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Table 1 Descriptive statistics of fish processors in Mangochi and Salima districts in Malawi

From: Gender differences in willingness to pay for capital-intensive agricultural technologies: the case of fish solar tent dryers in Malawi

Variable Female (n = 220) Male (n = 162) Whole sample (n = 382)
Mean Std. dev. Mean Std. dev. Mean Std. dev.
Dependent variables
 Level of WTP (MK) 15,379.55 19,906.70 16,990.88 19,119.52 16,062.88 19,567.59
 Willing to pay (1/0) 0.76 0.43 0.72 0.45 0.74 0.44
Explanatory variables
 Age (years) 37.482 11.095 37.815 10.440 37.623 10.809
 Married (1/0) 0.768 0.423 0.877 0.330 0.814 0.390
 Education attainment (count) 2.723 1.098 3.259 1.214 2.950 1.177
 Processing site market (1/0) 0.086 0.282 0.074 0.263 0.081 0.273
 Local market (1/0) 0.050 0.218 0.062 0.241 0.055 0.228
 Distant market (1/0) 0.836 0.371 0.858 0.350 0.846 0.362
 Own savings account (1/0) 0.359 0.481 0.370 0.484 0.364 0.482
 Knowledge 0.159 0.367 0.123 0.330 0.144 0.352
 Self-income decisions (1/0) 0.345 0.477 0.525 0.501 0.421 0.494
 ln (fishing assets) 2.266 4.986 3.490 5.920 2.785 5.428
 ln (processing assets) 8.259 3.619 7.253 5.127 7.832 4.345
 Madzedze 0.427 0.496 0.154 0.362 0.312 0.464
 Malembo 0.173 0.379 0.352 0.479 0.249 0.433
 Msaka 0.309 0.463 0.160 0.368 0.246 0.431
 Chikombe 0.005 0.067 0.136 0.344 0.060 0.238
 Lifuwu 0.086 0.282 0.198 0.399 0.134 0.341
  1. Source: computed by the authors