Index

AAbandonments, 102, 168, 217, 227,

235Abu Dhabi, 12, 13, 128, 131, 137,

143, 146, 147, 150, 151, 155,156, 176, 206, 222

Academicians, 1, 93, 106, 286, 287Academy, 1, 2, 6, 93, 106, 147, 263,

286, 287Acceleration, 129Accident, 44, 212n4Accumulation, 219, 222Adaptation, 7, 180, 242Addicted, 92Administration, 70, 70n4, 71, 86,

166, 193Adoption, 6, 10, 14, 75, 183Adrenaline, 130Ads, 53, 90, 92, 93, 219

Advance, 6, 7, 11, 31n6, 43, 57, 91,165, 190, 244, 255

Advantage, 5, 46, 59, 60, 92, 94,117, 131, 135–136, 138, 160,172, 235, 243

Advertisement, 20, 42, 53, 79n13,84, 87, 89, 93, 94

Advertising, 45, 48, 56, 73, 76–79,82, 84–94, 104, 106, 195, 244,284

Advisors, 8, 31, 53, 69, 217Africa/African, 239, 241Age/Ageing, 84, 127–158, 203, 204,

216, 218, 223, 227, 235, 254,272, 276, 284

Agency/Agent, 10, 59, 158, 171Aguri, 42, 173Air, 13, 84, 256, 257, 262, 287Airboxes, 84

© The Author(s) 2017P. Mourão, The Economics of Motorsports,DOI 10.1057/978-1-137-60249-7

289

Aircraft, 52, 79Airports, 262Albania, 256n2Alcohol, 92Alfa Romeo, 158America/American, 22, 53,

60, 89, 99, 141, 239,241, 243

Amoroso-Robinson's Formula, 75Andrea de Cesaris, 231, 285Andretti, Mario, 13, 235Arabia, 256n2, 278Argentina/Argentinian, 241Aristotle, 18, 98Armenia, 256n2Ascari, 140Asia/Asian, 239, 241Asset(s), 69, 85, 168, 172, 216, 218,

255, 258Athlete, 57, 85, 135, 207Attention, 85, 96, 130, 136, 204,

211, 264, 284Attractiveness, 48, 256Audiences, 9, 11, 13, 69, 72, 77–78,

84, 88, 89, 116, 126Austin, 53, 62Australia/Australian, 8, 52,

241–243, 250Austria, 241–242, 264, 278Authorities, 46Autosport, 159, 166n3, 271Autoweek, 100Average, 34, 38, 40, 41, 42, 53, 54,

76, 78, 90–92, 94, 100, 116,117, 124, 132, 139, 158, 166,173, 174, 179, 180, 181, 193,219, 226, 248, 275, 276, 278

Average-cost, 38

Ayrton, 1–6, 12, 83, 131, 134, 138,216

Azerbaijan, 256n2

BBackstages, 83Bahrain, 76, 141Balance, 4, 11, 34, 42, 54, 60, 72,

77, 86, 88, 102, 106, 115, 116,118–122, 126, 154, 160, 175,182, 184, 186, 189, 191, 197,198, 219, 235, 253, 256, 258,264, 278

Bambino, 71Bank, 71, 71n5, 74, 86, 168, 174,

252, 255–256Barrichello, Ruben, 122, 126,

134n11, 206, 211Barriers, 45Barriers to entry, 45Baseball, 72Basketball, 60, 61, 72Bayerische, 71BBC, 94Beetle, 136Behavior, 59, 97, 185Belgium, 241Belmondo, 278Benefit, 2–4, 18, 30, 41, 46, 47,

49–52, 56–58, 86, 91, 100,103, 115, 171, 263, 284

Benetton, 83n16Bentham, 103Bernie, 14, 59, 70–72, 99, 211Bianchi, 212n4Billion, 17–21, 71n5, 72, 83Bio-mechanics, 57Bio-medicine, 11

290 Index

Birthplace, 249BMW, 99Boards, 1Bolivia, 256n2Bonus, 23, 83Bottom-ranked, 42, 121Bottom-starter, 143, 144, 154Brabham, 140, 172, 176, 250Braking, 285Brand(s), 41, 73n6, 79, 81, 81n14,

85–88, 91–93, 104, 106Brawn, 276Brazil, 241–243, 265Breaking, 2, 103Breakpoints, 124–126Briatore, 17, 83n16BRICS, 159Britain, 52, 76, 241, 278British, 52, 53, 57, 70n1, 71n5,

