Universidad Nacional de Chimborazo
NOVASINERGIA, 2020, Vol. 3, No. 2, junio-noviembre (108-123)
ISSN: 2631-2654
https://doi.org/10.37135/ns.01.06.09
Research Article
http://novasinergia.unach.edu.ec
Family milk production systems in the Ecuadorian Amazon
comparative performance of the different typologies
Sistemas familiares de producción de leche en la Amazonía Ecuatoriana
desempeño comparado de las diferentes tipologías
Natacha Fierro
1
, Rubén Carrera
1
, Jorge Ordóñez
2*
1
Departamento de Ciencias Biológicas, Universidad Técnica Particular de Loja, San Cayetano, Ecuador;
ndfierro@utpl.edu.ec; racarrera@utpl.edu.ec
2
Programa de Economía Agrícola, Universidad Nacional Experimental de los Llanos Occidentales “Ezequiel Zamora”
UNELLEZ, Barinas, Venezuela, 5201
* Correspondence: jaordonezv@gmail.com
Recibido 27 octubre 2020; Aceptado 20 noviembre 2020; Publicado 01 diciembre 2020
Abstract:
In this work, family milk production systems are individual agricultural operations of a reduced but
not limiting extension with herds' size that can be handled by the family. The structure and
functioning of different typologies identified in previous work were quantified to determine needs
and intervention strategies. Canton Centinela del Condor, Zamora Chinchipe, Ecuador, is located
southeast of the Ecuadorian Amazon. Mountainous terrain, warm and humid climate, and a
predominance of agricultural activity characterize the region. The land, mostly privately owned,
supports 0.80 AU/ha, 19 AU per farm, and produces 4.1 liters of milk/cow/day, on average. The
participant population was 42 producers that provide milk for the same dairy. They voluntarily
completed 27 forms. XLSTAT-Base3DPlot 2.0 of Excel 2007 performed descriptive statistics,
ANOVA, and Fisher LSD test to distinguish between typologies. The Ecoanálisis form was applied
to estimate financial results, cost/liter, and equilibrium prices. The budgeting to analyze the dairy
economy is simple, valuable to the producer, allowing comparing the productive and economic
performance of different rationales. In a formal market, milking is competitive. Conglomerates are
not different, productive, or economically. Only some incorporated techniques make the differences;
such changes contribute in similar proportion to costs and revenues without affecting Profit. Such
poor results lead to the interruption, lack of diffusion, and testing of alternative options in an
itinerant process of trial and error. To achieve the adoption requires integrating the application of
knowledge to the economy.
Keywords:
Conglomerates, economy, innovation, intervention, typology.
Resumen:
Sistemas familiares de producción de leche en este trabajo son operaciones agrícolas individuales
de extensión reducida pero no limitante con un rebaño manejado por la familia. La estructura y
funcionamiento de diferentes tipologías identificadas en trabajos previos, fueron cuantificadas para
determinar necesidades y estrategias de intervención. El Cantón Centinela del Cóndor, Zamora
Chinchipe, Ecuador, se encuentra al sureste de la Amazonía ecuatoriana. Terreno montañoso, clima
cálido y húmedo y predominio de la actividad agrícola caracterizan a la región. La tierra,
propiedad privada en su mayoría, sustenta 0.80 AU/ha, 19 AU por explotación y produce 4.1 litros
de leche/vaca/día, en promedio. La población participante asciende a 42 productores que
proporcionan leche para la misma lechería. Completaron voluntariamente 27 formularios. Se utilizó
XLSTAT-Base3DPlot 2.0 de Excel 2007 para realizar estadísticas descriptivas, ANOVA y prueba
Fisher LSD para diferenciar tipologías. Se aplicó el formulario Ecoanálisis para estimar resultados
económicos, costo/litro y precios de equilibrio. El presupuesto para analizar la economía lechera es
herramienta sencilla, valiosa al productor que permitió comparar el desempeño productivo y
económico de diferentes racionalidades. En un mercado formal, el ordeño es competitivo. Los
conglomerados no son diferentes, productiva ni económicamente. Solo algunas técnicas
incorporadas marcan la diferencia; tales cambios contribuyen en igual proporción a costos e
ingresos sin afectar utilidad. Resultados tan pobres llevan a la interrupción, falta de difusión y
prueba de opciones alternativas en un proceso itinerante de prueba y error. Para lograr la adopción
se requiere integrar la aplicación del conocimiento a la economía.
Palabras clave:
Conglomerados, economía, innovación, intervención, tipología.
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1 Introduction
The family milk production systems (FMPS) referred
to in this work are operations that happen in
individual agricultural production units (APU), with
access to relatively small, but not limited land areas,
with herds as large that can be managed by the
family labor force (Apollin & Eberhart 1999;
Wiggins et al., 2001) whose production is intended
for the market. Additionally, at least ideally, family
farming should be prosperous and provide the family
with autonomy in decision-making without barriers
to new producers' entry, particularly young ones
(Nehring, Gillespie, Sandretto, & Hallahan, 2009).
However, as a livestock activity, FMPS are held
responsible for water and soil contamination in
intensive production systems, land degradation, and
desertification due to overgrazing in drylands and
livestock-induced deforestation in the humid and
subtropical tropics. In contrast, grazing FMPS has
been identified as desirable for causing less
contamination than intensive systems, maintaining a
higher degree of animal and operator welfare
(Nehring et al. 2009), remaining competitive
(Ordóñez, 1998) and other attributes such as
resilience, flexibility or ability to adjust to changing
scenarios (Arriaga, Espinoza, Albarrán, & Castelán,
2000, cited by Wiggins et al., 2001), and to operate
with a frequent and continual source of cash. As
Espinoza (1999) points out, no other small-scale
lawful activity has such a dynamic cash flow.
FMPS to stay productive, profitable, competitive,
and environmentally sustainable, must adapt to
contextual political, institutional, social, and
environmental changes that hinder or promote the
satisfaction of their interests and objectives (Hellin,
Groenewald, & Keleman., 2012). The strategies to
adapt to such changes will result from the interaction
between said changes on the one hand and the
rationality, location, endowment, and structure of
resources and their management capacity, particular
to each producer, foreshadowing options strategies
very heterogeneous. Dixon, Gulliver, & Gibbon
(2001) cited by Hellin et al. (2012) present categories
of farmers' approaches to alleviate or escape poverty:
- Intensification, increasing productivity by applying
external inputs, labor, or other resources more
efficiently, but becoming more dependent on external
resources.
- Diversification, expanding market opportunities by
exercising new products, or adding value to an
existing product to increase revenue and reduce risk
in exchange for dispersing attention to the operation.
