Is Gambling Contagious? An Analysis of Electronic Gambling Machine Clustering in Germany

Main Article Content

Johannes Jasny

Abstract

There are sizeable differences in the Electronic Gambling Machine (EGM) supply among German regions. Furthermore, the EGM supply concentrates in certain regions which results in gambling hot spots. Interestingly the spatial clustering of EGM supply is still observed when we control for agglomeration effects caused by population. This leads to the question why the EGM supply concentrates in some regions and remains low in others. We argue that the concentration of supply can be mostly explained by the socioeconomic characteristics of these regions. This paper makes three central contributions to the location based gambling research. First, it visualizes the absolute and relative supply of EGMs in German communities and highlights the spatial clustering of high and low EGM density regions. Second, it implements socioeconomic and geographical control variables for a more distinct description of regional differences. Third, it employs spatial econometric modelling to quantify and explain the occurrence of EGM hot spots. For our analysis we use census and EGM market data. The main finding implies, that there is a clear clustering of the EGM supply across regions at first, but when considering the socioeconomic characteristics / deprivation of the regions, most of the clustering effect is erased. The model explains most of the clustering effect which appears to exist only when there is no slender consideration of the socioeconomic differences across regions. This result supports the hypothesis that high gambling activity in one region does not affect the gambling activity in neighboring regions.

Article Details

Section
Articles
Author Biography

Johannes Jasny, Gambling Research Center University of Hohenheim

Scientific staff and Ph.D. student

References

L Anselin Spatial Econometrics: Methods and Models (Dordrecht, Kluwer, 1988) ch 6.

L Anselin, J Cohen, D Cook, W Gorr and G Tita ‘Spatial Analyses of Crime’ (2000) 4 Criminal Justice

pp 213-262.

G Breustedt and H Habermann ‘The Incidence of EU Per-Hectare Payments on Farmland Rental Rates: A Spatial Econometric Analysis of German Farm-Level Data’ (2011) 62(1) Journal of Agricultural Economics pp 225-243. DOI: 10.1111/j.1477-9552.2010.00286.x

BZgA ‘Glücksspielverhalten und Glücksspielsucht in Deutschland 2013’ (Köln, NRW: Bundeszentrale für gesundheitliche Aufklärung, 2014).

A D Cliff and J K Ord Spatial Autocorrelation (Pion, London, Pion, 1973).

A D Cliff and J K Ord Spatial Processes Models and Applications (Pion, London, Pion, 1981).

P Delfabbro ‘Evaluating the Effectiveness of a Limited Reduction in Electronic Gaming Machine Availability on Gambling Behaviour and Expenditure’ (2008) 8 International Gambling Studies

pp 151-166. DOI: 10.1080/14459790802139983

D M Drukker, H Peng, I R Prucha and R Raciborski ‘Creating and Managing Spatial-Weighting Matrices with the SPMAT Command’ (2013) 13(2) The Stata Journal pp 242-286.

D M Drukker, I R Prucha and R Raciborski ‘Maximum Likelihood and Generalized Spatial Two-Stage Least-Squares Estimators for a Spatial-Autoregressive Model with Spatial-Autoregressive Disturbances’ (2013) 13(2) The Stata Journal pp 221-241.

A J Economopoulos ‘Examining Impact of Casinos on Economic Development: A Spatial Analysis of the Counties in the Mid-Atlantic Region’ (2015) 9(1) Journal of Gambling Business and Economics pp 77-92. DOI: 10.5750/jgbe.v9i1.917

J P Elhorst ‘Applied Spatial Econometrics: Raising the Bar’ (2010) 5(1) Spatial Economic Analysis pp 9-27. DOI: 10.1080/17421770903541772

FGA Der Deutsche Glücksspielmarkt 2014 – Eine ökonomische Darstellung (Hessen, 2015)

T W Fong ‘The Biopsychosocial Consequences of Pathological Gambling’ (2005) 2(3) Psychiatry

pp 22-30.

M M Fischer and A Getis Handbook of Applied Spatial Analysis (Heidelberg, Springer-Verlag, 2010) ch B.3.

A Johansson, J E Grant, S W Kim, B L Odlaug and K G Götestam ‘Risk Factors for Problematic Gambling: A Critical Literature Review’ (2009) 25(1) Journal of Gambling Studies pp 67-92.

