Abstract
This paper reports on an empirical study for the East German state of Saxony. A strong de-industrialization took place in many regions in Saxony following the German reunification. Since the 1990s tourism has been one major area in Saxony where new local public infrastructure has been created. The question is whether this newly-built tourism infrastructure has been able to change the path of economic development in those municipalities where the investment has occurred. Is it possible to activate the tourism industry with the help of public investment at locations that are completely new to the tourism industry? The econometric estimations and a survey of businesses in the field of tourism make it clear that the new tourist infrastructure really did have a positive effect on local employment – but not everywhere and not in every case. Tourist infrastructure will only have a major positive impact on economic development if a municipality already has a “track record” of being a tourist destination and is well-equipped with the relevant complementary factors for tourist activities and the “primary features” of tourist destinations. This indicates that a local tradition in the area of tourism is one condition for the economic success of new public infrastructure. From a more general point of view, this seems to be an example of path-dependency in local economic development.
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Notes
- 1.
The German “WZ-Number” for this branch is “No. 55”.
- 2.
In Germany, independent cities (“Kreisfreie Städte”) are cities which are not belonging to a county and have the competencies of both a municipality and a county.
- 3.
- 4.
The correlation between standardized data vectors and principal components (PC) is significantly different for the periods 1998–2000 and 2005–2007. Between 1998 and 2000 the second PC only corresponds to the mean size of hotels and guesthouses; the first PC corresponds to all other attributes. Between 2005 and 2007 the first PC primarily corresponds to the attributes “Overnight stays of guests per inhabitant”, “Arrivals of guests per inhabitant”, “Beds on offer per inhabitant” and “Number of hotels and guest houses per inhabitant”, while the second PC more strongly represents the spread of the attributes “Mean size of hotels and guesthouses”, “Mean stay time” and “Mean overnight stays per beds on offer”.
- 5.
Additionally, the following groups can also contain independent cities.
- 6.
An old clothier town with a famous historic city center.
- 7.
The birthplace of the composer Robert Schumann and a traditional center of automotive manufacturing.
- 8.
In English “Concepts for Integrated Rural Development”.
- 9.
See the assignment of numbers to regions in Table 8.2.
- 10.
This also applies to other economic activities (e.g. production and sales of souvenirs or food), but it is impossible to identify them by the first two digits of the “WZ” classification of industrial branches.
- 11.
All employment figures only include employees that are subject to paying social insurance contributions.
- 12.
The number of employees based on their location of residence is unfortunately not available.
- 13.
As no data for the municipal level was available, all municipalities which are located in counties which belong to Clusters 3 and 4 (see Table 8.2) were interpreted as “skilled tourist localities”. The cities of cluster 1 are not considered here.
References
Costa CC (2011) Tourism policy instruments: an empirical analysis of Portuguese local governments. Paper for the EGPA annual conference 2011. Bucharest, September 5–7 2011
Cracolic MF, Nijkamp P (2008) The attractiveness and competitiveness of tourist destinations: a study of southern Italian regions. Tour Manage 30:336–344
Crouch GI, Ritchie JRB (1999) Tourism, competitiveness, and societal prosperity. J Bus Res 44:137–152
Fahrmeir L, Hamerle A (1984) Multivariate statistische Analyseverfahren. Walter de Gruyter, Berlin/New York
German Federal Employment Agency (2008) Statistics of the German Federal Employment Agency
Hefner F, Crotts JC, Flowers J (2001) The cost-benefit model as applied to tourism development. Tour Econ 7(2):163–175
Kozak M, Rimmington M (1999) Measuring tourist destination competitiveness. Int J Hosp Manage 18(3):273–283
Laws E (1995) Tourist destination management: issues, analysis and policies. Routledge, New York
Mangion ML, Durbarry R, Sinclair MT (2005) Tourism competitiveness: price and quality. Tour Econ 11:45–68
Metzler D (2007) Regionalwirtschaftliche Effekte von Freizeitgroßeinrichtungen. Michael Lassleben, Kallmünz/Regensburg
Pison G, Struyf A, Rousseeuw PJ (1999) Displaying a clustering with CLUSPLOT. Comput Stat Data Anal 30:381–392
Reece WS (2010) The economics of tourism. Prentice Hall, Upper Saddle River
Riedel J, Scharr F (1999) Wirtschaftsförderung im Transformationsprozeß: Die Gemeinschaftsaufgabe “Verbesserung der regionalen Wirtschaftsstruktur” in Thüringen. ifo Institut für Wirtschaftsforschung, München
Rosenfeld MTW, Franz P, Roth D (2005) Was bringt die Wissenschaft für die Wirtschaft in einer Region? – Regionale Innovations-, Wachstums- und Beschäftigungseffekte von öffentlichen Hochschulen und Forschungseinrichtungen am Beispiel der Region Halle. Nomos, Baden-Baden
Sanchez-Canizares SM, Lopez-Guzman TJ, Reis H (2011) Education of human capital as a source of competitiveness in tourist destinations. In: Matias A, Nijkamp P (eds) Manueal Sarmento tourism economics – impact analysis. Physica, Berlin/Heidelberg, pp 11–30
Schulz A (1999) Touristische Entwicklungspotentiale in den neuen Bundesländern. Friedrich-Ebert-Stiftung, Bonn
Sinclair MT (1998) Tourism and economic development: a survey. J Dev Stud 34:1–51
Stabler MJ, Papatheodorou A, Sinclair MT (2010) The economics of tourism, 2nd edn. Routledge, Abington/New York
Statistical Office of the Free State of Saxony (2009) Kreisstatistik für die Jahre 1998–2008. Data supply via internet. http://www.statistik.sachsen.de/Index/22kreis/unterseite22.htm. Accessed 22 Apr 2009
Struyf A, Hubert M, Rousseeuw PJ (1996) Clustering in an object-oriented environment. J Stat Softw 1:1–30
Wanhill SRC (1983) Measuring the economic impact of tourism. Serv Ind J 3:9–20
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Rosenfeld, M.T.W., Kauffmann, A. (2013). How to Create a New Holiday Destination? An Evaluation of Local Public Investment for Supporting Tourism Industry. In: Matias, Á., Nijkamp, P., Sarmento, M. (eds) Quantitative Methods in Tourism Economics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2879-5_8
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