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Tourism Value Chain Analysis
Dr. Frederic [email protected]
A framework for tourism stakeholders to assess and maximize the development impact of
public/private investments in the tourism sector, especially the pro poor impact
The data in this presentation come from a research’s project co-funded by the IFC/MPDF and the Prosperity initiative in Cambodia and Lao PDR
Objectives
A major objective of the IFC/PI project was to develop a framework for tourism stakeholders to assess and maximize the development impact of public/private investments in the tourism sector, especially the pro poor impact
The objectives of a value chain analysis are first and foremost to better understand:
How a specific economic sector impacts on a local economy (range of activities, phases of production, number of hired people (direct, indirect, induced))?
Which opportunities exist for increasing the linkages and benefits between this economic sector and the local economy?
What is the feasibility or plausibility of each potential interventions for having an economic, local or pro-poor impact?
Finally, what would be the best strategies to increase either the global economic impact, Local Expenditures Impact or the Pro-poor Impact*?
(*This implies to take into account the return on investment!)
Introduction to Cambodian and Lao Tourism
International tourists arrivals in Cambodia (1990-2007)
200219961995 1997 1998 1999 2000 2001 2003 2004 2005 2006 20071990
260,489 286,524
466,365604,919
786,524
1,055,202
1,421,615
1,700,041
2,015,128
17,000219,680 218,843
367,743
701,014
0
0.5
1
1.5
2
2.5
Mill
ion
s vi
sito
rs
The 2007 Travel and tourism economic research - WTTC
world market share of tourism
GDP growth
2007/2006
Travel and tourism industry contribution to
GDP
Travel and tourism contribution to the
economy
Travel and tourism
economy employment
(direct/ indirect / induced)
Travel and tourism industry
employment(direct/indirect)
Cambodia 0.0% 6.5% 9.3% 20.3% 1,108,235 500,103
Vietnam 0.2% 10.5% 3.1% 11.2% 3,519,630 932,110
Lao PDR 0.0% 7.1% 4.2% 8.5% 148,532 72,248
Malaysia 0.5% 4.5% 4.4% 13.3% 1,217,080 476,438
Indonesia 0.6% 3.6% 2.4% 7.5% 6,056,156 1,980,658
Thailand 0.7% 3.3% 6.7% 14.9% 4,109,502 1,945,544
Philippines 0.2% 7.0% 4.1% 9.1% 3,542,908 1,388,229
Total international visitors in Lao PDR (1990-2007)
463,200403,000346,460
146,155
102,94687,57137,61314,400
614,278 73,823 636,361
894,806
1,095,315
500,200
737,208 735,662
1,215,106
1,623,943
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
Mill
ion
s v
isit
ors
Introduction to Cambodian and Lao Tourism
International Arrivals in Lao PDR (2007)
# arrivals (LNTA)
# arrivals(- day
tripper)% GIT
Thailand 949,452 508,596 35047
Vietnam 290,584 248,649 10726
China 54,920 33,376 2027
USA 45,691 45,691 1687
France 34,584 34,584 1277
UK 31,352 31,352 1157
Japan 29,770 29,770 1099
Australia 24,492 24,492 904
Total top 8 (90%) 1,460,845 956,510 66,605
Total visitors in Laos 1,623,943 4.1%
International Arrivals in Cambodia (2007)
# arrivals (MoT)
% GIT
Korea 329,909 62.39%
Japan 161,963 56.74%
USA 137,539 26.38%
Vietnam 125,442 30.16%
China 118,417 39.68%
Taiwan 118,180 71.12%
Thailand 101,590 16.42%
France 90,168 40.76%
UK 84,103 20.86%
Malaysia 84,039 18.60%
Total top 10 (67%) 1,351,350 589,490
Total 2007 2,015,128 43.95%
The IFC/PI Approach Cambodia and Lao PDR
The data collected (demand and supply side surveys) allow the following expenditure measures of yield to be estimated:
Total trip expenditure, nationally and in destinations Average expenditure per night (total tourism) nationally
and by destination Expenditure per night by market (by origin,
demographic, travel motive) nationally and by destination
Expenditure in each tourism supply chain (accommodation, F+B, shopping, transportation) , nationally, by destination and by type of tourist
Employment in tourism, nationally and by destination, by type of tourist and by tourism sub-sector/supply chain
Review of different methodological issues observed in Cambodia and Lao PDR
Expenditures per person vs. per interviewee
FIT vs. GIT
Definition of poverty: Unskilled workers (ODI/SNV) vs. poor background’s workers
Expenditures per day and expenditures for the last 24h
Are products bought at the local market obviously locals?
