Straining the links between biofuel policies and food insecurity in developing countries

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STRAINING THE LINKS BETWEEN BIOFUEL POLICIES AND FOOD INSECURITY IN DEVELOPING COUNTRIES Wyatt Thompson and Ignacio Pérez Domínguez 17 th ICABR Conference, 19 th June 2013, Ravello (Italy)

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Straining the links between biofuel policies and food insecurity in developing countries. Wyatt Thompson and Ignacio Pérez Domínguez 17 th ICABR Conference, 19 th June 2013, Ravello (Italy). Introduction. Fuel versus food debate: - PowerPoint PPT Presentation

Transcript of Straining the links between biofuel policies and food insecurity in developing countries

Page 1: Straining the links between biofuel policies and food insecurity in developing  countries

STRAINING THE LINKS BETWEEN BIOFUEL POLICIES AND FOOD INSECURITY IN DEVELOPING COUNTRIES

Wyatt Thompson and Ignacio Pérez Domínguez

17th ICABR Conference, 19th June 2013, Ravello (Italy)

Page 2: Straining the links between biofuel policies and food insecurity in developing  countries

OECD Trade and Agriculture Directorate 2

Introduction

• Fuel versus food debate: – concern about the agricultural commodities used for biofuel

production causing food insecurity in developing countries– one-for-one as the extreme case

• Need for a more nuanced view:– Biofuel expansion not only driven by policies but also by price

increases of crude oil– Domestic and international markets have different links price

elasticities have a relevant effect• This paper tries to decompose the link between a biofuel

policy in a developed country (US) and food use in a group of developing countries (Africa and Asia least developed)

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OECD Trade and Agriculture Directorate 3

Steps from a biofuel demand shock in a DVD country to food use in DVG’s

Increase in US biofuel mandate (scenario shock)

Increase in US corn use for ethanol

Reduction in corn exports (US)

Reduction in corn imports (developing)

Reduction in corn use for food (developing)

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OECD Trade and Agriculture Directorate 4

Methods and Data: Aglink-Cosimo Model

• Partial equilibrium model: agriculture, fish/seafood and biofuels

• Co-developed by the OECD (Aglink) and the FAO (Cosimo)

• Net trade model for representative commodities, world coverage

• Model release linked to the yearly OECD-FAO publication on medium-term projections for agricultural markets (2013-2022 last week in Beijing)

• Data coming from experts (country questionnaires and FAO databases)

• Detailed biofuel module for the major producers: US, EU, Brazil (see next presentation)

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Baseline projections: coarse grain per capita food use (in 2022, kg/person/year)

• High consumption of coarse grains by African and Latin-American countries

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Baseline projections: veg. oils per capita food use (in 2022, kg/person/year)

• High consumption of vegetable oils by Asian and Latin-American countries

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Scenario: a higher fulfillment of the US Renewable Fuel Standard (RFS)

• What does this mean? – Higher mandated biofuel blending in the US– Lower than mandated cellulosic production

(waiver) mandate waived but not as low as in the baseline, 5 billion additional liters

• Implications– Greater demand for conventional biofuel feedstocks

in the US: maize for ethanol and vegetable oils for biodiesel

– More biofuel production– Higher feedstock prices and less exports from the

US – Small effects on developing countries

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Impacts on grain markets

Baseline Scenario Absolute change Percent change

USA biofuel use of coarse grain

150 mt 152 mt +2 mt +1.3%

USA coarse grain producer price

228.4 usd/t 229.7 usd/t +1.3 usd/t +0.6%

USA net coarse grain exports

61 mt 60 mt -1 mt -1.8%

Developing country net coarse grain imports

17.9 mt 17.8 mt -0.1 mt -0.5%

Developing country coarse grain food use

52.0 mt 52.0 mt 0.0 mt 0.0%

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Impacts on vegetable oil markets

Baseline Scenario Absolute change Percent change

USA biofuel use of vegetable oil 3.2 mt 3.4 mt +0.2 mt 7.4%USA vegetable oil producer price 1009 usd/t 1010 usd/t +1 mt 0.1%USA net vegetable oil exports 1.6 mt 1.5 mt -0.1 mt -4.0%Developing country net vegetable oil imports 7.2 mt 7.2 mt 0 -0.1%Developing country vegetable oil food use 11.8 mt 12 mt 0 0.0%

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How to identify the weakest link?

