Measuring heterogeneous preferences for cattle traits
among cattle-keeping households in East Africa.
by Ouma, Emily^Abdulai, Awudu^Drucker, Adam
The estimates are validated using the household-level survey data
and past studies. Estimates of willingness to pay (WTP) for traits
parameters indicate that a trypanotolerant animal is valued at U.S. $25
more than a trypano-susceptible one. According to the survey data, the
average cost of treatment or control of trypanosomosis per year per herd
varies from U.S. $6 to U.S. $37 in Ethiopia, while in Kenya it is an
average of U.S. $36 in crop-livestock systems but can be as high as U.S.
$219 in pastoral systems, depending on the herd size and number of
treatments per year. The choice experiment estimate of U.S. $25,
therefore, appears plausible, although more information can be gained by
assessing the distribution of the estimate in the population. An
adaptive bounded kernel density approach has been utilized to examine
the distribution of the WTP for the various traits that have values that
are inherently bounded from below by zero. We employ Gaussian kernels
with variable-bandwidth density estimator that supports boundary
correction for variables with bounded domain (Jann 2005). (11) However,
WTP trait values for traction potential may plausibly take positive and
negative values, since it is a highly valued trait in cropping systems,
yet most pastoral communities view use of cattle for draft power as a
taboo and therefore exhibit negative preference for the trait.
Similarly, cattle keepers have a negative preference for cows that
require supplementary purchased feeds to boost milk production. This is
probably because most of the systems in the study area are subsistence
and not market oriented and additional costs associated with production
result in a decrease in utility. These distributions are presented in
figure 1. The distribution of WTP values for trypanotolerance presented
in figure 1(a), shows a bimodal distribution having two peaks at U.S.
$19 and 36. This indicates presence of heterogeneity in trypanotolerance
trait valuations. Although little is reported in the literature about
valuation of trypanotolerance using stated preference methods, Tano et
al. (2003) show that disease resistance can be ranked very highly under
production systems of similar types to those covered in this study.
The kernel density plot in figure l(b) for traction potential also
provides evidence of heterogeneous preferences for traction potential in
bulls, indicated by the substantial negative values and the bimodal
distribution density having two peaks above zero. The mean of the WTP
distribution is U.S. $58 for a bull with good traction potential. This
finding is consistent with the finding by Tano et al. (2003) who found
that fitness to traction was the highest ranked trait for bulls in West
Africa.
[FIGURE 1 OMITTED]
Live-weight increase, which is associated with meat production, is
valued at U.S. $1.05 per kg. This is comparable to the average slaughter
weight value of U.S. $1.02 per kg found in Scarpa et al. (2003) for a
pastoral system in Kenya. A bull that needs to be watered only once
every two days, used as a proxy for drought tolerance, is valued at U.S.
$7 more than one that needs to be watered twice per day. This is not
surprising, since water is a constraint in the study areas especially
during the dry seasons. The trait is, however, not significant for cows.
The kernel density distribution of WTP values for low watering frequency
in figure l(c), is tight with values concentrated around the mean,
indicating homogeneity in preference for this trait.
An important attribute in cows is the ability to calve every year
instead of once in two years. The Zebu cattle breeds, kept by most of
the respondents in the study sites, tend to have relatively longer
calving intervals of about 1.8 years. A calving interval trait of one
year is valued at U.S. $9.4, which is even higher than the value of U.S.
$8.1 for a cow with high milk production. The kernel density
distribution of WTP for reproduction ability in figure 1 (f), indicates
large variance for positive values. The value of purchased supplementary
feeds for cows that cattle keepers would be willing to accept as
compensation for utility reduction is U.S. $10.7. Cattle keepers are
reluctant to raise cows requiring purchased supplementary feeds to boost
milk production. Due to scarce financial resources, the cattle keepers
prefer cattle that do not require externally acquired inputs. The kernel
distribution associated with the implicit price for supplementary feeds
in figure 1(d), has a mean substantially in the negative range
indicating significant aversion to this trait, though there is a small
fraction in the positive orthant.
