Tourism and Economic Growth: A Meta-regression Analysis

By Robin Nunkoo, B. Seetanah, Z. K. Jaffur, Paul George Warren Moraghen, R. Sannassee. Journal of Travel Research, 2019

207 citations recorded by the source corpus.

Numerous studies have focused on delineating the relationship between tourism and economic growth. In this article, we present the results of a rigorous meta-regression analysis based on 545 estimates drawn from 113 studies that empirically tested the tourism-led growth hypothesis (TLGH). The results suggest the presence of publication bias in the literature on this topic, where the majority of studies report positive and statistically significant estimates. Findings provide support for the TLGH, but they also suggest that the estimates are sensitive to a number of factors that are related to country data, specification, and estimation characteristics, and time span. Such sensitivities suggest that greater emphasis should be placed on reporting estimates of the relationship between tourism and economic growth across a variety of methodological characteristics and specification and estimation choices. The implications of the results for theory development are also discussed.

Subfields: Demography, Sociology and Political Science, Tourism, Leisure and Hospitality Management

View Paper: https://www.semanticscholar.org/paper/bd329a5c94c0bc55e82974687cc80e7b89ebc16b

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In Sociology and Political Science

1. Jiekuan Zhang
2. Yan Zhang

Citations in the corpus

• Tourism, economic growth, energy consumption, and CO2 emissions in China (2020, background): “However, as argued by Nunkoo et al. (2019), due to differences in regions, periods, and data sources, this viewpoint is not always accepted by scholars.”