Step one(Larry Dwyer: Tourism Yield definition)
1. Total in-country expenditures
2. Converting Expenditure Measures of Yield into local expenditure yield measures (Local Expenditure Impact)
3. Estimating pro-poor employee income (PPEDI) yield measures
4. Estimating tourism supplier pro-poor impact: Pro-poor Indirect employment income (PPEII)
5. Estimating direct seller pro-poor impact
6. Estimating Employment Measures of Yield (direct, indirect)
Tourism Yield Analysis - Approach
Due to a lack of maturity of the market (difficulties in getting sensitive data), the approach did not include profitability measures and particularly the analysis of the yield as rate on return of capital.
There is no consistent definition of Tourism Yield. We have essentially looked at 4 dimensions:
Economic Local Economic Impact Pro-poor Impact Pro-poor employee direct incomes
$
LEI
PPI
PPEDI
$Economic
$ (Expenditure / Revenues)Jobs
LEI Local Economic Impact
(what stays in Cambodia?)
PPI- Pro Poor Impact
PPEDI- Pro Poor Employee direct Incomes
Tourism Yield Analysis - Approach
Economic impact of tourism
Total in country trip expenditure =
(ALOS * ADE * Number of tourists)
ALOS = Average Length of StayADE = Average Daily expenditures per
person (and not per interviewee)
Tourism Yield Analysis - Approach
Average Daily expenditures in Cambodia
France-G France-F
Thai-G
Viet-G
China-G
UK-G
Taiwan-G
Malay-G
Jap-G
US-G
UK-F
Taiwan-F
Thai-FVN-F
US-F
Jap-FMalay-F
Korean-G
China-F
$0
$20
$40
$60
$80
$100
$120
$140
2 3 4 5 6 7 8 9 10
ALOS
Avera
ge d
aily e
xp
en
dit
ure
s p
er
pers
on
in
Cam
bo
dia
ALOS
France-GFrance-F
Thai-G
Viet-G
China-G
UK-G
Taiwan-G
Jap-G
US-G
UK-F
Taiwan-FUS-F
Jap-FMalay-F
Korean-G
$0
$20
$40
$60
$80
$100
$120
$140
60% 62% 64% 66% 68%
% LEI by nationality
Av
era
ge
da
ily
ex
pe
nd
itu
res
pe
r p
ers
on
in
Ca
mb
od
ia
Total yield by nationalities in 2006
Korea
Japan
USA
VietnamChinaTaiwan
Thailand UK
Malaysia
FranceAustralia
Germany
0
50
100
150
200
250
300
350
$0 $100 $200 $300 $400 $500 $600 $700 $800 $900 $1,000
# of
vis
itors
in 2
006
(in th
ousa
nd)
Average trip expenditures per person
Total expenditures for GIT per year by nationality
Korea
Japan
Taiwan
USA ChinaFrance
UKMalaysiaThailandVietnam
0
50
100
150
200
250
0 100 200 300 400 500 600 700
Expenditures per person per trip
# vi
sito
rs (
000)
Total expenditures for FIT per year by nationality
JapanThailand
Malaysia
USA
Vietnam
Taiwan
UKFrance
Germamy (GIT/FIT)
Australia (GIT/FIT)Chinese
0
50
100
150
200
250
0 100 200 300 400 500 600 700
Average trip expenditures per person
# vi
sito
rs (
000)
Expenditure - IVA / trip Cambodia
Tourism Yield Analysis - Approach
Tourism Yield Analysis - Approach
Expenditure - IVA / trip LAO PDR
Average daily expenditures and length of stay in Laos(weighted ALOS = 5 Average Daily exp. = US$52.5)
ThaiUSA
AustralianChinese
French
UKVietnamese
Japanese
$0
$10
$20
$30
$40
$50
$60
$70
0 2 4 6 8 10 12
Total Yield by nationality
Chinese Australian French UK
Vietnamese
Japanese USA
Thai
-
100,000
200,000
300,000
400,000
500,000
600,000
$0 $100 $200 $300 $400 $500
Expenditures per person per Trip
# vi
sito
rs
Opportunities for increasing the number of GIT and the amount of GIT itself are limited (low average number of rooms per hotel). Therefore the analysis focused mainly on FIT.
