This paper describes the current state of and issues related to tourism statistics. Firstly, it discusses the status of worldwide tourism statistics. Tourism statistics are related to tourism economics and categorized into inbound tourism, outbound tourism, domestic tourism, and the tourism industry. International organizations have established a tourism statistics standard for more than half a century. However, standards vary considerably between countries. Currently, about twenty percent of participants are responsible for the series of tourism statistics produced. In the future, it is hoped that many countries will not only produce a regional Tourism Satellite Account and tourism statistics, but also use big data and open data.
Next, this paper discusses the veracity of tourism statistics. The concept of veracity is crucial to the methodologies of social statistics found in the social sciences of politics, economics, and sociology. The principle of veracity requires both reliability and accuracy. The reliability of statistics ensures veracity in the design and planning phase of surveys, whereas the accuracy of statistics ensures veracity in the implementation phase of surveys. A statistical survey in all sectors including tourism must meet both requirements.
However, the veracity of tourism statistics is doubtful and difficult to secure because of the specific nature of tourism. Because tourists are highly mobile, it is difficult to ensure that a truly representative or probable sample is obtained. Tourism behavior is particularly vulnerable to physical conditions and interruptions such as weather, crowds, and noise. For example, heavy rain diminishes response rates and information quality. Further, survey results vary greatly depending on the conditions. Similarly, the timing of the measurement process is important. In the field of tourism consumption, expenditures reported prior to travel may be estimates. Data collected during travel may even represent a mixture of actual and intended behavior. Although post-travel measures seem to be more realistic, they struggle to identify respondents and present some difficulties in accurate recall.
Indeed, such problems are too numerous to state. Recently, few studies have been attempted to discuss and resolve these issues. As a result, empirical analysis in tourism research still lags that in other academic fields, and the analysis results are considered to have less value for practitioners and policymakers. Only further development of tourism statistics research is not able to solve the problems. Some problems are currently beyond tourism statistics research. Hence, it is hoped that the rising sophistication of tourism statistics will advance tourism research as a whole.
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