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Assessing the Economic Impact of Tourism
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ASSESSING THE
ECONOMIC IMPACT
OF TOURISM
A Computable General
Equilibrium Modelling Approach
Samuel Meng and
Mahinda Siriwardana
Assessing the Economic Impact of Tourism
Samuel Meng • Mahinda Siriwardana
Assessing the
Economic Impact
of Tourism
A Computable General Equilibrium Modelling
Approach
Samuel Meng
University of New England
Armidale, New South Wales
Australia
Mahinda Siriwardana
University of New England
Armidale, New South Wales
Australia
ISBN 978-3-319-40327-4 ISBN 978-3-319-40328-1 (eBook)
DOI 10.1007/978-3-319-40328-1
Library of Congress Control Number: 2016956078
© The Editor(s) (if applicable) and The Author(s) 2017
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the
whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of
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The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication
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The publisher, the authors and the editors are safe to assume that the advice and information in this
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herein or for any errors or omissions that may have been made.
Cover illustration: © Infografx / Alamy Stock Photo
Printed on acid-free paper
This Palgrave Macmillan imprint is published by Springer Nature
The registered company is Springer International Publishing AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Contents
1 An Introduction to CGE Modelling 1
1.1 What Is a CGE Model? 1
1.2 A Brief Historical Review of CGE Modelling 3
1.2.1 Walras’ Law: The Theoretical Foundation
for CGE Modelling 3
1.2.2 Input–Output Analysis: The Predecessor
of CGE Modelling 3
1.2.3 Advent of CGE Modelling 6
1.3 Elements of a Standard CGE Model 6
1.3.1 Elements in CGE Model Structure 7
1.3.2 Elements in CGE Database 8
1.4 Types of CGE Models 9
1.4.1 Static Versus Dynamic CGE Models 9
1.4.2 Single-Country Versus Global CGE Models 11
1.4.3 Single-Region Versus Multi-Regional CGE
Models 12
1.4.4 Top-Down Versus Bottom-Up CGE Models 12
1.4.5 Multi-Household and/or Multi-Occupation
CGE Models 13
1.4.6 CGE Models by Research Area 13
v
1.5 Acceptance of CGE Modelling 13
1.6 An Evaluation of CGE Modelling 15
1.6.1 Advantages of a CGE Model Over Other
Simulation Models 15
1.6.2 Drawbacks of CGE Modelling 16
References 18
2 Useful CGE Modelling Packages 25
2.1 GEMPACK Versus GAMS 25
2.1.1 Advantages of a Linear Model 26
2.1.2 Percentage Change Linearization Approach 27
2.1.3 Multi-Step Process to Minimizing the
Linearization Errors 29
2.2 How to Use GEMPACK to Do a Simulation 30
2.2.1 Using RunGEM 31
2.2.2 Using WinGEM 32
2.2.3 Viewing Simulation Results 34
2.3 How to Use GEMPACK to Construct/Change a
Model 36
2.3.1 Creating a TAB File 36
2.3.2 Creating a HAR File 45
2.3.3 Creating a CMF File 52
2.3.4 Creating an STI File 57
References 58
3 Application of CGE Modelling to Tourism 61
3.1 Suitability of a CGE Model in Tourism Analysis 61
3.2 Assessing the Impact of Tourism Demand and Tourism
Policy 62
3.3 Assessing the Impact of Mega Events on Tourism and on
the Economy 69
3.4 Assessing the Impact of Tourism on the Environment
and Natural Resources 74
3.5 Assessing the Distributional Effect of Tourism 76
References 77
vi Contents
4 Collecting Background Information for a Tourism
CGE Model 83
4.1 Information on Economic Structure and the Role of
Tourism 83
4.1.1 General Feature of Singaporean Economy
and Its Implications 84
4.1.2 Manufacturing Sector 86
4.1.3 Trade, Hotels, and Restaurants 88
4.1.4 Financial and Business Services 89
4.1.5 Transportation and ICT Services 91
4.1.6 Linkages Among Sectors 93
4.2 Information on Tourism Resources 96
4.2.1 Favourable Geographic Position and Tropical
Environment 96
4.2.2 Colonial Historical Legacy 97
4.2.3 Sound Infrastructure and Efficient Service 99
4.3 Performance of the Tourism Sector 100
4.3.1 International Comparison 101
