socio-economic impact of boat-based whale watching in south africa

24
Summary of South African Boat Based Whale Watching Association Socio-Economic Study

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Page 1: Socio-economic impact of boat-based whale watching in South Africa

Summary of South African Boat Based Whale Watching Association Socio-Economic Study

Page 2: Socio-economic impact of boat-based whale watching in South Africa

•  Began SA in early 1990’s •  Legalized and permitted in 1998 •  Department of Environmental Affairs administers permits and

polices the industry (Except in KZN) •  Represented by the South African Boat–Based Whale Watching

Association (“SABBWWA”) •  In 2002-2008 there were 26 possible permits •  In 2008-2016 there are 23 possible permits •  Seasons:

•  Southern Right = July-December (Cape Coast) •  Humpback = May-June; October-December (W and E

Coast) •  Bryde’s = resident in low densities (Cape Coast)

Page 3: Socio-economic impact of boat-based whale watching in South Africa

COMPARATIVE SCENARIO

2002-2008 2008-2016

# of permits 26 23

Operational 18 17

Seat Numbers 385 475

Passengers 26 045 (in 2004) 42 0040 (2015)

Revenue R19,8 Mill R40,5 Mill

Tourism Expenditure R45 Mill R120 Mill

Employment 100 150

% Price Increase/annum ±8 ±10

Page 4: Socio-economic impact of boat-based whale watching in South Africa

19 Permit Allocations

Page 5: Socio-economic impact of boat-based whale watching in South Africa

BBWW Area Permits allocated 2002-2008

Permits allocated 2008-2016

Western Cape Lambert's Bay Area St. Helena Bay Area Saldanha Bay Area 1 Cape Town Area 1 1 Simonstown Area 1 1 Gordon's Bay Area 2 Overbergstrand Subarea 1 1 1 Overbergstrand Subarea 2 1 1 Overbergstrand Roving Area 3 1 1 Kleinbaai Area 1 1 Struisbaai/Arniston Area 1 Mosselbay Area 1 1 Knysna Area 1 1 Plettenberg Bay Area 2 2 Eastern Cape Port Elizabeth Area 1 1 Woody Cape to Rocky Point Area East London Area 1 Transkei Area Port St Johns Area 1 1 KwaZulu-Natal South Sand Bluff to Margate Area Margate to Scottsburgh Area 1 Durban Area 1 Tugela River to Richards Bay Area 1 St. Lucia to Cape Vidal Area 1 1 Sodwana Bay Area 1

Page 6: Socio-economic impact of boat-based whale watching in South Africa

7

0

0

3

0 1 2 3 4 5 6 7 8

20 - 30%

30 - 40%

40 - 50%

50+%

% OF MARKETING IS SPENT INTERNATIONALLY

Top 5 International Visitors: •  Netherlands •  Italy •  Germany •  US •  UK

Page 7: Socio-economic impact of boat-based whale watching in South Africa

77,8%

55,6% 55,6%

77,8%

66,7%

33,3%

0,0%

10,0%

20,0%

30,0%

40,0%

50,0%

60,0%

70,0%

80,0%

90,0%

BBWW Packages

Series1

Page 8: Socio-economic impact of boat-based whale watching in South Africa

R500 - R1000

R1001 - R2000

R3001 +

THE ESTIMATED CLIENT SPEND PER TRIP

Page 9: Socio-economic impact of boat-based whale watching in South Africa

a day trip only, 22,2%

2 - 3 days, 55,6%

3 - 4 days, 11,1%

5 days +, 11,1%

Approximate Days a Tourist is Spending in the same Town

Page 10: Socio-economic impact of boat-based whale watching in South Africa

5

0 0

4

0

1

2

3

4

5

6

10% - 20% 20% - 30% 30% - 40% 50%+

% OF THE OPERATORS BUSINESS THAT RELIES ON TOUR GROUPS (I.E. GROUP BOOKINGS)

Page 11: Socio-economic impact of boat-based whale watching in South Africa

South Africa:16%

Foreign:84%

% of clients are South African vs Foreign

Page 12: Socio-economic impact of boat-based whale watching in South Africa

Very important - there are no other

activities or attractions

22%

Important - your business is a large

contributor to bringing tourists to

the area 45%

Not very important - there are other

attractions bringing tourists to this area

33%

The importance of the BBWW operation to the survival of tourism in that specific town/area (i.e. would other businesses

such as Guest houses, hotels, B&B's survive without the operation)

