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Panel Data Evidence from Irrigated Rice Production in Southern

Panel Data Evidence from Irrigated Rice Production in Southern

Panel Data Evidence from Irrigated Rice Production in Southern

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104 PHILIPPINE JOURNAL OF DEVELOPMENTcould expla<strong>in</strong> such behavioral outcomes, such changes were not dramaticover the study period, leav<strong>in</strong>g us to conclude that irrigation was the driv<strong>in</strong>gforce beh<strong>in</strong>d the behavioral patterns we observe.Regard<strong>in</strong>g yields, Figure 4 suggests yields fell below profit-maximiz<strong>in</strong>glevels on ra<strong>in</strong>fed farms <strong>in</strong> 1995 and on irrigated farms <strong>in</strong> 1999, but were aboveprofit-maximiz<strong>in</strong>g levels on 1997 irrigated farms. In other words, high levelsof labor and pesticide application <strong>in</strong> 1997 were correlated with high yields,did not translate <strong>in</strong>to sufficiently high marg<strong>in</strong>al value products to justify thecost of <strong>in</strong>put application at these levels. In the case of pesticides, it may bethat farmers assign risk-reduc<strong>in</strong>g properties to these <strong>in</strong>puts that we do notaccount for <strong>in</strong> this analysis. Nevertheless, observed pesticide application levelsdo approach those of profit-maximiz<strong>in</strong>g levels <strong>in</strong> 1999. Labor, on the otherhand, rema<strong>in</strong>ed “over-applied” <strong>in</strong> 1999 vis-à-vis profit-maximiz<strong>in</strong>g levels. Inthis analysis we value all labor, <strong>in</strong>clud<strong>in</strong>g household-supplied labor, at theaverage wage rate. Thus “over-application” may <strong>in</strong>dicate that some householdsassigned a below-market shadow value to household labor. Separate(unreported) regressions, <strong>in</strong> which household and hired labor enter theproduction function separately, provide some weak statistical evidence thathousehold labor was more productive than hired labor.As a f<strong>in</strong>al step <strong>in</strong> the analysis, we use our data to calculate averageannual <strong>in</strong>put use on a parcel for a better understand<strong>in</strong>g of the long-runimplication of irrigation development on overall factor use. In Table 3 weaccount for the shift <strong>from</strong> a s<strong>in</strong>gle crop of rice to multiple (back-to-back)crops of rice by comput<strong>in</strong>g average labor use over a calendar year. For parcelson which rice was only planted once, Table 3 entries are based on per-hectare<strong>in</strong>put levels. For parcels <strong>in</strong> which rice was planted multiple times on the fielddur<strong>in</strong>g the year, entries represent per-hectare per-parcel averages (areaweighted,if the planted area differed between ra<strong>in</strong>y and dry seasons). As theFigure 4. Observed and profit-maximiz<strong>in</strong>g yields (kgs/ha/season)45004000350030002500200015001000observedoptimal50001995 wet(ra<strong>in</strong>fed)1997 wet(ra<strong>in</strong>fed)1997 dry(ra<strong>in</strong>fed)1997 wet(irrigated)1997 dry(irrigated)1999 wet(irrigated)1999 dry(irrigated)

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