South African
Avocado Growers’ Association Yearbook 1987. 10:85-88
The relationship between producer price and cost of
the Spanish
avocado as a parameter to forecast future supplies
J CALATRAVA, J GARCIA, L DELGADO and E
ALCALA-ZAMORA
Departamento de Economía y Sociología
Agrarias,
Dirección General de Investigación y
Extensión Agraria
Apdo 240 14080 Córdoba
SYNOPSIS
This paper studies the
profitability of avocado plantations on the basis of the analysis of the
behaviour of the internal profitability rate (IPR) upon application of various
price evolution assumptions. The results obtained will enable a forecast to be
made by the end of this decade of the stabilisation of the avocado-planted area
on the Spanish Mediterranean coast at about 6 000 ha.
INTRODUCTION
The decision to introduce new areas planted in long-life producing
pluri-annual cultures is often dictated by personal judgment rather than by a
rational analysis of the investment involved and has potentially long-term
consequences. The intuitively expected
profitability, ie the subjective profitability driving the decision-making
individual is rather different in these cases from what could be termed the real profitability, ie that estimated
from scientifically-analysed expectations.
The difference between intuitive profitability and that obtained
analytically shows particularly clearly whenever the economic activity
resulting from the decision is in a developing stage and the market for the
product concerned is undergoing a structural change marked by abrupt
alterations in supply and demand in search for a new equilibrium characterising
the new commercial situation which the process tends to adopt. Such is the case
with regard to avocados produced on the Andalusian Mediterranean coast. These
have traditionally provided the producer with good profits arising from their
favourable price; yet, such profits seem to be on an abrupt decline, which is
logical taking into account the shift of the equilibrium position of the
market, added to the increase in production and marketing costs - especially
with regard to the provision of labour and power - over the last decade.
The very nature of avocado plantations as medium-term investments, as
well as the current trends in this market, calls for analytical reflection on
the predictable profitability of such investments in order to provide farmers
with a realistic forecast of the expected financial returns on their decisions
regarding the plantation, whether a new one or an extension of an existing
avocado plantation.
These analytical reflections are the subject of this paper, which
contains a detailed cost structure for different types of avocado plantations
with price indices for the various cost components, to analyse the evolution of
the profitability rate of a generic ha of avocados, planted annually between
1970 and 1990. A series of conclusions are drawn on the basis of different
hypothesised behaviours of input and output prices.
As in every predictive model, the feasibility of the starting
assumptions is the key element to ensure the accuracy of the conclusions
arrived at. Thus, this paper deals with the degree of realism of the hypotheses
postulated, which is always relative whenever medium-to-long-term situations
are involved. Only the most relevant aspects of the results obtained are
commented on here, although a comprehensive analysis will be made in future
papers.
MATERIAL AND METHODS
The starting material consisted of four cost structures corresponding to
different real situations of avocado plantations based on the Andalusian
Mediterranean coast. These were analysed for their input prices and their
evolution monitored over the period 1970-1986. The four structures corresponded
to:
(a)
Canal routed water:
flat lands. Installation costs were roughly the same as plantation costs.
(b)
Farmer-owned
well water: farms located on slopes and requiring land terracing; gravity
irrigation.
(c)
Well or canal
water stored in a pond for development of drip irrigation; farms on gentle
slopes requiring no earth turnover.
(d)
Well water
pumped to a communal store; gravity-irrigated farms located on slopes; drip
irrigation; piezometric head, 600m (cooperative handling of a shared irrigation
system).
By way of example, Table 1 lists the components of the cost structure of
the four situations considered for 1986. Such structures respond to the use of
current technology for obtaining an average crop of 12 000 kg/ ha at full-scale
production.
The extrapolation of the input prices beyond 1986 was carried out by
analysing the evolution of the price indices of the different cost components,
with certain constraints. Thus, from the trend derived by regression of the
growth rate, the following hypotheses have been formulated:
(1)
A constant annual
increase after 1986 equal to the mean of the forecast for the first three years
(1987-89) obtained by applying the least-squares model was assumed. This
resulted in an annual growth rate of 7,566 per cent1.
(2)
The regression
model predictions were applied at τ^ > 5 per cent and τ
= const = 5 per cent for τ^ < 5 per cent.
