systems research - the IDRC Digital Library - International ...
systems research - the IDRC Digital Library - International ... systems research - the IDRC Digital Library - International ...
dry fish and vegetables, respectively. The consumption of meat was relatively low in all three farming groups. With regard to the direct impact of the rice-fish farming systems on consumption of fresh fish, farmers in FS I consumed more fish (7%) than farmers in FS I1 (6%) and FS I11 (4%). Other food items showed varied budget shares among the three farming system groups. Nonfood expenditures A summary of the nonfood expenditures and the budget share of each nonfood item are presented in Table 15. Within the nonfood category, the highest amount was spent on education. The impact of fish culture on quality of life was that farmers spent more on education. For example, farmers in FS I and FS I1 spent about 26% and 39% of their total nonfood expenditures on education compared with FS 111 farmers who spent 1270. However, FS 111 farmers spent more on taxes and assets than farmers in FS I and FS 11. In relation to expenditures on social activities (e.g., cultural ceremony, recreation, and donations), there is a remarkable difference between farmers in FS I and FS I1 although they have the same social status. With the increased income from fish, FS I (fish cultivated three times a year), farmers spent more on social activities than FS I1 farmers. However, FS 111 farmers spent the highest budget share on social activities. Significant differences were also observed in expenditures on health services (e.g., visiting rural heklth services and family planning) between farmers in FS I and FS 11. Farmers in FS 111 spent the highest budget share on health services. Demand elasticities A summary of price and income elasticities for all budget categories is given in Tables 16, 17, and 18. These figures were compared using the estimated parameters of the LA/AIDS model. There was variability in the elasticities in all groups of consumers. The demand for food and nonfood groups appears to be unit price inelastic in all farming groups (Table 16). However, farmers in FS I11 are relatively more responsive (i.e., a coefficierlt of -0.664 for food and -0.748 for nonfood). Meanwhile, the demand for food and nonfood groups appears to be income elastic in all farming groups except for food in FS I (0.999 and 1.001).
Price elasticity. The demand for all food items appears to be price inelastic in all farming groups. The demand for rice is the most important in terms of food policy in the study area. Among all food items, the demand for rice is relatively more responsive to price variability in all farming groups (-0.390 in FS I, -0.403 in FS 11, and -0.306 in FS 111). Furthermore, the demand for fresh fish in FS I is the most price inelastic among the three farming groups (-0.059 compared with -0.87 for FS I1 and -0.89 for FS 111). This may be due to the high degree of subsistence on their own production of fresh fish. Incot~ze elasticities. The demand for food items among all farming groups is mostly income elastic (coefficients of elasticities almost 1.0 except for some food items for which elasticity is oreater than 1.0). For example, the demand for meat in FS I is income elastic (1.8267. The demand for food commodity bundles (e.g., eggs and sugar, tea, and coffee in FS 111 and sugar, tea, and coffee in FS 11) are income elastic. In other words, the demand for those food iterns is likely to be determined by the farmers' income. Nonfood sector There is significant variability in the elasticities among nonfood items. Price elusticity. Demand in the nonfood sector is mostly price inelastic in all farming groups for health services. The demand for health services in FS I1 and FS 111 is price elastic (coefficients of -1.324 and -1.025, respectively). The demand for assets is the most price elastic in all farming groups (coefficients of -1.377 in FS I, - 1.751 in FS 11, and -1.751 in FS 111). This indicates that farmers would lessen their demand for assets (agricultural assets and savings) if their price increases. These assets include nonproductive assets such as radios and televisions. I~zcottze elusticity. The denland for firewood and kerosene, education, social activities and donations, and assets is income elastic in all farming groups. The demand for assets is highly income elastic (coefficients of 3.253- in FS 1. 4.533 in FS 11, and 2.533 in FS 111). Social activities and donations showed a similar pattern. Role of extension, farmer participation, and ~~olicy Researchers and extension specialists can play a inajor role in improving the conditions of small-scale farmers and encouraging policy. The technology developed by these research projects have been transferred through multilocation testing; field days attended by extension specialists, researchers, pol~cymakers, and farmer groups; seminars and workshops; publications; and other media (radio and television).