78n11, 141, 231Broadcasting, 4, 49, 56, 69, 72, 73,

77–79, 106, 284Brundle, 231, 285Budget(s), 8, 10, 30–34, 40, 60, 62,

81, 82, 102, 105, 159, 160, 184,191, 198, 220, 231, 233, 236,253, 256, 258, 264, 278, 283

Bulgaria, 256n2Business, 11, 17, 23, 87, 89, 91, 104,

168–169, 230Button, 1–6, 206

CCalendar, 47Canada, 240, 242, 243, 247Canadian, 275Capping, 60

Career, 134, 204, 207, 215, 222,227, 230, 235, 241, 285

Cash, 44, 87, 101, 106, 171, 263Causality, 266Causation, 246Centimeter-cubic, 126CEO, 28, 70, 72Cesaris, Andrea de, 231, 285Chairman, 28Challenge, 1, 11, 61, 62, 106, 185,

257, 266, 281Champagne, 80Championship, 10–13, 23–27, 42,

43, 100, 116, 118, 119n2, 120,122, 126, 135, 136, 144, 153,159, 172

Channel, 76, 78, 78n11, 85, 88, 89,93, 94, 106, 216, 244

Chapman, Colin, 85Charity, 20, 175n8Chassis, 4, 7, 8, 21, 22, 27, 31, 40,

41, 43, 45, 70, 130, 135, 136,142, 145, 148, 158, 165, 213,219, 231, 251, 252, 287, 288

Chess, 169n5Chief, 27, 28, 168Chiron, Louis, 203, 275Choice, 4, 10, 171, 196, 221, 271, 286Cigarettes, 93, 96Circuits, 21, 78, 117, 127–157, 160,

195, 214, 284Club, 80, 89, 99Coefficients, 125, 138–140, 143,

149, 152–154, 178, 179, 181,217, 227, 259, 260, 273

et coeteris paribus, 40–42Colombia, 247Coloni, 173–175, 195

Index 291

Combination, 13, 20, 43, 83, 103,131, 145, 189

Comeback race, 1–6Commercial, 22, 49, 61, 69, 70, 72,

78, 81, 83, 89, 91n20, 168,220, 239, 243, 257, 262

Communication, 27, 28, 136, 183,214, 252

Companies, 22, 48, 49, 52, 70–73,77, 79–81, 84, 91, 96, 98, 99,106, 284

Competencies, 47, 244, 253, 286Competitiveness, 59, 159, 219, 261,

284Components, 19, 28–31, 45, 79, 87,

175, 178Concorde (Agreement), 70, 74, 75,

80, 96, 100, 105, 261n6Constructors, 42, 43, 70, 75, 91,

106, 126, 159, 165, 185–191,193, 239, 243–246, 248–252,255–258, 261, 264, 265, 273,278, 284, 285

Consultancy, 31, 45, 57Consumers, 92, 93, 232Consumption, 51, 103, 126, 266,

287Contract, 216, 221, 226, 227Convex, 166, 213Corporate hospitality, 73, 80–81, 284Corporation(s), 71, 81, 88Correlation, 32, 83, 121, 142, 147,

154, 246Costs-benefits, 17–62Costs-of-a-formula-one-car, 28–30Cosworth, 23, 126, 135Coulthard, David, 235, 261, 278Cournot, 185, 190, 198

Covariates, 178, 180, 181, 223, 227,236, 255, 256

Crash, 2, 116, 133n10, 173Cross-sectional, 51Cup, 74n7, 89, 90Customers, 78n12, 89, 90CVC, 71, 71n5Cycle/Cycling/Cyclist, 86, 96, 116,

135, 136, 138, 140, 150–152,157, 261–262

DDanger, 73, 214, 219, 227Data, 11–13, 28, 58–61, 84, 95,

128–129, 274Database, 5, 11, 12, 147, 149, 176,

259, 271, 274–279, 280, 283,284, 286, 287

Datasources, 12, 13,255, 271, 272

Debts, 69, 173Decades, 21, 58, 62, 73, 81, 83,

85, 128, 130, 134, 138, 140,142, 152–154, 158, 160,180, 181, 195, 204, 207–209,211, 212, 214, 218, 221,227, 272