4.3.2 Performance over Time 102
4.3.3 Performance of the Hospitality Industry 106
4.4 Characteristics of Tourism Market 110
4.4.1 A Holiday and Business/MICE Destination 110
4.4.2 Diverse but Uneven Tourism-Generating
Markets 113
4.4.3 Gateway Tourism 116
4.4.4 Tourism Shopping and Health Tourism 119
4.5 Information on Tourism Policies 124
4.5.1 Modernist Aspiration (1965–1985) 124
4.5.2 Heritage Tourism (1986–1995) 125
4.5.3 Tourism Capital (1996–Present) 126
References 128
5 Constructing a Tourism CGE Model 131
5.1 How to Incorporate Tourism into a CGE Model 132
5.1.1 Creating a Real Tourism Industry 133
5.1.2 Creating a Shadow Tourism Industry 134
Contents vii
5.1.3 Modelling the Tourism Industry Directly from
the Demand Side 135
5.1.4 The Overview of a Tourism CGE Model 136
5.2 Production of Goods and Services 137
5.2.1 Demand for Composite Inputs 139
5.2.2 Demand for Intermediate Inputs 140
5.2.3 Demand for Primary Factors 145
5.2.4 Output Mix 147
5.3 Investors’ Demand 148
5.4 Household Utility 150
5.5 Tourism Demand 160
5.5.1 Demand for Composite Tourism Services 161
5.5.2 Demand for Tourism Shopping and
Non-Shopping Services 162
5.5.3 Tourism Shopping Expenditure Pattern 163
5.5.4 Tourism Non-Shopping Services Demand 167
5.5.5 TABLO Codes for Tourism Demand 169
5.6 Exports and Other Final Demands 177
5.6.1 Foreign Demand for Exports 177
5.6.2 Government Demand 178
5.7 The Price System 178
5.7.1 The Basic Values 179
5.7.2 The Purchasers’ Prices 181
5.8 Income, Consumption, and Investment 182
5.8.1 Household Income, Consumption,
and Budget Constraint 183
5.8.2 Government Income 184
5.8.3 Investment and Capital Accumulation 186
5.9 Imports, Exports, and Balance of Trade 188
5.10 Price Indices, Wage Indexation, and GDP Price
Deflator 189
5.11 Market Clearing Equations 194
5.12 The Complete Model 195
References 210
viii Contents
6 Preparing Database for a Tourism CGE Model 211
6.1 Data Requirements 211
6.1.1 I–O Data 212
6.1.2 Other Data 212
6.2 Data Availability and Sources 214
6.2.1 Singaporean I–O Tables 215
6.2.2 Other Sources 217
6.3 Model Accounts 219
6.3.1 Production Account 219
6.3.2 Household Account 222
6.3.3 Tourism Account 225
6.3.4 Sectoral Employment 229
6.3.5 Investment Matrices 234
6.3.6 Tax Matrices 238
6.4 Behavioural Parameters 240
6.4.1 Input Substitution Elasticities 240
6.4.2 Products Transformation and Export Demand
Elasticities 242
6.4.3 Tourism Demand and Tourism Substitution
Elasticities 243
6.4.4 Frisch Parameter and Household Expenditure
Elasticities 244
References 246
7 Model Implementation and Testing 249
7.1 The Integrity of Model Implementation 249
7.1.1 The Accuracy and Consistency of Data 250
7.1.2 The Rigorous Simulation Procedure in
GEMPACK 251
7.1.3 Model Validity Tests 253
7.2 Simulation Design 255
7.2.1 Economic Environment for Simulation 255
7.2.2 Simulation Plans 257
7.3 Sensitivity Tests 262
7.3.1 Testing Tourism and Export Demand Elasticities 262
Contents ix
7.3.2 Testing Wage Indexation and Product
Transformation Elasticities 266
7.3.3 Testing Substitution Elasticities 266
7.3.4 Systematic Sensitivity Analysis 269
References 271
8 Interpretation of Results from a Tourism CGE Model 273
8.1 The Impact of Disaggregated Tourism Demand 273
8.1.1 The Macroeconomic Effects 274
8.1.2 The Sectoral Effects 284
8.1.3 Employment Effects 291
8.2 The Impact of Negative Mega Events and Policy
Responses 295
8.2.1 The Macroeconomic Effects 295
8.2.2 The Tourism Effects 305
8.2.3 The Sectoral Effects 311
8.2.4 The Employment Effects 315
8.3 The Effectiveness of Singaporean Tourism Policies 331
8.3.1 The Macroeconomic Effects 332
8.3.2 The Tourism Effects 336
8.3.3 The Sectoral Effects 337
8.3.4 The Employment Effects 340
References 341
9 Frontiers of Tourism CGE Modelling 343
9.1 Modelling Tourism in a Richer Environment 343
9.2 Modelling Tourism with a Multi-Regional CGE Model 344
9.3 Modelling Tourism with a Global Context 344
9.4 Modelling Tourism Using a Dynamic CGE Model 345
Index 347
x Contents
Abbreviations
AOR Average Occupancy Rate
