International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub.net Vol. 4, No. 1, p. 8-21, 2014
OPEN ACCESS
RESEARCH PAPER
Sustainability of cattle farming using analysis approach of Structural Equation Modeling (a study on dry land of Tanah Laut Regency, South Kalimantan, Indonesia) E. S. Rohaeni1, B. Hartono2, Z. Fanani2, B. A. Nugroho2 1
Faculty of Animal Husbandry, University of Brawijaya, Malang, Indonesia. Reseacher at The
Assessment Institute of Agricultural Technology South Kalimantan, Jl. Panglima Batur Barat No. 4 Banjarbaru, Kalimantan Selatan, Indonesia 2
Faculty of Animal Husbandry, University of Brawijaya, Jl. Veteran, Malang, Indonesia
Key words: beef cattle, resources, welfare.
Article published on January 02, 2014 Abstract The study was conducted in the village of Sumber Makmur and Central Banua, Takisung Sub-district, Tanah Laut Regency, South Kalimantan Province, Indonesia. This study aims to determine (1) factors influencing the sustainability of beef cattle farming (2) factors influencing the welfare of farmers, in form of a case study on the dry land. The study was conducted with survey method to 111 respondents using questionnaires that had been prepared previously (structured). The respondents were chosen by purposive sampling with criteria of having or farming beef cattle. The data were analyzed using Structural Equation Modeling (SEM), completion of the data was conducted using AMOS software. In this study, there are seven endogenous variables and two exogenous variables. The endogenous variables are environmental, economic, social, technology, physical, human, and institutional resources.
The results show that environmental, economic, technological, physical, human, and
institutional resources influence the sustainability of
beef cattle farming; environmental, economic,
technological, physical, human, and institutional resources influence, either directly or indirectly, the welfare of farmers (except social); and cattle farming sustainability variable influences the welfare of farmers. According to the result of this study, it is suggested that for the sustainability of beef cattle farming and to improve the welfare of farmers, several things that should be improved and considered are the improvements of resources, primarily environmental, economic, technological, physical, human, and institutional resources. *Corresponding
Author: Eni Siti Rohaeni
[email protected]
Rohaeni et al.
Page 8
Introduction
can help agriculture planners and policymakers
South Kalimantan is a province in Indonesia that is
identifying appropriate policies and monitoring the
included in the eastern part of Indonesia in which the
effectiveness of those policies. At first, aspects
agricultural sector is one of the important livelihoods
assessed in sustainable agriculture were only 3 pillars
for the people. It can be seen from the number of
or dimensions, namely ecological, economic and
agricultural households equal to 432,359 and the
social. Then they were developed and accomplished
number of agricultural households in Tanah Laut
by
Regency as many as 43,262 (Central Agency on
institutional, legal, human resources and others as
Statistics of South Kalimantan, 2013a) and the growth
reported by several studies such as the studies
rate in 2012 for the agricultural sector equal to 3.6 %
conducted by Suyitman et al. (2009), Nazam (2011)
(Central Agency on Statistics of South Kalimantan,
and Rois (2011).
other
dimensions
such
as
technological,
2013b). One of farming carried out by farmers in South Kalimantan is raising cattle, although it is still
SEM is the integration between two statistical
limited as subsistent one.
concepts, namely the concept of factor analysis belonging to measurement model and the concept of
Increased demand for beef products in South
regression
Kalimantan must be balanced with some efforts
measurement
through government programs.
Strategies are
between variables and their indicators and the
required
supported
structural model explains the relationship among
in
their
development
by
through model
structural explains
model. the
The
relationship
appropriate, efficient and effective technological
variables.
innovations, and can be carried out by farmers both
psychometrics, and the structural model is a study of
technically and socially. These opportunities are
statistics. SEM is an evolution of multiple equation
supported by the potential of natural resources which
models (regression) developed from the principle of
are still fairly open such as vast land and agricultural
econometrics and combined with the principle of
and agro industrial
settings (factor analysis) of psychology and sociology
wastes that have not been
optimally utilized as animal feed (Agency for
The measurement model is a study of
(Hair et al., 1995).