Decisionmakers, 174Deficit, 258, 264Deflation, 174Delta, 71, 73–81, 98, 99Demand, 13–14, 43–45, 76, 90–96,

104, 159, 178, 186, 189, 214,215, 236, 287

Democracy, 58, 241, 263, 266Demographics, 179Depreciations, 22

292 Index

Descriptive Statistics, 5, 12, 54, 180,222–223, 256, 259, 271–281,285

Design, 50, 79, 97, 136, 138,172, 286

Determinants, 4, 115–160, 165,176, 180, 186, 218–231, 246,251, 253, 257, 260, 266,273–275, 284

Development, 22, 23, 30–31, 45, 57,87, 88, 91, 96, 100, 101, 106,136, 147, 160, 222, 241, 244,251–253, 255, 256, 258,263–265, 281, 288

Deviation, 34, 81Dictatorship, 6Dijon-Prenois, 135, 138Dilemma, 45–46, 59–61, 215,

232–235Disappearance, 41, 197Discrimination, 75–77Disparities, 33Distribution, 29, 32, 72, 82, 84,

96–98, 100, 102, 103, 105,106, 128, 129, 134, 148, 159,178, 179, 181, 186, 223, 241,244, 246, 249–262, 274, 284

DNF, 180, 278DNQ, 180, 278Dorfman-Steiner Theorem, 93–96Driver, 7, 12, 27, 31, 43, 83, 87,

104, 118, 120–122, 127, 128,130, 131–135, 140–146, 148,154, 155, 157, 158, 160, 181,208–210, 215–223, 226, 227,230–232, 234–236, 241, 242,247, 248, 251, 259, 262, 265,272–276, 278, 284, 285, 288

Driver/race, 140, 274Driver-salaries-published, 23–27DTM, 88Dummies, 139, 153, 160, 180Duopoly, 72, 190Duration, 29, 89, 130, 182, 209,

227, 230, 285Dutch, 231Dynamics, 56, 103–104, 252, 262,

263, 286

EEarning, 197Ecclestone, 14, 59, 70–72, 99, 211Econometrics, 7–9, 128–129, 137,

142, 149, 184, 280Ecosystem, 232Ecuador, 256n2Education, 147, 158, 171, 241, 253,

262–263Effectiveness, 58, 60Effects, 49, 52, 56–58, 90, 92, 97,

104, 126, 131, 132, 139, 142,143, 146, 148, 149, 152, 154,190, 219

Efficiency, 31, 31n6, 91, 92,232–236

Effort, 1, 10, 13, 17–19, 44, 46, 47,85, 97–99, 101, 174, 195, 196,232, 245, 273, 280

Egypt, 256n2Elasticities, 76Elasticity, 76, 93–96Emerging, 263–264Emirates, 266Emotion, 22, 169n5Employment, 174

Index 293

Endogeneity, 256, 256n3, 259Engineering, 9, 11, 52, 136, 174,

219, 220, 244, 253, 265Engineers, 9, 21, 44, 52, 136,

147–148, 165, 245, 287England, 264Entrants, 165, 172, 176, 180, 181, 191,

193, 195, 198, 271, 284–285Entrepreneurs, 196, 255Entrepreneurship, 255Entry-fee, 31Environment, 54, 57, 70,

177, 198Estimation, 13, 18, 28, 43, 50, 54,

62, 78, 129, 132, 138, 149,181, 223, 227, 236, 273, 276,280, 281, 287

EURO, 4, 17, 18, 20, 23, 27, 41, 47,52, 54, 71, 78, 85, 99, 118,187, 231, 241, 265

Europe, 265European, 52, 78, 85, 118, 231, 241Evaluation, 2, 45, 99, 106, 122,

196, 252Evolution, 7, 32–34, 72, 73, 82, 101,

116n1, 117, 126, 138, 145,153, 154, 171, 173–174, 204,213, 217, 218, 274, 283

Exit/exiting, 14, 38, 40, 60, 105,180, 181, 190, 223, 235, 236

Exogenous, 43, 51, 171Exports, 242Externalities, 11, 50, 57

FFailure, 45, 102, 141, 168, 242,

259n5, 284

Fallacies, 262–264Fashion, 80, 84, 183Fasiani, 172n6, 173n7Fatalities, 214Fees, 4, 31, 31n7, 48, 53, 73–76,

