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Consumption Preference and Willingness to Pay for Locally Produced Rice in Namibia: Implications for Upscaling Production Cover

Consumption Preference and Willingness to Pay for Locally Produced Rice in Namibia: Implications for Upscaling Production

Open Access
|Feb 2025

Figures & Tables

Fig. 1.

Namibia’s rice imports in quantity (left) and value (right)

Source: Own computations with data from: https://www.fao.org/faostat/en/#data/TCL

Fig. 2.

Classification framework for methods used to measure willingness to pay

Source: Breidert et al., 2006.

Fig. 3.

Map of Omusati region

Source: https://www.researchgate.net/figure/A-map-of-Omusati-Region-and-its-constituencies-Source-National-Remote-Sensing-Centre_fig2_325879438

Table 1.

Tastic rice prices from different shops in Northern Namibia

Shop namePrice (N$/kg)Average price (N$/kg)
Woermann Brock24.4922.98
Shoprite22.99
Choppies22.95
Pick N Pay21.49

1 Source: survey data.

Table 2.

Socioeconomic and demographic characteristics

VariableCharacteristicsConsumer (%) n=105
Genderfemale66.7
male33.3
Age26-3524.8
36-458.6
46-559.5
56 and above1.0
below 2556.2
Marital statusdivorced1.0
married15.2
single83.8
Level of educationnone2.9
primary1.0
secondary25.7
tertiary67.6
vocational2.9
Working statusstudent63.8
unemployed13.3
working full-time20.0
working part-time2.9
Range of monthly income (N$)less than 2,50083.8
more than 17,5003.8
10,001–17,5003.8
2,501–10,0008.6
Rice consumption pattern2–4 times a month14.3
2–4 times a week36.2
daily12.4
once a month6.7
once a week23.8
rarely6.7
Knowledge of any locally produced riceno52.4
yes47.6

1 Source: survey data.

Table 3.

Descriptive summaries of consumer’s general preference for local rice and imported rice

GroupsCountSumMeanVariance
Tastic (A)105713.86.7980952383.91807326
Irriga (B)105582.25.5447619055.38884249
Supa (C)105528.85.0361904765.47290842
         ANOVA
Source of variationSSdfMSFP-valueF crit
Between groups172.6829206286.3414603217.52553870.000000063.02468142
Within groups1537.1017143124.926608059
Total1709.784635314

1 Source: survey data.

Fig. 4.

Mean preference ranking comparison of the various uncooked rice types

Source: survey data.

Table 4.

Consumer’s preference for intrinsic attributes of cooked and uncooked local and imported rice

Uncooked rice
AttributeTastic AIrriga BSupa Cp-value
Smell/fragrance/aroma6.526.095.050.000046
Size of grain7.105.595.450.0000000939392
Shape of kernel6.765.795.450.0001
Colour of rice6.676.295.560.0052
Texture/feel6.986.255.740.000315623
Cooked Rice
AttributeTastic AIrriga BSupa Cp-value
Smell/fragrance/aroma6.516.615.420.00459
Taste6.856.615.080.000000751259
Shape of kernels6.936.125.240.000
Stickiness6.766.464.810.000
Swelling capacity6.976.465.640.000585688
Colour of rice6.897.116.380.00342

1 Source: survey data.

Table 5.

Extrinsic quality attributes that consumers consider important when buying rice and Kendall’s W

Rice attributes (N = 105)Mean RankRank
Taste7.51
Price7.462
Swelling capacity6.93
Promotion6.824
Stickiness6.755
Brand6.66
Shape6.57
Label6.48
Packaging6.389
Texture6.3210
Smell/aroma/fragrance6.1811

1 N = 105; Kendall’s W = 0.061, Chi-square = 64.216, Degree of freedom = 10, P-value = 0.001.

1 Source: survey data.

Table 6.

Descriptive statistics for WTP for local and imported rice

Sample of rice typeM ± SDF-statisticP-value
Uncooked riceA (Tastic)28.68 ±24.42
B (Irriga)25.98 ±18.065.320.0054
C (Supa)20.05 ±10.11
Cooked riceA (Tastic)25.45 ±18.47
B (Irriga)23.70 ±11.118.320.00037
C (Supa)18.03 ±9.56

1 Source: survey data.

Table 7.

Multiple comparisons of means for WTP – Tukey HSD

Group1Group2Mean diffp-adjLowerUpperReject
Uncooked riceAB–2.70070.5635–8.92523.5237False
AC–8.62750.0043–14.9691–2.2859True
BC–5.92680.0744–12.29860.445False
Cooked riceAB–1.74450.6452–6.34682.8579False
AC–7.42010.0004–11.9522–2.8876True
BC–5.67560.0108–10.2669–1.0842True

1 Source: survey data.

Table 8.

Model fitting information WTP

ModelModel fitting criteria
-2 Log LikelihoodChi-squaredf
Intercept only215.680
Final186.12829.55222
Goodness-of-Fit
Chi-squaredfSig.Pseudo R-square
Pearson189.7501780.2600.279N
Deviance182.6161780.391

1 Source: survey data.

Table 9.

Parameter estimates for willingness to pay

Predictor variablesBStd. ErrorWaldp-valueExp(B)
Rice BIntercept0.2911.2400.0550.814
smell–0.0760.1280.3540.5520.927
texture0.0200.1370.0200.8871.020
taste–0.1990.1861.1410.2850.820
shape–0.0820.1840.2000.6550.921
stickiness–0.1490.1620.8470.3570.862
swelling capacity0.2560.1831.9540.1621.291
packaging0.0840.1550.2970.5861.088
brand0.1260.1720.5310.4661.134
label–0.1560.1391.2670.2600.855
price–0.1480.1750.7160.3980.862
promotion0.2430.1432.8660.0901.275
Rice CIntercept2.0411.1723.0320.082
smell0.0010.1680.0000.9971.001
texture0.1220.1760.4790.4891.129
taste0.0200.1870.0120.9141.020
shape–0.0290.2150.0180.8930.971
stickiness–0.0330.1910.0310.8610.967
swelling capacity–0.3290.1773.4720.0620.719
packaging–0.1650.1900.7560.3850.848
brand0.1060.1940.3020.5821.112
label0.0920.1800.2630.6081.096
price–0.5010.2095.7300.0170.606
promotion0.3290.1902.9860.0841.389

1 Source: survey data.

DOI: https://doi.org/10.17306/j.jard.2025.00013r1 | Journal eISSN: 1899-5772 | Journal ISSN: 1899-5241
Language: English
Page range: 1 - 16
Accepted on: Dec 19, 2024
Published on: Feb 25, 2025
Published by: Poznań University of Life Science
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Cecil Togarepi, Martha Hangula, Kunda Kalimbwe, Benisiu Thomas, published by Poznań University of Life Science
This work is licensed under the Creative Commons Attribution 4.0 License.