• Objective: trace the impacts from biofuel mandate to food use in developing country by identifying the transmission of impacts at each key step

• Method: push the shock further along in steps1) RFS increase only (already seen)2) #1 + shock on US demand for feedstocks for biofuel3) #2 + shock on US exports of feedstocks4) #3 + shock on developing country imports of feedstocks5) #4 + shock on developing country food use of feedstocks

• Intuition: go from estimated impact to automatic 1-for-1 substitution to see differences

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Example: steps for coarse grains

Step 1 Step 2 Step 3 Step 4 Step 5

Renewable Fuel Standard program

Increased by the amount of shock

Increased by the amount of shock

Increased by the amount of shock

Increased by the amount of shock

Increased by the amount of shock

USA biofuel coarse grain use

Rises in response to shock

Increased by the amount of shock

Increased by the amount of shock

Increased by the amount of shock

Increased by the amount of shock

USA coarse grain exports

Falls due to price effect

Falls due to price effect

Decreased by the amount of shock

Decreased by the amount of shock

Decreased by the amount of shock

Developing countries coarse grain net imports

Falls due to price effect

Falls due to price effect

Falls due to price effect

Decreased by the amount of shock

Decreased by the amount of shock

Developing countries coarse grain food use

Falls due to price effect

Falls due to price effect

Falls due to price effect

Falls due to price effect

Decreased by the amount of shock

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Coarse grain and vegetable oils used for biofuel in the USchange from baseline, million metric tonnes

Step 1:

RFS on

ly

Step 2:

+Biof

uel U

se

Step 3:

+Exp

orts

Step 4:

+DC im

ports

Step 5:

+DC fo

od0.0

0.5

1.0

1.5

2.0

2.5

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Coarse grain and vegetable oils production in the USchange from baseline, million metric tonnes

Step 1:

RFS on

ly

Step 2:

+Biof

uel U

se

Step 3:

+Exp

orts

Step 4:

+DC im

ports

Step 5:

+DC fo

od-0.4-0.3-0.2-0.10.00.10.20.30.40.5

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Coarse grain and vegetable oils exports from the USchange from baseline, million tonnes

Step 1:

RFS on

ly

Step 2:

+Biof

uel U

se

Step 3:

+Exp

orts

Step 4:

+DC im

ports

Step 5:

+DC fo

od-2.5

-2.0

-1.5

-1.0

-0.5

0.0

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Coarse grain and vegetable oils imports in least developed countrieschange from baseline, million tonnes

Step 1:

RFS on

ly

Step 2:

+Biof

uel U

se

Step 3:

+Exp

orts

Step 4:

+DC im

ports

Step 5:

+DC fo

od-2.5

-2.0

-1.5

-1.0

-0.5

0.0

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Coarse grain and vegetable oils food demand in least developed countrieschange from baseline, million tonnes

Step 1:

RFS on

ly

Step 2:

+Biof

uel U

se

Step 3:

+Exp

orts

Step 4:

+DC im

ports

Step 5:

+DC fo

od-2.5

-2.0

-1.5

-1.0

-0.5

0.0

0.5

Coarse grain Vegetable oil

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Step 1

Step 2

Step 3

Step 4

Step 5

-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1

0.00

0.00

-0.01

-0.12

-1.00

0.02

0.02

0.02

-0.03

-1.00

Vegetable oil Coarse grain

Ratio : developing country food use impact / divided by intitial shock in feedstock equivalent

Demonstrates: weakness of links after each stage

Cases :Ratio = 0 no net effectRatio = -1 a one-for-one trade offRatio > 0 cross-commodity effects play a role

Impact ratios

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Conclusions

• The scenarios reveal how expectations of agricultural economists differ from the implicit assumption underlying popular beliefs the impact of a relatively large shock on biofuel demand for coarse grains and vegetable oils by a major producer, such as the US, on food demand in least developed countries is found to be very small.

• The impacts are mostly dampened through substitution in trade and domestic markets.

• Negative calorie consumption effects in developing countries are present once the shock reaches the importing sector of biofuel feedstock commodities.

• Further research needed to expand the exercise to other major biofuel producers and perform sensitivity analysis

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Discussion

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