80–81, 193, 240, 253, 284Ferrari, 13, 18–21, 27n1, 29,

31, 34, 44, 60, 62, 87,99–101, 122, 126, 176,209–214, 233, 235, 261,275–276, 278

Ferrari, Enzo, 13FIA, 12, 31, 31n6, 45, 48, 53, 70,

72, 74, 165, 208Finance, 9, 70, 72Finland, 241–242, 265, 278Firms, 30n5, 48, 49, 51, 86,

90–94, 138, 144, 166,168, 171–172, 185, 205,232, 239, 263, 283

FISA, 70, 70n2Fittipaldi, 191, 266FOCA, 70FOCA-FISA, 70n2FOM, 70, 70n4, 71, 80Ford, 21, 126, 135, 191Formula Ford, 159, 264Founders, 174, 245France, 19, 20, 135, 241–243French, 2, 138, 141Funding, 44, 58, 73, 244, 263, 265

GGamblers, 254Game, 57, 81n14, 85, 216, 233, 235Garage, 18, 198, 245Gas, 44

294 Index

GDP, 76, 236, 244, 252, 256,262–264, 266, 278, 279

Gearbox, 141Gender, 84, 133n10Generations, 70n1, 72, 106, 127,

172, 215–216, 280Geo-economics, 285Geopolitics, 241German, 134n11, 231, 241n1Germany, 76, 241, 243, 264Government, 20, 48, 49, 51, 59,

88n17, 97, 245, 253, 255, 256,258, 258n4

Grand Chelem, 131, 131n9Greece, 10, 127, 278Greeks, 98Growth, 74, 76, 102, 158, 159, 252,

253, 256, 259, 263, 264, 266Guarantees, 27, 273Guatemala, 256n2Guiness, 274

HHakinnen, Mika, 242, 250Hakkinen-Coulthard, 235Hamilton, Lewis, 87, 118, 122n5,

134, 141, 216Hausman-type, 142, 152, 154Hayek, F., 102Hazard, 97, 176–182, 217, 223, 230Headquarter, 129, 142, 198, 231, 263Health, 127, 136, 158, 183, 196,

205, 286Hirschman-Herfindahl

index, 119–126Hometown, 59Honda, 29, 31n6, 88, 168–169Honduras, 256n2

Hope, 3, 165–175, 233, 234,273, 288

Horsepower, 126, 136, 160, 287Hospitality, 28, 31, 73, 80–81, 83, 284Hospitals, 58Households, 51HRT, 27n1, 40, 42Hungaroring, 138Hungary, 241Hunt, 20, 21, 288Hypotheses, 3, 5, 6, 135, 255,

281, 286

IIdiosyncrasies, 6Idiosyncrasy, 14Illusion, 173, 173n7Imbalance, 61, 122, 124–126, 187,

188, 193Incentives, 4, 116, 219, 243, 244, 253Income, 19, 23, 47, 49, 53, 56,

69–81, 97, 158, 159, 166n3,244, 253, 256, 259, 263

Indebtedness, 57, 58, 86India, 240, 243, 247Indianapolis, 214Indicators, 53, 93, 119, 122, 124,

255, 264, 273Industry, 4, 5, 7, 9–11, 14, 17–21,

38–40, 48, 72, 73, 87, 88, 92,97, 99, 106, 116, 166, 177,198, 215–218, 222, 223, 233,244, 245, 252, 258

IndyCar, 38, 74n7Inefficiency, 92Inelastic, 76, 186Inequalities, 62, 100, 102Inflation, 78, 256

Index 295

Inflation-unemployment, 252Injuries, 44Input-Output, 51Insolvency, 41, 60Inspections, 136, 141Institutions, 10, 19, 20, 171, 241,

255, 266Instruments, 19, 20Investment, 45, 48, 57, 71–73, 81,

83, 91, 94, 98, 103–104, 158,168, 169, 171, 173, 196, 244,245, 252, 253, 263

Investor, 6, 8, 21, 44, 60, 70, 72, 73,89, 91, 96, 98, 103, 128, 145,147, 148, 158, 166, 168, 183,196, 220, 264

Ireland, 250, 278Italian, 100, 116, 172, 174, 231Italy, 76, 241–243, 278

JJaguar, 42Jail, 234Jockeys, 99Jordan, 89Journalists, 6, 60, 283Junior series, 73, 80–81, 128, 242, 284

