The System of Rice Intensification and Its Puzzling Impacts on Household Welfare: Evidence from Rural Indonesia Kazushi Takahashi and Christopher B. Barrett Presentation at workshop on The Economics of Global Poverty Calvin College July 12, 2012 Motivation “SRI is pro-poor technology”: – Nontraditional origins (developed by missionary priest in Madagascar, not in the labs/fields of a research institute) – No additional or new external inputs needed – Intensive use of labor, which the poor commonly have Controversy within rice community – Repeated observations of large yields gains (50-200%) on farmers’ fields while some trials show little impact on yield in experimental fields (McDonald et al., 2006, 2008). – Weak theoretical foundation: Science behind SRI is “mysterious” and is not well accepted by some crop scientists. (“Scientific Unconfirmed Field Observations”) Knowledge gap What are the welfare impacts of SRI? - Widespread adoption but in some places also much disadoption … are users really better off? - Experimental fields may not reflect realities faced by farmers, while simple with-without comparisons among farmers or over time ignore selection effects. - Especially because of its labor use implications, must look beyond just partial productivity of land (yield) impacts Our core (as-yet-unanswered) question: What are the consequence of SRI use for household income, including off-farm income generation, and on children’s education? Our contribution Use original primary data collected in rural Indonesia to: • Identify the factors associated with SRI use • Use those results to match on observables using propensity score matching (PSM) (w/Rosenbaum bounds for unobservables sensitivity) • Estimate the impacts of SRI adoption on: – yield and rice income/HA at plot level – Farm/off-farm/total incomes, and child school enrollment at hh level Core findings: - SRI indeed generates big (~64%) yield and plot-level rice income (107%) gains but also demands more labor. - SRI users have lower off-farm earnings, especially women’s selfemployed earnings and as a result have no significant total income gains - SRI users’ children show no difference in school enrollment patterns - Puzzle: where do the productivity gains go? What is SRI? System of Rice Intensification is a systems-based rice production approach/technology characterized by: 1. 2. 3. 4. young seedlings of 8-12 days old shallow planting (1-2 cm) of one or two seedlings sparse planting density (more than 20 × 20 cm) intermittent irrigation (alternate wetting and drying) It is commonly held that SRI is complex and careful/ timely water management and weed control are required. Thus both higher yields and higher yield risk. What is SRI? SRI Seedling (10 days after Seeding) Non-SRI Seedlings (30 days after seeding) Photos by Nippon Koei What is SRI? Wet Dry Photos by Nippon Koei What is SRI? SRI NonSRI Photo by Christine Moser (Madagascar) What is SRI? Photos by Nippon Koei Impact Evaluation Want to know avg treatment effect on the treated (ATT): ATT = E( y1i y0i | Di = 1) = E( y1i | Di = 1) E( y0i | Di = 1) But it is never possible to observe the outcome of SRIadopters had they not adopted SRI, ( y0i | Di = 1). So use PSM to match conditional on probability of SRI use, as estimable based on plot- and household-level observable characteristics. Vulnerable to selection-on-unobservables, so (i) try to elicit/control for key unobservables, (ii) do sensitivity testing using Rosenbaum bounds. Data Indonesia, South Sulawesi, Jeneponto District • Poor, agriculture-dependent region • Annual rainfall is limited (1,000 mm-1,500 mm/year) • Irrigation project funded by JICA • SRI promoted under the scheme since 2002 • Sample of 864 rice farmers (122 SRI adopters/742 non-adopters), operating 1202 rice plots • Wet season, cross-sectional data collected in 2009 Descriptive Stats 1 Mean sd Household Characteristics # of Cultivated Plots Total Land Size Adopt SRI SRI Experience # Agricultural Advisors Advisors Ever Adopt SRI (ha) (%) (years) (%) 1.43 0.64 14.12 0.71 0.77 17.13 0.8 0.6 34.8 1.9 1.0 37.7 13.98 34.69 13.64 13.14 13.56 11.15 9.98 34.34 33.80 34.25 31.49 29.99 Plot Characteristics Adopt SRI Young Seedling Shallow Planting Parse Planting Intermittent Irrigation Full Adoption of SRI (%) (%) (%) (%) (%) (%) Descriptive Stats 2 SRI NonSRI Diff Plot level outcomes Yield (ton/ha) 5.50 2.95 