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7/30/2019 Assessing the Economic Justification for Government Involvement in Sports
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Copyright is owned by the Author of the thesis. Permission is given fora copy to be downloaded by an individual for the purpose of research andprivate study only. The thesis may not be reproduced elsewhere without
the permission of the Author.
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ASSESSING THE ECONOMIC JUSTIFICATION FORGOVERNMENT INVOLVEMENT IN SPORTS
FACILITIES AND EVENTS IN NEW ZEALAND
Samuel Andrew Richardson
2010
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ABSTRACT
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DEDICATION
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ACKNOWLEDGEMENTS
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TABLE OF CONTENTS
ABSTRACT............................................. .................................................................................ii
DEDICATION ........................................................................................................................ iii
ACKNOWLEDGEMENTS ............................................ .........................................................iv
TABLE OF CONTENTS.......................................................................................................... v
TABLES...................................................................................................................................ix
FIGURES .................................................................................................................................xi
1 THESIS INTRODUCTION ................................................................................................1
1.2.1. Internationally Oriented Events Hosted in New Zealand ..............................2
1.2.2. The Major Events Development Fund....................................................................3
1.2.3. Facility Construction in New Zealand...................................................................5
2 LITERATURE REVIEW................................................................................................. 11
2.2.1. Income Generation ....... ........ ...... ....... ........ ........ ........ ...... ...... ......... ........ ...... ...... ........ 14
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2.2.2. Job Creation ....... ......... ........ ......... ...... ...... ........ ......... ...... ...... ....... ......... ...... ...... ........ .... 16
2.2.3. Earnings...... ........ ......... ......... ...... ....... ...... ......... ...... ...... ........ ......... ...... ...... ....... ........ ..... 18
2.2.5. Real Estate Values ...... ......... ........ ......... ...... ...... ........ ......... ...... ...... ....... ......... ...... ...... . 18
2.2.6. Mega events ...... ......... ........ ......... ...... ....... ....... ......... ...... ....... ...... ......... ...... ....... ....... .... 19
2.2.7. Intangibles ....... ........ ......... ......... ...... ...... ........ ......... ...... ...... ....... ......... ...... ...... ........ ...... 22
2.3.1. Economic Impact Analy sis ....... ....... ........ ...... ...... ........ ......... ......... ...... ....... ....... ...... 25
2.3.2. Computable General Equilibrium Analysis....... ....... ......... ....... ....... ...... ........ .... 30
2.3.3. Ex Post Econometric Analysis ....... ......... ........ ...... ...... ........ ......... ......... ...... ....... .... 30
3 METHODOLOGY............................................................................................................ 39
3.3.1. Ex Post Analysis of Economic Impacts ............................................................... 43
3.3.2. Modelling the Strategic Nature of Facility and Event Subsidisation .....45
3.3.3. Measuring the Consumers Surplus Benefits of Provincial Rugby
Attendance ...... ........ ........ ....... ...... ........ ........ ....... ...... ....... ........ ...... ...... ......... ........ ...... ...... ....... . 45
4 WESTPAC STADIUM: THE IMPACT ON THE WELLINGTON REGIONAL
ECONOMY ............................................................................................................................ 47
4.2.1. United States................................................................................................................48
4.2.2. Europe ............................................................................................................................504.2.3. Australia ........................................................................................................................ 51
4.3.1. The First Five Years: An Evaluation....................................................................57
4.4.1. Employment Models .................................................................................................. 60