- Expansion, expanding the endowment of available
resources such as the herd's size or deforesting new
areas, with adverse effects on the environment.
- Increase in non-farm income, temporarily or
permanently employed outside the farm, with
reduced attention to the operation, although the
revenue generated may be reinvested in agriculture
with a favorable effect, or finally
- Abandonment of agriculture, disregarding the farm to
work in another system, lifestyle, or emigrate.
Addressing the best possible option for both the
producer and society is a huge challenge where
exogenous factors have a simultaneous impact: from
trade and fiscal policy, price policy, inter-sectorial
distortions, the factor market (land and wages),
public goods, in short, everything that affects the
availability and accessibility of resources (Osan,
2003); going through the structure and functioning of
the dairy circuit itself: lack of specific policies,
absence of international markets, insufficient agro-
industrial and commercial development, atomization
of production, inter-sectorial disarticulation to end up
in the production units themselves. It is evident then
that the corrective measures are not disciplinary, nor
are the solutions agronomic or financial. As Wiggins,
Kirsten, & Llambí (2010) point out, this approach is
relevant because small producers' future may not be
in agriculture. However, measures to stimulate the
rural non-agricultural economy and provide work to
those who leave agriculture a favorable climate for
rural investment, a supply of public goods,
institutional development are mainly the same as
encouraging agricultural development.
It is not enough to describe the different types of
farms. The diagnosis, as proposed by Apollin &
Eberhart (1999), must allow understanding of the
"why" of what is observed and identify the "cause-
effect" relationships from the perspective of
diversity, heterogeneity of strategies, and the
interests of the actors, allowing the formulation of
differentiated proposals for each type of producer
based on qualitative criteria of homogeneity.
In the first publication of this series, Carrera, Fierro,
& Ordóñez., (2017) used multivariate techniques to
explain the variability of the FMPS and form
homogeneous groups to make harmonious
recommendations with each group's particularities.
Satisfaction, Risk affinity, and Determination were
the factors extracted through factor analysis, traits
that allowed discriminating through the analysis of
conglomerates, three types of producer:
Conservative, Pragmatic, and Innovative are the
expression of different economic rationales.
Identified the categories that group the FMPS in the
Ecuadorian Amazon, this work's objective was to
explain the structure and differentiated functioning of
the categories and quantifies them to identify
intervention needs and, if necessary, make
harmonious recommendations with the particularities
of each group.
http://novasinergia.unach.edu.ec 110
2 Methodology
This section describes the economic and statistical
procedures used or the bibliographic citation where
they can be found. A block diagram of the
methodology applied is shown in figure 1. Stage I
was the object of a previous publication (Carrera et
al., 2017), as mentioned before. This paper
corresponds to Stage II.
Once validated the composition of the different types
of farms, it turns to the original and constructed
variables to describe their differences in rationality,
location, endowment, structure, resource allocation,
and management capacity. Often, among the factors
that affect heterogeneity, the producer's rationality is
ignored: the differences in interests and economic
objectives that are critical in deciding what to do and
how to do it. Location distinguishes differences in
land productivity levels and climatic conditions. The
first analysis of only 16 observations allowed to rule
out Latitude, Longitude, and Altitude, as
differentiation elements, consistent result as the area
under study is limited to 290 km
2
were no significant
differences in the levels of productivity of the land,
nor of the climatic conditions of the areas dedicated
to milk production.
Endowment refers to the dimension or scale of
production. Simultaneously, the resources' structure is
associated with the relative participation of the own
factors used: debt, land tenure modalities, own or
leased, and the proportion of the hired or family labor.
Management capacity allows differentiating types of
farms based on their skill in applying production
technology and managerial practices such as the
organization of production and accounting records,
attention to formal duties (invoicing and taxation),
calculation of results, and formulation of operating
plan and budget. The differential adoption of
production and economical technology explains the
variability in physical productivity and financial
results.
Start
.
Collect and summarize information on
the physical medium and socio-
economic environment in the area of
influence.
Perform statistical analysis:
descriptive statistics, factor analysis,
and cluster analysis.
Analyze, interpret and validate the
results of the technical forms with the
producers.
Apply technical form for a rapid
technical-
economic diagnosis of dairy
operations.
Identify and describe clusters:
producer groups with different
underlying rationalities.
Stage I
Present the research conclusions and
propose some recommendations or
practical implications.
Perform statistical analysis:
ANOVA and LSD.
Compare physical productivity and
economic performance of different
clusters.
Interpret differences in rationality,
location, endowment, allocation of
resources, and management and
integrate published information.
Collect information about SFPLs:
Structure and Functioning.
Final Report
Figure 1: General diagram of the methodology used.
http://novasinergia.unach.edu.ec 111
2.1 Study area
The province of Zamora Chinchipe, Ecuador, is
located in the southeastern Ecuadorian Amazon,
limiting the north with Morona Santiago's province,
to the west with Loja's province, and with Peru to the
south and east. It has 10556 km
2,
which includes a
unique mountainous orography that distinguishes it
from the rest of the Amazonian provinces.
For its part, Centinela del Condor is the smallest of
the cantons that make up the Zamora Chinchipe
province. The Development Plan and Territorial
Planning 2010-2020 and its update completed in
2015 (Cantón Centinela del Cóndor GAD, 2015)
contains a detailed diagnosis of the Canton Centinela
del Condor. Their most relevant aspects are
summarized below.
Located to the northeast of Zamora Chinchipe, sub-
Andean zone, it encompasses ecosystems of the sub-
tropic and tropic. The canton's climate is warm
humid, corresponding to a humid and humid forest,
both premontane and low montane. The proportion of
the economically active population dedicated to the
primary agricultural sector is 47.4%. The cantonal
area amounts to 262 km
2
, 53.3% dedicated to
agriculture, mainly occupied with natural and
cultivated pastures for cattle production. At the same
time, forests populate 44.6% of the surface and the
remaining 2.13% for water bodies (1.61%), anthropic
areas (0.25%), and shrub and herbaceous vegetation
(0.12%). The canton has 855 productive units (APU).
The most crucial land concentration is in the stratum
between 5 and 50 ha; this makes up 576 APU,
occupying 13062 ha. The bovine population amounts
to 7740 bovine units (UB) in 403 farms that maintain
an average of 0.80 UB/ha and 19 UB per farm, while
milk production averages 4.1 l/cow/day. Cattle are
managed by roping or free grazing. On the rope, each
animal is tied with a rope and moves once or twice a
day. Brachiaria decumbens Stapf., Setaria
sphacelata, and Axonopus scoparius (Flüggé) Kuhlm
predominate; few producers supply cutting-grass,
although sugar cane is used for forage purposes
together with molasses and mineral salts. Regarding
land tenure, the III National Agricultural Census
indicates that 79.4% of the land has its property title.
