Museum and monument attendance and tourism flow: a time series analysis approach

Cellini, Roberto; Cuccia, Tiziana

doi:10.1080/00036846.2012.716150

Cited by 50 publications

(29 citation statements)

References 33 publications

(23 reference statements)

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“…They find an effect of exhibitions on tourism, but its size is very small. 4 Cellini and Cuccia (2013) also challenge the common view. Using data for Italy in the time period 1996-2007, they find that causality runs from tourist flows to cultural attendance.…”

Section: Related Literaturementioning

confidence: 91%

Frequency of museum attendance: motivation matters

2015

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Some recent empirical contributions have highlighted that tourists often\ud go to museums yet appear to extract little utility from the experience. We argue that\ud this is often the case with agents who visit museums only while on holiday and\ud results from a temporary lack of substitute experience goods or compliance with a\ud must-do list. If such agents behaved according to Stigler and Becker’s rational\ud addiction theory, they would also visit museums while at home. However, most do\ud not, which makes them constantly occasional consumers. We indirectly test for the\ud presence of constantly occasional museum attendance by tourists, using data from a\ud survey conducted in 2012 at Vittoriale, the most popular museum at Lake Garda, a\ud renowned Italian tourist destination. By applying multiple correspondence analysis\ud to a question on motivations to visit the museum, we obtain two dimensions of\ud motivation: one based on a search for knowledge and the other based on a more\ud recreational attitude. Identification of the latter is a new finding in itself. We include\ud these dimensions as regressors in a model used to explain museum attendance. We\ud find, as expected, that light consumption negatively affects attendance. We therefore\ud argue that empirical analyses of museum attendance should not disregard light\ud motivation as a possible driver

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Section: Related Literaturementioning

confidence: 91%

Frequency of museum attendance: motivation matters

2015

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“…Most research focused on tourism demand and on the influence of exchange rate and income on tourism revenues (Lim 1997a,b) or on particular and specific determinants, like climate change (Taylor 2009) or political violence (Neumayer 2004). To our knowledge, the only paper that attempts to fill this gap (Cellini and Cuccia 2011) follows a time series analysis approach. Cellini and Cuccia analyzed Italian monthly data over the period January 1996 to December 2007 and they found that the tourist arrivals Granger-cause the visits to museums and monuments and viceversa only in the long run.…”

Section: Introductionmentioning

confidence: 98%

Cultural tourism and temporary art exhibitions in Italy: a panel data analysis

et al. 2011

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“…In Italy, despite the existence of a rapidly growing body of literature in the field of cultural economics (Fuortes 2002;Favaro and Frateschi2007;Sisto and Zanola 2010;Cellini and Cuccia 2013), the study of the demand for cultural goods is relatively underdeveloped (Favaro and Frateschi 2007). To the best of our knowledge, there are no papers that analyze the Italian theatre market from both the demand and supply side.…”

Section: Literature Reviewmentioning

confidence: 99%

The Evolution of Theatre Attendance in Italy: Patrons and Companies

Castiglione

Infante

2017

Enhancing Participation in the Arts in the EU

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This paper examines the Italian theatre market from both the demand and supplyside. The descriptive analysis shows that the Italian theatre market is, mainly, localized in the Northern and Central Italian regions for both patrons and companies, confirming a cultural divide between the Southern and the rest of the Italian regions also in the theatrical sector. Like many other European countries, the performing arts in Italy are subsided by public funds through the so-called Fondo Unico per lo Spettacolo (FUS), thereby influencing theatre performance and attendance. As expected, the distribution of the FUS follows the localization of the theatrical companies. The empirical analysis is conducted using 34-year panel data for the 20 Italian regions. By applying the seemingly unrelated regression (SUR) estimation technique, we identify the factors influencing theatre demand and supply. The estimated results confirm as determinants of theatre demand, price and consumer income and additionally, cultural capital (proxied by education), substitute goods (such as cinema) and other contextual factors (such as tourists flows and territorial area). In contrast, theatre supply is influenced by income, previous historical attendance, theatrical employment, and other contextual factors linked to territorial and public subsidies.

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Museum and monument attendance and tourism flow: a time series analysis approach

Cited by 50 publications

References 33 publications

Frequency of museum attendance: motivation matters

Frequency of museum attendance: motivation matters

Cultural tourism and temporary art exhibitions in Italy: a panel data analysis

The Evolution of Theatre Attendance in Italy: Patrons and Companies

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