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4.4.2 Data .................................................................................................................................. 63
4.5.1. Facility Construction Effects..................................................................................67
4.5.2. Post Construction Stadium Activity: The First Five Years ..........................70
5 FACILITY CONSTRUCTION AND THE HOSTING OF INTERNATIONAL EVENTS
IN NEW ZEALAND: EX POST IMPACTS ON LOCAL ECONOMIES .......................... 75
5.4.1. Facility Construction Models ................................................................................. 86
5.4.2. Event Models ................................................................................................................89
5.4.3. Data.................................................................................................................................98
5.5.1. The Effect of Facility Construction on Local Economies .......................... 101
5.5.2. The Effect of International Events on Local Economies........................... 112
5.5.3. Events, Facilities and Local Economies: Does Location Matter? .......... 118
6 THE SUBSIDISATION OF EVENTS AND FACILITIES: A GAME THEORY
APPROACH ............................................. ........................................................................... 129
6.5.1. Identical Cities.......................................................................................................... 137
6.5.2. Large City versus Small City................................................................................ 142
7 INTANGIBLE BENEFITS AND THEIR ROLE IN LOCAL GOVERNMENT
FUNDING OF SPORTS FACILITIES: A CASE STUDY OF WANGANUI RUGBY ....149
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7.5.1. Data.............................................................................................................................. 159
8 CONCLUSION ................................................................................................................179
8.2.1. Major Findings of the Research ......................................................................... 179
8.2.2. The Sequential Development of Sports Facilities: How the Research
Informs the Framework.................................................................................................... 182
8.2.3. Policy Implications ................................................................................................. 184
REFERENCES.....................................................................................................................190
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TABLES
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FIGURES
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1THESIS INTRODUCTION1.1. INTRODUCTION
1.2. THE NEW ZEALAND SPORTING LANDSCAPE
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1.2.1. Internationally Oriented Events Hosted in New Zealand
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1.2.2. The Major Events Development Fund
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Figure 1.1: Criteria for Major Events Development Fund Applications
One Off Benefits
Legacy Benefits
Event Capability Benefits
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1.2.3. Facility Construction in New Zealand
1.3. RESEARCH OBJECTIVES AND QUESTIONS
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1.4. WESTPAC STADIUM: THE IMPACT ON THE WELLINGTON REGIONAL ECONOMY
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1.5. FACILITYCONSTRUCTION AND THE HOSTING OF INTERNATIONAL EVENTS IN NEW
ZEALAND: EX POST IMPACTS ON LOCAL ECONOMIES
1.6. THE SUBSIDISATION OF EVENTS AND FACILITIES: A GAME THEORYAPPROACH
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1.7. INTANGIBLE BENEFITS AND THEIR ROLE IN GOVERNMENT FUNDING OF SPORTS
FACILITIES: A CASE STUDY OF WANGANUI RUGBY
1.8. THE ORGANISATION OF THE THESIS
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2LITERATURE REVIEW
2.1. INTRODUCTION
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2.2. INDEPENDENT RESEARCHINTO ECONOMIC OUTCOMES OF SPORTS FACILITIES AND
EVENTS
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2.2.1. Income Generation
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2.2.2. Job Creation
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2.2.3. Earnings
2.2.5. Real Estate Values
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2.2.6. Mega events
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2.2.7. Intangibles
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2.3. EX ANTE VERSUS EX POSTANALYSIS OF SPORTS FACILITIES AND EVENTS
2.3.1. Economic Impact Analysis
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2.3.2. Computable General Equilibrium Analysis
2.3.3. Ex Post Econometric Analysis
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2.4. THE ECONOMIC JUSTIFICATION FOR GOVERNMENT INVOLVEMENT IN SPORTS FACILITIES
AND EVENTS: WHAT SHOULD BE CONSIDERED?
