 1.386 | 0.321* | 1.379 | 0.223 | 1.250 |
Received government supports (Yes=1, No=0) | 0.374* | 1.454 | ||||
Supported by town-level or lower levels of institutions | 0.667** | 1.949 | ||||
Only technical guidance | 0.197 | 1.218 | ||||
Only financial subsidies | 2.057** | 7.821 | ||||
Only material subsidies | 0.019 | 1.019 | ||||
Only labor supports | 0.744 | 2.105 | ||||
Two or more types of supports | 1.100 | 3.003 | ||||
Supported by above-town level institutions | 0.308 | 1.361 | ||||
Disaster years (Yes=1, No=0) | 0.410** | 1.507 | 0.412** | 1.51 | 0.426** | 1.532 |
Constants | 1.025 | 2.786 | 1.043 | 2.838 | 1.400** | 4.057 |
Accuracy of prediction | 79.10% | 79.20% | 78.80% | |||
Degrees of freedom | 15 | 18 | 21 | |||
Number of samples | 1070 | 1070 | 936 |
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