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LRP and Market Prices: A Multi-Country Analysis LRP and Market Prices: A Multi-Country Analysis

LRP and Market Prices: A Multi-Country Analysis - PowerPoint Presentation

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LRP and Market Prices: A Multi-Country Analysis - PPT Presentation

Teevrat Garg Christopher B Barrett Miguel I Gómez Erin C Lentz William Violette Cornell University FAO ISNSymposium January 2012 Motivation for Framework Local procurement is a demand stimulus that could put upward pressures on local prices and price volatility ID: 649568

procurement markets price distribution markets procurement distribution price maize prices beans country millet motivation lrp results key volatility burkina

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Slide1

LRP and Market Prices:

A Multi-Country Analysis

Teevrat Garg

Christopher

B.

Barrett

Miguel I.

Gómez

Erin C. Lentz

William

Violette

Cornell

University

FAO ISN-Symposium

January, 2012Slide2

Motivation for FrameworkLocal procurement is a demand stimulus that could put upward pressures on local prices and price volatility.

Local distribution is a supply stimulus that could place downward pressures on local prices and fuel price volatility.

USDA requires LRP to meet the “do no harm” condition, that is, LRP should not substantially drive up retail prices.

Simple monitoring of prices cannot control for confounding factors, including WFP procurements, climate fluctuations, inflation, seasonal variation, changing transport costs, etc.

Why Study Price

Effects?

MotivationSlide3

Motivation for FrameworkProcurement

Motivation

Price

Quantity

P*

Q*

Exogenous Demand Shift from Procurement

D

S

Prices Rise

D’Slide4

Motivation for FrameworkDistribution

Motivation

Price

Quantity

P*

Q*

Exogenous Supply Shift from Distribution

Prices fall

D

S

S’Slide5

Motivation for FrameworkRetail prices only (wholesale for Kenya).

Scope of the Study

Motivation

Table 1: Types of LRP Projects By Country and Commodity

Country

Procurement

Distribution

Voucher

Burkina Faso

Millet

Millet, Cowpeas

Guatemala

Beans, Incaparina, White Maize

Kenya

Beans, Maize

Beans, Maize

Kyrgyzstan

Wheat (Cash)

Niger

Maize, Millet

Maize, Cowpeas

Uganda

Maize Flour, Maize Grain, Dried Beans, Sorghum

Zambia

Maize Meal, Beans

Maize Meal, BeansSlide6

6

Identification Strategy

Identification Strategy

Price Level Impacts:

Price Volatility Impacts:

X = Full Set of Controls (WFP included)

c: commodity

s: price type (transmission channel)

i

: region

t

: time periodSlide7

7

Key Results: Procurement(Price

Levels)

Country

Maize

Beans

Millet

Burkina Faso

1.386

(3.814)

In Procurement

0.760

Markets

(7.088)

In Non-Procurement

1.525

Markets

(4.620)

Guatemala

-3.473

0.536

(6.097)

(1.245)

In Procurement

-4.261

5.592

Markets

(3.982)

(4.430)

In Non-Procurement

-3.389

-0.178

Markets

(6.948)

(1.277)

Kenya

11.68***

2.892

(3.005)

(3.113)

In Procurement

10.99*

-1.236

Markets

(6.451)

(7.112)

In Non-Procurement

11.84***

4.088

Markets

(3.484)

(3.577)

Niger

2.123

-1.285

(1.625)

(1.355)

In Procurement

5.958

-0.883

Markets

(14.90)

(2.969)

In Non-Procurement

2.091

-2.284

Markets

(1.622)

(1.543)

Zambia

-3.860

-1.078

(6.484)

(2.859)

In Procurement

-3.187

10.03

Markets

(12.22)

(7.003)In Non-Procurement-3.905-1.259Markets(7.607)(2.926)Slide8

8

Key Results: Procurement(Price Volatility)

Country

Maize

Beans

Millet

Burkina Faso

-1.185

(2.670)

In Procurement

-1.990

Markets

(4.452)

In Non-Procurement

-0.626

Markets

(3.337)

Guatemala

3.318

-1.077

(5.584)

(0.806)