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Figure 2.1: The Psychic Income Paradigm
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2.5. SUMMARY
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3METHODOLOGY
3.1. INTRODUCTION
3.2CONCEPTUAL FRAMEWORK
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Figure 3.1: A Conceptual Framework for Facility Development
Catalyst forChange
ConstructionStage
Event(s)Stage
Legacy Stage
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3.3. METHODSADOPTED: A BRIEF SUMMARY
3.3.1. Ex Post Analysis of Economic Impacts
i t
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3.3.2. Modelling the Strategic Nature of Facility and Event Subsidisation
3.3.3. Measuring the Consumers Surplus Benefits of Provincial Rugby
Attendance
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4WESTPAC STADIUM:
THE IMPACT ON THE WELLINGTON
REGIONAL ECONOMY
4.1. INTRODUCTION
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4.2. FACILITIES: THE INTERNATIONAL EXPERIENCE
4.2.1. United States
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4.2.2. Europe
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4.2.3. Australia
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4.3. WESTPAC STADIUM: THE CATALYST FOR CHANGE
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Table 4.1: Allocation of Components Contracts for Regional Stadium (December
1998)
Local Area Value of contract work
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Table 4.2: Annual Attendance at Westpac Stadium, 2000 2009
Year Attendance
Figure 4.1: Net Operating Surpluses ($m): Westpac Stadium, 2000 2009
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
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4.3.1. The First Five Years: An Evaluation
Table 4.3: Predicted Ex Ante Impacts Versus Estimated Ex Post Impacts
1996 estimate
(annual)
2000 2004
(average)
Difference
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Table 4.4: Estimated Employment Effects on Wellington Region, 2000 2004
Year Estimated Total
Employment Effect
FTE (December
quarter)
Percentage of
employment
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4.4. MODELS AND DATA
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4.4.1. Employment Models
ttttt
ttt
eTIMEQTEPAPASTADINT
RAWELFNZFTEFTE
7654
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tt
tttt
ttt
eTIMEQ
TEPAPAPOSTSTADSTADINT
RAWELFNZFTEFTE
7
654
3210 _
FTEt t
FTE_NZt
LFt
RAWEt
INTt
STADt
TEPAPAt
Qt
POSTSTADt
TIME
et
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POSTSTADt
FIRST_FIVE_YEARS
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STADt
POSTSTADt
FTE_NZ RAWE LF
FTE_NZ RAWE
GFTE_NZ GRAWE LF DLF
FTE
INT
FTE, GFTE_NZ, GRAWE
d99Q3
t
tttt
ttt
eQd
TIMEQTEPAPASTADINT
DLFGRAWENZGFTEFTE
399
_
8
7654
3210
tt
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eQdTIMEQTEPAPAPOSTSTADSTADINT
DLFGRAWENZGFTEFTE
399
_
87
654
3210
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4.4.2 Data
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Table4.5:Varia
bleDefinitionsandSummaryS
tatistics
Variable
Defin
ition
Info
share(StatisticsNew
Zealand)sourcecategory:
Mean
Standard
Deviation
Minimum
Maximum
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Table 4.6: Unit Root Tests for Stationarity
Variable Trend and
intercept
p value
4.5. RESULTS
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4.5.1. Facility Construction Effects
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Table 4.7: Stadium Construction and Employment Estimated Parameters
Variable Coefficient Prob. Coefficient Prob.
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4.5.2. Post Construction Stadium Activity: The First Five Years
POSTSTADt
FIRST_FIVE_YEARS
YEAR_1, YEAR_2, YEAR_3,
YEAR_4 YEAR_5
GRAWE
POSTSTADt FIRST_FIVE_YEARS
STADt
STAD FIRST_FIVE_YEARS
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Table 4.8: Post Construction Activity and Employment Estimated Parameters
Variable Coefficient Prob. Coefficient Prob.
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YEAR_1 YEAR_5YEAR_1 YEAR_2 YEAR_3
YEAR_4 YEAR_5
YEAR_5 YEAR_4
YEAR_4
STAD
YEAR
STAD YEAR
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4.6. CONCLUSIONS
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5FACILITY CONSTRUCTION AND THE HOSTING OF
INTERNATIONAL EVENTS IN NEW ZEALAND:
EX POST IMPACTS ON LOCAL ECONOMIES
5.1. INTRODUCTION
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5.2. FACILITYDEVELOPMENTS IN NEW ZEALAND
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Table5.1:StadiumConstructio
nDetailsintheNorthIsland,N
ewZealand,19972009.
City
Stadium
TypeofConstruction
Construction
period
Valueofconstruction
work
Publicfu
ndingdetails
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Table5.2:StadiumConstructio
nDetailsintheSouthIsland,N
ewZealand19972009.
