Impact Of Agricultural Market Reforms On Smallholder Farmers In ...
Impact Of Agricultural Market Reforms On Smallholder Farmers In ... Impact Of Agricultural Market Reforms On Smallholder Farmers In ...
Table 4.1.181-Regression for perceived change in well-being change Coef. Std. Err. z P>|z| 95% Conf. Interval lnexppc -.2054401 .0985885 -2.08 0.037 -.3986701 -.0122102 mktsurp .0035438 .0020357 1.74 0.082 -.000446 .0075337 hhsize -.0207655 .0124848 -1.66 0.096 -.0452351 .0037042 under15p .2679314 .2498048 1.07 0.283 -.2216771 .7575399 over65p .1332301 .4562656 0.29 0.770 -.761034 1.027494 femhead -.231811 .2441472 -0.95 0.342 -.7103307 .2467088 agehead -.0006692 .0176371 -0.04 0.970 -.0352373 .0338989 age2 -.0000754 .0001789 -0.42 0.673 -.000426 .0002752 edhead .0294055 .0267765 1.10 0.272 -.0230755 .0818864 lithead -.3547115 .1864592 -1.90 0.057 -.7201649 .0107418 spouse .0922859 .2246507 0.41 0.681 -.3480214 .5325932 edsps -.0363134 .0320437 -1.13 0.257 -.099118 .0264911 litsps -.0920824 .1654687 -0.56 0.578 -.4163951 .2322302 cotton .2613276 .1452739 1.80 0.072 -.0234041 .5460592 fsize1 .0112825 .0141542 0.80 0.425 -.0164592 .0390243 fsize2 .0517047 .0333987 1.55 0.122 -.0137557 .117165 irrig .4557959 .3337666 1.37 0.172 -.1983745 1.109966 basfond -.1837732 .1342883 -1.37 0.171 -.4469734 .079427 connect .0639005 .0943407 0.68 0.498 -.1210039 .2488049 fon -.1974852 .1333296 -1.48 0.139 -.4588064 .0638361 gv -.0965004 .1296053 -0.74 0.457 -.3505222 .1575214 tontine .0760265 .0988257 0.77 0.442 -.1176683 .2697213 extcont .4640769 .1179854 3.93 0.000 .2328298 .695324 distsp -.0052027 .0024944 -2.09 0.037 -.0100916 -.0003138 radio .0477592 .0968805 0.49 0.622 -.1421231 .2376416 tv .65714 .2322529 2.83 0.005 .2019326 1.112347 bike .0601497 .1008815 0.60 0.551 -.1375745 .2578739 mbike .1780742 .1124442 1.58 0.113 -.0423125 .3984608 dpt1 1.261566 .2358351 5.35 0.000 .7993374 1.723794 dpt3 .7922735 .22932 3.45 0.001 .3428146 1.241732 dpt4 .1048854 .2085674 0.50 0.615 -.3038991 .51367 dpt5 2859493 .1818112 1.57 0.116 -.070394 .6422927 dpt6 .21851 .1965316 1.11 0.266 -.1666847 .6037048 Ordered probit estimates Number of obs = 898 LR chi2(33) = 167.37 Prob > chi2 = 0.0000 Log likelihood = -805.19386 Pseudo R2 = 0.0941 205
Table 4.2.1-Road infrastructure Region North Center South Total Length of road in village (km) . . . . Paved road 1 0 1 1 All-season road 11 3 5 6 Dry-season road 10 8 4 6 Pistes 28 15 7 16 Period when not usable (months) . . . . Paved road 0 0 0 0 All-season road 1 0 0 0 Dry-season road 3 5 2 3 Pistes 3 6 2 3 Source: IFPRI-LARES Community Survey Table 4.2.2-Change in road length Region North Center South Total Increase 24% 10% 12% No change 69% 100% 90% 85% Decrease 7% 2% Total 100% 100% 100% 100% Source: IFPRI-LARES Community Survey Table 4.2.3-Change in road quality Region North Center South Total Improved 32% 16% 28% 27% No change 7% 68% 26% 29% Deteriorated 61% 16% 46% 45% Total 100% 100% 100% 100% Source: IFPRI-LARES Community Survey Table 4.2.4-Number of vehicles used for agricultural transport Region North Center South Total Bicycles 130 44 115 102 Push-carts 1 7 4 4 Carts 8 4 1 4 Motorbikes 26 13 26 23 Cars 1 2 1 1 Pick-up trucks 1 1 1 1 Truck 0 1 0 0 Trailer trucks 0 0 0 0 Source: IFPRI-LARES Community Survey 206
- Page 162 and 163: Table 4.1.69-Change in fertilizer a
- Page 164 and 165: Table 4.1.75-Allocation of labor by
- Page 166 and 167: Table 4.1.82-Allocation of labor by
- Page 168 and 169: Table 4.1.89-Change in credit avail
- Page 170 and 171: Table 4.1.94-Percent of households
- Page 172 and 173: Table 4.1.98-Percent of households
- Page 174 and 175: Table 4.1.102-Area allocation by cr
