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Table 3 Relationship between sales volume, price and outlet characteristics

From: The association between price, competition, and demand factors on private sector anti-malarial stocking and sales in western Kenya: considerations for the AMFm subsidy

Theme

Variable

SP

AL

Quinine

Unadjusted effect size (p)

Adjusted effect size (p)

Unadjusted effect size (p)

Adjusted effect size (p)

Unadjusted effect size (p)

Adjusted effect size (p)

Price

Log price

-0.78 (0.002)

-0.92 (0.000)

-0.59 (0.02)

-0.44 (0.19)

-0.34 (0.02)

-0.29 (0.15)

Size

Number of staff

0.24 (0.25)

0.43 (0.06)

0.12 (0.51)

0.27 (0.09)

0.09 (0.48)

0.11 (0.55)

Quality

Pharmacist on staff

-0.02 (0.95)

-1.15 (0.08)

0.40 (0.24)

1.06 (0.22)

0.36 (0.11)

0.15 (0.78)

Nurse on staff

-0.49 (0.08)

-1.57 (0.02)

0.040 (0.92)

0.69 (0.48)

-0.24 (0.29)

-0.5 (0.92)

Untrained staff dispensing medicine

0.67 (0.05)

-0.47 (0.32)

-0.13 (0.76)

0.16 (0.84)

-0.09 (0.73)

-0.19 (0.66)

Competition

Number of neighbours within 1 km

0.03 (0.46)

0.05 (0.22)

-0.06 (0.15)

-0.04 (0.33)

0.004 (0.88)

0.002 (0.96)

Nearest govt. facility within 1 km

-0.02 (0.95)

-0.13 (0.64)

0.53 (0.14)

0.38 (0.21)

0.39 (0.08)

0.26 (0.37)

Nearest neighbour has subsidized AL

0.5 (0.86)

0.29 (0.51)

-0.09 (0.34)

-1.09 (0.06)

0.31 (0.94)

0.04 (0.04)

Demand

Household density

0.01 (0.198)

-

0.002 (0.88)

-

-0.002 (0.68)

-

Fever density

0.053 (0.089)

-

0.03 (0.59)

-

-0.007 (0.76)

-

Fever prevalence in households

2.4 (0.59)

-

15.1 (0.14)

-

-0.51 (0.90)

-

Density of cash crop farming

0.01 (0.76)

 

0.016 (0.77)

 

-0.03 (0.11)

 

Acres of land owned

0.002 (0.40)

 

0.01 (0.45)

 

-0.003 (0.33)

 

Head education

0.004 (0.18)

 

0.002 (0.83)

 

-0.001 (0.73)

 

n = 26 for geographic variables

n = 11 for geographic variables

n = 30 for geographic variables