City
Stadium
TypeofConstru
ction
Year
opened/upgraded
Val
ueofconstruction
work
Publicfu
ndingdetails
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5.3. THE EVENTS
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Table 5.3: Sporting Mega Events hosted in New Zealand, 1997 2009
Event Date(s) of Event Host City
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Table 5.4: Host cities for 1999 FIFA U 17 Soccer World Championships (Men)
City Games Hosted
Table 5.5: Host cities for 2005 British and Irish Lions Tour
City Games Hosted
Table 5.6: Host cities for 2008 FIFA U 17 Soccer World Championships (Women)
City Games Hosted
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Table 5.7: Economic Impacts of Selected Major New Zealand Sports Events
Year Event Economic Impact
(NZ$ million)
Real GDP
(production,
NZ$ million)
Percent
of GDP
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5.4. MODELS AND DATA
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5.4.1. Facility Construction Models
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i t
i t
t
t
t
t
t
t
i t
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SHARE_AFF SHARE_MANUF
SHARE_TTS SHARE_SERV
NM
LQ_EMP_CONST
i
LD_RRET_SALES
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FCON_TOTAL
STAD ARENA MOTOR VELO
5.4.2. Event Models
i t
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Table5.8:Locationspecificdependentandindependentvariables(
)
Variable
Description
Infometrics
Industry
category
Mean
Standard
Deviation
Minimum
M
aximum
t
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Table5.9:Facility
constructionspecificvariable
s(
)
Variable
Description
Facility
type
Mean
Standard
Deviation
MinimumM
aximum
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i t
i
t
t
t
t
t
t
t
t
t
t
EVENTit
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Table5.10:Locationspe
cificdependentandindepende
ntvariables(
)
Variable
Description
Infometrics
Industry
category
Mean
Standard
Deviation
Minimum
Maximum
t
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Table5.11:Eventspecificvariables(
)
Variable(s)
Description
Mean
Standard
Deviation
Minimum
Maximum
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5.4.3. Data
Table 5.12: Territorial Local Authorities Used in Model Estimation
Facility Construction TLAs Event TLAs
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Table 5.13: Augmented Dickey Fuller (ADF) Panel Unit Root Tests
Variable Statistic
(Fisher chi square)
Prob. Cross sections Obs.
Null: Unit root (assumes individual unit root process)
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5.5. RESULTS
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5.5.1. The Effect of Facility Construction on Local Economies
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Table 5.14: Construction Sector E mployment Results Parameter Estimates
(FCON)
Equation 5.1: Pooled OLS690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: EMP_CONST
Equation 5.1: Panel Least Squares,Cross section and period fixed
effects690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: EMP_CONSTWhite diagonal standard errors
Variable Coefficient p value Coefficient p value
Test Test statistic P value F Test statistic P value
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Table 5.15: Construction Sector E mployment Results Parameter Estimates
(Facility Types)
Equation 5.1: Pooled OLS690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: EMP_CONST
Equation 5.1:Panel Least Squares,Cross section and period fixed
effects690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: EMP_CONSTWhite diagonal standard errors
Variable Coefficient p value Coefficient p value
Test Test statistic P value F Test statistic P value
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Table 5.16: Construction Sector E mployment Results Parameter Estimates
(Individual Facilities)
Equation 5.1: Pooled OLS690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: EMP_CONST
Equation 5.1: Panel Least Squares,Cross section and period fixed
effects690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: EMP_CONSTWhite diagonal standard errors
Variable Coefficient p value Coefficient p value
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Test Test statistic P value F Test statistic P value
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Table 5.17: Real GDP results Parameter Estimates (FCON)
Equation 5.2: Pooled OLS690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: GDP
Equation 5.2: Panel Least Squares,Cross section and period fixed
effects690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: GDPWhite diagonal standard errors
Variable Coefficient p value Coefficient p value
Test Test statistic P value F Test statistic P value
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Table 5.18: Real GDP Results Parameter Estimates (Facility Types)