ARR Average Room Rate
ASEAN Association of Southeast Asian Nations
BOT Balance of Trade
CD Cobb–Douglas
CES Constant Elasticity of Substitution
CET Constant Elasticity of Transformation
CGE Computable General Equilibrium
CNTA China National Tourism Administration
COE Certificate of Entitlement
CPF Central Provident Fund
CPI Consumer Price Index
CRS Constant Returns to Scale
DOS Department of Statistics
DTD Double Tax Deduction
EV Equivalent Variation
F&B Food and Beverage
FMD Foot-and-Mouth Disease
FTA Free Trade Agreement
FTE Full-Time Equivalent
GDP Gross Domestic Product
GFC Global Financial Crisis
xi
GST Goods and Service Tax
GTAP Global Trade Analysis Project
ICT Information Communication Technology
I–O Input–Output
IT Information Technology
LES Linear Expenditure System
MICE Meetings, Incentive travel, Exhibitions and Conventions
MMRF Monash Multi-Regional Forecast
MOM Ministry of Manpower
MRT Mass Rapid Transit
MTI Ministry of Trade and Industry
NCB National Computer Board
PMB Preservation of Monuments Board
RoW Rest of World
RWC Rugby World Cup
SARS Severe Acute Respiratory Syndrome
SPG South Pacific Games
STB Singapore Tourism Board
STPB Singapore Tourism Promotion Board
TDAS Tourism Development Assistance Scheme
TEV Total Expenditure of Visitors
TPF Tourism Policy and Forecasting
TR Tourism Receipts
TSA Tourism Satellite Account
UK United Kingdom
UNCTAD United Nations Conference on Trade and Development
UNWTO United Nations World Tourism Organization
USA United States of America
WTTC World Travel and Tourism Council
xii Abbreviations
List of Figures
Fig. 1.1 Market equilibrium 2
Fig. 1.2 An illustration of economic system in a CGE model 7
Fig. 1.3 Comparative static interpretation of results in ORANI-G 10
Fig. 2.1 Johansen linearization error 29
Fig. 2.2 Multi-step process to reduce linearization error 30
Fig. 2.3 The RunGEM interface 32
Fig. 2.4 The interface for TABLO implement 33
Fig. 2.5 ViewSOL interface 35
Fig. 2.6 ViewHAR interface 46
Fig. 2.7 Interface of ‘create new set’ 46
Fig. 2.8 Interface of ‘create headers’ 47
Fig. 2.9 Interface of a har file header with default value 49
Fig. 2.10 The interface of ‘create mappings’ 50
Fig. 2.11 The interface of data aggregation 52
Fig. 4.1 Visitor arrivals by visiting purpose in recent years 111
Fig. 4.2 Visitor arrivals by region in 2006 113
Fig. 4.3 Top ten visitor arrivals by country in 2006 114
Fig. 4.4 Top ten tourism-generating markets by TEV in 2006 115
Fig. 4.5 Breakdown of TEV in 2006 119
Fig. 4.6 Top ten tourism shoppers in 2006 123
Fig. 5.1 Production of goods and services 138
Fig. 5.2 Investors’ demand 148
xiii
Fig. 5.3 Household utility 151
Fig. 5.4 Tourism demand 161
Fig. 7.1 Steps in carrying out a simulation in GEMPACK 252
Fig. 7.2 Macroeconomic closure in the long run 256
Fig. 7.3 Macroeconomic closure in the short run 256
Fig. 7.4 Results of sensitivity tests for substitution elasticities 269
xiv List of Figures
List of Tables
Table 4.1 Overall economic structure of Singapore 84
Table 4.2 Sector share of total value-added, 1960–2007 85
Table 4.3 Structure of manufacturing industry 86
Table 4.4 Investment commitments in manufacturing industry 87
Table 4.5 Singapore’s top ten imports and exports in terms of value 88
Table 4.6 Structure of financial and business services industry 90
Table 4.7 Structure of transport and storage sector 92
Table 4.8 Employment linkages between sectors 94
Table 4.9 Intermediate demand in business sectors in 2000 95
Table 4.10 World top 15 city destinations 2006 101
Table 4.11 Top ten cities by number of meetings 2006 102
Table 4.12 Visitor arrivals and tourism receipts in Singapore from
1991 to 2005 104
Table 4.13 TEV and TR from 1998 to 2006 105
Table 4.14 Standard average occupancy rate (AOR) and average
room rate (ARR) 106
Table 4.15 Supply of hotels and hotel rooms at the end of
the year, 1997–2006 107
Table 4.16 Sales turnover of Cessable hotels and other F&B
establishments (S$ Million) 109
Table 4.17 Visitor arrivals by gender and age group 112
xv