- Page 35 and 36: - Table 6. Socioeconomic characteri
- Page 37 and 38: Table 8. Extent of adoption and ave
- Page 39 and 40: Table 10. Resource use and producti
- Page 41 and 42: Table 12. Extent of adoption and di
- Page 43 and 44: Table 14. Summary of per hectare ca
- Page 45 and 46: IRlPACT OF FARMING SYSTEMS RESEARCH
- Page 47 and 48: new information collected during FS
- Page 49 and 50: average family owns seven heads of
- Page 51 and 52: H Horticulture. To have a more regu
- Page 53 and 54: improved varieties require higher l
- Page 55 and 56: The types of the training provided
- Page 57 and 58: extension agency in the district, t
- Page 59 and 60: m Extension and other production-su
- Page 61 and 62: Table 3. Farm characteristics of th
- Page 63 and 64: Table 6. Farm practices and product
- Page 65 and 66: Table 8. Major crops, crop varietie
- Page 67 and 68: Table 10. Production and use of mil
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- Page 71 and 72: Table 15. Training undergone by the
- Page 73 and 74: Table 17. Links between farmers and
- Page 75 and 76: ----l CROP SUBSYSlLM rnurt L OTT tb
- Page 77 and 78: West Java provincial le~el BACKGROU
- Page 79 and 80: OBJECTIVES The specific objectives
- Page 81 and 82: Labor requirement Labor requirement
- Page 83 and 84: system models. This indicated that
- Page 85: Unit prices for all items were obta
- Page 89 and 90: district fishery extension services
- Page 91 and 92: Table 2. Production of freshwater f
- Page 93 and 94: Table 4. Level of inputs used in ea
- Page 95 and 96: Table 6. Labor requirement for each
- Page 97 and 98: able 8. Income analysis of each FS
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- Page 101 and 102: Table 12. The value of assets (IRP
- Page 103 and 104: Table 15. Nonfood expenditure patte
- Page 105 and 106: Table 17. Elasticities of food comm
- Page 107 and 108: l Oct k Jan Feb Mar Apr May Jun Jul
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- Page 113 and 114: Conceptual framework STUDY METHODS
- Page 115 and 116: Tai. Mungbean was introduced in Dok
- Page 117 and 118: Land preparation for rice. The reac
- Page 119 and 120: price of mungbean was high, some fa
- Page 121 and 122: manufacturers. The earlier models (
- Page 123 and 124: Net farm income per household The a
- Page 125 and 126: that although adopters were better
- Page 127 and 128: W It produced a good stand of rice
- Page 129 and 130: Table l. The promising technologies
- Page 131 and 132: Table 3. Mungbean before rice areas
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Price elasticity. The demand for all food items appears to be price inelastic in<br />
all farming groups. The demand for rice is <strong>the</strong> most important in terms of food<br />
policy in <strong>the</strong> study area. Among all food items, <strong>the</strong> demand for rice is relatively<br />
more responsive to price variability in all farming groups (-0.390 in FS I, -0.403 in<br />
FS 11, and -0.306 in FS 111). Fur<strong>the</strong>rmore, <strong>the</strong> demand for fresh fish in FS I is <strong>the</strong><br />
most price inelastic among <strong>the</strong> three farming groups (-0.059 compared with -0.87 for<br />
FS I1 and -0.89 for FS 111). This may be due to <strong>the</strong> high degree of subsistence on<br />
<strong>the</strong>ir own production of fresh fish.<br />
Incot~ze elasticities. The demand for food items among all farming groups is<br />
mostly income elastic (coefficients of elasticities almost 1.0 except for some food<br />
items for which elasticity is oreater than 1.0). For example, <strong>the</strong> demand for meat in<br />
FS I is income elastic (1.8267. The demand for food commodity bundles (e.g., eggs<br />
and sugar, tea, and coffee in FS 111 and sugar, tea, and coffee in FS 11) are income<br />
elastic. In o<strong>the</strong>r words, <strong>the</strong> demand for those food iterns is likely to be determined<br />
by <strong>the</strong> farmers' income.<br />
Nonfood sector<br />
There is significant variability in <strong>the</strong> elasticities among nonfood items.<br />
Price elusticity. Demand in <strong>the</strong> nonfood sector is mostly price inelastic in all<br />
farming groups for health services. The demand for health services in FS I1 and FS<br />
111 is price elastic (coefficients of -1.324 and -1.025, respectively). The demand for<br />
assets is <strong>the</strong> most price elastic in all farming groups (coefficients of -1.377 in FS I, -<br />
1.751 in FS 11, and -1.751 in FS 111). This indicates that farmers would lessen <strong>the</strong>ir<br />
demand for assets (agricultural assets and savings) if <strong>the</strong>ir price increases. These<br />
assets include nonproductive assets such as radios and televisions.<br />
I~zcottze elusticity. The denland for firewood and kerosene, education, social<br />
activities and donations, and assets is income elastic in all farming groups. The<br />
demand for assets is highly income elastic (coefficients of 3.253- in FS 1. 4.533 in FS<br />
11, and 2.533 in FS 111). Social activities and donations showed a similar pattern.<br />
Role of extension, farmer participation, and ~~olicy<br />
Researchers and extension specialists can play a inajor role in improving <strong>the</strong><br />
conditions of small-scale farmers and encouraging policy. The technology developed<br />
by <strong>the</strong>se <strong>research</strong> projects have been transferred through multilocation testing; field<br />
days attended by extension specialists, <strong>research</strong>ers, pol~cymakers, and farmer<br />
groups; seminars and workshops; publications; and o<strong>the</strong>r media (radio and<br />
television).