Tourism levy collection for ‘Marketing South Africa’

Figures & data

Table 1. Population and sample size.

Strata	Population	Proportional sample
Backpackers	4	1
Bed and breakfast	94	33
Caravan and camping	5	2
Guesthouse	323	114
Hotels	166	59
Lodge	60	21
Self-catering	52	18
Total	704	249

Source: Authors.

Table 2. Cross-tabulation between levy collection and business characteristics.

Business characteristic	Have collected the tourism levy before
	Business characteristic	Yes	No
Gauteng Region of establishment	Tshwane	56.5%	43.6%
	Johannesburg	17.4%	82.6%
	Ekurhuleni	4.3%	95.7%
	West Rand	17.4%	82.6%
	Sedibeng	4.3%	95.7%
Geographic location of establishment	Urban	82.6%	17.4%
	Rural	17.4%	82.6%
Accommodation subsector	Hotel	56.5%	43.5%
	Bed and Breakfast	4.3%	95.7%
	Lodge	17.4%	82.6%
	Guest house	17.4%	82.6%
	Self-catering	4.3%	95.7%
	Other	0%	100%
Size of business	Small, Medium and Micro Enterprise (SMME)	73.9%	26.1%
	Large enterprise	26.1%	73.9%
Type of ownership of accommodation establishment	Black-owned	12.5%	87.5%
	White-owned	85.7%	14.3%

Source: Authors’.

Table 3. Relationship between business attributes and collection of tourism levy.

Business characteristic	Pearson Chi-Square	Df	Significance Level
Location of establishment (rural/urban)	0.505	1	0.477
Region of establishment in Gauteng	4.868	4	0.301
Accommodation subsector of the establishment	28.606***	5	0.000
Size of establishment	18.197***	1	0.000
Type of Ownership	5.014**	1	0.025

Source: Authors’.

Table 4. Likelihood ratio test.

Step	−2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square
1	25.765a	0.196	0.266
2	19.488b	0.388	0.526
3	14.033c	0.517	0.701

Table 5. Hosmer-Lemeshow goodness of fit test.

Step	Chi-square	Df	P- value
1	5.775	3	0.123
2	5.635	6	0.465
3	4.613	8	0.798

* p<.05, **p<.01, ***p<.001.

Table 6. Logistic regression model findings.

Step	Determinants	B	SE	Wald	Df	P value	Exp(B)
Step 1a	The Levy rate charge is high	−0.897**	0.461	3.783	1	0.050	0.408
	Constant	3.122	1.495	4.359	1	0.037	22.685
Step 2b	The Levy rate charge is high	−2.439**	0.968	6.357	1	0.012	0.087
	Lack of transparency on the levy is a challenge to levy collection	1.973**	0.93	4.499	1	0.034	7.194
	Constant	3.081	1.665	3.421	1	0.064	21.77
Step 3c	The levy collection process is simple.	1.61**	0.981	2.695	1	0.010	5.005
	The levy rate charge is high.	−3.74**	1.758	4.526	1	0.033	0.024
	Lack of transparency on the levy usage is a challenge to levy collection	3.475**	1.639	4.498	1	0.034	32.305
	Constant	−0.871	2.304	0.143	1	0.705	0.419

^a Variable(s) entered in step 1: The levy rate charge is high.

^b Variable(s) entered in step 2: Levy usage’s lack of transparency challenges levy collection.

^c Variable(s) entered in Step 3: Levy collection process is simple and easy to understand.

* p ≤ 0.10, **p ≤ 0.05, ***p ≤ 0.01.

Data availability statement

The datasets generated and/or analysed during the current study are available in the [University of Pretoria] repository, [https://doi.org/10.25403/UPresearchdata.19029737.v2]