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Unobserved tourism
Affiliation:1. School of Civil Engineering, The University of Queensland, Brisbane, QLD 4072, Australia;2. Department of IT Management, Faculty of Management, University of Tehran, Tehran, Iran;3. Department of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran;1. Vienna University of Economics and Business, Department of Economics, Institute for International Economics, Welthandelsplatz 1, 1020 Vienna, Austria;2. University of Portsmouth, Economics and Finance Subject Group, Portsmouth Business School, Portland Street, Portsmouth PO1 3DE, UK;3. University College London (UCL), Institute for Sustainable Heritage, The Bartlett, UCL Faculty of the Built Environment, Central House, 14 Upper Woburn Place, WC1H 0NN London, UK;4. Bournemouth University, Department of Accounting, Finance and Economics, Executive Business Centre, 89 Holdenhurst Road, BH8 8EB Bournemouth, UK;1. Mount Royal University, Canada;2. University of Calgary, Canada;1. The Hong Kong Polytechnic University, Hong Kong;2. Deakin University, Australia;1. University of Otago, New Zealand;2. Sun Yat-Sen University, China
Abstract:Having more reliable statistics is essential for policy-makers to be able to make effective decisions. Nevertheless, measuring the number of tourists in a given destination is not an easy task. After reviewing the main problems affecting official statistics on tourism, this paper proposes a general framework by formalizing a theoretical model in which tourism nights and trips in a given destination are broken down into observed and unobserved components, according to the European system of tourism statistics. The main approaches related to the measurement of unobserved tourism are discussed, and some empirical findings in Sicily (Italy) are presented in order to highlight the actual magnitude of unobserved tourism.
Keywords:Travel statistics  Accommodation statistics  Unmeasured tourism  Sampling tourists  Destination management  Sicily
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