KKaplan-Meier, 175, 177, 205–207,

209Keynes, John Maynard, 56Keynesian, 56Korea, 278Kuwait, 278Kuznets, S., 51

LLabor, 214Laboratories, 245lapped, 129Lap(s), 2, 131, 147Latvala, Jari-Matti, 242Latvia, 256n2Lauda, Niki, 12, 128,

216, 288Lavoisier, 18, 47Law(s), 59, 132, 168, 246, 253,

265, 280Leadership, 91, 196Leads, 44, 60, 92, 104, 116, 149,

187n14, 219Leontieff, W., 51Lerner, 94Liabilities, 44, 87Liberal, 70n1Ligier, 176Likelihood, 132, 178, 181Lithuania, 256n2Loan, 48, 71n5, 86Logistics, 28, 253Logit, 128–129, 131, 132, 139, 142,

143, 146, 148–152, 154–156,160, 258

Log-odds, 149, 150, 152Log-Rank, 180, 208, 210, 223Lola, 105, 170,

172–173, 195Long-term, 38–40, 57–58, 72, 87,

91, 263n6, 284Low-budget, 120, 197–198, 230,

232, 233, 236Low-ranked, 120Luxembourg, 71Luxury, 56

296 Index

MMacroeconomics, 51, 258Malaysia, 54Management, 31n6, 70, 73, 80,

102–104, 106, 129, 130, 169,207, 215, 240, 287

Manager, 7, 23, 27, 28, 44–46, 52,60, 73, 75, 87, 94, 99, 102,103, 147–148, 168, 172, 174,181, 195, 196, 216, 219, 233,243, 263–264, 287

Mansell, Nigel, 7, 141, 211, 216, 235Manufacturers, 22, 43, 88, 121n3, 265Maranello, 31n6, 100, 211Marina Bay, 138Markets, 14, 19, 20, 29, 40–43,

48, 56, 61, 72, 76, 86–88,94, 96, 106, 126, 166n1,168–169, 185, 186, 188, 189,191, 214–215, 244, 246,251–253, 255

Marlboro, 95Marshals, 54, 211n2Martini, Pier-Luigi, 231Marussia, 31Massa, Felipe, 118, 138, 211, 261Matra, 21McLaren, 85, 99, 104, 172, 176,

209–214, 261Measures, 17, 19, 20, 34, 48,

50, 82, 100, 124, 134,142, 169, 186, 187, 193,246, 252, 274

Mechanisms, 204, 263Media, 4, 48, 54, 71, 78, 78n12,

84, 87, 88, 89, 104, 106,130, 216, 254

Median, 55, 81, 83, 84, 174, 184

Medicine, 11Mega-Events, 50, 52, 57, 58, 76Mercedes, 29, 31, 34, 60, 88, 99,

233, 275–276Merchandising, 48, 54, 71, 81n14,

83, 262Mexican, 134n11Microeconometrics, 8–9Microeconomics, 8, 75, 283Middle-ranked, 121Minardi, 176Monaco, 53–54, 79, 204, 241, 275Monocoque, 27, 31Monopolist, 75–76Monopolistic, 76, 90Monza, 53, 116, 131Morocco, 241MotoGP, 96Motorsports, 1–10, 13, 21–23, 28,

29, 34, 42, 46–61, 72, 76–78,80, 88, 93, 96, 97, 99,103–104, 117, 120, 127, 135,142, 145, 150–152, 158–160,166, 168, 175, 195–197, 204,205, 211n3, 215, 216, 222,232–235, 239, 241, 242, 244,245, 251–254, 261n6,262–265, 271, 273, 280, 281,283, 286–288

Mph, 130

NNASCAR, 22, 53, 61, 74n7, 96, 97,

99, 103NBA, 60Netherlands, 241n1Newcomers, 76

Index 297

New-Zealander, 250Nietzsche, 116Nonprofit, 47, 170Norway, 256n2, 278Nurburgring, 118, 214

OOdds, 259, 259n5OECD, 278Off-contract, 59Offshores, 262–264Off-track, 47OICA, 243Oligopolistic, 11, 60, 185, 222Oligopoly, 39Olympiads, 127Olympics, 57, 85, 89Oman, 203, 256n2, 278Open-wheeled, 159Oporto, 117Optimization, 193Osella, 173–175, 195Overtakes, 138Overtaking, 138, 140Oxfordshire, 52