2.2 Market
ECOLAC, a dairy company based in the city of Loja,
contiguous province of the same name, collects in
Zamora Chinchipe more than 120 thousand
liters/month, just over 40% of the total milk produced
in its area of influence, Yantzaza, El Pangui and
Centinela del Condor cantons (FEDES, 2015). Milk
is paid weekly by individual transfer to each
supplier's account, depending on the volume of the
product registered. Suppliers bear the costs and risks
of transporting milk from the farm to the collection
center. The milk price received is US$ 0.42/l, that
established by Agreement No. 394 (Ministerio de
Agricultura, Ganadería, Acuacultura y Pesca, 2013),
price on which prizes or discounts should be applied,
according to the milk quality (FEDES, 2015).
Between January and August 2015, ECOLAC had
four raw milk collection centers in Zamora
Chinchipe: Chicaña, Chamico, Zumbi, and Yantzaza.
During that period, only 88 suppliers delivered milk
to ECOLAC, less than those existing in previous
years, with the consequent reduction in the volume of
milk collected. The reasons indicated point to
evasion of formal duties and displacement towards
informal markets, less demanding and without
sanitary control, or directly processing it. The
informal market collects milk for local processors at
a variable price between US$ 0.38 and 0.45/l
depending on location, season, and demand for
cheese (FEDES, 2015).
2.3 Collection of information
The study's initial population subject comprises about
100 members of farming communities located in
different milk routes that collected the cooperating
company's different gathering centers. In two cases,
the unwillingness of the collection center
administrators and the providers' collective decision
in another limited the population participating in the
project to the Zumbi collection center, where 42
producers gathered their milk. Due to apprehension,
unfortunate previous experiences, or intentional or
involuntary ignorance of the required information,
only 16 providers completed the survey in April
2015. Refusal to complete the survey prevented the
respondents' systematic choice; all the providers who
accepted it voluntarily were interviewed. The second
cycle of interviews took place in April 2016, after a
few suppliers from other closed collection centers
joined the cooperating company.
The information was collected through the
application of a form prepared based on Ordóñez &
McGrann (1992), to record production coefficients,
estimate income components, and organize costs to
analyze farms' economic performance.
Each observation contemplates original variables
grouped into descriptors of identification, location,
production coefficients, resources, and costs,
segregated into fixed and variable, monetary and
non-monetary. The original 49 variables were
combined to calculate income, economic costs, gross
margin, the total cost per cow and herd, and costs
per liter of milk and equilibrium prices. The
http://novasinergia.unach.edu.ec 112
projected gross income per cow adds milk and cattle
sales, estimated at equilibrium. The variation of
inventory or advance or deferred sales is neutralized
by calculating the number of culled bulls and cows,
males, and heifers sold out of the herd at
equilibrium, based on the coefficients and
demographics indices provided by the respondent,
multiplied by the average market price of each
category. Finally, the group type of farm detected
through the application of multivariate methods and
the code that identifies each provider were
incorporated to complete a database made up of 80
variables and 27 observations.
2.4 Characterization procedure
2.4.1 Statistic analysis
The statistical analysis and edition process were
performed using the XLSTAT-Base3DPlot 2.0
complement of Excel 2007. Statistics of central
tendency and dispersion were obtained for the
variables. Variance analysis identified those variables
where the differences between the means of the
different clusters were statistically significant.
Fisher's LSD test was applied since the three groups
have different numbers of observations (Barón &
Tellez, 2004). These means were used to describe the
different typologies.
2.4.2 Economic Analysis
The economic analysis differs from the financial
analysis in its application. The financial analysis only
considers the monetary income from sales, does not
account for opportunity costs. The economic analysis
considers the opportunity costs of the resources used
in production and the operating costs. The
Ecoanálisis form (Ordóñez & McGrann, 1992) was
applied to execute the economic analysis.
Costs are organized into six categories and classified
into monetary or cash and non-monetary. Non-
monetary costs represent the opportunity costs for
each of the evaluated production factors: land, labor,
capital, and management, as follows:
- Costs of inputs and services to operate (C.ISO):
monetary costs include all expenses considered as
inputs or services to operate during the year. Non-
monetary costs include the opportunity costs of the
inputs produced, on the farm, at market values.
- Capital investment costs: include both the payment
of interest on borrowed capital and the opportunity
cost of own working capital: It includes investment
in livestock, machinery, and equipment, and
working capital. Interest on borrowed capital
results from the average value of the "active"
interest rate during that period. For non-monetary
costs, the "passive" interest rate is applied.
- Costs of ownership reflect the costs that occur
because of owning the assets that make up working
capital. Monetary costs include payments of
property taxes, patents, and Insurance. Non-
monetary costs include the depreciation generated
by these assets at market values.
- Labor costs: include family and hired labor, both
temporary and permanent. The monetary costs
concern the payroll of the hired personnel. Non-
monetary costs meet the opportunity cost of family
labor at market prices.
- Land costs: consider the remuneration for using the
land and the improvements dedicated to milk
production. Land taxes include the Rural Land Tax
(SRI, n.d.), whose collection corresponds to the
central government, and the Property Tax (Cantón
Centinela del Cóndor GAD, 2013), values of rural
properties under the jurisdiction of the municipality
where the property is located. Cash spending from
other people's land is included as monetary costs.
The opportunity cost for land use was estimated as
an equivalent rent, that is, the one canceled by land
in similar use in the region.
- Administration costs: corresponds to the contracted
administration's salaries, or the opportunity cost
that the owner would perceive when performing
management activities outside the farm (purchases,
sales, collections, banks, management of formal
duties).
The results are presented by the Cow Herd Unit
(UVR) and for the Total Herd and include the
following totals:
- Total Projected Gross Income (GI): includes, as
previously indicated, the production of milk and
livestock, estimated at equilibrium at market price.
- Total Projected Production Cost (TC): it is the
result of the sum of all costs.
- Profit: is the difference between GI and TC.
- Total Variable Cost of Production (VC): includes
the costs of supplies and services to operate, the
operating capital, and the temporary labor.
- Gross Margin (GM): GI - VC
- Total Monetary Costs (MC): it is the result of the
sum of all cash costs and the depreciation of the
purchased livestock.
- Monetary Income minus Monetary Costs: It results
from the difference between the GI minus the MC.
- Reason for Income to Cost in cash: obtained by
dividing the GI by the MC.
- Annual Return to Operating Capital: corresponds to
the remuneration received for the investment of that
capital expressed as a percentage. It includes all
payments to working capital (Profit + non-
monetary cost of capital) expressed as a percentage
of own working capital.
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- Annual Return to Family Work: Wiggins et al.
