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The Future of Smallholder Farming in Eastern Africa - Uganda ...

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5.2. Determ<strong>in</strong>ants <strong>of</strong> gra<strong>in</strong> prices<br />

In the previous discussion, an attempt was made to <strong>in</strong>dicate the nature <strong>of</strong> gra<strong>in</strong> markets and<br />

the behavior <strong>of</strong> gra<strong>in</strong> prices. Understand<strong>in</strong>g the behavior <strong>of</strong> daily market gra<strong>in</strong> prices requires<br />

a critical <strong>in</strong>vestigation <strong>of</strong> the determ<strong>in</strong>ants <strong>of</strong> these prices.<br />

First, it is important to know how brokers set their sell<strong>in</strong>g price at the central market. <strong>The</strong><br />

survey results show that about 69 percent <strong>of</strong> brokers used the price <strong>of</strong> the previous day <strong>in</strong><br />

sett<strong>in</strong>g the current price for gra<strong>in</strong> (Annex Table 2.12). Most brokers (78 percent) also take<br />

<strong>in</strong>to account the prices <strong>of</strong> other brokers <strong>in</strong> sett<strong>in</strong>g their current sales prices (Annex Table<br />

2.21).<br />

Another important factor is related to supply and demand conditions. Brokers undertake<br />

personal evaluation <strong>of</strong> total arrivals before the market opens at 6 a.m. Reports <strong>of</strong> arrivals<br />

from clients and records <strong>of</strong> trucks at the entry gate are also used <strong>in</strong> assess<strong>in</strong>g the magnitude <strong>of</strong><br />

supply to the central market (Annex Table 2.15). On the demand side, brokers use, among<br />

other th<strong>in</strong>gs, reports <strong>of</strong> regular buyers, personal observations <strong>of</strong> total buyers <strong>in</strong> the market,<br />

specific dates <strong>of</strong> the month (e.g., pay period), holiday seasons, and entry or presence <strong>of</strong> large<br />

buyers <strong>in</strong> the market (Annex Table 2.17). Most brokers do not <strong>in</strong>cur f<strong>in</strong>ancial costs <strong>in</strong> gett<strong>in</strong>g<br />

<strong>in</strong>formation about demand, supply, and price levels <strong>in</strong> the market. <strong>The</strong> only <strong>in</strong>vestment they<br />

need is a bit <strong>of</strong> their time and personal effort, although the quality <strong>of</strong> <strong>in</strong>formation they collect<br />

is likely to be low.<br />

<strong>The</strong> ability <strong>of</strong> any market to function efficiently with respect to pric<strong>in</strong>g depends <strong>in</strong> large part<br />

on the <strong>in</strong>formation available to market agents. Price determ<strong>in</strong>ation requires <strong>in</strong>formation on<br />

daily demand, supply, quality <strong>of</strong> gra<strong>in</strong>, previous stocks, and policy and related variables (such<br />

as time <strong>of</strong> government <strong>in</strong>tervention). Government <strong>in</strong>tervention <strong>in</strong> the gra<strong>in</strong> market drives up<br />

gra<strong>in</strong> prices. It has been documented that changes <strong>in</strong> daily price variability are crucially<br />

related to daily supply (which consists <strong>of</strong> new daily supply and the previous day’s stocks),<br />

daily demand, extent <strong>of</strong> competition, and other factors.<br />

In order to exam<strong>in</strong>e the competitive behavior <strong>of</strong> a market <strong>in</strong> a differentiated market structure,<br />

we used a hedonic model, which is a popular framework <strong>in</strong> gra<strong>in</strong> market<strong>in</strong>g. <strong>The</strong> model<br />

specifies that price is a function <strong>of</strong> both supply and demand. <strong>The</strong> marg<strong>in</strong>al implicit price <strong>of</strong> a<br />

characteristic is determ<strong>in</strong>ed by differentiat<strong>in</strong>g the hedonic with respect to that characteristic,<br />

imply<strong>in</strong>g an empirical specification <strong>of</strong> the hedonic model <strong>of</strong> the form:<br />

P<br />

t<br />

= f ( p<br />

1,<br />

p , Dp,<br />

Dh)<br />

t −<br />

d<br />

…………………………………………………………….. (5.6)<br />

where Pt is the wholesale price <strong>of</strong> a given crop type on any given market day, Pt-1 is the<br />

clos<strong>in</strong>g price <strong>of</strong> the previous day, Pd is the average open<strong>in</strong>g price (price registered at 6:00<br />

a.m.), Dp is the dummy for the date <strong>of</strong> the month (1 if the date co<strong>in</strong>cides with pay period and<br />

0 otherwise), and Dh is the dummy for a holiday (1 if a major holiday is approach<strong>in</strong>g and 0<br />

otherwise). <strong>The</strong> dummies are <strong>in</strong>terpreted as differences from the price <strong>of</strong> the pay period and

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