Table 2. Farmers’ household profiles and coding used in logistic regression
| |
| |
|
Variables |
Farmers with land (%) |
Farmers without land (%) |
| |
|
Household cropland |
|
<2/3 ha (0) >2/3 ha (1) |
72.0 (210) 28.0 (89) |
|
|
Length of residencys |
|
<10 years (1) 10–20 years(2) >20 years(3) |
8.0 (23) 42.7 (124) 49.3 (144) |
38.8 (106) 37.6 (103) 23.6 (64) |
|
Distance to the reserves |
|
< 4 km(1) 4–8 km (2) >8 km (3) |
44.0 (128) 20.0 (58) 36.0 (105) |
40.0 (109) 60.0 (164) 0.0 (0) |
Migrant labors No (0) Yes (1) |
54.6 (159) 45.4 (132) |
25.9 (71) 74.1 (202) |
Awareness of laws ns No (0) Yes (1) |
12.0 (35) 88.0 (256) |
11.8 (32) 88.2 (241) |
Income from collections Yes (0) No (1) |
52.0 (151) 48.0 (140) |
75.4 (206) 24.6 (67) |
Household income ns <10000 yuan (1)
10000–20000 yuan (2) >20000 yuan (3) |
65.3 (190) 22.6 (66) 12.1 (35) |
57.6 (157) 34.1 (93) 8.3 (23) |
|
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The sample is composed of 291 farmers with land and 273 farmers without
land. Significance levels for the Chi-square Test of Independence:
ns = nonsignificant, sP < 0.001. Numbers in parentheses refer to
coding used in logistic regression.
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