(2001), point out how the return to family labor
results from adding to the gross margin, the
opportunity costs of family labor, expressed in US$
per year because, in their work, the opportunity
cost of family labor was assigned as a variable cost.
The argument is that the family can suspend
milking to dedicate their time to another activity.
For this work, the opportunity cost of labor in the
family milk production business is treated as a
fixed cost since livestock milking and care are
unavoidable. Although carried out by different
family members, the work is permanent. Because it
is an opportunity cost, the cost of family labor
counts as a non-monetary cost.
- Margin per family workday: It results from
dividing the GM by the number of days worked by
the family labor force, expressed in US$/family
wage.
For the equilibrium point analysis, the by-products'
value, which corresponds to the income from the sale
of animals, is subtracted from the corresponding cost,
assuming animals' sale does not generate Profit. The
amount under consideration minus the value of by-
products divided by the total number of liters of milk
produced per cow and year estimates the liter's price
required to cover each cost.
Finally, the results are discussed with the description
of the types obtained, their technical-economic logic,
and some recommendations regarding the
intervention strategy.
3 Results
3.1 Description of the production units
of the different typologies
3.1.1 Use of resources
The similarity in their intensity of use of resources
between typologies is notable. Table 1 compares the
use of resources between typologies. The number of
wages occupied by UVR reached a certain level of
significance (P<0.1), being lower for the
Conservatives (16.39 ± 5.74). They show their high
level of satisfaction or conformity using little family
labor, encountering situations where even not all
lactating cows are milked.
Although the differences did not reach significant
levels (P>0.1), the cost of operating capital was
manifestly higher for the Innovator group (342 ± 10),
which corresponds to a higher C. ISO, as indicated
below, even with a similar number of cows, hectares
and animal units per cow.
3.1.2 Productive performance
As evidenced in table 2, the vast differences (P<0.05)
in the duration of the calving intervals and the
disparities (P<0.1) in lactation yield translate into a
notable advantage in milk production per cow per
year of the Innovator group (1686 ± 172) over the
Pragmatic (1026 ± 109) and Conservative groups
(984 ± 172). Even more noticeable difference
(P<0.05) is found in milk production per hectare and
per year, where the Innovator group (1376 ± 237)
exceeds Pragmatic (506 ± 150) by 172%. This
superiority results from the simultaneous effect of a
higher milk production per cow per year and a lower
surface available by UVR of the former, which is
explained, at least partially, by the greater use of
working capital in the Innovative group, which was
previously analyzed.
3.1.3 Production costs
Table 3a presents the differences in the costs of
supplies and services to operate, capital costs,
ownership costs, labor costs, land costs, and
administration costs between typologies.
That Innovative exceeds in Animal Units per hectare
(AU/ha), application of fertilizers, cleaning of
electric fences and weed control even though it has a
smaller surface area, could explain part of the
superiority (P<0.01) of maintenance expenditure of
fences and paddocks (1791 ± 393). The reduced
amount for this concept of Pragmatic (49 ± 249) and
Conservative (130 ± 393) is because fences and
paddocks' maintenance is limited to manual control
of weeds. That amount is attributed to labor, being
higher the surface by Conservative farm. Although
the differences in C. ISO do not reach a level of
significance (P>0.1), the difference in the amount
used is notable, where Innovative (6063 ± 1 286)
almost doubles the other two categories.
Table 3b shows the differences in ownership costs,
labor costs, land costs, and administration costs
between typologies. The same comment deserves the
opportunity cost of family labor. In this case,
Conservative was notably less (2644 ± 1672) than
Pragmatic (6142 ± 1058) and Innovative (6711 ±
1672), confirming the previous comment that a high
level of satisfaction induces not to apply more family
labor to increase income, even at the expense of not
milking all the lactating cows. The interest paid for
the purchase of livestock speaks of the affinity for
risk and genetic improvement expectations by
Innovative.
3.1.4 Economic results
Table 4 reveals the differences in economic results
between typologies. The proportion of gross income
from milk results from low milk production and little
http://novasinergia.unach.edu.ec 114
emphasis on meat production, as confirmed by the
early age of dismissing (12.8 ± 1.6 months). The
limited number of heifers sold is a consequence of a
low weaning percentage (68.4 ± 17.1%), a high
percentage of heifer mortality (5.19 ± 7%), and a
high rate of cow replacement (24.3 ± 6.9%). Apart
from the UVR gross income, the differences between
groups for this set of variables did not reach
significance levels (P>0.1).
Gross income per cow was higher in Innovative
(P<0.1) because of the superior production/cow/year
mentioned above. However, this higher income per
cow (1089 ± 120 US$) of Innovative is not reflected
in a higher gross margin/UVR (P>0.1), gross income
minus cash outflows/UVR (P>0.1), or Profit/UVR
(P>0.1). This behavior is a consequence of the higher
amount of cash destined for supplies and services,
mostly variable costs, and monetary costs of
Innovative, as mentioned above. Similar
consideration corresponds to the Profit per cow
(P>0.1) that was negative for the three types,
although more favorable for Conservative, who uses
little labor (16.39 ± 5.74 wages/UVR), particularly
family labor, as noted above. It is important to note
that 23 of 27 (85%) of the producers presented a
negative profit. The rate of return to working capital
was equally negative value for the three typologies,
without the differences between them reaching
significance levels (P>0.1) although being more
favorable for Conservative (-13 ± 9%).
Table 1: Means of the resources used by typology: Pragmatic, Innovative, and Conservative.
Pragmatic
Innovative
Conservative
SEM
Pr > F
Area, ha
41.1
32.0
33.7
3.89
0.579
N° cows
18.5
18.2
20.7
1.86
0.887
N° milking cows
8.8
10.1
9099
1.05
0.892
N° cows per bull
9.7
8.4
11.5
1.79
0.857
N° cows per horse
8.9
9.0
14.7
2.01
0.513
Hectares / UVR
2.5
1.8
1.8
0.26
0.454
UA / UVR
1.55
1.5
1.4
0.05
0.568
Wages / UVR
30.3
ab
36.0
a
16.4
b
2.92
0.059
Cost of Operating Capital / UVR
99
342
100
50.50
0.135
SEM - Standard Error of the Mean
ab
Means in the same row with unequal letters are different P <0.10
Table 2: Productive performance averages by typology: Pragmatic, Innovative, and Conservative.
