Table 7

Logistic Regression of Socio-economic Factors. WTP (coded as 1 for willing to pay and 0 for not willing to pay) was the response variable. The explanatory variables were involvement in fishing (coded as 1 for no 0 for yes), involvement in sand harvesting (coded as 1 for no 0 for yes), farming next to the lake (coded as 1 for no 0 for yes), monthly income (coded as 1 for > KES10,000 and 0 for < KES10,000) access to grazing land near the lake (coded as 1 for no 0 for yes) carrying out petty trade along the lake (coded as 1 for no 0 for yes) and owning business next to the lake (coded as 1 for no 0 for yes).

–2 Log likelihood Cox & Snell R Square Nagelkerke R Square



440.427a 0.209 0.282
Socio-economic Factors B S.E. Wald df Sig. Odds Ratio
Involved in fishing (1) –1.179 0.326 13.076 1 0.000 0.308
Farm on land near Lake Victoria (1) –0.946 0.315 8.994 1 0.003 0.388
Access to grazing land near Lake Victoria (1) –1.093 0.257 18.026 1 0.000 0.335
Petty trading (1) 0.630 0.659 0.915 1 0.339 1.877
Any business around Lake Victoria (1) –1.145 0.279 16.794 1 0.000 0.318
Sand harvesting (1) 0.301 0.610 0.244 1 0.621 1.351
Monthly income (1) 1.152 0.264 19.059 1 0.000 3.165
Constant 0.271 0.722 0.141 1 0.708 1.311

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