Page 13: Socio-economic impact of boat-based whale watching in South Africa

1 - 5 years12%

5 - 10 years0%

10 - 15 years13%

16 years +75%

Years the BBWW business has been operational

Page 14: Socio-economic impact of boat-based whale watching in South Africa

Level 3 (110% procurement recognition)

12%

Level 4 (100% procurement recognition)

75%

Level 7 (50% procurement recognition)

13%

Operators BBBEE Status

Page 15: Socio-economic impact of boat-based whale watching in South Africa

10

20

30

40

50

60

70

80

90

Black Women Disabled Youth Living within 50 ams of the

Operator prior to employment

White

Black Women Disabled Youth Living within 50 ams of the

Operator prior to employment

White

Part Time

Full time

Casual

% Annual Salary

Employment through the industry

Page 16: Socio-economic impact of boat-based whale watching in South Africa

Black16%

Women18%

Disabled0%

Youth8%

Living within 50 kms of the

Operator prior to employment by the Operator

37%

White21%

% spend on Total annual wages on the following groups

Page 17: Socio-economic impact of boat-based whale watching in South Africa

18,5

29,375

0 0

69,16666667

81,375

0

10

20

30

40

50

60

70

80

90

Black Women Disabled Youth Living within 50 kms of the

Operator

White

% Operator ownership

Ownership

Page 18: Socio-economic impact of boat-based whale watching in South Africa

0

2

4

6

8

10

12

1 2 3 4 5 6 7 8

% Turnover on CSI Spend

Page 19: Socio-economic impact of boat-based whale watching in South Africa

0,0%

10,0%

20,0%

30,0%

40,0%

50,0%

60,0%

70,0%

80,0%

90,0%

100,0%

None Ad hoc sale of craft and cultural

activities/products

Provision of facilities for sale of craft and cultural activity bookings

etc.

Ad hoc use of service providers

such as accountants,

lawyers, plumbers, builders etc.

Regular use of all of the above

Other (please specify)

Providing new employment opportunities to the local people other than those employed by the Operator

Page 20: Socio-economic impact of boat-based whale watching in South Africa

0,0%

10,0%

20,0%

30,0%

40,0%

50,0%

60,0%

70,0%

80,0%

90,0%

100,0%

None Ad hoc purchase of local product

Regular purchase of local product

Operators buying from local communities

Page 21: Socio-economic impact of boat-based whale watching in South Africa

12,5%

50,0%

50,0%

12,5%

25,0%

25,0%

0,0% 10,0% 20,0% 30,0% 40,0% 50,0% 60,0%

None

Ad hoc training/skills transfer

Competent on the job training evident

Formal training programmes, but not fully implemented

Fully implemented training/skills transfer programme

Fully implemented training/skills transfer programme with in house

programmes for job promotion

Page 22: Socio-economic impact of boat-based whale watching in South Africa

0,00 1,00 2,00 3,00 4,00 5,00 6,00

Political InstabilityRogue/illegal operators

Too much legislationToo li_le legislationToo many operatorsAccess to financing

Fuel increasesDecline in a_raction

Difficult access (bad roads, high cost of flights)Cost and accessing for marketing

Ineffective marketing from local tourism officePollution

Low numbers/sightingsSupporting businesses struggling

Impact of the new Home Affairs biometric

THE CURRENT THREATS TO THE SURVIVAL OF BBWW OPERATIONS

Page 23: Socio-economic impact of boat-based whale watching in South Africa

Specific recommendations•  DEA and Industrial Recognised Bodies should co-manage

industry •  More permits can be issued in Cape Metro, Sunshine Coast

and Maputaland, Agulhas Coast, Hibiscus Coast and Durban •  possibly through more than one permit/boat/operator to

reduce competition •  Long-term rights benefits •  Performance criteria decided in conjunction with industry and

tourism •  Data collected by operators should be released annually •  DEA should support research on the status of the whales and

impacts of BBWW •  Marketing needs to be increased, and industry needs

investment by Tourism Government Bodies

Page 24: Socio-economic impact of boat-based whale watching in South Africa

Studies conducted•  Boat-Based Whale Watching in South Africa – An

Economic Perspective by Anchor Environmental Consultants, 2005

•  Towards an Evaluation of Marine and Coastal Eco-Tourism along the South Africa Coast by EnvironDev, December 2005

•  SABBWWA Socio-Economic Development Survey, 2015