Pragmatic
Innovative
Conservative
SEM
Pr> F
Calving interval, days
465
b
408
b
551
a
17.50
0.017
Duration of lactation, days
219
b
229
ab
260
a
8.17
0.130
Average age at weaning, months
5.3
7.0
5.8
0.40
0.258
Weaning percentage, %
66.3
77.1
64.8
3.30
0.376
Age at sale of bulls, months
15.1
10.0
9.8
1.61
0.276
Age of 1st calving, months
28.5
29.8
30.0
0.62
0.559
Percentage of mortality in heifers, %
3.9
6.1
7.4
1.44
0.616
Percentage of mortality in bulls, %
12.5
8.5
5.3
3.94
0.766
Percentage of mortality in cows, %
6.4
6.5
7.2
1.34
0.974
Cow replacement percentage, %
24.1
27.7
21.6
1.32
0.311
Production per cow, l / day
5.9
b
7.9
a
6.6
ab
0.38
0.094
Production per lactation, l
1304
b
1794
a
1656
ab
90.10
0.053
Production / ha / year, l / ha
506
b
1376
a
727
ab
127
0.017
Production / cow / year, l / cow
1026
b
1686
a
984
b
95.20
0.008
Proportion of replacement cows purchased, %
5.89
19.10
0.0
3.89
0.242
Useful life of breeding bulls, years
2.1
1.8
2.0
0.33
0.938
SEM - Standard error of the mean
ab
Means in the same row with unequal letters are different P<0.10
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Table 3a: Average production costs (C.) in US$ by typology: Pragmatic, Innovator, and Conservative.
Pragmatic
Innovative
Conservative
SEM
Pr> F
C. Calf feed
146
55
198
80.4
0.844
C. Feed for cows
1073
1269
1307
342
0.955
C. Milking hygiene
69
58
15
13.3
0.278
C. Veterinary medicines
804
1059
489
147
0.448
C. Tools and supplies
67
78
50
16.9
0.864
C. Fuels and lubricants
141
245
196
58.7
0.781
C. Gas and electricity
88
48
245
40.5
0.211
C. Freight and transportation
635
1119
378
145
0.223
C. Maintenance of fences and paddocks
49
b
1791
a
130
b
227
0.003
C. Mach & Equip Maintenance
39
b
323
a
147
ab
53.6
0.103
C. Maintenance of facilities
10.0
16.7
4.2
6.57
0.829
C. Vehicle maintenance
81.6
0
70.5
46.7
0.793
Total C. Inputs and services to operate
3321
6063
3418
623
0.198
C. Interest on livestock debt
44
b
744
a
117
ab
117
0.045
C. Interest on debt of Mach & Equip
56
0
0
31.1
0.687
Total C. Interest on debt
100
b
744
a
117
ab
119
0.076
Opportunity C. Livestock investment
915
769
1169
102
0.424
Opportunity C. Mach & Equip investment
189
340
194
56.5
0.563
Opportunity C. operating capital
106
173
127
21.1
0.470
Total opportunity C. Working capital
1210
1282
1490
150
0.772
Total C. Capital
1310
2026
1607
219
0.439
SEM - Standard error of the mean
ab
Means in the same row with unequal letters are different P <0.10
Table 3b: Average production costs (C.) in US$ by typology: Pragmatic, Innovator, and Conservative.
Pragmatic
Innovative
Conservative
SEM
Pr> F
C. Taxes and livestock insurance
17.5
b
70.3
a
11.3
b
9.24
0.041
C. Taxes and insurance Mach. & Equip
21
53
120
24.9
0.297
Total C. Monetary ownership
39
124
131
29.1
0.330
Depreciation of livestock
489
491
419
87.4
0.949
Depreciation Mach. & Equip
961
1700
969
295
0.601
Total C. Non-monetary ownership
1450
2192
1388
300
0.592
Total C. Ownership
1489
2315
1519
318
0.582
C. Temporary labor
1007
874
419
310
0.765
C. Permanent labor
420
826
1875
376
0.316
Total C. Monetary labor
1427
170
2294
526
0.818
Total C. Opportunity. Family workforce
6142
6711
2644
815
0.171
Total C. Labor
7569
8411
4938
800
0.313
C. Land tax
150
40
68
45.2
0.577
Rent of land
364
717
450
185
0.764
Total C. Monetary land
514
757
518
183
0.869
C. Opportunity of own land
4333
2593
5217
754
0.508
Total C. Land
4847
3350
5735
724
0.554
Total C. Opportunity Administration
1541
1136
1869
472
0.882
SEM - Standard error of the mean
ab
Means in the same row with unequal letters are different P <0.10
Table 4: Averages of financial results by typology: Pragmatic, Innovative, and Conservative.
Pragmatic
Innovative
Conservative
SEM
Pr> F
Milk share in gross income,%
56.7
65.2
57.7
2.30
0.339
Gross income / UVR, US $ / UVR
781
b
1089
a
673
b
61.4
0.050
Gross margin / UVR, US $ / UVR
532
624
479
63.3
0.754
Gross income - C. monetary / UVR, US $ / UVR
451
499
354
62.4
0.743
Profit / UVR, US $ / UVR
-351
-352
-294
67.0
0.944
Working capital rate of return,%
-19.9
-17.4
-12.8
4.26
0.813
SEM - Standard error of the mean
ab
Means in the same row with unequal letters are different P <0.1
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3.1.5 Breakeven analysis
The equilibrium point analysis expresses the price of
milk that the producer must receive to cover the
different costs: Variable, Monetary, and Total, once
the income from the sale of animals has been
subtracted from the corresponding value.
The price of milk needed to cover all variable costs
averaged -0.06 ± 0.05 US$/l. Differences between
groups did not reach significance levels (P>0.1).
Negative values indicate that the income from the
sale of discarded animals, cows, bulls, and heifers
covers all the variable costs. On the other hand, the
price of milk necessary to cover monetary costs
averaged 0.02 ± 0.05 US$/l, and the differences
between groups also did not reach significant levels.
These figures confirm the producers' appreciation
when they indicate that they are "producing at cost,"
as they receive the benefit when they occasionally
have animals for sale. Finally, the price of milk
necessary to cover the Total Cost averaged 0.79 ±
0.08 US$/l, 90 % higher than the amount paid to the
producer for the liter of fluid placed in the receiver.
Innovative accumulated the lowest total cost per liter
of milk (0.68 ± 0.18), although the differences
between groups did not reach significance levels
(P>0.1).
3.1.6 Family work remuneration
As table 5 examine, the implicit return to family
labor amounted to US$ 9908 ± 1344 per year per
farm, which remunerates an average of 402 ± 59.4
wages/year, equivalent to 24.6 ± 9.11 US$/day
worked, which corresponds to what the worker
would cease receiving if he discards the dairy activity
on the family farm.
