2015
DOI: 10.1002/pop4.92
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Tourism, Development and Inequality: The Case of Tanzania

Abstract: For most of the post‐WWII era, scholars have attempted to understand, define, and measure development. A large and growing body of work has in fact investigated its causes and the consequences and has dissented as to whether tourism represents a proper determinant of growth and development. Yet, while scholars have started investigating the contribution that tourism can make to economic growth and development from the 1970s onward, considerably less attention has been paid to assessing whether tourism‐induced … Show more

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Cited by 37 publications
(26 citation statements)
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References 3 publications
(6 reference statements)
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“…Our findings are generally consistent with what Kinyondo and Pelizzo (2015) reported. Many years of economic growth went along with an impressive expansion of the labor force.…”
Section: Economic Growth and Employmentsupporting
confidence: 93%
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“…Our findings are generally consistent with what Kinyondo and Pelizzo (2015) reported. Many years of economic growth went along with an impressive expansion of the labor force.…”
Section: Economic Growth and Employmentsupporting
confidence: 93%
“…These data also sustain the claim that the economic growth, the creation of wealth and employment had little to not impact on income inequality. Worse, as Kinyondo and Pelizzo (2015) reported in their article, several years of rapid economic growth -from 2001-02 to 2007did not affect at all the overall level of inequality in the country. 6…”
Section: Tab 3 Percentage Of the Population Below International Povementioning
confidence: 80%
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“…Labor force participation's effect on poverty remained significant and positive, and labor force participation's effect on HDI remained significant and negative. This supports the explanation presented above based on the findings of Kinyondo and Pelizzo (2015) that low wage tourism jobs cause the emergence of the working poor. The strength of the positive effect of labor force participation on poverty grew from the result in the full data set though, which means that for one unit of change in labor force, poverty will grow more in Africa than in other regions.…”
Section: Analysis Of the Results Insupporting
confidence: 91%
“…Further analysis into this result shows that the correlation coefficients for labor force and poverty and labor force and HDI are far higher in Africa than in all other regions of the world. One explanation for this can be found in Kinyondo and Pelizzo's (2015) writing that the jobs created by tourism are low wage jobs that contribute to the emergence of the working poor.…”
Section: Regression Analysismentioning
confidence: 99%