- Page 176 and 177: Table 4.1.106-Area allocation by cr
- Page 178 and 179: Table 4.1.110-Marketed share of out
- Page 180 and 181: Table 4.1.114-Marketed share of out
- Page 182 and 183: Table 4.1.117-Regression for market
- Page 184 and 185: Table 4.1.120-Change in the type of
- Page 186 and 187: Table 4.1.128-Perceived change in r
- Page 188 and 189: Table 4.1.135-Main reason for stori
- Page 190 and 191: Table 4.1.140-Summary of food expen
- Page 192 and 193: Table 4.1.142-Percent of households
- Page 194 and 195: Table 4.1.144-Food consumption by e
- Page 196 and 197: Table 4.1.149-Results of regression
- Page 198 and 199: Table 4.1.152-Value of household as
- Page 200 and 201: Table 4.1.156-Value of household as
- Page 202 and 203: Table 4.1.160-Housing characteristi
- Page 204 and 205: Table 4.1.162-Housing characteristi
- Page 206 and 207: Table 4.1.165-Main source of water
- Page 208 and 209: Table 4.1.170-Source of information
- Page 210 and 211: Table 4.1.176-Source of information
- Page 214 and 215: Table 4.2.5-Change in number of veh
- Page 216 and 217: Table 4.2.12-Availability and sourc
- Page 218 and 219: Table 4.2.21-Number of GFs per vill
- Page 220 and 221: Table 4.2.30-Percentage of villages
- Page 222 and 223: Table 4.2.34-Distribution of villag
- Page 224 and 225: Table 4.3.1-Distribution of GVs by
- Page 226 and 227: Table 4.3.9-Number of each type of
- Page 228 and 229: Table 4.3.12-Percentage of secretar
- Page 230 and 231: Table 4.3.19-Distribution of GVs by
- Page 232 and 233: Table 4.3.24-Percentage of inputs s
- Page 234 and 235: Table 4.3.32-Average value of curre
- Page 236 and 237: Table 4.3.40-Percentage of GVs in w
- Page 238 and 239: CHAPTER 5 - RESULTS FROM THE MALAWI
- Page 240 and 241: The weights are used to calculate a
- Page 242 and 243: On average, around 20 percent of th
- Page 244 and 245: agricultural work. Other less commo
- Page 246 and 247: 5.1.4 Time allocation In Malawi, as
- Page 248 and 249: attributed it to the fact that fert
- Page 250 and 251: insignificant. The coefficient on t
- Page 252 and 253: As in the results from the previous
- Page 254 and 255: most important sources of input on
- Page 256 and 257: applied for credit compared to 20 p
- Page 258 and 259: less than 1 mt per ha which are fai
- Page 260 and 261: 5.1.9 Agricultural marketing Market
Table 4.2.1-Road infrastructure<br />
Region<br />
North Center South Total<br />
Length of road in village (km) . . . .<br />
Paved road 1 0 1 1<br />
All-season road 11 3 5 6<br />
Dry-season road 10 8 4 6<br />
Pistes 28 15 7 16<br />
Period when not usable (months) . . . .<br />
Paved road 0 0 0 0<br />
All-season road 1 0 0 0<br />
Dry-season road 3 5 2 3<br />
Pistes 3 6 2 3<br />
Source: IFPRI-LARES Community Survey<br />
Table 4.2.2-Change in road length<br />
Region<br />
North Center South Total<br />
<strong>In</strong>crease 24% 10% 12%<br />
No change 69% 100% 90% 85%<br />
Decrease 7% 2%<br />
Total 100% 100% 100% 100%<br />
Source: IFPRI-LARES Community Survey<br />
Table 4.2.3-Change in road quality<br />
Region<br />
North Center South Total<br />
Improved 32% 16% 28% 27%<br />
No change 7% 68% 26% 29%<br />
Deteriorated 61% 16% 46% 45%<br />
Total 100% 100% 100% 100%<br />
Source: IFPRI-LARES Community Survey<br />
Table 4.2.4-Number of vehicles used for agricultural transport<br />
Region<br />
North Center South Total<br />
Bicycles 130 44 115 102<br />
Push-carts 1 7 4 4<br />
Carts 8 4 1 4<br />
Motorbikes 26 13 26 23<br />
Cars 1 2 1 1<br />
Pick-up trucks 1 1 1 1<br />
Truck 0 1 0 0<br />
Trailer trucks 0 0 0 0<br />
Source: IFPRI-LARES Community Survey<br />
206
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