Said amount is equivalent to 1.15 times the minimum
wage established by Ministerial Agreement 0233-
2015 (Ministerio del Trabajo, 2015) that Regulates
Special Labor Relations in the Agricultural Sector,
amounts to US$ 21.41/day worked. These results
surpass those reported by Chauveau (2007), who
states that the best-endowed families can ensure US$
500 or more per month for the sale of milk in
Cayambe, Ecuador. Udo et al. (2011) confirm that, in
terms of "returns," the most significant benefits come
from dairy cattle. The differences between typologies
reached significance levels (P<0.10) for family
wages/UVR, confirming that the Conservative group
(10.6 ± 3.38) makes little use of family labor in
milking, possibly because it occupies part of their
time on a job outside the farm.
The remuneration for family work of 23 of the 27
farms analyzed (85%) exceeds the annual cost of the
vital family basket (INEC, 2016), while 78% (21/27)
manages to exceed the amount of the essential family
basket. These results coincide with those of Willot
(2006), cited by Brassel & Hidalgo (2007), who, in
several parishes in the southern Andean region of
Ecuador, concludes that milk production is the only
activity that allows an agricultural income
comparable to or higher than wages of a day laborer.
3.2 Milk production cost structures of
the different typologies
The cost structure reflects for each item or expense
account; the average annual amount disbursed as a
proportion of TC expressed as a percentage.
3.2.1 Input and service costs to operate
The disbursements applied to the acquisition of
inputs and the hiring of services used in milk
production are variable and monetary in their
entirety. C.ISO represents 19.2% of TC, the most
significant contribution after labor. C.ISO is also the
more substantial component of cash costs, with the
workforce being mostly family. The leading
members of this account are the feed of cows
(5.68%), typically mineral supplement, veterinary
medicine (3.84%), freight and transportation (3.33%)
represented by the payment of the transfer of milk to
the reception, fences, and paddocks maintenance
(2.21%) and 3.63% for other costs such as detergents,
fuels, and general supplies. The most notable
difference between typologies is the greater
participation of this segment in total expenses by
Innovative, which amounts to 26.0%, as opposed to
16.54% by Pragmatic and 17.9% by Conservative.
On the other hand, while all (100%) producers apply
vaccines, parasiticides, and medications, only two-
thirds of Innovative and Conservative incur freight
and transportation costs, indicating that the rest have
their vehicle as opposed to Pragmatic, were 93.3%
pay freight.
3.2.2 Capital costs
The average share of capital costs in TC amounts to
7.46%, with only 1.20% are attributable to the
payment of interest on the debt, that is, monetary.
The interest paid on the debt contracted by
Innovative, mainly in livestock, far exceeds (744
US$) the amounts paid by Pragmatic (100 US$), and
Conservative (117 US$), being the contribution of
this item to TC of 3.19, 0.50, and 0.61%,
respectively. The remaining 6.26% corresponds to
the opportunity cost of its capital. The most
significant proportion of working capital (livestock,
machinery, and cash flow) corresponds to cattle. That
item contributes 4.56% of TC, with no significant
difference between conglomerates.
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Table 5: Means of family work remuneration indicators by typology: Pragmatic, Innovator and Conservative, and general
mean.
Pragmatic
Innovative
Conservative
Mean
SEM
Pr> F
Gross Margin, US $
9061
11428
10506
9908
1344
0.774
Total family wages
456
494
175
402
59.4
0.118
Gross Margin / family wage, US $ / wage
19.9
23.1
60.0
24.6
9.11
0.115
Family Labor proportion, %
94.2
74.6
69.6
84.4
5.37
0.115
Family wages / UVR
28.7
a
29.8
a
10.6
b
24.9
3.38
0.072
SEM - Standard error of the mean
ab
Means in the same row with unequal letters are different P <0.1
3.2.3 Ownership Costs
Monetary costs of ownership are negligible from a
practical standpoint, contributing less than half a
percent to TC. The depreciation of machinery and
equipment corresponds to 5.48% of TC. A more
significant contribution to TC can be seen in
Innovative. The participation amounts to 7.30%,
against 4.79 and 5.08% from Pragmatic and
Conservative, respectively. Ownership costs
ultimately contribute an average of 8.16% of TC.
3.2.4 Labor Costs
The cost of labor is the most significant component
of TC in FMPS (34.9%). In the FMPS, the amounts
used in hired labor are proportionally small (15.6%
of wages) but economically important due to the
magnitude of their participation in TC (8.17%),
particularly in Conservatives with 12.0%
participation, compared to 7.11 and 7.29% of
Pragmatic and Innovative respectively. On the other
hand, since it is a valuable resource, family labor is
applied extensively, as demonstrated by both
indicators of the intensity of use: 28.4 ± 2.9
wages/UVR or ten cows per man equivalent per year
TC (26.7%). Particularly notable is the reduced
participation of this concept in the Conservative
structure (13.9%). In comparison, it amounts to 30.6
and 28.8% in Pragmatic and Innovative.
3.2.5 Land Costs
Few properties exceed 70 hectares, so the rural land
tax is of little significance. However, all the farms
pay the property tax to the municipality, contributing
0.52% of the TC. 50% of Innovative pay cash rent,
while only 26.7% of Pragmatic and 33.3% of
Conservatives do so. However, the amount canceled
does not differ significantly between conglomerates
and amounts to 2.24% of TC, which, added to land
taxes, completes monetary land costs by 2.77%.
Zhunaula (2013) analyzed the costs of milk
production in family units in the same province of
Zamora Chinchipe, reporting a 71.4% share of labor
in TC, a value much higher than that reported here, a
disparity attributed to methodological differences.
The opportunity cost for using its land is the most
significant TC's component, with 20.1%. The
differences between groups are marked, with the
contribution of Innovative being notably low
(11.1%), which makes greater use of leased land.
Meanwhile, all Pragmatic and 83.3% of
Conservatives contribute 21.6% and 27.3% to TC.
3.2.6 Administration Costs
Finally, the administration or management costs were
entirely non-monetary since they do not use
employed administration. The entire Conservative
group claimed management functions and assigned it
a significant value. At the same time, only 53.3% of
Pragmatics and 66.7% of Innovators did so. In the
end, administration costs contributed 7.41% of TC.
4 Discussion
Contrasting the results obtained in Centinela del
Cóndor with other works published in Latin America,
or even in the Ecuadorian Sierra itself, is complicated
due to the diversity of the integration of the dairy
chain (FAO-FEPALE, 2012). The average size of the
farms, the meaning of "small family producer," the
chain's organization to the consumer, the destination
of production, and the relationship between the
producer and the industry, are aspects that contribute
to the heterogeneity. To this is added the diversity of
methodologies applied by the different schools.