The maximum likelihood estimates for the latent class model for
cows and bulls are reported in tables 6 and 7. To identify the number of
latent classes to be used in the analysis, we employed the Bayesian
Information Criterion (BIC) proposed by Boxall and Adamowicz (2002).
This criterion is low and more intuitive for the model with three
classes for bulls and cows. (12) Therefore, we estimated three-class
latent class model (LCM) for cows and bulls. The LCM results indicate
significant heterogeneity in preferences across latent classes as
revealed by the differences in magnitude and significance of the utility
function parameter estimates. For instance, table 6 indicates strongly
positive trypanotolerance trait coefficient for class 3 in comparison to
the other two classes while the traction coefficient is strongly
positive for class 1. The class membership coefficients for the third
class were normalized to zero in order to be able to identify the
remaining coefficients of the model. The class membership coefficients
for bulls and cows estimations indicate that the probability of being in
a class is significantly related to the cattle keepers' production
system. Table 6 shows that 54% of the respondents who participated in
the choice experiment for bulls have a fitted probability to belong to
class 1, which is strongly significant for agro-pastoralists. On the
other hand, 19% and 27% of the respondents have a fitted probability to
belong to class 2 and 3, respectively. Class 2 membership coefficients
indicate that members of this class are likely to be pastoralists,
younger household heads with low levels of education and high income
relative to class 3. Class 3 could subjectively be associated with
crop--livestock farmers. Class 1 for cow traits in table 7 is strongly
significant for agro-pastoralists while class 2 is significant for
crop--livestock farmers, who have a lower income, relative to class 3,
and practice some tsetse fly control measures to control trypanosomosis.
Class 3 could subjectively be associated with being a pastoralist.
Calculations of implicit prices of the traits across the latent
classes show marked differences in preference structure as presented in
table 8. Cattle keepers in class 1 attach a high value to good traction
potential in bulls, which is even higher than the value they attach to
trypanotolerance and high fertility in bulls. This is not totally
unexpected since agro-pastoralists, the most likely members of this
class, consider draft power capacity in bulls for ploughing and
threshing grains an important reason for keeping cattle. This is further
supported by the fact that their cattle herd contains more males
(average of 2.2) than females (average of 1.7). Reproductive potential
in cows is also an important trait for this class, while milk production
is not statistically significant, suggesting that the trait is not
important for this class.
Class 2, mainly associated with pastoralists (for bull traits),
exhibits a different preference structure from the other two classes. In
this class, high fertility in bulls is a highly valued trait, while
trypanotolerance and live-weight have the same weight. Traction fitness
is not highly valued in this class, a finding that is in line with
expectations, since pastoralists do not use cattle for traction. They
are more concerned with obtaining larger herd sizes, which is linked to
high fertility trait in bulls. This class is also associated with
crop-livestock farmers for cow traits who exhibit negative preferences
for cows that need supplementary purchased feeds. High milk production
is an important trait for this class, though reproduction potential was
not found to be significant. Class 3, comprising mainly the
crop-livestock farmers (for bull traits), displays a high-preference for
trypanotolerant animals and bulls with good traction potential. High
fertility in bulls is not a significant trait in this class. In this
system, bulls are used for ploughing crop fields. For cows, high milk
yield and high reproduction potential are valued by the pastoralists.
Conclusions
This article has employed mixed logit and latent class models to
examine farmers' preferences for cattle traits in Kenya and
Ethiopia, using choice experiment data for bulls and cows. The empirical
results provide several insights to understanding cattle keepers'
choice behavior. The results from the mixed logit model revealed
significant preference heterogeneity among cattle owners, based on the
environment and production system. Good traction potential, fertility,
and trypanotolerance were found to be the most preferred traits in the
model of bull preferences. The most valued traits in the cow preference
models were trypanotolerance and reproductive performance.
COPYRIGHT 2007 American Agricultural Economics
Association Reproduced with permission of the copyright holder. Further reproduction or distribution is prohibited without permission.
Copyright 2007, Gale Group. All rights
reserved. Gale Group is a Thomson Corporation Company.
NOTE: All illustrations and photos have been removed from this article.