Local Economic Impact(defined as Local Expenditures Impact)
Identified leakages From the top to the bottom
From bottom to the top
The example
of the hotel’s sector
• Depreciation cost or profit leaving the region for foreign owners• % of foreign staff salary (repatriation of a % of salary)• Importation for running costs (electricity, F&B, Furniture and equipment replacement…)
•Profit repatriation: Estimated as 10 to 15% of turn-over for high-end hotels•Salary repatriation: 80% of 15% of the salary bill for high-end hotel•Leakages from power operating costs (80%)•Leakages from F&B
•Salary of local staff•Local impact from F&B•Share of profit staying in the country•Local expenditures by the business as operating costs
Tourism Yield Analysis - Approach
* Our LEI approach doesn’t take into account the leakages from the starting costs (Around 90% for a high-end hotel).
Tourism Yield Analysis - LEI
Total LEI by nationality in Cambodia
France-G
France-F
Thai-GViet-G
China-G
UK-G
Taiwan-G
Malay-G
Jap-G
US-G
UK-F
Taiwan-F
Thai-F VN-F
US-F
Jap-F Malay-F
Korean-G
China-F
0
100
200
300
400
500
600
700
$30 $40 $50 $60 $70 $80
LEI per person per day
Tota
l # o
f nig
hts
(Tho
usan
d)
Total LEI by nationality in Lao PDR
Thai
USA Japanese
Vietnamese
UK French
Australian Chinese
0.0
0.5
1.0
1.5
$0 $10 $20 $30 $40 $50
Mill
ion
s
LEI per person per day
# N
igh
ts
The total contribution by nationality is extremely influenced by the number of visitors in Lao PDR.
The breakdown of expenditures and the LEI in each category varies from one nationality to another and also between the two categories of visitors (FIT/GIT).
The tourism industry public and private sectors should not particularly target an increase in tourism arrivals on the top of the trend but more the High yield markets.
Pro Poor Impact
Pro-Poor Employee Direct Income (looking at employee from poor background)
+Pro-Poor Employee Indirect income
(Indirect salary to suppliers from poor background) +
Remittances of Tourism workers from a poor background
Tourism Yield Analysis - Approach
ALOS
France-GFrance-F
Thai-G
Viet-G
China-G
UK-G
Taiwan-G
Malay-GJap-G
US-G
UK-F
Taiwan-FThai-F
VN-F
US-FJap-F
Malay-FKorean-G
China-F
$0
$20
$40
$60
$80
$100
$120
$140
$30 $35 $40 $45 $50 $55 $60 $65 $70 $75 $80
LEI by nationality
Ave
rag
e d
aily
exp
end
itu
res
per
p
erso
n in
Cam
bo
dia
PPI / person and nights /Total contribution to PPI per annum by market segment (bubbles)
France-G
France-F
Thai-GViet-G
China-G
UK-G
Taiwan-G
Malay-G
Jap-G
US-G
UK-F
Taiwan-F
Thai-FVN-F
US-F
Jap-F Malay-F
Korean-G
China-F
0
100000
200000
300000
400000
500000
600000
700000
$3 $4 $5 $6 $7 $8 $9
Pro Poor Impact per person per night
To
tal #
of
nig
hts
in C
amb
od
ia
Total PPI contribution per nationality
Thai
USA Japanese
Vietnamese
UK French Australian
Chinese
0
500000
1000000
1500000
$0 $2 $4 $6
PPI per person per day
% P
PI
Tourism Yield Analysis - PPI
The total contribution by nationality is extremely influenced by the number of visitors in Lao PDR.