4.1 Use of resources
From the comparison of the use of resources between
typologies, the similarity in the intensity of use is
notable. This behavior brings up the observation of
Apollin & Eberhart (1999), who pointed out that a
typology by ranges of dimensions (0 to 1 ha., 1 to 2
ha., 2 to 3 ha.) "is useless if the scope does not
express different economic and logical rationalities
of agricultural production techniques."
The number of wages employed by the UVR reached
a certain level of significance (P <0.1), resulting
notably lower for the Conservative group, evidencing
http://novasinergia.unach.edu.ec 118
their high level of satisfaction by not making use of a
more significant amount of family labor, finding
situations in which even not all the lactating cows are
milked. As it is an available resource, family labor is
applied extensively, as shown by the intensity of use
indicator of 28.4 ± 2.9 Wages / UVR or ten cows per
Man Equivalent per year, as the amount contributed
to the TC (26.7%).
As it is a usable resource, family labor is applied
extensively, with similar results to those obtained by
Maroto et al. (2018). Particularly noticeable is the
reduced participation of Family labor in the
Conservative structure (13.9%). In comparison, it
amounts to 30.6 and 28.8% in Pragmatic and
Innovative, respectively.
The fact that Innovator exceeds in Animal Units per
hectare (AU / ha), application of fertilizers, cleaning
of electric fences, and weed control; although it has
less land area, it could explain part of the superiority
(P <0.01) of the expenditure on maintenance of
fences and paddocks. The reduced amount for this
concept of Pragmatic and Conservative, with the area
per farm being greater than Conservative, is because
fences and paddocks are limited to manual weed
control and, that amount is assigned to labor.
Although the differences did not reach significant
levels (P> 0.1), the cost of operating capital or
working capital was higher for the Innovator group,
even with a similar number of cows, hectares, and
animal units per cow.
4.2 Productive performance
Regarding the productive performance, the large
differences (P <0.05) in the duration of the calving
interval and the disparities (P <0.1) in production per
lactation translate into a notable advantage in milk
production per cow per year of the Innovative group
over the Pragmatic and Conservative groups. An
even more notable difference (P <0.05) is found in
milk production per hectare and per year, since the
Innovator group surpasses Pragmatic by 172% as a
result of the simultaneous effect of higher milk
production per cow per year and lower surface
available per UVR of the first, which is explained, at
least partially by the greater use of working capital in
the Innovator group.
4.3 Production costs
The fact that Innovator exceeds in Animal Units per
hectare (AU/ha), application of fertilizers, cleaning
of electric fences, and control of weeds, although it
has less surface area, could explain part of the
superiority (P<0.01) of the expenditure on
maintenance of fences and paddocks. The reduced
amount for this concept of Pragmatic and
Conservative is because fences and paddocks'
maintenance is limited to manual control of weeds.
That amount is attributed to labor, being the area per
Conservator farm greater.
Although the differences in C.ISO do not reach a
significance level (P>0.1), the difference in the
amount used is noticeable, where Innovator almost
doubles the other two categories. The main
component of C.ISO is the cost of feed for cows,
represented almost exclusively by the mineral
supplement. These results confirm the appreciation of
Espinoza, Álvarez, Del Valle, & Chauvete's (2005),
who conclude that the costs generated by feed within
livestock activities and specifically in milk
production constitute the most component (Espinoza
et al., 2005).
The opportunity cost of Family Labor was notably
lower for Conservative than Pragmatic and
Innovative, confirming that a high level of
satisfaction induces not to apply mire family labor to
increase income, even at the expense of not milking
all lactating cows. According to Jiménez, Espinoza,
& Soler (2014), family labor is one of the variables
that negatively influence production units'
profitability. Zhunaula (2013) analyzed the costs of
milk production in family units in the same province
of Zamora Chinchipe, reporting a participation value
that was vastly higher than that reported here.
The amount of the interest paid due to the purchase
of livestock, Taxes, and Insurance paid for the same
livestock speaks of the affinity to the risk and the
expectations of Innovator's genetic improvement.
4.4 Economic results
The low proportion of income from milking results
from low milk production and little interest in meat
production, as evidenced by the young bulls' selling
age. The low number of heifers sold is due to the
simultaneous effect of a low weaning percentage, a
high percentage of heifer mortality, and a high rate of
replacement of cows.
Gross income per cow was higher in the Innovator
group (P<0.1) due to the higher production/cow/year.
This higher income per cow for Innovator is not
reflected in a higher Gross Margin/UVR (P>0.1),
Gross Income minus cash outflows / UVR (P> 0.1)
or Profit / UVR (P>0.1), as a consequence of the
greater amount of cash allocated to inputs and
services, mostly variable costs and of course
monetary from Innovator. These results contrast with
studies by Robison & Barry (1987) and Torero
(2010) cited by FAO (2014), for whom a decrease in
http://novasinergia.unach.edu.ec 119
the demand for inputs causes lower expectations of
profitability and lower levels of production.
The Profit per cow (P>0.1) was negative for the three
types, although more favorable for Conservative,
which employs very little labor, particularly family
labor, as indicated above. 23 out of 27 (85%) of the
producers presented negative Profits.
The return rate to working capital was negative for
the three typologies, without the differences between
them reaching significance levels (P>0.1). However,
it was more favorable for Conservatives. These
results confirm the conclusions of Arias et al. (2011),
Arias & Vargas (2010), and Cafferata (2010), that
profitability will depend on how both the prices of
final products and the prices of agricultural inputs
evolve and how intensive is the use of inputs.
4.5 Breakeven analysis
The breakeven analysis expresses the milk price that
the producer must receive to cover different costs,
Variable, Monetary or Total, once the income from
the sale of by-products has been deducted from the
corresponding cost. They result from subtracting
from the different production costs (variable,
monetary, or total) the value of the sales of discard
animals, bulls, and heifers and dividing this result by
total milk production. Thus, equilibrium prices
respond to variation in production costs, as indicated
by the study carried out by the National Council for
Economic and Social Policy (Consejo Nacional de
Políticas Económicas y Sociales, 2010) and the
production levels achieved.
The milk's price must cover the variable cost
averaged -0.06 ± 0.05 US $/l without differences of
significance (P> 0.1). The negative values indicate
that the income from the sale of discard animals,
bulls and heifers, covers all variable costs. For its
part, the price of milk necessary to cover monetary
costs averaged 0.02 ± 0.05 US $/l without significant
differences between groups. These figures confirm
the producers' appreciation when they indicate that
they are "producing at cost" since the benefit is
received when they occasionally have animals for
sale. The price of milk necessary to cover total costs
averaged 0.79 ± 0.08 US$/l, 90% higher than the
price paid to the producer for the liter of milk placed
at the dairy. Innovators accumulated the lowest total
cost per liter of milk (0.68 ± 0.18 US$/l) even though
the differences between groups did not reach levels
of significance (P> 0.1).
