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“Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in Honduras” José Falck Zepeda, Denise McLean, Patricia Zambrano, Arie Sanders, Maria Mercedes Roca, Cecilia Chi-Ham Paper presented at the 17 th ICABR meeting, Ravello Italy, June 21 2013

Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

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Page 1: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

“Adoption Impacts and Access to Innovation in

Small Resource Poor Countries: Results from a

Second Round Survey and InstitutionalAssessment in Honduras”

José Falck Zepeda, Denise McLean, Patricia Zambrano, Arie Sanders, Maria Mercedes Roca, Cecilia Chi-Ham

Paper presented at the 17th ICABR meeting, Ravello Italy, June 21 2013

Page 2: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

2000

2002

2004

2006

2008

2010

0

5

10

15

20

25

Agriculture Value Added

Sub-Saharan AfricaWorldHondurasUnited States

% o

f G

DP

Honduras: High reliance on agriculture

Agricultural sector 13% of GDP1

Agribusiness and related sector 40-45%2 GDP

1 World Bank, 20112 http://www.hondurasopenforbusiness.com/SITEv2/files/pdf/Oportunidades_de_inversion_Agroindustria.pdf

Page 3: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Graphs: WorldBank Development Indicators (2013) Map: National System of Environmental Indicators, SINIA

2000

2002

2004

2006

2008

05

10152025

Arable Land

Sub-Saharan AfricaWorldHondurasUnited States

% o

f Lan

d A

rea

Honduras: Limited resources for agricultural production especially land

87% of territory corresponds to hillsides susceptible to erosion

Page 4: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

2000

2002

2004

2006

2008

2010

0

2000

4000

6000

8000

Cereal Yield

Sub-Saharan AfricaWorldHondurasUnited States

Kilog

ram

s /

hecta

re

Honduras: Low productivity of major staple crops

Honduras’ Productivity: 1/3 of world averages and

1/7 of US yields

Page 5: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Corn is an essential part of Honduran diet

1FAO Statistics Division, 2012, 2Ministry of Agriculture and Livestock, 2012

Top commodity available for consumption 739 kcal/person/day

Basic grains represent up to 60% of Honduran diet

48% of total demand is for human consumption

Production Value, Top Commodities (2011)

Value [1000 Int$]

Value [1000 Int$]

1 Coffee, green 303357 8 Tomatoes 56580

2Cow milk, whole

230723 9 Oranges 54126

3 Chicken Meat 222122 10 Beans, dry 51791

4 Bananas 204849 11 Pineapple 39416

5 Cattle Meat 165830 12 Eggs 36661

6 Sugar cane 164766 13 Melons 33139

7 Palm oil 139218 14 Corn 32068

Corn in Honduras is grown mostly for food/feed

Page 6: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Corn supply in Honduras increasingly dependent on imports

1985

1987

1989

1991

1993

1995

1997

1999

2001

2003

2005

2007

2009

0

100

200

300

400

500

600

700

800

0

1000

2000

3000

4000

5000

6000

7000

8000Corn Production and Trade

Corn production Corn imports Corn exports

Ton

s (

thou

san

ds)

Pop

ula

tion

(t-

hou

san

ds)

Nearly 40% of corn is imported and thus high concerns for corn price

volatility in international markets

Honduras Agriculture Ministry Jacobo Regalado:

“From the million ton we need we are only producing 600 thousands. We are still importing 400 thousands(…) The idea is to accelerate the pace to substitute those 400 thousands with local production”.

Hondudiario, March 19, 2012

Page 7: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Honduras: The problem with production intensificationDamage by lepidopteran insects can be as

high as 40-70% Increasing issues with other pests and

diseasesHeavy damage due to aflatoxins / mycotoxinsNeed to explore new control alternatives

amenable to smallholder´s producersSmallholder producers:

Little access to technology, pest control alternatives and credit

Knowledge limitations: to determine damage and to make correct chemical applications….

