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AAMP Training Materials

AAMP Training Materials. Nicholas Minot ( IFPRI ) n.minot@cgiar.org. Module 3.4: Price Stabilization. Objectives. Understand definition & measures of price instability Identify sources of price instability Use Excel to simulate price instability

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AAMP Training Materials

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  1. AAMP Training Materials Nicholas Minot (IFPRI) n.minot@cgiar.org Module 3.4: Price Stabilization

  2. Objectives • Understand definition & measures of price instability • Identify sources of price instability • Use Excel to simulate price instability • Examine the relationship between price instability and income instability • Evaluate the effect of trade on food price stability • Discuss the role of buffer stocks in stabilizing food prices

  3. What is food price instability? • Food prices in Africa are not constant over time • A great deal of variation is present which can impact incomes • This variation is called food price instability

  4. Measuring Food price instability • Measuring food price instability using CV • Coefficient of variation (CV) = standard deviation / average • Adjusted coefficient of variation = CV with correction to remove effect of the time trend • Calculating CV in Excel • = stdev(range) / average(range) • Example: = stdev(b3:b40) / average(b3:b40) • Simulating a random variable in Excel • =norminv(rand(), mean, stdev)) • Example to generate a random variable with mean = 200 and CV = 20%, standard deviation will be 40 so • = norminv(rand(), 200, 40))

  5. Random variable CV examples CV = 10% CV = 20% CV = 30% CV = 40%

  6. Generating random variables - Excercise • Open [Ex1 - CV of Random Variables] • Examine the formula for the column of numbers • What does $C$3 mean? • Press F9 to recalculate several times • Why do the numbers and the graph change? • Change standard deviation to 40, then 60 • What happens to the graph? • Change standard deviation to 10, then 5 • What happens to the graph? • Look at column G and recalculate several times • Why are “actual” average and std deviations different than column C?

  7. Magnitude of maize price instability By comparison, for six Asian countries, the CV for rice prices ranged from 12% in Bangladesh to 25% in the Philippines.

  8. Price Stabilization – Model • Examine [Ex2 – Stabilization] of the Excel workbook • This model will be used in several exercises • The yellow boxes contain parameters that can be changed to simulate markets for different commodities and countries • General Assumptions – Sets characteristics of the domestic market • Trade assumptions – Sets characteristics of international trade and policy assumptions • Buffer stock assumptions – Sets buffer stock policy and cost assumptions • More…

  9. Price Stabilization – Model • The boxes highlighted in light green contain the outcome of the assumptions made in the yellow boxes • Average and CV of several variables of interest • Graph 1 shows prices with and without international trade • Graph 2 shows prices with and without a buffer stock • Examine [Data – Stabilization] • Shows how the outputs are calculated based on the inputs

  10. Causes of food price instability • Variation in domestic commodity supply • Particularly commodities that are not widely traded e.g. bananas & root crops • Seasonality in prices • Differences in harvest size • Variation in world price of commodity • Particularly commodities imported from world markets (e.g. rice & wheat) or exported to world markets (e.g. coffee) • Maize is more tradable than cassava but less than rice & wheat • Large effect in 2007-08 but generally little effect • Only 13 of 62 food prices in Africa showed significant link to world prices

  11. Causes of food price instability Price Price • Many staple foods have inelastic supply & demand (meaning they are not responsive to changes in price) • In this case, small changes in supply (size of harvest) can have large impact on prices Changes in size of harvest Changes in size of harvest Changes in price Changes in price Quantity Quantity Elastic supply & demand Inelastic supply & demand

  12. Causes of food price instability • Food policy • Trade policy • Buffer stocks • Variation in demand (e.g. holidays) • Changes in closely related markets • Markets in neighboring countries • Markets for substitute commodities (maize & cassava) • Speculative bubbles

  13. Supply and price instability – Exercises • Open [Ex2 – Stabilization] • Examine variation in domestic supply of a commodity • Increase CV of production • Decrease CV of production • How does it affect CV of prices? • Price elasticity of demand • Set price elasticity of demand at -0.3, -0.5, and -1.0 • How does elasticity affect food price instability? • Why does inelastic demand make food prices more volatile? • What factors determine whether demand is elastic or inelastic?

  14. Trade and price instability • Trade sets a natural “price band” within which market prices must stay • But band may be very wide if distance and transport costs are high • Taxes on imports and exports make the price band wider • Import parity price sets the upper limit of price band • Definition: Cost of imported product including transport and taxes • Export parity price sets the lower limit of price band • Definition: World price of an exported good minus cost of taxes and transportation from a certain location to world markets

  15. Trade and price instability – Exercise • Open [Ex 2 – Stabilization] • There are 2 ways to compare with and without trade • Compare the first and second section of the green-shaded table • Compare the red (no trade) and green line (with trade) in figure 1 • Change transfer cost to/from world market from $150 to $175 • What are the maximum/minimum prices with and without trade? • What is the CV of price with and without trade? • Add 30% import tax and 30% export tax • What are the maximum/minimum price with/without trade? • What is the CV of price with/without trade?

  16. Food price stabilization in theory • Idea of a buffer stock • Buy when price is low (bumper harvest) • Sell when price is high (drought year) • Effect is to raise the price when low, lower price when high • Price band policy • Set ceiling price and floor price • Buffer stock willing and able to sell “unlimited” quantities at ceiling price • Buffer stock willing and able to buy unlimited quantities at floor price • Effect is to keep price between ceiling and floor price

  17. Food price stabilization in practice • Public food reserves are typically managed by state-owned enterprise • Reserves in main staple cereal and 1 – 2 other grains • Root crops and cooking bananas generally not included because of perishability • Food reserves use different types of interventions • Not just buying and selling, but import and export policy, government imports and exports, regulations of grain marketing etc. • Food reserves do not use consistent buy/sell rules • Intervention depends on budget resources, politics, etc.

