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Tourism and economic growth: A review of empirical literature

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TLDR
A review of published literature that addresses the connection between tourism and economic growth, and provides a thematic and chronological analysis of empirical research on this topic is presented in this paper, which leads to a classification of the numerous works into three major sets according to the methodology applied therein: time series, panel data and cross-sectional data.
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This article is published in Tourism Management Perspectives.The article was published on 2013-10-01. It has received 245 citations till now. The article focuses on the topics: Tourism & Empirical research.

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Inequality and Growth: What Can the Data Say?

TL;DR: The authors showed that the growth rate is an inverted U-shaped function of net changes in inequality: Changes in inequality (in any direction) are associated with reduced growth in the next period.
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Has the tourism-led growth hypothesis been validated? A literature review

TL;DR: This article presented an exhaustive review of approximately 100 peer-reviewed published papers on the tourism-led growth hypothesis (TLGH) and provided an overview on the economic theoretical framework behind the TLGH.
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Exploring the relationship among CO2 emissions, real GDP, energy consumption and tourism in the EU and candidate countries: Evidence from panel models robust to heterogeneity and cross-sectional dependence

TL;DR: In this paper, the authors analyzed the relationship among carbon emissions, real income, energy consumption and tourism for a panel of the EU and candidate countries over the period 1995-2011 by using heterogeneous panel estimation techniques with cross-sectional dependence.
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Investigating the impacts of energy consumption, real GDP, tourism and trade on CO2 emissions by accounting for cross-sectional dependence: A panel study of OECD countries

TL;DR: In this article, the long-run dynamic relationship of carbon dioxide emissions, real gross domestic product (GDP), the square of real GDP, energy consumption, trade and tourism under an Environmental Kuznets Curve (EKC) model for the Organization for Economic Co-operation and Development (OECD) member countries.
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Tourism and its economic impact: A literature review using bibliometric tools:

TL;DR: In this paper, the relationship between tourism and economic impact, its potential benefits and negative externalities are characterized by both vastness and heterogeneity of contents, and therefore, they are difficult to model.
References
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The mechanics of economic development

Abstract: This paper considers the prospects for constructing a neoclassical theory of growth and international trade that is consistent with some of the main features of economic development. Three models are considered and compared to evidence: a model emphasizing physical capital accumulation and technological change, a model emphasizing human capital accumulation through schooling, and a model emphasizing specialized human capital accumulation through learning-by-doing.
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On the mechanics of economic development

TL;DR: In this article, the authors consider the prospects for constructing a neoclassical theory of growth and international trade that is consistent with some of the main features of economic development, and compare three models and compared to evidence.
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Bounds testing approaches to the analysis of level relationships

TL;DR: In this paper, the authors developed a new approach to the problem of testing the existence of a level relationship between a dependent variable and a set of regressors, when it is not known with certainty whether the underlying regressors are trend- or first-difference stationary.
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Statistical inference in vector autoregressions with possibly integrated processes

TL;DR: In this paper, the authors show how to estimate VAR's formulated in levels and test general restrictions on the parameter matrices even if the processes may be integrated or cointegrated of an arbitrary order.
Book

Likelihood-Based Inference in Cointegrated Vector Autoregressive Models

TL;DR: In this paper, a detailed mathematical and statistical analysis of the cointegrated vector autoregresive model is given, with the main emphasis on the derivation of estimators and test statistics through a consistent use of the Guassian likelihood function.
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