In Procurement

2.989

-1.803

Markets

(2.497)

(2.888)

In Non-Procurement

3.190

-0.745

Markets

(6.369)

(0.822)

Kenya

-0.670

-0.690

(1.904)

(2.028)

In Procurement

-2.440

0.346

Markets

(3.003)

(4.107)

In Non-Procurement

-0.574

0.204

Markets

(2.243)

(2.369)

Niger

0.505

-1.161

(1.862)

(0.872)

In Procurement

-3.683

-1.428

Markets

(11.07)

(1.656)

In Non-Procurement

1.066

-0.927

Markets

(3.235)

(0.978)

Zambia

-6.139

0.533

(4.138)

(1.938)

In Procurement

-6.699

-4.115

Markets

(6.533)

(3.930)

In Non-Procurement-6.7110.495Markets

(4.761)(1.982)Slide9

9

Key Results: Distribution(Price

Levels)

Country

Millet/Maize

Dried Beans

Cowpeas

Burkina

Faso (Millet,

not Maize)

-3.055

10.32

(4.553)

(11.03)

In Distribution

-5.429

-

Markets

(11.80)

In Non-Distribution

-2.298

11.31

Markets

(5.033)

(9.486)

Niger

1.755

-14.97*

(1.707)

(8.904)

In Distribution

-

-

Markets

In Non-Distribution

1.736

-10.21

Markets

(1.738)

(8.172)

Zambia

-9.734

3.841

(6.628)

(4.162)

In Distribution

-

-6.875

Markets

(28.69)

In Non-Distribution

-

4.261

Markets

(4.216)Slide10

10

Key Results: Distribution(Price Volatility)

Country

Millet/Maize

Dried Beans

Cowpeas

Burkina

Faso (Millet, not Maize)

9.800***

0.932

(3.299)

(7.184)

In Distribution

11.34

Markets

(7.187)

In Non-Distribution

8.775**

1.849

Markets

(3.848)

(5.657)

Niger

3.854***

36.06**

(1.204)

(15.24)

In Distribution

-

Markets

In Non-Distribution

3.859***

22.73

Markets

(1.228)

(16.66)

Zambia

-4.020

2.470

(4.102)

(2.817)

In Distribution

-

-4.865

Markets

(14.53)

In Non-Distribution

-

2.309

Markets

(2.860)Slide11

11

Key Results: Cash and Vouchers(Price

Levels)

Country

Maize Grain

Sorghum

Wheat

Kyrgyzstan

6.528***

(1.908)

In Procurement

-

Markets

In Non-Procurement

6.004***

Markets

(2.095)

Uganda

-3.666

-2.941

(11.38)

(12.96)

In Procurement

-

-

Markets

In Non-Procurement

-2.238

-5.987

Markets

(14.10)

(16.35)Slide12

12

Country

Maize Grain

Sorghum

Wheat

Kyrgyzstan

0.622

(1.204)

In Procurement

-

Markets

In Non-Procurement

0.716

Markets

(1.314)

Uganda

-3.434

-5.310

(7.518)

(7.792)

In Procurement

-

-

Markets

In Non-Procurement

-3.474

-3.055

Markets

(8.562)

(10.89)

Key Results: Cash and Vouchers(Price

Volatility)Slide13

13

Limitations

Not strictly causal estimates due to potential for omitted relevant variables (e.g., government policies).

Unable to control for GE effects (typical for this literature)

Potential endogeneity of prices and LRP (timing and quantity).

Good News: Practitioners control this mechanism!

ConclusionSlide14

14

For most commodities and countries, there is no economically or statistically significant

correlation of LRP and prices

In a very small number of instances, procurement is correlated with upward price pressures, consistent with economic theory.

The possibility of significant induced price effects underscores the importance of market monitoring. 

The relative infrequency of such effects suggests that LRP can be undertaken effectively when well designed and monitored.

Distribution may be more of a concern when it comes to price impacts.

Conclusion

Policy ImplicationsSlide15

15

Teevrat Garg

Charles H. Dyson School of

Applied Economics and Management

Cornell University

tg236@cornell.edu

Contact Information

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