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ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE The rapid expansion of herbicide use in smallholder agriculture in Ethiopia Seneshaw Tamru, Bart Minten, Fantu Bachewe, and Dawit Alemu 14 th International Conference on the Ethiopian Economy Ethiopian Economics Association July, 2016 Addis Ababa 1
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Page 1: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE

The rapid expansion of herbicide use in smallholder agriculture in

EthiopiaSeneshaw Tamru, Bart Minten, Fantu Bachewe, and Dawit Alemu

14th International Conference on the Ethiopian EconomyEthiopian Economics AssociationJuly, 2016Addis Ababa

1

Page 2: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

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1. Introduction Fast transformation of agriculture in the

last decade

Modern inputs have played an important part- Fertilizer and improved seeds

But, very little attention towards agro-chemicals

They however play a crucial role in modernizing farming systems in developing countries

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Why study this? Most of the research on the

environmental and health implications Little evidence on the economic

determinants of adoption of agrochemicals

Therefore, Does herbicide adoption lead to better

productivity? What determines the adoption?

We study the case of Ethiopia and teff

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2. Data Two types of sources: A. Qualitative information-interviews with:

EIAR, Adami Tulu, private traders, etc

B. Quantitative1. Customs/Comtrade data (imports)2. AGP- 8,000 HHs in high potential areas3. ESSP’s 2012 teff survey-5 major zones:

1200 HHs

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2. Methodology-1 - Production Function and Labor Productivity

Where: 𝐿𝑄𝑖𝑝 𝑖s the logarithm (quintal)/labor productivity of producer i on a plot j. 𝑋𝑖𝑝𝐾 are other factors that influence teff production/labor productivity including soil type, plot slope, seed type, logarithms of altitude, fertilizer, and seed. 𝑉𝑖 is individual specific effect, 𝑃𝑖 plot specific effect, 𝑈𝑖𝑝 a stochastic error term.

𝐿𝑄𝑖𝑝 = 𝛽𝑘𝑋𝑖𝑝𝑘𝑁

𝑘=0 + 𝑉𝑖 + 𝑃𝑖 + 𝑈𝑖𝑝 (1)

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2.Methodology-2• Double Hurdle Model

• 1.Herbicde use or not, D is not observed• 𝐷_ =1 _ + _ >0𝑖 𝑖𝑓 𝑍 𝑖 𝛿 𝑢 𝑖• 𝐷_ =0 _ + _ ≤0 𝑖 𝑖𝑓 𝑍 𝑖 𝛿 𝑢 𝑖• 2. 〖𝑌 _𝑖〗 ^ = _ + _∗ 𝑋 𝑖 𝛽 𝜀 𝑖• 𝑌_ =𝑖 〖𝑌 _𝑖〗 ^ _ =1 ∗ 𝑖𝑓 𝐷 𝑖 𝑎𝑛𝑑〖𝑌 _𝑖〗 ^ >0∗• 𝑌_ =0 (or _ =0 or 𝑖 𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒 𝐷 𝑖

(〖𝑌 _𝑖〗 ^ ≤0 & _ =1) )∗ 𝐷 𝑖• 𝑢_ ≈ (0,1 )𝑖 𝑁• 𝜀_ ≈ (0, ^2) 𝑖 𝑁 𝜎• 𝑐𝑜𝑟𝑟( _ , _ )= unobserved elements effecting 𝑢 𝑖 𝜀 𝑖 𝜌

herbicide application • Farmer make decisions in two step

Decision 1Use Herbicide

or Not?

Herbicide Adoption

Decision 2How much

herbicide to apply

Apply Herbicide

Do not use Herbicide

Amount of Herbicide applied

• Li(θ)=1[yi=0]log[1- (xiγ)]+1[yi>0]log[(xiγ)] • +1[yi>0]{-log [(xiβ/σ)] +log{φ[(yi – xiβ)/σ]} –

log(σ)}• Conditional: E(y|x, y>0)= xiβ+ σλ(xiβ/σ)• Unconditional: E(y|x)= (xiγ)[xiβ+ σλ(xiβ/σ)]

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3.Herbicide imports in Ethiopia -Imports of agro-chemicals have risen

fivefold- from just below 20 million USD to over 100 million USD

Page 8: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

3.Herbicide imports in Ethiopia -Changes in country of origin and

herbicide types

Page 9: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

3.Herbicide use -Mostly herbicide

Herbicides Insecticide FungicidesAll crops 23.2 1.0 1.7

Cereals 35.8 1.2 1.5 Teff 45.8 0.3 0.8Barley 39.2 0.6 0.8Wheat 59.9 5.0 1.5Maize 15.2 0.3 2.1Sorghum 16.9 0.4 2.6

Pulses 1.7 0.3 3.9Oil-seeds 4.4 0.1 0.4Vegetables 6.6 8.2 0.3Root crops 1.3 4.2 6.2Fruit crops 0.0 0.0 0.0Chat 0.0 1.9 14.9Coffee 0.4 0.0 0.0Enset 0.2 0.1 0.0

All other crops 11.3 0.5 1.0

CropShare of crop area applied on

Page 10: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

3.Herbicide use -Mostly herbicide

Page 11: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

4.(a). Labor productivity effects -Weeding and herbicide use in teff

Page 12: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

4.(a). Released Labor 10 152 015

29.52 994 844

Non Adopters AdoptersFemale weeding labor days/ ha 20 8Male weeding labor days/ ha 27 17

Non Adopters [millions]

Adopters [millions]

Saving on labor (persondays) [millions]

Average rural wage rate=birr 50/ day [millions]

Average herbicide= birr 68/ ha [millions]

Total women days for weeding 59.3 24.3 35.0 1 750.6 Total men days for weeding 79.7 49.9 29.8 1 492.0 Total labor 139.1 74.2 65 3 243 204 3 039