Agricultural Research and Development, 2007). This study aims to analyze (1) factors influencing the World
Commission
on
Environment
and
sustainability of feed cattle farming (2) factors
Development (WCED) in 1987, known as the
influencing the welfare of farmers, in Tanah Laut
Brundtland report, Our Common Future defines
Regency, South Kalimantan, Indonesia.
sustainable development as development that meets the needs of the present without sacrificing the ability
Materials and methods
of future generations to meet their own needs
Research settings
(WECD,
sustainable
The study was conducted in the village of Sumber
development includes three main points, namely:
Makmur and Central Banua, Takisung Sub-district,
economic, social, and ecological (Munasinghe, 1993;
Tanah Laut Regency, South Kalimantan, Indonesia.
Drexhage
Agricultural
The location was chosen with consideration that it
sustainability refers to the ability of agriculture to
was the basis of beef cattle farming and due to its the
produce
vast dry land. The study was conducted from June to
1987).
The
and food
Murphy, without
concept
of
2010). limits,
without
causing
irreversible damage to the ecosystem (Asadi et al.,
December 2012.
2013). From the study conducted by Asadi et al. (2013) in Iran, it is known that the ecological, social,
Sampling techniques and data collection
and economic aspects provide positive effects on
The method used in this research was a survey
sustainable agriculture. The results of his research
method.
Rohaeni et al.
Primary data was obtained through
Page 9
interviews with farmers using questionnaires that had
The data was analyzed using Structural Equation
been prepared previously (structured). The technique
Modeling
used
variables as follows :
in
determining
information
in
the
respondents study
was
by
to
collect
particular
(SEM)
1.
to
To
examine examine
two
endogenous
the
effects
consideration (purposive). The respondents selected
environmental,
were those who had or bred beef cattle. In general, the
technological,
farming of beef cattle is carried out to local cattle i.e.
institutional resources on the sustainability
Bali cattle and
of cattle farming
Ongole
Crossed Cattle (PO). The
physical,
examine
social,
human,
the
and
number of respondents in this study were 111 people
2.
coming from the village of Central Banua as many as
environmental,
52 people and 59 people from the village of Sumber
technological, physical, human, institutional
Makmur, Takisung Subdistrict, Tanah Laut Regency,
resources and cattle farming sustainability
South Kalimantan, Indonesia.
To
economic,
of
effects
economic,
of
social,
on the welfare of farmers The observed variables are shown in Table 2. For the
Data analysis
completion of data, AMOS software is used.
Table 1: Variables observed in the study Variables
Indicators
Number of Itemize
Environmental Resources (X1)
Economic Resources (X2)
Social Resources (X3)
Technological Resources (X4)
Physical Resources (X5)
Human Resources (X6)
Institutional Resources (X7)
Cattle Farming Sustainability (Y1)
Welfare of Farmers (Y2)
Rohaeni et al.
X11
Utilization of Waste
2
X12
Level of Pollution
2
X13
Quality Supporting Environment
4
X21
Financial Institutions
3
X22
Sources of Capital
3
X31
Communication Relationship
6
X32
Cooperation
3
X41
Mastery of Technology
5
X42
Mastery of Livestock Management
3
X51
Asset Ownership
4
X52
Availability of Means of Production
4
X61
Labor
4
X62
Education Level
4
X71
Quality of Organization/ Group
5
X72
Institutional Relationships
7
Y11
Quantity of Cattle Farming
3
Y12
Quality of Cattle Farming
3
Y21
Incomes
8
Y22
Savings
2
Y23
Life Quality
4
Page 10
Results and Discussion
secondary food crops (Palawija) and beef cattle. This
Characteristics of respondents
reflected that the farmers in the research site carried
Based on the survey and Focus Group Discussion
out diversification with several commodities that
(FGD) conducted with community leaders, it was
were conducted integratedly. Characteristics of the
known that there were some common or quite
respondent farmers observed in this study were
dominant patterns of farming which were performed
categorized according to age, education, experience,
by farmers in Tanah Laut
land area, members of household and number of
farming
carried
out
Regency.
consisted
of
Patterns of food
crops,
cattle ownership.
Table 2: Characteristics of the respondent farmers in the Subdistrict of Tanah Laut No
Respondents Characteristics
1
Age (years old):
2
3
4
5
6
Total
Percentage
a.
20-30
7
10.29
b.
31-40
18
26.47
c.
41-50
22
32.35
d.
51-60
13
19.12
e.
> 60
8
11.76
2
2.94
Education (years old): a.
Not studying at school (0)
b.