Page 8: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

GMOs in Honduras8th Latin American country adopting GMOs since

20021

1ISAAA, 2012

Only country in Central America cultivating GMOs for

food

-USA*

-Brazil*

-Argentina*

-South Africa*

-Canada*

-Uruguay x1.5

-Philippines x3

-Spain x5

-Chile x7

-Honduras-Portugal x.8

-Czech Republic x .7

-Poland x3

-Egypt x9

-Slovakia x0.4

-Romania x2

• By 2011, 72 thousand ha with hybrids and GM 15% area planted1

• GM estimated around 25-30 thousand ha

BT (MON810), RR (NK603), Herculex 1 , YGVTPro (MON89034) traits approved for commercialization

Page 9: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

WHY GMOs adopted in Honduras?

Page 10: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Honduras: promotional environment favoring biotechnology adoption

Favorable policy, economic and social conditions facilitated

adoption

UN Statistics Division, 2011. WTO Statistics, Trade Profiles, 2012

Strategic interest in aligning agricultural policies with the major economic and trade partners

• Honduras trade is essentially tied to the United States

• Historically strong presence of agricultural multinationals interested in increased agricultural productivity

Page 11: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Established Biosafety Framework and Regulations Incorporated biotechnology in National Food Self Sufficiency

Strategy Coordinated a joint agricultural and environmental political

agenda

‘To facilitate the process to incorporate

hybrids and transgenic seeds in 25% of the

area planted at the national level by 2014’Honduras Agricultural and Livestock Ministry goal

Public Agricultural and Food Sector Strategy

1996/98: Biosecurity Regulation with Emphasis in Transgenic Plants1998: National Committee of Biotechnology and Biosecurity (NCBB) 2006: CAFTA-DR Phytozoosanitary Law modification2008: Cartagena Protocol Ratification2001/12: Law for the Protection of New Varieties of Plants

USAID GAIN Report 2012.

Honduran government specific policy support for easing a transition towards biotechnologies

Honduras: A case study to understand biotechnology adoption in small resource poor developing countries

Page 12: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Honduras in the Latin American innovation sphere

  Small markets

Medium markets

Large markets

Non-selective importers of technology 

El Salvador, Guatemala, Honduras, Nicaragua, Panamá

Bolivia, Ecuador

 

Selective importers of technology 

Costa Rica, Uruguay

Paraguay, Peru

Venezuela

Tool users  

- Colombia, Chile

Argentina, Mexico

Innovators  

    Brazil

Notes: 1) Source: Trigo, Falck-Zepeda and Falconi (2010), 2) Non-adopters are listed in italic text.

Page 13: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Which policies are important?  Public

sector investments in biotechnology applications

Intellectual property management

Biosafety regulations

Food/feed safety and consumer protection

Support for public sector participation and tech transfer including seed systems

Non-adopters

         

Bolivia 0 0 - - 0Ecuador 0 0 - - 0Guatemala 0 - 0 0 -Perú 0 - - 0 0Venezuela + - - 0 0           

Adopters          

Argentina + 0 0 + +Brazil + - 0 0 +Costa Rica + - 0 0 +Honduras 0 - 0 0 -

Mexico + 0 0 0 +Uruguay + 0 0 0 +

Notes: 1) Source: selected countries from Trigo, Falck Zepeda and Falconi (2010), 2) + signifies promotional policies, 0 denotes neutral policies, - reflects preventive policies, 3) Brazil was categorized as having a preventive biosafety policy in the Trigo et al. paper, but is reclassified here as neutral based on recent developments in the country.

Page 14: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

HOW HAS GM CORN WORKED IN HONDURAS?

Page 15: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

GM maize provided excellent target pest control

Bt yield advantage 856-1781 Kg ha-1 yield

Bt maize yields preferred even by risk averse producers

100% higher seed cost than conventional hybrid

Institutional issues important

Photos credit: © Sanders and Trabanino 2008

Falck-Zepeda, J., A. Sanders, C. Rogelio Trabanino, & R. Batallas-Huacon. Caught Between Scylla and Charybdis: Impact Estimation Issues from the Early Adoption of GM Maize in Honduras. AgBioForum, 15(2), 138-151. Available on the World Wide Web: http://www.agbioforum.org.