In Cambodia, the level or importance of the Pro poor impact for each nationality is relatively different than their LEI
Summary for Cambodia
($) In country expenditures
% market share
($) Local Economic
Impact
% Local Economic
Impact
($)Pro-Poor
income yield
% Pro-Poor
income yield
Siem Reap$457,810,841 58% $283,842,721 62% $26,095,218 5.7%
Phnom Penh $213,118,840 27% $132,133,681 62% $18,434,780 8.65%
Sihanoukville$55,253,033 7% $39,229,653 71% $5,912,075 10.7%
Kratie$2,771,822 0.5% $1,779,510 64.2% $321,531 11.6%
Other$60,374,501 7.5% $38,760,430 64.2% $7,003,442 11.6%
TOTAL$789,329,036 100% $495,698,635 62.8% $52,016,783 6.59%
Summary for Lao PDR
($) In country expenditures
% market share
($) Local Economic
Impact
% Local Economic
Impact
($)Pro-Poor
income yield
%Pro-Poor income yield
Vientiane $88,340,566 57% $59,099,839 66.9% $10,070,825 11.4%
Luang Prabang $13,947,794 9% $10,795,593 77.4% $585,807 4.2%
Champasak $12,217,849 8% $7,074,135 57.9% $671,982 5.5%
Other $40,988,985 26%
TOTAL $155,495,194 100% $108,069,160 69.5% $12,284,120 7.9%
In Cambodia and Lao PDR, we observe that the level of PPI is higher in the capital than in the main tourist destination. An explanation could be the high number and variety of potential jobs in all sectors in Phnom Penh and Vientiane which finally attract more people from a poor background.
In both countries, the difficulty of access to training for poorer persons doesn’t help them to become a strong workforce in the hospitality service industry.
Major interventions to increase the % of LEI and /or PPI
Major interventions on changing the % of PPI should be based on- Main leakages by supply chain and feasibility to fill the gap/increase linkages and particularly with projects having a high LEI/PPI- Main sectors able to highly contribute to the global LEI/PPI- Main markets able to highly contribute to the global LEI/PPI- Making jobs more accessible for the poor
Main areas usually targeted to help the poor- Importation (F&B, handicrafts, miscellaneous products…)
Main opportunities become:- Substitution to importation strategies are often considered as the only area where an increase of LEI/PPI is feasible. Now, these strategies should be
- Able to differentiate between absolute value and percentage of LEI/PPI;- Able to compete with existing products in terms of costs, quality and just-in-
time production/distribution all the year long (With a ROI concern) and not only job creation and/or increase of incomes;
- Marketing strategies to attract high-yield market, to increase ALOS, to increase # of high yield visitors in low season
Marketing strategies
share of arrivals/expenditures/LEI and PPI among the top 10 (from the edge to the center)
7%
7%
16%
10%
10%
10%
9%14%
8%
13%
9%
9%
8%
7%13%
8%
13%9%
9%
8%
8% 18%
8%
8%
7%
7%
8%
8%
14%
7% 10%
14%
6%
12%
14%
6%
12%
12%
8%
16%
Korea (GIT)
Japan
Taiwan
China
USA
UK
France
Malaysia
Thailand
Vietnam
1. Target high yield markets1. Increase ALOS2. Increase number / change the mix3. Reduce seasonality4. Increase average daily expenditures
Substitution to importations
Total Economic and Local Expenditures Impacts by sector in Lao PDR
AccommodationF&B
Transport within town
Casino
Shopping
GuideExcursionsSpa
Others
$0
$2
$4
$6
$8
$10
$12
$14
$16
$18
0% 25% 50% 75% 100%
Average LEI per person per day
Av
era
ge
Da
ily le
ve
l of
ex
pe
nd
itu
res
pe
r p
ers
on
pe
r d
ay
Total and local economic impact by sector in Cambodia
Accommodation
Shopping
F&B
Entrance fees
Others Local transport
regional transport
Excursions Spa Casino Guides
$0
$5
$10
$15
$20
$25
$30
0% 20% 40% 60% 80% 100%
% LEI
Ave
rag
e E
xpen
dit
ure
per
per
son
per
day
1. Looking at opportunities/feasibilities/plausibility
1. Compare % and economic value of LEI 2. Determine feasible increase of LEI by sector and opportunities3. Look at competitiveness for interesting sector4. Look at domestic demand as an additional factor (ex: can
organic products be bought by locals in developing countries..)