4.6 Compensation for family work
The implicit return to family labor amounted to 9908
± 1344 US $ average per year per farm, which
remunerates an average of 402 ± 59.4 wages/year,
equivalent to 24.6 ± 9.11 US $/day worked, which
corresponds to what the worker would cease to
receive if he gave up attending the dairy activity on
the family farm.
This amount is equivalent to 1.15 times the minimum
wage established by Ministerial Agreement 0233-
2015 (Ministerio del Trabajo, 2015) that Regulates
Special Labor Relations in the Agricultural Sector; an
amount that amounts to 21.41 US $/day worked.
These results exceed those reported by Chauveau
(2007) that states that the best-endowed peasant
families can secure US$ 500 or more per month for
the sale of milk in Cayambe, Ecuador. Udo et al.
(2011) confirm that the more significant benefits
come from dairy cattle in terms of returns. This is
also confirmed by Long (1966), indicating that
income from dairy farming is essential for families.
The differences between typologies reached levels of
significance (P<0.10) for family wages/UVR,
confirming that the Conservative group (10.6 ± 3.38)
makes little use of family labor in milking work,
possibly because it occupies part of their time in
work outside the property, as pointed out by Maroto
et al. (2018) who indicates that almost 40% of
livestock farmers obtain more than half of their
income from activities not related to livestock. Of
these, half work in the public sector, notably
commercial and veterinarians. A third of the families
receive a retirement pension. For her part, Rubio
(2000) mentions that work outside the production
unit is part of "survival strategies." In short, the rural
employment profile in the Ecuadorian case is quite
diversified; close to half of the rural employment
occurs in various modern activities such as
commerce and "non-agricultural" activities
(Martínez, 2000).
The remuneration for family work of 23 of the 27
farms analyzed (85%) exceeds the annual cost of the
Vital Family Basket (INEC, 2016) while 78%
(21/27) manages to exceed the cost of the Basic
Family Basket. These results coincide with those of
Willot (2006) cited by Brassel & Hidalgo (2007). In
several parishes of the South - Andean region of
Ecuador, they conclude that milk production is the
only one that allows an agricultural income
comparable or higher than the salary of a day laborer.
5 Conclusions
Grazing FMPS are valued as less polluting than
intensive systems, meet the animal and operator
welfare requirements, remain flexible to adjust to
changing scenarios, and provide frequent cash to the
household. In extensive pasture areas existing in the
Ecuadorian Amazon, cattle breeder communities
http://novasinergia.unach.edu.ec 120
have been intentionally attracted through
colonization policies. Today, they represent a good
part of the economically active population. They
have the infrastructure; provide meat, milk, and
environmental services to the community. They
consciously link to the consumer through an
elementary dairy chain and do so with satisfactory
results.
To alleviate or get out of poverty, farmers adopt
different strategies with opposite consequences for
the environment, the economy, society, and culture.
Faced with the options of Intensification, Expansion,
or Abandonment of agriculture, one cannot be
indifferent.
Formal dairy enterprises such as cooperatives are
examples of what the private sector can do to boost
the region's dynamism and contribute to its suppliers'
well-being. Receipt guarantee, known price, timely
payment, quality bonus, and technical support have
been, with the ups and downs of agriculture, highly
significant contributions, as evidenced by the
progress made by producers organized around their
collection centers. Under the prevalent scenarios in
Centinela del Condor, with a formal market
guarantee, milking is competitive.
The methodology used allowed describing and
comparing the different typologies of farms detected
by applying multivariate methods. For its part, the
economic analysis technique by preparing a budget to
analyze the dairy economy is simple. Costs and
income are detailed to summarize financial results
that are of value to the producer and compare
companies' performance from different areas,
systems, scales, and rationales. The methodology
requires elementary accounting records or producers
aware of the inputs and products of their activity.
It is appropriate to recognize that the figures obtained
are difficult to compare with previous work. In
addition to applying different accounting
methodologies, they deal with production systems
that differ in rationality, location, endowment,
resource structure, and management capacity.
From dairy farming exclusively, the identified
conglomerates are not differentiated, productively, or
economically; only some incorporated techniques
make the difference. In the Innovative group,
different producers individually incorporate some
innovations. The changes contribute to the same
proportion to costs and income without affecting
Profit, although they improve working conditions.
The poor results lead to their interruption, the
absence of diffusion, and the attempt of different
novel options in an itinerant trial and error process.
The growth of family dairy in the Ecuadorian
Amazon is limited by the lack of a market for milk
and the absence of technology that mitigates the
severity of hard work and increases labor
productivity. The option is not to expand the area to
milk more cows but to increase the yield of forage
crops to reduce grazing land and liberate marginal
terrain with steep slopes and fragile soils. To do so
requires integrating the application of knowledge to
the economy.
The application of the results in the selection of the
intervention strategies goes through 1) recognizing
the differences of interests and objectives of the
families and their resources; 2) use the Innovator
group's natural curiosity, risk affinity, and credit
experience to establish demonstrative trials on the
farms themselves; 3) to test "families" of
complementary practices, including those of
economic management; 4) favor the manifestation of
the properties that determine the adoption rate of the
innovation: relative advantage, compatibility,
complexity, verifiability, and observability (Rogers,
2003); 5) facilitate subjective evaluation by the
Pragmatic group; to finally synthesize coherent
technological arrangements.
The economic analysis allows us to identify the
production strategies applied by each typology;
however, it is necessary to analyze marketing options
(Posadas et al., 2014). Some producers divert part of
the milk produced to other destinations as a risk
reduction mechanism, margin increase, or simply
place the product from evening milking.
Finally, in terms of trade openness, the
recommendations made by Salgado (2007) remain in
force, only now more urgent: "Any internal schema
implemented must seek to adapt producers to more
open market conditions, make more efficient
domestic production, expand opportunities for
products with exportable potential, increase yield to
lower unit costs, focus assistance policies on small
producers."
Conflicts of Interest
All the authors made significant contributions to the
document, and those who agree are its publication
and state that there are no conflicts of interest in this
study.
Part of this work was submitted to the "2nd National
Agro economic Research Contest" sponsored by the
Ministry of Agriculture, Livestock, Aquaculture, and
Fisheries (MAGAP) held in Quito, Ecuador last
November 2016, resulting in first place winner in the
Master's category.
Acknowledgment
This article is part of the research project "Promotion
of technological change in bovine livestock in Loja
http://novasinergia.unach.edu.ec 121
and Zamora Chinchipe" funded by the Secretary of
Higher Education, Science, Technology, and
Innovation (SENESCYT) and the Technical
University of Loja (UTPL), Ecuador.
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