(3)
The
predictions were also applied at τ^ > 2 per cent and τ
= const = 2 per cent for τ^ < 2 per cent.
|
TABLE 1 Summary of the
structure of plantation and cultivation costs (in pts) per ha (1986). |
||||
|
|
|
|
|
|
|
|
Canal routed water |
Pumped well water |
Farmer-owned water |
Repumped water |
|
|
Gravity irrigation |
Gravity irrigation (terraces) |
Drip irrigation (non-terraced slopes) |
Drip irrigation |
|
Plantation |
|
|
|
|
|
Preparation |
69 030 |
2 547 500 |
1 380 100 |
5 870 000 |
|
Raw materials |
129 550 |
130 950 |
162 350 |
166 200 |
|
Plantation |
210 000 |
210 000 |
210 000 |
210 000 |
|
Labour |
119 000 |
119 000 |
119 000 |
68 000 |
|
Total |
527 580 |
3 007 450 |
1 871 450 |
6 314 200 |
|
Cultivation (Full-scale production) |
|
|
|
|
|
Raw materials |
|
|
|
|
|
(water included) |
165 647 |
199 601 |
214 492 |
211 470 |
|
Labour |
324 000 |
324 000 |
205 800 |
271 000 |
|
Total |
489 647 |
503 601 |
420 292 |
562 470 |
|
Annual
cultivation cost |
|
|
|
|
|
(pts/kg) |
|
|
|
|
|
at full-scale production |
40,80 |
41,96 |
35,02 |
46,89 |
|
(12000 kg) |
|
|
|
|
All three hypotheses applied were based on a decreasing inflation
prediction as the cost growth rates were actually much higher than those
assumed in the three cases. The expected incomes were estimated from the high
growth and production hypothesis used by Calatrava (1981) for supply forecasts,
the accuracy of the estimations as a valid mean being confirmed for the period
1981-1986.
Regarding input prices following 1986, the following hypotheses were
formulated2:
(A)
The annual
price increase, ΔP, was assumed to be 5 per cent for τ^ >
5 and equal to τ for
τ^ < 5.
(B)
Such an
increase was assumed to be 2 per cent for τ^ > 2 and equal to τ for
τ^ <2.
(C)
The price, in
current pts, was assumed to keep constant. This would be equivalent to a
continuation of the trend shown in the last few years. This was thus a rather
pessimistic, unlikely hypothesis.
Just as the
hypothesis regarding the predicted evolution of production costs was based on
historical series of growth rates and on the assumption of future inflation
rates below previous ones, the hypotheses concerning the evolution of income
were based on the following facts, assumed to be very likely:
·
The average
price in current pts has remained constant throughout the past few years.
·
No large price
increases in the future would occur, unless the European market absorbed the
supply of producing countries on the sole basis of the effect of publicity on
demand, which would be rather unlikely, as it would involve annual shifts in
the demand curve of the European market to the order of + 17 per cent, with
respect to the quantities consumed at a constant price up to 1990 (Calatrava,
1984).
·
Should the
aforesaid publicity effect influence the demand, the current price of avocado
would rise at most, to be parallel to inflation.
·
For the same
reason, price increases should never exceed the assumed cost increases.
·
Even though
the growing demand tends to push prices up, the decreasing effect of the strong
supply generation would counteract the former effect to a great extent.
Because of the logical correlation one would expect between price and
cost increases and inflation rates, some of the combinations resulting from the
price and cost increases are rather unlikely.
After consultation with three experts and contrasting of their replies
with the authors' own criteria, the following mean subjective probabilities for
the occurrence of the different events were obtained, assuming the probability
function of future events to be completed by the hypotheses formulated:
|
Cost hypotheses probability |
Income hypotheses |
Subjective occurrence |
|
I |
A |
0,125 |
|
I |
B |
0,075 |
|
I |
C |
Unlikely |
|
II |
A |
0,200 |
|
II |
B |
0,200 |
|
II |
C |
0,050 |
|
III |
A |
0,125 |
|
III |
B |
0,150 |
|
III |
C |
0,075 |
The subjective probabilities listed above were only used to make some
considerations about the analysis and were always applied with the
corresponding reservations.
This information framework was used to obtain the various profitability
measurements for hypothetical 1 ha avocado plantations set up during the
different years from 1970 to 1990 in each of the four situations considered and
for each of the possible combinations of income and expenditure growth
hypotheses. Only the results connected with the internal profitability rate (IPR) are discussed here.
In every case there is a gradual decrease in the IPR. By assuming the
minimum acceptable IPR to be 12 per cent:
·
Only
hypotheses IA, IIA and IIIB would make the planting of avocados between 1987
and 1990 profitable in the case of communal, canal routed water (a).
