Table 5.

AME of resource availability across all public health facilities on pharmacy practices using different radii

	(1)	(2)	(3)	(4)	(5)
	Customers advised on medicine use	Customers given injections	Customers administered IV fluids	Branded medicine share	Branded generics share
	Rural: 3 km
Availability of workers	0.084	−0.198***	−0.052	−0.000	0.001***
	(0.233)	(0.059)	(0.083)	(0.001)	(0.000)
Availability of medicines	−0.048	−0.209***	−0.137***	−0.000	0.000*
	(0.083)	(0.053)	(0.051)	(0.001)	(0.000)
Observations	383	383	383	383	383
	Rural: 2 km
Availability of workers	0.379*	−0.144	−0.046	0.001	0.000
	(0.197)	(0.090)	(0.076)	(0.001)	(0.000)
Availability of medicines	−0.062	−0.111*	0.011	−0.000	0.000
	(0.107)	(0.059)	(0.069)	(0.001)	(0.000)
Observations	335	335	335	335	335
	Rural: 4 km
Availability of workers	0.051	−0.159*	−0.063	−0.000	0.001*
	(0.161)	(0.094)	(0.078)	(0.001)	(0.000)
Availability of medicines	−0.149	−0.096	−0.185***	0.001	0.001
	(0.143)	(0.071)	(0.046)	(0.001)	(0.000)
Observations	362	362	362	362	362
	Urban: 3 km
Availability of workers	−1.015*	0.168***	0.012***	0.003	0.000
	(0.553)	(0.047)	(0.000)	(0.003)	(0.001)
Availability of medicines	−0.135	0.037	0.014***	−0.001	0.001
	(0.178)	(0.023)	(0.000)	(0.002)	(0.001)
Observations	166	166	166	166	166
	Urban: 2 km
Availability of workers	−0.066	0.101*	0.009***	0.001	0.000
	(0.089)	(0.060)	(0.001)	(0.001)	(0.001)
Availability of medicines	−0.312*	0.019	0.007***	−0.001	0.001
	(0.161)	(0.036)	(0.001)	(0.002)	(0.001)
Observations	148	148	148	148	148
	Urban: 4 km
Availability of workers	−0.226	0.227**	0.028***	0.002	−0.000
	(0.177)	(0.099)	(0.001)	(0.002)	(0.001)
Availability of medicines	0.120	0.198***	0.033***	−0.004***	0.002***
	(0.375)	(0.053)	(0.001)	(0.001)	(0.000)
Observations	181	181	181	181	181

Note(s): All regressions include block fixed effects and controls for pharmacy characteristics such as registration status, hours the store is open in a week, number of employees, number of customers in a week and number of other pharmacies in the 3-km circle around the pharmacy. Robust standard errors in parentheses, clustered at the district level.

^***indicates significance at 1% level.

^**at 5% level.

^*at 10% level.

The number of pharmacies in the 4-km circle is less than the number in the 3-km circle because we dropped an additional block due to the lack of within-block variation in the independent variables to allow for the inclusion of block-level fixed effects.