2.54*** Rice income per ha (Mill Rp) 6.67 168 2.46 1034 4.21*** N Household level outcomes Monthly Total Farm income Monthly Total off-farm labor income Monthly Off-farm wage earnings Monthly Self-employed non-farm income Monthly Total labor income N (000 RP) (000 RP) (000 RP) (000 RP) (000 RP) 732.50 238.80 493.7*** 543.90 503.90 398.10 272.30 125.80 145.90 231.60 -85.69 1276.50 742.70 533.7*** 122 742 40.06 Elicited Risk Preferences Conducted a simple/standard game in the field: Game A B EV Difference Risk Aversion Class 1 50000 75000 50000 12500 Inefficient 2 50000 75000 45000 10000 Risk-averse 3 50000 75000 35000 5000 Risk-averse 4 50000 75000 25000 0 Risk-averse to Risk-neutral 5 50000 75000 15000 -5000 Risk-neutral to Risk-lover 6 50000 75000 5000 -10000 Risk-lover No change=Risk-lover Elicited Risk Preferences .8 1 No real risk preference differences b/n SRI users/non-users: Risk Loving .4 .6 Risk Neutral 0 .2 Risk Averse 1 2 3 4 # Game SRI adopter 5 Non-Adopter 6 7 Probit SRI Use Estimates Probit Estimates Dummy equal to 1 if plot is in upstream Dummy equal to 1 if plot is in midstream Dummy equal to 1 if plot is in downstream Dummy equal to 1 if plot recieve water directly from canal Size of plot (ha) Number of plots a household operates Dummy equal to 1 if a household head is female Number of HH members age 6 and below Number of HH members age 15 and above Number of HH members age between 6-14 Proportion of male household members Number of agricultural technology advisors Dummy equal to 1 if at least one technology advisor ever adopt SRI Dummy equal to 1 if household is risk averse Dummy equal to 1 if household is risk loving Pseudo R-squared Estimate (SE) 0.802***(0.238) 0.488** (0.199) 0.388 (0.242) 0.947*** (0.222) 0.243* (0.141) -0.121** (0.052) -0.823*** (0.294) -0.330*** (0.070) 0.071** (0.032) 0.026 (0.073) -0.432 (0.384) 0.010 (0.055) 1.843*** (0.133) -0.425* (0.228) -0.002 (0.269) 0.379 PSM Impact Estimates Plot-Level Impacts of SRI Use SRI Yield Seasonal rice income per ha Family labor per ha (ton/ha) (Mill RP) (mandays) 5.54 6.75 62.75 Non-SRI Difference 3.37 3.27 46.72 2.17 3.49 16.03 t-stat Rosenbaum bounds critical level 6.69 *** 4.59 *** 2.56 ** Even allowing for the possibility of selection-on-unobservables, the impacts of SRI use on rice yields, rice income per hectare and family labor use per hectare all appear strongly positive. 3.4 2.2 1.2 PSM Impact Estimates Household-Level Impacts of SRI Use SRI Non-SRI Difference t-stat Rosenbaum bounds critical level Monthly total farm income (000 RP) 661.60 263.10 398.49 Monthly total off-farm labor income of which Off-farm wage earnings Self-employed non-farm income by gender (000 RP) 571.62 976.82 -405.21 -2.20 ** 1.9 (000 RP) (000 RP) 419.05 152.57 303.04 673.78 116.01 -521.21 0.72 -5.40 *** 5.4 (000 RP) (000 RP) 237.67 333.94 147.58 829.25 90.10 -495.30 0.89 -3.64 *** 2.8 (000 RP) 1233.21 1239.93 -6.71 Male Female Monthly total labor income 3.88 *** -0.03 Note: *** p<0.01, ** p<0.05, * p<0.1 Farm income gains from SRI use are completely offset by lower off-farm earnings, especially women’s self-employed non-farm income. Puzzling result: no household income gains from SRI. 2.0 - PSM Impact Estimates Household-Level Impacts of SRI Use The proportion of school-aged children actually go to school of which Male Female The proportion of school-aged children lagged behind of which Male Female SRI 0.92 Non-SRI 0.92 Difference 0.01 t-stat 0.16 0.99 0.88 0.12 0.95 0.89 0.11 0.04 -0.02 0.01 0.65 -0.26 0.19 0.01 0.20 0.07 0.15 -0.05 0.05 -0.79 0.62 Note: *** p<0.01, ** p<0.05, * p<0.1 Despite increased labor demands of SRI use, children in SRI using households are no less likely to attend school or no more likely to be delayed in school progress. Reflects offsetting income effects of productivity gains and substitution effects on labor demand? Conclusions We corroborate claims of SRI’s tremendous plot level productivity gains, but also of increased labor demand. But we find that these productivity gains vanish at household level. SRI seems to induce reallocation of (women’s) time from off-farm (self-)employment, wiping out income gains. Some of those are perhaps invested in keeping children in school in spite of higher returns to family labor on-farm. Puzzle: where do the productivity gains go? Why no disadoption? Thank you! Thank you for your time, interest and insights