Socio-Economic Drivers of Fish Species Consumption Preferences in Kenya’s Urban Informal Food System
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Sample Size Determination and Sampling
- p = share of population of interest (;
- q = weighting variable (;
- z = confidence level (;
- E = acceptable error (.
2.3. Data Collection and Analysis
2.4. Econometric Model
3. Results
3.1. Consumer Preferences for Fish Species
3.2. Determinants of Household Preference for Fish Species
4. Socio-Economic Factors Influencing Fish Consumption in Kibera
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Tribe | % Composition by Gender | |
---|---|---|
Male | Female | |
Luo | 34.9 | 35.4 |
Luyia | 26.5 | 32.5 |
Nubian | 11.6 | 9.1 |
Kikuyu | 7.9 | 6.4 |
Kamba | 7.5 | 10.3 |
Kisii | 6.4 | 2.2 |
Other tribes | 5.2 | 4.1 |
Total | 100 | 100 |
Socio-Economic Characteristics | Mean | Standard Deviation |
---|---|---|
Gender of household head (1 = male) | 0.3006 | 0.4591 |
Education level of household head (0 = none to 5 = college/ university) | 3.2865 | 1.2297 |
Age of household head (years) | 41.2163 | 12.6721 |
Number of dependent in a household | 5.0449 | 2.2236 |
Total monthly household income (in KES (Kenya shillings)) | 13,219.2100 | 10,356.5800 |
Institutional characteristics | ||
Neighbourhood effect (% of neighbours from the same tribe) | 46.3118 | 26.8734 |
Number of fish outlet with 100 m radius | 5.7416 | 4.7886 |
Migration to Kibera (1 = lived in Kibera since birth) | 0.1713 | 0.3773 |
Tribal origin (1 = western Kenya, 0 = others) | 0.7753 | 0.4180 |
Culture influence of food choices (%) | 43.6798 | 30.2607 |
Religion influence on food choices (%) | 9.1320 | 19.8869 |
Decision makers on fish (female household head) | 0.7388 | 0.4399 |
Decision makers on fish (male household head) | 0.2079 | 0.4064 |
Decision makers on fish (other household members) | 0.0534 | 0.2251 |
Dietary knowledge index (composite score of between 1 and 45) | 30.0618 | 3.4619 |
Price sensitivity (Likert 1 = not important to 5 = very important) | 4.4635 | 0.9619 |
Fish Species | Mean Price EUR (KES) * | Standard Deviation |
---|---|---|
Nile tilapia | 3.77 (374.11) | 106.29 |
African catfish | 3.11 (308.33) | 78.54 |
Lake Victoria sardine | 1.58 (157.36) | 41.73 |
Common carp | 2.76 (274.29) | 80.59) |
Nile perch | 3.42 (339.02) | 131.91 |
Other fish | 2.51 (249.09) | 89.49 |
Nile Tilapia | Lake Victoria Sardine | Nile Perch | |
---|---|---|---|
Lake Victoria sardine | −0.2435 *** (0.0985) | ||
Nile perch | −0.3674 *** (0.0950) | −0.1626 (0.09778) * | |
Other fish species | 0.2453 * (0.01260) | 0.0843 (0.1378) | 0.1290 (0.1171) |
Likelihood ratio test 39.0199 Prob x2 > p = (0.0000) | |||
Number of observations 356 | |||
Log likelihood −658.8552 | |||
Wald x2 (60) = 109.99, p-value = (0.0001) |
Nile Tilapia | Lake Victoria Sardine | Nile Perch | Other Fish Species | |||||
---|---|---|---|---|---|---|---|---|
Coef. | Std. Err. | Coef. | Std. Err. | Coef. | Std. Err. | Coef. | Std. Err. | |
Socio-economic characteristics | ||||||||
Gender of household head (1 = male) | −0.2603 | 0.1785 | 0.1498 | 0.1910 | 0.1698 | 0.1878 | −0.0524 | 0.2531 |
Education level of household head | 0.0676 | 0.0702 | 0.0087 | 0.0741 | 0.0426 | 0.0723 | 0.0005 | 0.1065 |
Age of household head | 0.0018 | 0.0073 | −0.0109 | 0.0078 | −0.0085 | 0.0078 | −0.0144 | 0.0106 |
Number of dependent in a household | −0.0364 | 0.0367 | 0.1047 *** | 0.0397 | 0.0446 | 0.0376 | −0.0268 | 0.0510 |
Total household income | 0.1986 * | 0.1069 | −0.1763 | 0.1124 | 0.2281 ** | 0.1135 | 0.0902 | 0.1507 |
Institutional characteristics | ||||||||
Neighbourhood effect | 0.0024 | 0.0029 | 0.0040 | 0.0030 | −0.0050 * | 0.0029 | 0.0018 | 0.0040 |
Number of fish outlet with 100 m radius | −0.0034 | 0.0164 | 0.0472 ** | 0.0206 | 0.0076 | 0.0162 | 0.0282 | 0.0209 |
Migration to Kibera (1 = lived in Kibera since birth) | 0.5428 | 0.2249 | −0.4602 | 0.2061 | 0.0456 | 0.2103 | −0.0599 | 0.2838 |
Tribal origin (1 = western Kenya, 0 = others) | 0.2922 ** | 0.1897 | 0.3388 ** | 0.1933 | 0.0083 | 0.2017 | 0.2369 | 0.2803 |
Culture influence of food choices | 0.0008 | 0.0027 | 0.0059 ** | 0.0028 | 0.0001 | 0.0028 | −0.0056 | 0.0041 |
Religion influence on food choices | 0.0070 | 0.0042 | 0.0045 | 0.0041 | −0.0058 | 0.0043 | −0.0168 *** | 0.0045 |
Decision makers on fish (Female = base category) | ||||||||
Male decision makers | 0.1770 | 0.1981 | 0.1887 | 0.2064 | −0.1502 | 0.1987 | 0.1583 | 0.2500 |
Other household members decision makers | 0.4792 | 0.3390 | −0.1774 | 0.3301 | −0.3965 | 0.3805 | 0.7113 * | 0.3893 |
Dietary knowledge index | −0.0038 | 0.0214 | 0.0074 | 0.0220 | −0.0394 * | 0.0219 | 0.0376 | 0.0334 |
Price sensitivity | 0.1386 * | 0.0757 | −0.1409 * | 0.0852 | 0.0078 | 0.0764 | −0.0294 | 0.1019 |
Constant | −2.3817 | 1.2877 | 1.5954 | 1.3210 | −1.4792 | 1.3175 | −2.9448 | 1.9043 |
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Ayuya, O.I.; Soma, K.; Obwanga, B. Socio-Economic Drivers of Fish Species Consumption Preferences in Kenya’s Urban Informal Food System. Sustainability 2021, 13, 5278. https://doi.org/10.3390/su13095278
Ayuya OI, Soma K, Obwanga B. Socio-Economic Drivers of Fish Species Consumption Preferences in Kenya’s Urban Informal Food System. Sustainability. 2021; 13(9):5278. https://doi.org/10.3390/su13095278
Chicago/Turabian StyleAyuya, Oscar Ingasia, Katrine Soma, and Benson Obwanga. 2021. "Socio-Economic Drivers of Fish Species Consumption Preferences in Kenya’s Urban Informal Food System" Sustainability 13, no. 9: 5278. https://doi.org/10.3390/su13095278