Equation 5.2: Pooled OLS690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: GDP
Equation 2: Panel Least Squares,Cross section and period fixed
effects690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: GDPWhite diagonal standard errors
Variable Coefficient p value Coefficient p value
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Test Test statistic P value F Test statistic P value
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Table 5.19: Real GDP Results Parameter Estimates (Individual Facilities)
Equation 5.2: Pooled OLS690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: GDP
Equation 5.2: Panel Least Squares,Cross section and period fixed
effects690 observations
15 cross sectional unitsTime series length = 46
Dependent variable: GDPWhite diagonal standard errors
Variable Coefficient p value Coefficient p value
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Test Test statistic P value F Test statistic P value
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5.5.2. The Effect of International Events on Local Economies
Table 5.20: Accommodation, Cafs and Restaurants Employment Results
Parameter Estimates (Events)
Equation 5.4: Pooled OLS736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: EMP_ACR
Equation 5.4: Panel Least Squares,Cross section and period fixed
effects736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: EMP_ACR
Variable Coefficient p value Coefficient p value
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Test Test statistic P value F Test statistic P value
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Table 5.21: GDP Results Parameter Estimates (Events)
Equation 5.5: Pooled OLS736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: GDP
Equation 5.5: Panel Least Squares,Cross section and period fixed
effects736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: GDP
Variable Coefficient p value Coefficient p value
Test Test statistic P value F Test statistic P value
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5.5.3. Events, Facilities and Local Economies: Does Location Matter?
j i t
X_DIST
X
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Table 5.22: Accommodation, Cafs and Restaurants Employment Results
Parameter Estimates (Distance Decay)
Equation 5.6: Pooled OLS736 observations
16 cross sectional unitsTime series length = 46Dependent variable: EMP_ACR
Equation 5.6: Panel Least Squares,Cross section & period fixed
effects736 observations16 cross sectional unitsTime series length = 46
Dependent variable: EMP_ACR
Variable Coefficient p value Coefficient p value
Test Test statistic P value F Test statistic P value
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Table 5.23: GDP results Parameter Estimates (Distance Decay)
Equation 5.7: Pooled OLS736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: GDP
Equation 5.7: Panel Least Squares,Cross section and period fixed
effects736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: GDP
Variable Coefficient p value Coefficient p value
Test Test statistic P value F Test statistic P value
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X_CAP
X_DIST*CAP
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Table 5.24: Accommodation, Cafs and Restaurants Employment Results
Parameter Estimates (Amended Distance Decay)
Equation 5.6: Pooled OLS736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: EMP_ACR
Equation 5.6: Panel Least Squares,Cross section & period fixed
effects736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: EMP_ACR
Variable Coefficient p value Coefficient p value
Test Test statistic P value F Test statistic P value
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Table 5.25: GDP Results Parameter Estimates (Amended Distance Decay)
Equation 5.7: Pooled OLS736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: GDP
Equation 5.7: Panel Least Squares,Cross section & period fixed
effects736 observations
16 cross sectional unitsTime series length = 46
Dependent variable: GDP
Variable Coefficient p value Coefficient p value
Test Test statistic P value F Test statistic P value
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Table 5.26: Effective Distance Parameter Estimates and Critical Capacities
Model Event Effective Distance Coefficient Cr itical Facilit y Capacity
(positive economic impact)
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5.6. CONCLUSIONS
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6THE SUBSIDISATION OF EVENTS AND FACILITIES:
A GAME THEORY APPROACH
6.1. INTRODUCTION
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6.2. BACKGROUND
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6.3. LITERATURE REVIEW
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6.4THEORETICAL MODEL
x y
E
x
),( , xyxxx AEEBB
Ex Ey x y Ax x
Ex Ax
x Ey
),(),,(xxxxyxxx
AEIBAEETBB
TB
IB
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x
Cx y x Sx
x
Cx
)(),( xxxxxx ESAECC
Cx Sx.