2008 GM maize crop cycle in Honduras: Results from our first survey

Page 16: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

The 2013 (second) survey to observe experiences of conventional & GM corn farmers

Economic, social and agronomic impacts

Farmers by corn typeSize

Total< 7 hectares > 7 hectares

Conventional only 58 25 83

GM only 39 57 96

Both types of corn 11 19 30

Total 108 101 209

We chose a representative sample of corn farmers

from the main corn producing state in Honduras

Page 17: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Major maize producing areas in Honduras

Page 18: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Olancho: The main corn producing state in Honduras

- 180,000 metric tons

- 35,000 planted hectares >30 % national corn production

- 12,000 hectares with GM >40% GM corn production

- 10,000 farmers

- A range of different corn production systems

We captured diversity within the commercial corn production chain

Page 19: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Number of applications Conventional GM

Both types, conventional

plot

Both types, GM plot

< 7 ha > 7 ha < 7 ha > 7 ha < 7 ha > 7 ha < 7 ha > 7 ha

Insecticides 1.7 1.9 1.6 1.3 1.9 2.0 1.0 1.1 S

Herbicides 2.6 2.7 1.7 1.5 2.7 2.1 1.7 1.6 S

Fungicides 1.0 1.5 1.2 1.5 1.0 1.3 1.0 1.0 NS

Fertilizers 2.2 2.3 2.4 2.3 1.9 2.6 2.3 2.6 NSS: Significant, NS: Not significant

Our findings: In average GM corn farmer seem to be using less pesticides

GM corn producers from sample made one insecticide and herbicide application

less

Page 20: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Environmental Impact

QuotientConventional GM

Both types, conventional

plot

Both types, GM plot

< 7 ha > 7 ha < 7 ha > 7 ha < 7 ha > 7 ha < 7 ha > 7 ha

Insecticides 5.2 6.3 4.3 11.0 4.6 8.2 3.1 6.1 NS

Herbicides 24.3 29.6 27.1 28.6 42.6 12.5 24.6 16.0 NS

Fungicides 3.0 3.7 14.5 10.4 7.1 7.1 7.1 9.4 NS

Fertilizers 23.7 27.4 36.6 41.6 36.2 16.9 25.5 22.6 NSS: Significant, NS: Not significant

GM and conventional corn farmers seem to have a similar environmental impact measured by the EIQ

EIQ: J. Kovach et al, IPM Program, Cornell University, New York State Agricultural Experiment Station Geneva, New York 14456

Page 21: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Cost structure in corn production  Conventional GM

  < 7 hectares

> 7 hectares

< 7 hectares

> 7 hectares

Total costs (US$/ha) 717.1 749.7 1209.1 1460.8 *Yield (ton/ha) 2.8 3.4 5.4 5.5 *Price (US$/ton) 273.7 294.4 352.3 394.5 *Income (US$/ha) 748.5 1018.6 1929.7 2189.1 *Profit (US$/ha) 32.1 269.9 722.5 730.4 *1

1 At small scale

GM corn farmers seem to be obtaining higher yields & profits

Page 22: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Of Cook’s D, the issue of outliers and sampling biases

1

3

5

11

2021 40

42

56 6068

76

7778

84

8586

8889

909192

93949699

100101 103104 106107 109

110111112114 115

116

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121 122125 127

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130

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133

135 136137140141144

145

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153154

155157158159

161 164166

168

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174175176182

183184185

186191198

199200

203204

206 208

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215216

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00

20

40

Rob

ust s

tan

dard

ize

d re

sidu

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0 500 1000 1500 2000Robust_distance

Observation ID Yield

Cook’s D

42 6.500 0.05384 5.200 0.38599 7.475 0.033

116 4.543 0.039120 9.100 0.020121 2.507 0.022129 2.839 0.021131 6.500 0.688132 3.250 0.054143 1.817 0.028152 5.200 1.230155 7.800 0.036169 1.083 0.020170 6.045 2.381173 0.975 0.030174 8.060 0.032182 0.195 0.060200 5.200 0.033212 7.800 0.032217 1.300 0.020222 9.100 0.022230 6.500 0.026

“The classical instrumental variables (IV) estimator is extremely sensitive to thepresence of outliers in the sample. This is a concern as outliers can strongly dis-tort the estimated effect of a given regressor on the dependent variable. Althoughoutlier diagnostics exist, they frequently fail to detect atypical observations sincethey are themselves based on non-robust (to outliers) estimators. Furthermore,they do not take into account the combined influence of outliers in the first andsecond stages of the IV estimator” Desbordes and Verardi, Stata Journal 2012