PPacific-Ilmor, 276Paddock, 47, 80, 81, 89, 128, 181,

195, 230, 262, 284Panel-data, 128–129, 142, 149, 258Pareto, 172–173, 173n7Parties, 48Partnerships, 87, 91, 104, 235Pastor Maldonado, 88n17

Pay-drivers, 81, 83, 128Pay-TV, 78, 78n11Peru, 256n2Philippines, 256n2Piquet, Nelson, 138, 216, 266Piranha Club, 99Pit, 129, 130, 145, 183PitPass, 99Plato, 18Podiums, 11, 22, 23, 27, 30, 31,

41, 104, 118, 120, 127, 134,135, 141, 142, 144–145, 147,154, 155, 157–160, 216, 219,220, 226–227, 230–233, 275,278, 285

Point-maximizing, 41Points-earner, 219Poles, 134Politicians, 6, 58, 60Politics, 5, 58, 61, 72, 76, 98, 98,

141, 173n7, 266, 278, 283,285, 288

Portugal, 117, 254, 265Portuguese, 59Position, 2, 23, 91, 94, 101,

118, 129, 130–135, 137,138, 140–144, 145n14,147–150, 152–154, 157,158, 160, 172, 189, 223,227, 284, 288

Poverty, 262Power, 11, 29–31, 31n6, 60, 76, 85,

91, 92, 118, 165–175, 222,232, 244, 253

Price, 7, 19, 29, 34, 51, 53, 75–76,78, 80, 84, 91, 92, 94, 98, 106,166, 174, 185, 187, 193, 221,252, 265

298 Index

Priceless, 13Prize Money, 42, 73, 74, 81–83,

96–106, 195, 284Probabilities, 31, 62, 92, 106, 120,

127–129, 130–134, 138–145,148, 149, 154, 155, 157, 158,166, 175, 178, 181, 205, 206,209–211, 217, 226, 227, 241,242, 244, 245, 259, 259n5,261, 281, 284

Probit, 128Producer, 158, 183Production, 21, 51, 57, 94, 96, 168,

239, 243, 265profit-maximizing, 40, 75Profits, 40, 41, 72, 73, 75, 93, 94,

98–100, 174, 175Public, 46–49, 50, 54, 57–59, 104,

244, 253, 254, 256, 258, 264,272, 278

Punishment, 233P-value, 137n12, 142, 180, 187,

223, 258n4, 261, 280, 281

QQatar, 71, 256n2, 278Qatari, 71Quasi-Fixed Costs, 22–30

RRace, 1–6, 8–13, 17, 21, 22, 27,

29, 38, 45–50, 52–58, 61,73, 73n6, 74–80, 87–89, 97,99, 116, 116n1, 118, 121n3,122, 124, 126–145, 147–150,

152–155, 157–160, 174–176,178, 180, 182, 189, 195, 196,203, 204–206, 208–211, 213,213, 216, 218–223, 226, 227,230–232, 235, 239–264, 272,276, 278, 281, 283–288

Racer, 2, 116, 117, 120, 127–159,204, 208, 215

Raikkonen, Kimi, 24, 25, 118, 242,250, 278

Rationality, 2, 171–172Ratios, 220Rear-engine, 172Rebranding, 41Records, 5, 10, 12, 55, 134, 136,

140, 180, 223, 256, 271–281,285

Redbull, 23, 99, 276, 278Redistribution, 96, 102–103, 284Refueling, 126Regressions, 128, 176–178, 180,

181, 208, 217, 223, 226, 236,261, 285

Regressors, 137n12Regulations, 19, 39, 44, 79, 80, 88,

136, 140, 165, 181, 195, 196,222, 251, 253

Reimbursements, 7, 44Reputation, 20, 43–44, 168, 218Responsibility, 87, 175, 203Retirement, 2, 44, 203, 204, 216,

218Revenge, 288Revenues, 4, 11, 18, 40–42, 49, 53,

54, 69–106, 116, 159, 166,166n1, 166n3, 168, 173–175,179, 195, 196, 198, 215, 218,219, 222, 257–258, 274, 284

Index 299

Review, 254, 283–285Rewards, 97, 102, 103, 122n4, 144,

154, 171, 195, 221, 232–233,274–276

Rhodesia, 248Ricardo, David, 182, 207, 265Ricciardo, 122n5Risk, 43, 44, 88, 89, 102, 103, 174,

