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Shortening distances with destination branding Brand distance> Geographical Distance -8 th Developments in Ecomic theory and policy Bilbao: 29-30 June 2011 Álvaro Fierro: Ph.D Applied Economics V Sergio Sánchez: Ph.D Applied Economics III

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This study shows using econometric techniques that geographic distance does not influence whether the mark is sufficiently embedded in the collective imagination. We as examples mark places near Bilbao

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Page 1: Shortening distances with destination branding inglés

Shortening distances with destination branding

Brand distance> Geographical Distance

-8 th Developments in Ecomic theory and policy

Bilbao: 29-30 June 2011

Álvaro Fierro: Ph.D Applied Economics VSergio Sánchez: Ph.D Applied Economics III

Page 2: Shortening distances with destination branding inglés

Guggenheim Museum Bilbao: considered as a specific case of success in terms of attracting visitors and tourists

-new image and a structural change in the region

Bilbao has a strong brand, but not all places around Bilbao have taken advantage of its traction

Introduction

Page 3: Shortening distances with destination branding inglés

Target: measure how influential is the brand of Bilbao in Bizkaia across the tourism effect

Places:-Balmaseda (good accessibility)

-Getxo (closeness distance)

-Gernika (worse accessibility)

Bilbao pulled capital

Page 4: Shortening distances with destination branding inglés

Geographical Distance

Page 5: Shortening distances with destination branding inglés

Balmaseda. Digital Reputation Data

Balmaseda, Getxo, Gernika, Bilbao.-Monthly data of the tourist offices in each

place: January 1999 through December 2010

Dummy Variables

Data Collection

Page 6: Shortening distances with destination branding inglés

20000

30000

40000

50000

60000

70000

80000

2000 2002 2004 2006 2008 2010

Bilb

ao

Flow of tourists: Time serie(s)

0

2000

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10000

12000

14000

16000

2000 2002 2004 2006 2008 2010

Getx

o 0

2000

4000

6000

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10000

12000

14000

16000

18000

20000

2000 2002 2004 2006 2008 2010

Gern

ika

0

500

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3500

2000 2002 2004 2006 2008 2010B

alm

ase

da

Bilbao

Gernika

Getxo

Balmaseda

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The methodology used was the Time Series, more specifically the ARMAX models (Bierens, 1987), where general representation is described by:

Methodology

Page 8: Shortening distances with destination branding inglés

The appeareance of Balmaseda in one of the most widely read media is no significant: is not relevant for attracting tourists

Opening first section (2005) of the Cadagua highway it had positive influenece attracting tourism.

Opening of the second section (2008) it had not positive influenece attracting tourism.

-¿Crisis ?

Results of Balmaseda

Page 9: Shortening distances with destination branding inglés

β1 Balmaseda Getxo Gernika

Sign +/- - +

Relevance No No Yes

The influence of Bilbao´s brand

Page 10: Shortening distances with destination branding inglés

• Bilbao does not affect neither Getxo nor Balmaseda despite of its proximity, accessibility and touristic potential

• Bilbao affects Gernika due to its brand-image despite of its inaccessibility and remoteness from it.

Conclusions

Page 11: Shortening distances with destination branding inglés

Brand Distance

Page 12: Shortening distances with destination branding inglés

 Box, G, Jenkins, G: Time Series Analysis: Forexasting and Control. Holden Day Brandes, U. (2001): A faster algorithm for betweennes centrality. Journal of Mathematical

Sociology. Bierens, J (1987): ARMAX Model Specification Testing, with an Application to Unemployment

in the Netherlands Castaño, E. and Martinez, J (2008): Uso de la función de correlación cruzada en la

identificación de modelos ARIMA. Revista colombiana de estadística,vol. 31 nº2 pp, 293-310

Gallastegi, I (1986): Análisis de Series Temporales: Algunas Técnicas de Predicción. Seminario Internacional de Estadística de Euskadi, pp, 80-98

Hans, P (1991): Primary Demand for Beer in the Netherlands: An Application of ARMAX Model Specification. Journal of Marketing Research, pp, 240-245

Hestie, T, Tibshirani, R, Friedman, J (2006): The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Lugosi, G, Györfi, l, Devroye, L (1996): A Probabilistic Theory of Pattern Recognition Stochastic Modelling and Applied Probability. Springer

Newman M. (2004): The mathematics of networks. Center for Study of Complex Systems, University of Michigan.

Pike, S (2002): Destination Image Analysis: A Review of 142 Papers from 1973- 2000. Tourism Management. Vol. 23 (5), pp, 541- 549

Pike, S (2009): Destination Brand Position of a Competitive Set of Near –Home Destinations Tourism Management (30), pp, 857- 866)

Plaza, B (2010): Valuing museums as economic engines: Willingness to pay or discounting of cash-flows? Journal of Cultural Heritage (11), pp, 155-162.

Plaza, B. and Haarich, S.N. (2009): “Museums for urban regeneration? Exploring conditions for their effectiveness. Journal Of Urban Regeneration and Renewal, Vol. 2 (3): pp. 259-271.

Bibliography