Elementary School (1-6)
31
45.59
c.
Junior High School (7-9)
22
32.35
d.
Senior High School (10-12)
8
11.76
e.
> 12
5
7.35
Experience (years old): a.
1-10
24
35.290
b.
11-20
28
41.180
c.
21-30
10
14.710
d.
> 30
6
8.820
a.
3
20
29.41
Land Area (ha):
Household Members (people): a.
1-2
6
8.82
b.
3-4
41
60.29
c.
>4
21
30.88
Number of Cattle (AU) a.
5
9
13.24
Rohaeni et al.
Page 11
From the results of study, it is obtained that the age of
the learning process and knowledge possessed by the
most farmers is included in the productive age (20-60
respondent farmers will relatively increase.
years old), equal to 88.24 % and the remaining 11.76 % is elderly (over 60 years old) ranging from 25 to 70
Land is one of the important capitals in doing
years old (Table 2). The number of farmers included
farming, belonging to one of production factors. Land
in the productive age shows a positive thing, meaning
is the physical resources that have a very important
that farming is still favored and becomes the major
role for farmers. The results of this study show that
work. The productive age group is still potential to
the land area owned by farmers is mostly above 1 ha,
develop themselves and develop their farming. Age is
owned by 95.59 % farmers, and the remaining 4.41%
one of the important characteristics of farmers,
farmers own below 1 hectare land area. The largest
because age has a relationship to experience, work
area of land owned by farmers is between
ability, and psychological maturity. Farmers having
hectare/household (Table 2). Land area owned by
older age possess more experiences and they are
farmers in this study is relatively broader compared
psychologically mature.
By this condition, it is
to farmers in Central Lombok as reported by Puspadi
assumed that farmers would master how to manage
et al. (2012), i.e. the average of 0.39 hectare with a
their works.
range between 0.20 to 2.00 hectare.
The education level of respondent farmers is still
The largest household members range from 3-4
categorized low, as shown by farmers who do not
people/household,
study at schools (2.94%) and most of them are in the
household
level of elementary school (45.59%) and junior high
activities, labors from outside the family are still
school (32.35%) (Table 2).
It indicates that the
required. If family labors are available, in general,
dominant level of education of farmers is elementary
farmers only utilize women labor (mother or wife) in
school, thus, the behavior and procedures in
families to help the farming, while child labors are not
managing their farming are relatively simple. The low
highly utilized although they are above 15 years old
level of farmers’ education in Indonesia describes the
since the study. The result of study conducted by
low ability of farmers to send their children to schools
Ilham et al. (2007) states that from the results of
and education has not been given priority.
It is
agricultural census of 2003, there were 45-85% of
The low
families having about 3-4 people of household
education level of farmers is feared to degrade the
members. This fact indicates that farmers’ family are
quality of agricultural sector as farmers are not
concerned with their quality of life.
responding to the demands of market (Harijati,
members can help in doing production activities to
2007). Education serves as a process to explore and
meet the needs of life and become potential sources of
control the existing potential to be developed and
family labor for beef cattle raising. Labor availability
utilized for the improvement of life quality (Tilaar,
definitely influences the success of farming systems.
1997).
From research conducted in Central Kalimantan, it is
probably caused by limited income.
that is 60.29% (Table 2).
members
found that the
are
involved
in
1-2
If
farming
Household
average of family labors are 5.30
The range of experience of the respondent farmers is
people with a range of 3 to 11 people per farmer
between 2-44 years, and the largest percentage of
household.
farmers’ experience is in the range of 10-20 years,
manpower is available for farmer households (Utomo
which are equal to 41.180% farmers. Total farmers
et al., 2004). Based on several research, it is stated
whose experience is over 10 years are 64.710%
and
that household members are getting smaller, this
the remaining are 35.29% with under 10-year
indicates that family labors that can be utilized are
experience (Table 2). Experience is one way to learn
also limited,
The condition indicates that sufficient
therefore, it is needed labors from
and find knowledge, therefore, by a lot of experiences,
Rohaeni et al.
Page 12
outside or the development of use of agricultural
factor indicates that this indicator is as the strongest
mechanization.
(dominant) variable gauge.
The number of cattle raising, mostly between 4-5 AU/
Based on the analysis, it is obtained that all the
household is 47.06% and below 4 Animal Unit (AU) is
resources used in this study have P-value