181, 195, 226, 227, 235, 242Rookies, 127, 204Rosberg, 122, 242, 250, 289RPM, 126, 136, 160, 287Rules, 23, 29, 40–44, 75, 76, 98,

105, 126, 130, 140, 185, 196,208, 214, 218, 222, 281

Rumors, 71Runner-up, 122, 122n4, 126

SSafety, 47, 207–208, 213, 240, 253Salaries, 22–28, 52, 215, 219Satellite, 51Sauber, 176Saudi, 256n2, 278Savings, 11, 49, 51, 158, 244, 258Scandinavian, 135Scarcity, 10, 13, 60, 280Schumacher, Michael, 12, 122, 126,

134, 140, 206, 211, 234, 261,275, 278, 285

Schumacher, Ralf, 211Schumpeter,J. A., 98Science, 4, 6, 7, 10, 11, 179, 183,

232, 233, 243, 283, 290Scope, 10Scotland, 71n5Scuderias, 85, 216, 232, 236

Season, 13, 18, 19, 22, 23, 27,29–31, 31n6, 32–34, 38, 40,43, 45, 47, 49, 72, 75, 78,79–84, 87–89, 96, 97, 99–103,105, 106, 116–118, 121, 122,124, 127, 134, 144, 149, 154,165–175, 179–182, 184–191,193, 195–197, 216, 219–223,226, 227, 231–233, 235, 236,241, 243, 244, 261, 263, 266,273–278, 280, 283, 288–290

Sebastien Vettel, 122n5, 140, 144,216, 290

Security, 57Senna, Ayrton, 1–6, 12, 21, 83, 131,

133, 134, 138, 216, 268, 290Shareholders, 60, 71, 72, 99, 172,

196Short-term, 39, 40, 57–58, 87, 166,

218, 263n6Shutdown, 165–175Silverstone, 12–13, 53, 55, 128, 131,

141, 147, 158, 222, 285Singapore, 56, 76, 138, 268Slavica, 71SLEC, 70, 71Soccer, 4, 60, 61, 72, 77, 78, 87, 89,

141, 266Socioeconomic, 51, 84, 183, 198Space(s), 6, 79, 88, 94, 104, 126,

129–130, 198, 214, 253,254, 262

Spain, 76, 265Spanish, 122n5, 158Spectators, 72, 77, 78, 89Speed, 116, 127, 145, 160, 205,

245, 252Speedway, 23

300 Index

Spending, 41, 57, 58, 93, 101Sponsor, 8, 27, 27n1, 40, 42, 47,

73n6, 79, 81, 83–89, 91, 94,96, 102–106, 145, 168, 174,195, 196, 231, 281

Sponsorship, 4, 38, 49, 73, 73n6,77–79, 81–96, 104, 106, 116,195, 284

Stabilization, 117Stadiums, 23, 60, 69, 73, 141Staff, 21, 31, 42–44, 52, 54, 102,

104, 148, 165Stakeholder(s), 71, 128Start, 11, 22, 44, 83, 96, 98, 115,

130, 131, 140, 147, 149–150,152, 158, 182, 211, 216

Strategy, 44, 79, 173, 233–235Streaming, 77, 106Superlicence, 208Surpluses, 48, 258, 258n4, 263Survival, 5, 27, 38, 41, 61, 106, 165,

166, 175–182, 193, 195, 197,198, 204–218, 221–223, 230,231, 233–235, 254, 285

Sustainability, 106, 116, 232, 287Suzuka, 1–6, 212n4Suzuki, 173Sweden, 278Swedish, 135

TTalisman circuits, 141–142, 144,

154–157, 284Target-customers, 78n12, 89Tarmac, 138Taxation, 5, 22, 49, 51, 54, 59, 61,

72, 86, 97, 253

Tax haven, 5, 61Taxpayers, 47Team, 7, 8, 10, 11, 19, 22, 27, 28,

31, 34, 38, 40, 41–46, 62, 70,71, 79–81, 83, 86, 87, 89, 96,97, 100–104, 121, 127, 128,136, 142, 144, 145, 148, 157,168, 172–177, 180, 181,186–188, 190, 193, 195, 208,211, 216, 218–221, 223, 226,230–236, 245, 275, 276, 278,284, 285