Cereal Area in 2014/ 15 % herbicide applied area herbicide area

Page 13: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

4.(a). Labor productivity effects -Higher labor productivity-especially of

weeding labor Weeding labor only All labor

Weeding labor only All labor

Coeff. Coeff. Coeff. Coeff.Herbicide use (Dummy) yes=1 0.10** 0.04*** 0.07** 0.00Area of plot log (hectare +1) 0.66*** 0.15*** 0.67*** 0.18***DAP use log(kg +1) 0.15* 0.07*** 0.14** 0.08**UREA use log(kg +1) 0.06 0.04* 0.15*** 0.03Interaction (fertilizer and herbicide use) -0.03* -0.01* -0.03** -0.00Cost to addis ln(birr/qt) -0.04* -0.01*Rural wage ln(birr) 0.19*** 0.06***Land rent ln(birr) 0.11*** 0.02***Distance to nearest cooperative ln(minutes +1) -0.04*** -0.01***

Household characteristicsSlope of the plotOther plot charachteristics (soil easy to plow, teff last year)Application of manure/organic fertilizerColor of seedSeed varietyRain and pest patterns Color of soil

Interecept log (interecept) 0.77*** 0.25*** 0.43 -0.20Number of observation 2402 2749 2402 2749

F(, )/Wald chi2() 9.00*** 16.05*** 815.26*** 1157.73***

Yes Yes

Yes YesYes YesYes Yes

Yes YesYes YesYes Yes

Dependent variable=log(production/weeding labor days) or =log(production/total labor days)

unit

Fixed Effects Random Effects

Additional controls:No Yes

Page 14: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

4. (b). Herbicide on production -Herbicide use leading to more

production Fixed EffectsCoeff. t-value Coeff. t-value

Herbicide use (Dummy) yes=1 0.18 4.20*** 0.08 2.83***Area of plot log (hectares +1) 0.84 6.35*** 1.07 8.38***Altitude log (meters +1) 0.23 2.58***Number of tilling log (number +1) 0.20 2.42** 0.13 3.33***Seed variety (default=quncho)

Other improved seed yes=1 -0.11 -2.66*** -0.04 -1.29Traditional seed yes=1 -0.10 -2.68*** -0.08 -3.31 ***

Seed use ln(kg +1) 0.21 6.34*** 0.18 7.63***DAP use ln(kg +1) 0.33 4.68*** 0.32 3.87***UREA use ln(kg +1) 0.27 3.77*** 0.30 4.29***Interaction (Fertilizer and herbicide use) -0.05 -3.17*** -0.05 -3.70***Labor use ln(person hours) 0.24 7.45*** 0.17 6.84***Gender of head 0.09 1.76*Education of head (1=edu, 0=no ) 0.05 2.28**Household is a model farmer yes=1 0.05 2.22**Distance to nearest cooperative ln(minutes +1) -0.03 -2.19**Land owned ln(hectares +1) -0.08 2.66***

Other household characteristicsSoil easy plow and whether planted teff last yearRain and pest patternColor of soilSlope of the plot No. of weeding, app.maure/organic fertilizerColor of seed

Interecept log (interecept) -0.48 -2.46** -3.29 -4.23***Number of observation 2749 2749

F(, )/Wald chi2() 121.73*** 4691.44***

Yes Yes

unitDependent variable=log(quintals)

Yes YesYes Yes

Yes YesYes Yes

Also controlled for:No YesYes Yes

Random Effects

Page 15: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

5. Drivers 1. Changes in Incentives

Page 16: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

5. Drivers 2. The increased market access by Ethiopian farmers

-Travel time to a city of at least 50,000 people (1996/97 and 2010/11)

Page 17: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

5. Drivers. Factors determining Adoption

Transport cost to Addis log(birr/qt) -0.578*** -3.534*** -2.040***Wage rate (village level) log(birr/day/person) 2.982*** 9.161*** 5.287***Distance to allweather road log(minutes +1) -0.103*** -0.526 -0.303Altitude log(meters +1) -2.584*** -5.886 -3.397Land size log(hectares +1) 1.549*** -8.876*** -12.67***Household size log(number) 0.412*** -0.275 -0.159Share of children log(share +1) -0.310 4.884* 2.819Total land owned log(hectares +1) 0.977*** 2.381** 1.374**Asset log(birr) 0.057*** 0.143 0.082

Other household characteristics Yes YesSlope of plot, color of seed, seed variety Yes YesApplied manure/organic fertilizer Yes YesSoil easy to plow, planted teff last year Yes YesRain and pest pattern Yes YesDistances to market and agric.coop Yes Yes

Interecept log(intercept) 7.679 94.118***Number of Obs. 2369Wald Chi2 ( ) 665.40***Sigma _cons 14.478***

Dependent variable=Herbicide Application (yes/no dummy or amount)

Unit

Additional controls for:

Determinants of decision to use (yes/no) herbicide

Factor determining amount (value) of herbicide use

Average (APE)

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6. Conclusions • Rising use of herbicides in the country, mostly on commercial cereals.

• 2-4-D has been most widely used

• Herbicide application leads to improved production, labor and land productivity.

• Transport cost to a big city, rural wage rate levels mainly influence the adoption (and amount) of herbicide.

Page 19: The rapid expansion of herbicide use in smallholder agriculture in Ethiopia

7. Policy Implications • First, nationally, about 65 million person-days would be saved.

• If herbicides will be further applied, this will lead to significant further release of labor in rural areas, with significant impacts on labor markets, and urbanization.

• Second, there are reported issues with quality that should be monitored.

• Third, application of herbicides is often used without proper protection. This might lead to health implications for those farmers that do so.

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THANK YOU!


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