  18. Buffer stock and price instability – Model • The model calculates • Quantity that has to be bought and sold each year to keep price inside the price band • Quantity in storage (initial stock – all sales + all purchases) • Trading costs = cost of buying or selling stock (revenue is negative) • Storage cost = quantity in storage x cost per ton (initially $50/ton) • Transport cost = cost of moving commodity to/from warehouses • Interest cost = opportunity cost of money used to buy stock • Total annual cost • More…

  19. Buffer stock and price instability – Model • Cumulative cost over the simulation (negative = revenue) • Balance left over = Original budget minus accumulated net costs • Probability of exhausting funds • Probability of exhausting stock • Probability of exceeding storage capacity • Numbers will vary for each recalculation

  20. Price instability and income instability • Only affects households if it causes variation in income and consumption Food price instability Real income (purchasing power) Consumption REDUCED WELFARE Level of income, degree of risk aversion Importance of commodity in consumption or as source of income, level of diversification Ability to smooth consumption with savings, credit, sale of assets, etc.

  21. Price stability and income stability – Exercise • Set price elasticity of demand to -1.0 • What is the CV of gross farm revenue without price stabilization? • Why is it so low? • Set buffer stock price band at 350 and 300 • What is the CV of gross farm revenue with price stabilization? • Why is gross farm revenue more unstable with price stabilization? • Set price elasticity of demand to -0.5 • Compare CV of gross farm revenue with and without stabilization • Why are the results different?

  22. Price stability and income stability – Explanation For farmers, price stabilization may actually destabilizeincome Without Price Stabilization With Price Stabilization p p In a bad year, high price offsets low output. In a good year, there is a low price, but high output Fig. 1 Fig. 2 Variation in output not offset by changes in price = more income instability q q

  23. Effect of price band width – Exercise • Open [Ex 2 – Stabilization] • Change from wide price band to narrow price band • Lower limit of band is buying price, upper limit is selling price Compare price band from 275 – 500 to 300 – 400 • What is the CV of price before and after? • What is the frequency of purchase and sale before and after? • How does average annual cost change? • What is the probability of running out of funds over 10 years? • What is the probability of running out of stocks over 10 years? • What is the probability of exceeding storage capacity over 10 years?

  24. Effect of price band width – Explanation • Wide band implies • Less price stabilization • Less frequent intervention • Lower cost • Narrow band implies • More price stabilization • More frequent intervention • Higher cost

  25. Effect of level of the price band – Exercise • Open [Ex 2 – Stabilization] • Change the price band to 350 – 500 • What is the CV of price? • What is the frequency of purchase and sale before and after? • What is the probability of running out of funds over 10 years? • What is the probability of running out of stocks over 10 years? • What is the probability of exceeding storage capacity over 10 years • Change the price band to 250 – 400 • What is the CV of price? • What is the frequency of purchase and sale before and after? • What is the probability of running out of funds over 10 years? • What is the probability of running out of stocks over 10 years? • What is the probability of exceeding storage capacity over 10 years?

  26. Buffer stock • If mid-point is too high: • Buying more than selling • Accumulation of stocks • Eventually exhaust funding or storage capacity • If mid-point is too low: • Selling more than buying • Depletion of stocks • Eventually exhaust stocks • One option: Set mid-point at average of last 3 years

  27. Conclusions • Price stabilization is expensive • Large procurement costs (US$ 80M in Kenya, 2006) • Storage, handling and overhead • State enterprises can’t cover costs with stabilization efforts • Aggregate benefits are small • Most estimates 0 – 4% of farm income • Benefits of price stabilization not pro-poor • Most benefits go to larger commercial farmers and urban poor • Food price stabilization prone to “rent-seeking” • Open borders provide no-cost “price band” • Impeding imports has exacerbated price spike in several cases

  28. Conclusions • Improve consistency and predictability in govt. actions • Promote private grain storage and imports • Credit, non-intervention and storage rental • Promote consumption of secondary staple crops • Cassava can act as a shock absorber for grain markets • Rationale for 3 month grain reserve • To cover period until commercial imports can be arranged • If price stabilization politically necessary • Adopt a rule-based price band • Adopt wide and market-based price band

  29. References Jayne, T.S., Ballard Zulu, and J.J. Nijhoff. 2006. Stabilizing food markets in eastern and southern Africa. Food Policy 31, no. 4: 13. Minot, N. 2010. Food price stabilization: Lessons for eastern and southern Africa.” Prepared for the policy seminar on “Agricultural Risks Management in Africa: Taking Stock of What Has and Hasn’t Worked“,September 6-10, 2010, Lilongwe, Malawi. http://www.aec.msu.edu/fs2/aamp/sept_2010/aamp_lilongwe-minot-food_price_stabilization.pdf Rashid, S., R. Cummings, and A. Gulati. 2005. “Grain marketing parastatals in Asia: Why do they have to change now?” Discussion Paper No. 80. Markets, Trade, and Institutions Division. International Food Policy Research Institute. Washington, DC. http://www.ifpri.org/publication/grain-marketing-parastatals-asia World Bank. 2006. Managing Food Price Risks and Instability in an Environment of Market Liberalization. Agriculture and Rural Development Department. Washington, DC. http://siteresources.worldbank.org/INTARD/Resources/ManagingFoodPriceRisks.pdf

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