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composition, increases in income can also esacerbate malnutrition. Jodha (1994)<br />

contends that commercialization can adversely influence <strong>the</strong> nutritional position of<br />

<strong>the</strong> farming household if it leads to an overall decline in <strong>the</strong> availability for<br />

consumption of general food commodities or of specific food items with high<br />

nutritive value. Indeed, <strong>the</strong> link between FSR technologies and <strong>the</strong> nutritional<br />

position of <strong>the</strong> household can be directly related to <strong>the</strong> consumption of 0~i.n-farm<br />

produce and indirectly related to <strong>the</strong> income path (Gonzaga et a1 1990).<br />

Although improvement in <strong>the</strong>se welfare vari;ibles is an ideal goal, it cannot<br />

be overemphasized that fulfillment of one Lvelfare indicator may lead to shortfalls in<br />

o<strong>the</strong>rs. The household makes decisions to meet its objectives according to <strong>the</strong> order<br />

of <strong>the</strong>ir priorities. Impact assessment <strong>the</strong>refore should not consider a failure to<br />

improve one or two welfare measures as a fdilure of FSR technologies in general.<br />

Assessment is an integral component of FSR: from <strong>the</strong> diagnostic and design<br />

phase (ex-ante), to <strong>the</strong> testing, preproduction, and production phases (on-going), to<br />

<strong>the</strong> extension and monitoring phase (ex-post). Although <strong>the</strong> parameters used in<br />

impact analysis for each FSR phase differ, each of <strong>the</strong>se ph;lses in\.olves<br />

measurements related to <strong>the</strong> impact of FSR technologies. During <strong>the</strong> ex-ante and<br />

on-going phases of impact assessment, <strong>the</strong> focus of analysis is on biological and<br />

technical feasibility, economic viability, and sociocultural acceptability of <strong>the</strong><br />

technoloby (Zandstra et a1 1981). Es-post assessment, ho\ive\/er,, goes beyond <strong>the</strong>se<br />

parameters and includes o<strong>the</strong>r indirect effects such as changes in real income levels,<br />

asset accumulation, educational and nutritional positions, and health of <strong>the</strong> farming<br />

households (Ranaweera 1985). In this study. impact assessment of indirect effects is<br />

limited to changes in household income and <strong>the</strong> nutritional position of <strong>the</strong><br />

household. In addition, measurable direct effects such as yield le\iels, input use, and<br />

changes in cropping patterns are assessed.<br />

Several approaches can be used to assess <strong>the</strong> impact of introduced technologies<br />

(Ranaweera 1988). One approach is <strong>the</strong> 11c.fot.c and ojtc>r approach. Different impact<br />

parameters are compared using information obtained before <strong>the</strong> introduction of<br />

technoloq and 5-10 yr after its introduction. This approach requires good baseline<br />

informatbn. In <strong>the</strong> absence of baseline inforniation. a wirlz il~ld ~t.it/zol,t technology<br />

approach can be used. Impact parameters from sites where <strong>the</strong> technology was<br />

introduced are compared with parameters collccted from sites where no<br />

technological innovation was introduced. The rocllt~olo~ udoptet. arid rzorltrliopter<br />

approach, in which two groups of farniers are classified :iccording to specified<br />

adoption rules, can be applied in a situation where it is diffic~~lt to find a site that is<br />

homologous to <strong>the</strong> project site.<br />

This study used a variant of <strong>the</strong> technology adopter and nonadopter<br />

approach. One dilemma was deciding on <strong>the</strong> domain of <strong>the</strong> impact assessment.<br />

Should it only recognize innovations carried out by <strong>the</strong> Regional Integrated<br />

Agricultural Research Systems (RIARS) in Cagayan Valley Region? Or, sho~lld it<br />

also take into account <strong>the</strong> contributions of o<strong>the</strong>r entities (e.g., seed companies),

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