determinants of market participation by smallholder cattle farmers and the institutional constraints...
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Determinants of market participation by smallholder cattle
farmers and the institutional constraints to market
participation in Botswana: Case study of Kweneng West
Kgosikoma R.K. and Malope, P.
Conference on Policies for Competitive Smallholder Livestock Production
Gaborone, Botswana, 4-6 March 2015
Introduction
Livestock production in Botswana
accounts for over 80% of agricultural
GDP.
The beef sector dominates livestock
sector in terms of both output and
employment.
The communal grazing system
accounts for 88% of the national herd
(Statistics, Botswana, 2012).
Introduction
However, the off-take rates in
communal areas through formal
markets remain relatively low at 8.26%
compared to 15.79% from commercial
farming.
Low off-take rates attributed to:
◦ Alternative income sources
◦ Institutional constraints
◦ Transaction costs
◦ Availability of marketable surplus
Introduction
Marketing channels:
◦ formal (butcheries, BMC)
◦ Informal (sale to individuals for home
ceremonial purposes)
Constraints to formal market
participation for smallholder farmers:
◦ Socio-economic
◦ Technical
◦ Institutional
Methods
Study area: Kweneng West◦ Main economic activity: livestock farming
◦ 8 livestock extension areas
Study design: cross sectional survey using the face-to-face administration method.
Sampling: multi-stage sampling procedure used to select a sample of 132 livestock farmers in the KwenengWest sub-district.
Data collection: 3-part structured questionnaires.
Theoretical Framework
Following Uchezumba et. al. (2009) and Gujarati (2003), a logistic regression model is specified as:
𝑃𝑖 = 𝐸 𝑌𝑖 = 1 𝑋𝑖 =1
1+𝑒− 𝛼𝑖+ 𝑖=1
𝐾 𝛽𝑖𝑋𝑖(1)
◦ Pi is the probability of household iparticipating in the market for cattle.
◦ Yi is the level of participation household i.
◦ Xi is a set of explanatory variables influencing the participation of household i in the cattle market.
◦ βi’s are the parameters to be estimated.
Empirical Model
The empirical model, with the explanatory variables selected based on theory, is presented as:
ln 𝑃𝑖 1 − 𝑃𝑖 = 𝛽0 + 𝛽1𝐻𝐸𝑖 + 𝛽2𝑇𝐶𝑖 + 𝛽3𝐻𝐶𝑖 + 𝛽4𝑆𝑆𝑖(9)
◦ household endowment (HE) variables,
◦ transaction costs (TC) variables,
◦ household characteristics (HC) variables,
◦ Supply shock (SS) variable.
ResultsTable 1: Summary Statistics of the Explanatory
Variables Variable Mean Minimum Maximum Std. Dev.
Household endowment
ARAB
HERD
NONFARMINC
OWNTRANS
SMLSTCK
10.18
57.36
0.856
0.379
0.583
0
2
0
0
0
70
979
1
1
1
10.26
99.06
0.352
0.487
0.495
Transaction costs/ Information
Access
DISTMKT
DISTRD
PRICEINFO
MRKTNCRS
124.23
14.15
0.735
0.053
1
0
0
0
390
120
1
1
123.38
15.22
0.443
0.225
Household characteristics
GENDER
HHSIZE
AGEHH
EDU
YRSFARM
CROPS
0.818
3.33
56.40
2.20
2.62
0.614
0
1
32
1
1
0
1
11
89
7
3
1
0.387
1.94
14.46
1.77
0.648
0.489
Market Shock
DIED 4.57 0 30 5.55
Dependent Variable
CTSOLD12 0.818 0 1 0.387
Results
Table 2: Factors Influencing Participation in the Cattle
Market
Variable Parameter Estimate Odds Ratio
AGEHH -0.065 (0.033)** 0.937
EDU
None (reference)
Some primary
Diploma
Other
-2.754(1.249)**
-7.107 (3.676)*
-3.614 (2.063)*
0.064
0.0008
0.027
CROPS 1.855 (0.849)** 6.390
HERD 0.022 (0.013)* 1.022
DISTMKT 0.007 (0.003)** 1.007
PRICEINFO 1.570 (0.748)** 4.806
MRKTCRS -3.300 (1.608)** 0.037
DIED 0.232 (0.126)* 1.261
CONSTANT 2.177 (2.400)
Institutional Constraints
Table 3: Institutional Constraints to Market Participation
Table 4: Frequency of Difficulties in Meeting BMC
RequirementsFrequency/Variabl
e
Bolus DVS-permit Police Permit BMC Quota Total
More frequent 7 1 2 4 14
Frequent 6 5 6 0 17
Less frequent 21 12 10 0 43
Total 34 18 18 4 74
Conclusions
Important determinants of cattle market participation: age, education, mixed cropping, herd size, distance to the market, access to price information and market shock.
Bolus requirement most problematic institutional constraint.
Farmers advocate for efficiency in the provision of services to meet institutional requirements in cattle markets.
Recommendations
Continued investment in agricultural
youth programs.
Mixed agricultural practices should
also be encouraged.
Publishing agricultural commodity
prices by the Ministry of Agriculture
and cattle marketing channels should
be maintained.
Efficient service provision in the
supply and use of cattle identification
devices.