)](),([),(),,( xxxxxxxxxyxxx ESEACAEIBAEETBNB
)]()([),(),,( yyyyyyyyyxyyy ESEACAEIBAEETBNB
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Figure 6.1: Net Benefits of Event Hosting
y
x x: IBx Sx, y: IBy Sy x: TBy + IBx Sx, y: TBy
x: TBx, y: TBx + IBy Sy x y
Ex Ey
y
x
x
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x
y
6.5. ESTABLISHING THRESHOLDS FOR SUBSIDISATION
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x y Ax Ay x y Ax
Ay
6.5.1. Identical Cities
Lets call them Auckland
and Wellington)
without a Wellington
race
meaning that the resulting effect on Wellington is a
loss of $10m in tangible benefits without an
Auckland race
with the resulting effect on
Auckland being a loss of $10m in tangible benefits Up to this point, we can think
of this example as a zero sum game
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which implies that there is a negative net benefit associated with not hosting
the event of 20% of the citys tangible benefits
that is, $10m $8m
Figure 6.2: Net Benefits without a Subsidy (Lallys Example)
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Figure 6.3: Net Benefits with a $6m Subsidy (Lallys Example)
Figure 6.4: Net Benefits with an $11m Subsidy (Lallys Example)
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Figure 6.5: Net Benefits with a $13m Subsidy (Lallys Example)
awAA w a
aw TBTB
0aw IBIB
a w
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aw TBS 1)(a
wwa NBSTB 1)(a
ww NBS 0)(a
aa TBS 1)(w
aaa NBSTB 1)(w
aa NBS 0)(w
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6.5.2. Large City versus Small City
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Figure 6.6: Net benefits without a Subsidy (Large (A) vs Small (W) city)
Figure 6.7: Net Benefits with an $8m Subsidy (Large [A] vs Small [W] City)
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Figure 6.8: Net Benefits with a $15m Subsidy (Large [A] vs Small [W] City)
Figure 6.9: Net Benefits with a $25m Subsidy (Large [A] vs Small [W] City)
awAA
awTBTB 0
awIBIB
SSS aw
wTBS0 1)(,1)( wa
aw NBSTB 1)(,1)( wa
aa TBSNB 1)(,1)( wa
wa NBSTB 1)(,0)( wa
wNBS 0)(,0)( wa
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6.5. CONCLUSIONS
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7INTANGIBLE BENEFITS AND THEIR ROLE INLOCAL GOVERNMENT FUNDING OF SPORTS
FACILITIES: A CASE STUDY OF WANGANUI RUGBY
7.1. INTRODUCTION
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7.3. A BRIEF HISTORY OF THE NATIONAL PROVINCIAL CHAMPIONSHIP
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7.4. LITERATURE REVIEW
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7.5. MODEL AND DATA
it
CSC
itit
CP
iti
E
itiit eXXXATT
itATT i t
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Figure 7.1: Average Attendance at Games in Wanganui, 1972 1994
E
itX REAL_PRICE
DIST_HRS
WMRU SKY
0
500
1000
1500
2000
2500
3000
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
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WMRU
SKY
CP
itX
ATTi 1,t
CSC
itX
TARA
DIV2NI DIV2 DIV3 INT_T1 DIV3SF
DIV3F PROMPY RELPY
PRENPC NPC1 NPC2 NPC3 NPC4
i t
i t
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TARA
Figure 7.2: Attendance at Wanganui vs Taranaki (Queens Birthday) Games
DIV2NI, DIV2 DIV3
PROMPY RELPY
DIV3SF DIV3F
0
1000
2000
3000
4000
5000
6000
7000
8000
Jun
72
Jun
75
Jun
78
Jun
81
Jun
84
Jun
87
Jun
90
Jun
93
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INT_T1
PRENPC NPC1 NPC2 NPC3 NPC4
PRENPC NPC
TIME
GAME
MWK
itttttt
tttttit
itititititit
tiitititit
eMWKGAMETIMESKYNPC
NPCNPCPRENPCRELPYPROMPYFDIV
SFDIVTINTDIVDIVNIDIVTARA
ATTWMRUHRSDISTPRICEREALATT
1716151413
121110987
654321
1,13210
4
313
31_322
__
NPC2
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7.5.1. Data
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Table7.1:Variables
,Definitions,SourceandSumm
aryStatistics
Variable
Definition
DataSource
Mean
Standard
Deviation
Minim
um
Maximum
ATT
REAL_PRICE
DIST
_HRS
WMRU
TARA
INT_T1
PRENPC
NPC1
REAL_PRICE
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NPC2
NPC3
NPC4
DIV2NI
DIV2
DIV3
DIV3SF
DIV3F
PROMPY
RELPY
SKY
MWK
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Table 7.2: Unit Root Tests of Time Series Variables
Variable H0: Constant, Trend
Test Statistic
p value
ATT
REAL_PRICE
DIST_HRS
WMRU
D_WMRU
.
