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Agricultural Knowledge, Science and Technology: Investment and Economic Returns | 511
Table 8-7. Comparison of Rate of Return (ROR) for national agricultural R&D expenditureacross sub-regions.
Sub-regions |
Countries |
Mean ROR |
Weighted mean ROR (%) |
Countries with negative ROR |
Africa |
Algeria, Botswana, Ethiopia, Cote d'Ivoire, Ghana, Guinea-Bissau, Kenya, Lesotho, Mauritania, Morocco, Rwanda, Senegal, Tanzania, Tunisia, Uganda, Zambia, Zimbabwe |
18 |
22 |
Lesotho, Senegal, Tanzania |
Asia |
Bangladesh, China, India, Indonesia, Jordan, Malaysia, Nepal, Pakistan, Philippines, Sri-Lanka, Thailand |
23 |
26 |
Sri-Lanka |
Latin America |
Bolivia, Brazil, Chile, Colombia, Costa-Rica, Dominican Republic, Guatemala, Honduras, Jamaica, Mexico, Panama, Peru, Venezuela |
10 |
-6 |
Brazil, Dominican Republic, Jamaica, Mexico, Panama, Peru, Venezuela |
2001) (Table 8-9). The benefit exceeded cost in SSA almost 15 years later than was the case for Latin America and Asia, causing the low IRR. The available evidence suggests that the economic RORs to agricultural R&D are high (Even-son, 2001). The broad scope of the evidence for high returns suggests considerable international spillovers. Economic RORs to agricultural research are likely to be above most public and private rates (Fuglie et al., 1996; Alston et al., 2000a; Evenson, 2001). Recently studies have been carried out on the impact of natural resource management research. In most cases however these were satisfactory but lower than in germplasm improvement research (Waibel and Zilberman, 2007). |
|
cost of R&D in agriculture is the potential for resale of seeds (Kremer and Zwane, 2005). The gap between social and private returns may be more acute in tropical agriculture, where market failures are particularly severe and the intellectual property rights (IPR) environment is weaker (Pray and Umali-Deininger 1998; Kremer and Zwane, 2005). |
Table 8-8. Costs-benefits and internal rate of return for NARS and IARC crop genetic improvement programs by region.
|
NARSs |
IARCs |
|
|
|
Estimated benefits |
Estimated |
Lower range |
|
|
IRR |
B/C |
IRR |
B/C |
Latin America |
31 |
56 |
39 |
34 |
Asia |
33 |
115 |
115 |
104 |
West Asia-North Africa |
22 |
54 |
165 |
147 |
sub-Saharan Africa |
9 |
4 |
68 |
57 |
Note: The International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) model developed by IFPRI is a partial equilibrium model covering 17 commodities and 35 country/regions.
Source: Evenson and Rosegrant, 2003.
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