Teammates, 121, 122, 235, 278Television, 4Tennis, 87Territory, 249, 250, 254,

263, 265Test, 42, 106, 125, 131, 139, 142,

152, 160, 175, 178, 179, 184,208, 218, 219, 236, 251, 255,258, 287

Theory, 18, 75, 79, 96, 97, 98, 233,280

Tickets, 48, 49, 53, 54, 77, 80, 89,116, 196

Tobacco, 79, 88, 92, 96Tokens, 31n6Top-ranked, 120, 142Top-starter, 141–144, 154, 157Tourism, 49, 53, 56, 58, 76, 84, 256,

259Tournaments, 69, 85, 96–97Tracks, 5, 54, 76, 88, 117, 127, 144,

148, 152, 195, 213, 214, 226,231, 251, 254

Trackside, 79Trade, 19, 49n11, 51, 70,

81n14

Index 301

Trade-off, 197Traffic, 48, 48, 129, 253Transfer(s), 70, 83, 102, 216Transmissions, 116Transportation, 262, 264T-ratio, 124T-statistics, 126Turkish, 4, 77Turmoil, 141Turnout, 116Turnovers, 52, 59Tyres, 18, 29–30, 84, 87,

130, 136Tyrrel, 135, 176

UUK, 71, 79Unemployment, 42, 49, 252,

256, 278Upgrading, 257USA, 53, 85, 241Utilitarian, 102–103Utility, 103, 171

VValidation, 142, 272Valuable, 12, 38, 274Valuation, 51, 76, 80, 83, 196,

218, 280Value, 2, 10, 14, 17–21, 27, 34,

41, 49–51, 52–54, 58, 72,73, 75, 77, 78, 80, 81, 83,87–89, 91, 93, 94, 98, 100,102, 103, 117, 118, 120,126, 128, 131, 132, 147,153, 154, 174, 180, 184,

186, 188, 190, 191, 193,198, 208, 218, 219, 223,226, 230, 236, 242, 259,261, 263, 266, 274, 276,278, 287

Variable, 11, 12, 21, 30–32, 39, 45,128, 129, 131, 133, 136–138,142, 144, 145, 147–150,152–155, 157, 160, 166, 174,178, 180, 185, 195, 217, 219,220, 222, 223, 246, 251–253,255, 256, 258–261, 266, 272,274–280, 283, 285

Vector(s), 86, 178, 217Venezuela, 88n18Venezuelan, 88n18Verstappen, 231Vettel, 134, 140, 144, 216, 288Victory, 2, 4, 7, 10, 11, 22, 30, 41,

46, 126, 129, 131, 134, 135,140, 141, 145, 157, 160, 180,186, 254, 273–276, 281, 284

Villeneuve, Gilles, 138, 288Villeneuve, Jacques, 7VIP, 79Virgin, 40, 42Vodafone, 96Volkswagen, 136Volume, 50, 94, 106, 262Volunteers, 21Voters, 232

WWage, 40, 73, 98, 99, 190, 204, 219,

222, 283War, 52, 69, 85, 241Warming, 27

302 Index

Warm-Up, 13–14Watchers, 88Watching, 6, 21, 69, 78, 115, 116,

254Water, 42, 233WCC, 42, 96, 101, 104, 168, 173,

216, 219, 231–233, 245WDC, 118, 241, 246Wealth, 54, 69, 71, 81, 85, 120, 216,

241, 244, 263, 271Web, 12, 28, 89, 272, 273, 284Welfare, 102Western, 241Wheels, 13, 141Williams, Frank, 10, 32n8, 44, 176,

209–211, 233Willingness, 3, 10, 72Win, 2, 22, 57, 115, 127, 134, 135,

138, 144, 147, 215Wings, 84, 138Winner, 2, 4, 60, 85, 115–117, 124,

127, 145, 157Winning, 27, 31, 38, 42, 61, 99,

115, 117, 120–122, 126–129,132–135, 138–148, 155,

157–160, 219, 230, 231, 241,284

Wins, 23, 85, 87, 140Withdraw, 168–169, 180, 181, 195,

219, 221, 226, 227, 230, 232,235, 276, 278

Women, 2, 18, 21, 42, 127, 219,233, 245

Workers, 23, 56, 97, 98, 168, 242,257

WRC, 88, 242, 265WTCC, 88, 99, 103, 265

XXL, 184

YYields, 72, 98, 103, 171, 193

ZZero, 118, 139, 172, 178, 180,

212, 223

Index 303