Rural Development Policies and Sustainable Land Use in the ...

ASSET DISTRIBUTION AND LIVELIHOOD STRATEGIES IN THE HILLSIDES OF HONDURAS 49
3 4 5 6 7
Standard Standard Standard Standard Standard
Mean error Mean error Mean error Mean error Mean error
68 85 116 12 8
3.4 0.4 2.7 0.4 15.3 4.0 3.4 0.4 6.3 1.3
1.2 0.6 0.55 0.3 9.3 3.4
18.5 7.9 14.8 9.2 34.6 8.5 58.4 15.8 6.7 2.5
976 41 1,058 45 1,008 25 1,576 74 1,060 53
2,009 265 2,412 232 2,569 240 1,661 182 734 111
33 11 11 4 6 2 9 4 9 10
2,806 166 2,939 94 2,835 140 2,935 183 3,315 263
2,884 947 422 159 4,757 1,527 1,726 930 671 144
4,105 1,148 1,994 660 10,394 3,097 892 371 5,547 1,076
5.7 0.4 5.9 0.4 6.4 0.3 4.6 0.5 7.1 0.9
1.1 0.2 1.2 0.2 0.9 0.1 0.9 0.2 0.5 0.2
17.7 9.4 12.9 9.7 2.2 1.3 0.0 0.0 3.2 4.1
50.4 3.2 46.2 1.9 52.4 2.4 60.7 3.3 56.3 3.0
43.9 3.6 45.3 3.5 52.3 2.5 49.9 6.7 47.9 1.5
2.9 0.5 2.3 0.3 3.0 0.2 2.5 0.8 2.5 0.4
0.02 0.01 0.03 0.02 0.05 0.01 0.003 0.003 0.0008 0.001
1.8 1.0 16.1 8.7 32.5 10.7 23.5 15.2 0.0 0.0
4.1 1.7 4.5 2.5 10.5 4.3 38.7 21.1 12.8 12.5
12.5 7.5 5.2 3.0 7.2 3.9 18.2 16.6 0.0 0.0
1.8 1.2 4.6 2.7 8.3 4.0 37.4 21.2 0.5 0.6
0.3 0.3 1.3 0.9 14.4 10.5 0.6 0.7 0.0 0.0
13.9 5.6 5.7 3.1 7.8 2.9 0.0 0.0 10.8 12.0
2.4 1.4 14.9 8.2 12.7 6.4 18.2 16.6 0.0 0.0
132 28 125 33 99 23 263 103 52 9
4.0 0.4 4.8 0.6 4.3 0.5 3.3 0.2 2.0 0.2
60 13 62 18 74 8 88 60 24 18
l
Dummy variable (= 1 if household has received conservation training, 0 if not).
m
Dummy variable (= 1 if household has received crop technology training, 0 if not).
n
Dummy variable (= 1 if household has received conservation extension visits, 0 if not).
o
Dummy variable (= 1 if household has received crop technology extension visits, 0 if not).
p
Dummy variable (1 = household participates, 0 otherwise).
q
Number of persons per km 2 in the community based on the 2001 population census (INE 2002).
r
Kilometers of roads/km 2 in the community (data obtained from CIAT 2001).
s
Data obtained from CIAT. They reflect travel time from the center of the community to the nearest market outlet, using the most common form
of transportation. The variable’s values are based on geographical distance, road quality, slope, and natural barriers. The higher the value of the
variable, the worse is market access.