·
Only
hypotheses IA, IIA and IIIA advise for planting between 1987 and 1990 and
hypothesis IA in 1990, in the case of farmer-owned water and drip irrigation
(b).
·
Only
hypothesis IIA makes it profitable to plant in 1987 or 1988 in the case of
motor-driven drip-irrigation (c).
·
No hypothesis
advises for planting in the case of repumped water (d).
Thus, the most favourable situation is represented by hypothesis IIA,
the evolution of which can be seen in Figure 1, together with the evolution of
the E(IPR), namely the expected profitability obtained from the subjective
probability function for the four hypothetical plantations considered.

On the grounds of the profitability rates of the plantations set up in
1980 and 1981 and of the high inflation rate of these years, the IPR is very
interesting in the case of communal, canal-routed water and of farmer-owned
water with drip-irrigation; motor-driven, drip-irrigated plantations are just
within the profitability limit and repumped water-irrigated plantations are
unprofitable.
Is there an explanation for the fact that the aforesaid years saw the
greatest plantation growth on the coast (an average 50 ha per month) in all the
cases considered, the increase having not ceased to diminish ever since
(Calatrava, 1983 and 1984) and having attained much lower values in the last
few months? The only plausible explanation in the opinion of the authors, is
that the 1980-81 season was one of particularly high prices for avocados as a
result of the export demand generated by the circumstantial decline of the Israeli
supply, as well as in the fact that the earliest plantations were hardly
producing full-scale and provided low or even unrealistic yields that were
erroneously generalised and taken as a basis for decision making, and in more
subjective elements such as imitation, mimetism, etc which had a part in the
phenomenon (Calatrava, 1983b).
Why do plantations show a declining trend? Obviously because of the
gradual balancing of the subjective profitability rate and the real rate as the
individual involved gathers information, knowledge and experience and the
earliest plantations reach full-scale production, thus providing realistic
results.
In Table 2 the evolution of plantations at dates when information was
available is illustrated. From the data in this Table and, assuming the
subjective profitabillity to be relatively close to the real expected
profitability, the cultivated avocado area will be 5 123 ha and the mean growth
rate will be 12 ha/month by 19903. By
considering a rate of 2 per cent as indicative of area stabilisation, the
cultivated area will stabilise during 1992 and 1993 at around 5 500 ha for the
two provinces considered. Taking into account the scarce contribution of other
Mediterranean provinces such as Valencia, Alicante, Murcoa and Almeroa to the
overall Spanish avocado-cultivated area, this can be assumed to stabilise at
about 6 000 ha, consistent with Calatrava's predictions (Calatrava, 1983a).
Above this figure, plantation growth will be rather limited.
The supply of the Spanish Mediterranean coast by the end of the century
will be between 60 000 and 80 000 tonnes. If the avocado-cultivated area of the
Canaries stabilises at 1 500 ha (Calatrava, 1983a), then the mean annual
Spanish supply will be about 75 000-95 000 tonnes (100 000 at the most).
All the conclusions above rely on the assumption that the evolution of
prices and costs will fit some of the cases considered or a combination of
them.
Some alternatives to avocado should be given due consideration. One such
alternative is cherimoyas, less troublesome market-wise, and feasible to grow
in zones where they can be properly pollinised. Another alternative fruit is
the mango, recently introduced in areas with coastal micro-climates. Feijoas
and litchis, exploited to a much lesser extent, medlars and even some citrus
fruits and very early deciduous fruit trees will all undoubtedly have
profitability rates similar to those of avocado and should be gradually
introduced in those situations where avocado has lost or is about to lose its
past profitability level.
|
TABLE 2 Evolution of
avocado-cultivated surface on the Granada and Malaga coast1 |
||||
|
|
|
|
|
|
|
Date |
Source |
Estimated area (ha) |
Mean monthly rate of surface growth (in
ha) |
Per cent annual increase |
|
|
|
|
|
|
|
1977 |
DGPA flight |
425,7 |
10,77 |
30,37 |
|
|
|
|
|
|
|
|
|
|
|
|
|
1978 |
SEA census |
555 |
47,15 |
101,94 |
|
(± 1 year |
|
(Equavalent to |
|
|
|
after DGPA |
|
No of |
|
|
|
flight) |
|
trees censused |
|
|
|
|
|
by SEA) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
April |
INIA Project |
2 111 |
44,00 |
54,72 |
|
1981 |
3297 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
March |
INIA Project |
3 170 |
32,40 |
12,26 |
|
1983 |
3297 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
January |
INIA Project |
3 494 |
24,90 |
8,57 |
|
1984 |
3297 |
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