ATT REAL_PRICE DIST_HRS WMRU
WMRU
D_WMRU
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7.6. RESULTS
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Table7.3:ModelEstimation:Attendanc
e
Model7.1(Linear):
DependentVariable:ATT
Method:LeastSquares
Includedobservations:169
afteradjustments
(WhiteHeteroskedasticity
ConsistentStandardErrors
&Covariance)
Model7.2(LinLog):
De
pendentVariable:ATT
M
ethod:LeastSquares
Includedobservations:169
afteradjustments
(WhiteHeteroskedasticity
Con
sistentStandardErrors
&Covariance)
Model7.3(SemiLog):
DependentVariable:
LOG_A
TT
Method:LeastSquares
Included
observations:169
afteradjustments
(WhiteH
eteroskedasticity
ConsistentStandardErrors
&Covariance)
Model7.4(LogLog):
DependentVariable:
LOG_ATT
Method:LtSquares
Includedobservations:169
afteradju
stments
(WhiteHetero
skedasticity
ConsistentSta
ndardErrors
&Covar
iance)
Variable
Coefficient
pvalue
Coefficient
pvalue
Coefficient
pvalue
Coefficient
pvalue
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Test
Test
statistic
Pvalue
Test
statistic
Pvalue
Test
statistic
Pvalue
Test
statistic
Pvalue
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Table 7.4: Estimated Price Elasticities of Demand31
Model 7.1(Linear)
Model 7.2(Lin Log)
Model 7.3(Semi Log)
Model 7.4(Log Log)
(REAL_PRICE)/ATT /ATT (REAL_PRICE)
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PRENPC
NPC1 PRENPC
NPC3
NPC4
DIV2NI
DIV2
DIV3
DIV2
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7.7. MEASUREMENT OF CONSUMER SURPLUS AS ECONOMIC BENEFITS
1
2
2
ATTCS
linear
))(_(
))(max()_max(
1
1log
ATTPRICEREAL
ATTPRICEREALCSlin
1
log
ATTCSsemi
)]_(
))(max()_[(max(1
1
1
loglog
ATTPRICEREAL
ATTPRICEREALCS11
1
)_(
1
loglog
ATTPRICEREALCS 11
1REAL_PRICE
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Table 7.5: Estimates of Consumer Surplus Benefits Generated by Wanganui
Representative Rugby (in 1999 dollars)
Season
Model 7.1
(Linear)
($)
Model 7.2
(Lin Log)
($)
Model 7.3
(Semi Log)
($)
Model 7.4
(Log Log)
($)
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Table 7.6: Present Values of Consumer Surplus Benefits Generated by Wanganui
Representative Rugby (Average Season Estimates, in 1999 dollars)
Time (years)
Discount Rate (%) 20 30
2
4
6
10
15
20
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7.8. CONCLUSIONS
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8CONCLUSION8.1. INTRODUCTION
8.2. MAJOR FINDINGS AND POLICYIMPLICATIONS OF THE RESEARCH
8.2.1. Major Findings of the Research
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8.2.2. The Sequential Development of Sports Facilities: How the Research
Informs the Framework
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8.2.3. Policy Implications
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8.3. CONTRIBUTIONS OF THE RESEARCH
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8.4. LIMITATIONS OF THE RESEARCH
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8.5. SUGGESTIONS FOR FUTURE RESEARCH
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