Step two – Study the feasibility/plausibility of interventions
1. Breaking down the value chain
2. Looking at supply chain’s specificities (competitiveness, opportunities, linkages and leakages)
3. Studying the feasibility of interventions based on understanding of context
4. Breaking down the supply chain for any plausible intervention
5. Studying the Return on investment for each plausible intervention
Feasibility / potential to change the LEI/PPI by supply chain: The example of the accommodation sector (1)
Sectors Interventions / leakages Strategies vs. Feasibility/ plausibility
Increase of
economic impact
Increase % of LEI
Increase % of PPI
Decrease profit repatriation (Estimated as 10 to 15% of turn-over for high-end hotels)
Increase of FDI is a must - no plausibility to increase LEI
by attracting FDI
no No
Decrease salary repatriation (80% of 15% of the salary bill for high-end hotel)
Capacity building for local staff to reach high position takes 10 to 20 years.
no no no
Decrease leakages from power operating costs (80%)
out of project no no no
Decrease leakages from F&B (F&B constitutes 31.5% of operating costs and its LEI is approximately 60%) - 60% of F&B bill is Food.
implement linkages projects yes yes yes
Decrease leakages from operating costs (decoration, equipments, products…)
Implement linkages projects yes yes yes
Accommodation
others increase of salary / gender equity in salary
yes yes yes
Feasibility / potential to change the LEI by sector
Changing the % of LEI
Example: encourage the production of fruits by local farmers
Cambodia
Average Daily
expenditures per person
Share of expenditures on food and beverages
% Fruits over F&B
% LEI for fruits
US$ final LEI for
fruits per person
Hotel US$ 20 31.5% 5% 60% $0.082
Restaurants US$ 17 55.2% 5% 60% $0.122
Opportunities exist but they remains limited in terms of yields.
Feasibility / potential to change the PPI by sector
Changing the % of PPIMain identified
areas for substitution to
importationTarget products % of the sector’s
billFeasibility and
constraintsPotential gains
(based on 2007)
Food
-Fruits-Vegetables-Meats (importation concerned high-end products)
-Around 5% of food’s bill-Around 8-10%-Around 20%
-Competitiveness-Yearly production- very few opportunities for meat (need to develop traceability system)
Calculated by breaking down the supply chain
Beverages
-Alcoholic beverages-Non alcoholic beverages
-Around 12% of beverages bill-Around 5%
- No real opportunities (consumption based on brands)
None
Handicrafts
Sectors with high levels of importation (clothing, scarves, handbags) >60%
-10% for clothing of the products bill-6% for scarves-8% for handbags
-Competitiveness-Quality Calculated by
breaking down the supply chain
Operating products
-Hygiene products-Cleaning products
-Towels, napkins, bed sheets…(replaced every 6 months)
-Min. evaluation at US$ 4 millions leakages per year (FIAS -2006)
-Not calculated
-Competitiveness-Quality and quantity Potential Pro
poor impact if project linked with poverty reduction
Construction and equipment materials
All items currently imported
No survey Need for the development of an industrial base
To be defined
ConclusionAs an example, out of one US dollar spent in a restaurant,
$0.0042 have a pro-poor impact on the local vegetables sector $0.0037 have a pro-poor impact on the local fruits sector
Opportunities exist to substitute imported fruits and vegetables Up to $2.4m for the vegetables sector Up to $2.1m for the fruits sector
$ 2.4m Veggies $2.1m Fruits
$1m potential $1m potentialNot all
Fruits and vegetables grown in Cambodia
How easy?Cost of production (competitiveness)?
Supply the market all year long? $1m Assumption of realistic opportunities
$100k Share to the poor?
-Lack of skills-Cost of training-How easy?-ROI
Summary
Can’t assume, details matters
Evidence based conclusion (potential)
With good understanding of context to maximize ROI and development