DOI: 10.1007/s10899-008-9088-6

B Kun, H Balázs, P Arnold, B Paksi and Z Demetrovics ‘Gambling in Western and Eastern Europe: The Example of Hungary’ (2012) 28(1) Journal of Gambling Studies pp 27-46. DOI:10.1007/s10899-011-9242-4

J LeSage and R K Pace Introduction to Spatial Econometrics (Boca Raton, Chapman and Hall, 2009) ch 1-8.

D Marshall ‘The Gambling Environment and Gambler Behaviour: Evidence from Richmond-Tweed, Australia’ (2005) 5(1) International Gambling Studies pp 63-83.

DOI: 10.1080/14459790500099471

D Marshall ‘Gambling as a public health issue: The critical role of the local environment’ (2009) 23 Journal of Gambling Issues pp 66–80. DOI: 10.4309/jgi.2009.23.4

C Meyer, H J Rumpf, A Kreuzer, …, U John. ‘Pathologisches Glücksspielen und Epidemiologie (PAGE): Entstehung, Komorbidität, Remission und Behandlung’ (2011) Endbericht an das Hessische Ministerium des Innern und für Sport. Greifswald/Lübeck: Universitäten Greifswald und Lübeck.

P A P Moran ‘Notes on continuous stochastic phenomena’ (1950) 37(1-2) Biometrika pp 17-23. DOI: 10.2307/2332142

K Ord (1975) ‘Estimation methods for models of spatial interaction’ (1975) 70(349) Journal of the American Statistical Association pp 120-126. DOI: 10.2307/2285387

J Pearce, K Mason, R Hiscock and P Day ‘A national study of neighbourhood access to gambling opportunities and individual gambling behaviour’ (2008) 62 Journal of Epidemiology & Community Health pp 862-868. DOI: 10.1136/jech.2007.068114

M Sassen, L Kraus, G Bühringer, A Pabst, D Piontek and Z Taqi ‘Gambling among adults in Germany: Prevalence, disorder and risk factors’ (2011) 57 SUCHT pp 249–257. DOI: 10.1024/0939-5911.a000115

M Schündeln ‘Are immigrants more mobile than natives? Evidence from Germany’ (2014) 54(1) Journal of Regional Science pp 70-95. DOI: 10.1111/jors.12072

J Storer, M Abbott, and J Stubbs ‘Access or adaptation? A meta-analysis of surveys of problem gambling prevalence in Australia and New Zealand with respect to concentration of electronic gaming machines’ (2009) 9(3) International Gambling Studies pp 225–244.

DOI: 10.1080/14459790903257981

W R Tobler (1970) ‘A computer movie simulating urban growth in the Detroit region’ (1970) 46 Economic Geography pp 234-240. DOI: 10.2307/143141

J Trümper and C Heimann Angebotsstruktur der Spielhallen und Geldspielgeräte in Deutschland (Unna, 12th edn, 2014).

S D Vasiliadis, A C Jackson, D Christensen and K Francis ‘Physical accessibility of gaming opportunity and its relationship to gaming involvement and problem gambling: A systematic review’ (2013) 28 Journal of Gambling Issues pp 1–46. DOI: 10.4309/jgi.2013.28.2

H G Vieweg ‘Wirtschaftsentwicklung Unterhaltungsautomaten 2013 und Ausblick 2014‘ (2014) Research Report. Institute for Economic Research ifo, University of Munich. Retrieved at http://www.vdai.de/ima2014/ifo-wirtschaftsstudie-dt.pdf.

H Wardle, R Keily, G Astbury and G Reith ‘‘Risky places?’: Mapping gambling machine density and socio-economic deprivation’ (2014) 31(1) Journal of Gambling Studies pp 201–212. DOI: 10.1007/s10899-012-9349-2

J W Welte, W F Wieczorek, G M Barnes and M-C O Tidwell (2006). ‘Multiple risk factors for frequent and problem gambling: Individual, social, and ecological’ (2006) 36(6) Journal of Applied Social Psychology pp 1548–1568. DOI: 10.1111/j.0021-9029.2006.00071.x

B W Wheeler, J E Rigby and T Huriwai (2006) ‘Pokies and poverty: Problem gambling risk factor geography in New Zealand’ (2006) 12(1) Health & Place pp 86-96.

DOI: 10.1016/j.healthplace.2004.10.011