Page 23: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Production function approach

Robust Regression (MM-Regression 85% efficiency, ROBREG)

Robust Regression ( MSREGRESS)

Instrumental Variables ( IVREG2)

Variable Coef.Robust SE Coef. Robust SE Coef. SE

GM corn user (1=Yes) 1.254 0.319*** 1.157 0.387*** 1.453 0.329***Located in Juticalpa/Catacamas (1=Yes) 0.346 0.414n.s. 1.303 0.199*** 0.336 0.304n.s.Proportion of income from non-ag sources (%) -0.011 0.005** -0.006 0.007n.s. -0.009 0.004**

Number of members in the household -0.066 0.068n.s. -0.102 0.061* -0.096 0.051*

Time cultivating GM maize -0.014 0.007** -0.026 0.005*** -0.010 0.006n.s.

Total income 0.251 0.105** 0.189 0.075** 0.216 0.078***

Total area in production (ha) 0.002 0.001* -0.002 0.002n.s. 0.002 0.001n.s.

Total area cultivated with maize (ha) -0.004 0.006n.s. 0.004 0.002* -0.004 0.004n.s.

EIQ index -0.039 0.019** 0.013 0.016n.s. -0.020 0.014n.s.

Seed quantity planted (kg/ha) -0.002 0.016n.s. 0.117 0.020*** -0.005 0.015n.s.

AI insecticide (Kg/ha) 1.030 0.593* 2.156 1.139* 0.718 0.561n.s.

AI herbicide (Kg/ha) 0.070 0.064n.s. 0.084 0.114n.s. 0.158 0.070**

AI fertilizer used (Kg/ha) 0.009 0.004** 0.017 0.002*** 0.005 0.002**

AI other pesticides(Kg/ha) 3.268 1.758* 1.736 0.555*** 1.516 0.883*

Cost labor per day ($/ha) -0.008 0.006n.s. -0.006 0.006n.s. -0.004 0.006n.s.

Seed planted squared 0.000 0.000n.s. -0.002 0.000*** 0.000 0.000n.s.

AI insecticide squared -0.261 0.133** -2.090 0.736*** -0.167 0.143n.s.

AI herbicide squared -0.003 0.002n.s. 0.016 0.009* -0.006 0.003**

AI fertilizer squared 0.000 0.000** 0.000 0.000*** 0.000 0.000n.s.

AI other pesticides squared -3.978 2.040* -1.207 0.290*** -0.926 0.654n.s.

Irrigation (1=Yes) -0.463 0.387n.s. -0.217 0.180n.s. 0.196 0.305n.s.

Finance (1=Yes) 0.150 0.227n.s. -0.069 0.131n.s. -0.187 0.198n.s.

Technical assistance (1=Yes) -0.170 0.480n.s. -0.404 0.238* -0.174 0.262n.s.

Constant 4.822 1.365*** 3.592 0.846*** 2.665 0.603***

Page 24: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Second stage (2SLS net income) First stage, dependent variables is GM corn user)

Variable Coef. Std. Err. Coef. Std. Err.

GM corn user (1=Yes) 279.1 131.7 **

Located in Juticalpa/Catacamas (1=Yes) 166.3 123.9 n.s. 0.209 0.067 **

Proportion of income from non-ag (%) -1.0 1.7 n.s. 0.001 0.001 n.s.

Number of members in the household -32.5 18.7 * -0.002 0.012 n.s.

Time cultivating GM maize -7.1 2.7 *** 0.003 0.001 *

Total income 96.7 34.4 *** 0.002 0.018 n.s.

Total production area (ha) 1.1 0.3 *** 0.000 0.000 n.s.

Total maize area (ha) 0.0 1.2 n.s. 0.002 0.001 **

EIQ index -6.3 7.6 n.s. -0.003 0.003 n.s.

Seed planted (kg/ha) -4.5 4.7 n.s. 0.002 0.004 n.s.

AI insecticide (Kg/ha) 98.7 209.2 n.s. -0.183 0.130 n.s.

AI herbicide used (Kg/ha) 46.5 26.4 * 0.001 0.017 n.s.

AI fertilizer used (Kg/ha) -1.0 1.1 n.s. 0.000 0.001 n.s.

AI other pesticides (Kg/ha) 201.1 402.1 n.s. 0.002 0.209 n.s.

Cost labor per day ($/ha) -8.5 2.8 *** 0.000 0.001 n.s.

Seed planted squared 0.0 0.0 n.s. 0.000 0.000 n.s.

AI insecticide squared -60.1 49.4 n.s. 0.035 0.033 n.s.

AI herbicide squared -1.7 0.9 * 0.000 0.001 n.s.

AI fertilizer squared 0.0 0.0 n.s. 0.000 0.000 n.s.

AI other pesticides/fungicides used squared -205.6 240.3 n.s. 0.071 0.155 n.s.

Irrigation (1=Yes) -102.9 181.1 n.s. -0.044 0.072 n.s.

Finance (1=Yes) -74.3 97.5 n.s. -0.051 0.047 n.s.

Technical assistance (1=Yes) 56.3 122.4 n.s. 0.046 0.062 n.s.

Price GM seed 0.033 0.005 **

Year cultivating GM seed -0.275 0.032 **

Constant 659.2 214.6 *** 0.252 0.161 n.s.

Net income

Page 25: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

THEN…WHY HAVE WE NOT OBSERVED FULL ADOPTION BY HONDURAN PRODUCERS?

Page 26: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Characteristic

• Monthly income >500 US$• Access to technical

assistance• Access to credit• Farmers applying

fungicides• Insecticide costs• Fertilizer costs• Cost of the use of

machinery

GM

• 82 to 98% of farmers

• 16 to 30% of farmers

• 24 to 56% of farmers

• 58 to 50% of farmers

• 28 to 62 US$/ha• 328 to 373

US$/ha• 192 to 275

US$/ha

Conventional

• 40 to 64% of farmers

• 11 to 0% of farmers

• 19 to 28% of farmers

• 4 to 8% of farmers

• 11 to 16 US$/ha• 213 to 237

US$/ha• 106 to 104

US$/ha

Access to inputs may restrict adoption

Farmers without information, credit or other inputs are less likely to adopt GM crops

Depending on plot size

Page 27: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Access to markets may limit profitability

Farmers with smaller plots or in remote areasare less likely to adopt biotechnology

Characteristic

• Closer to urban areas• Sell directly to industry• Transportation costs• Selling price • Agronomic cycle

GM

• 92 to 93% of farmers

• 45 to 80% of farmers

• 134 to 152 US$/ha

• 352 to 395 US$/ton

• 3-4 months

Conventional

• 12 to 16% of farmers

• 2 to 4% of farmers

• 17 to 40 US$/ha• 274 to 294

US$/ton• 4-5 months

Depending on plot size

Page 28: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Gender/seed typePreferred for production

Preferred for consumption

Conventional GM Conventional GMMale/Conventional 0 13 0 0Male/GM 0 18 5 1Female/Conventional 20 0 18 0Female/GM 0 12 8 0All 20 43 31 1

Farmers may prefer other traits

Local corn varieties make better tortillas

Preliminary data from exploratory panel, 2013. Unpublished.

Preferred traits for production by production size & locationLarge/valley Large/hills Small/valley Small/hills

Black spot resistance

Black spot resistance

Black spot resistance

Black spot resistance

High yield High yield High yield High yieldHeavy grain Heavy grain Heavy grainBT BT BTRR RRPrice PriceDrought resistance Drought resistance

% germinationFull cob

Farmers have greater preference

for protection against risk

Page 29: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

ConclusionsGM maize continues to perform as expected

compared to a conventionalPositive yield advantageHigher net incomeReduction in pesticide applicationsUnclear environmental impact (need more work)

For expansion of area with GM maize in Honduras, issue is not a technical issue but seems to be an institutional

Additional work needed to examineProduction and financial riskDistribution of impact by sizeImpacts of institutional issues

Page 30: Adoption Impacts and Access to Innovation in Small Resource Poor Countries: Results from a Second Round Survey and Institutional Assessment in HondurasAdoption

Arie SandersMaria Mercedes RocaMiljian Villalta

Alan B. BennettCecilia Chi-HamDenisse McLean

Jose Falck-ZepedaPatricia Zambrano

Sandra Mendoza. Participatory research consultant

Research funded by: