The determinants of Chinese visitors to Australia: A dynamic demand analysis

Pham, Tien Duc; Nghiem, Son; Dwyer, Larry

doi:10.1016/j.tourman.2017.06.015

Cited by 50 publications

(67 citation statements)

References 27 publications

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“…It should be noted that, as these findings are from an endogenous and simultaneous multiequation econometric study with acceptable empirical fit (see above), these time-series databased findings represent another perspective of macro-economic modelling and real-life data, and may not be consistent with expectations or with other findings from alternative approaches such as input-output analysis, CGE simulation, Granger short-term causality, Engle-Granger long-term co-integration, or regression analysis (see details of these approaches in Song et al, 2012;Pham et al, 2017).…”

Section: General Findings and Policy Implicationsmentioning

confidence: 89%

Contribution of Chinese and Indian tourism to Australia: A comparative econometric study

Vu¹,

Hoa²

2020

ABR

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Under the current widespread economic integration of new international trade theory, the world’s two most populous countries, China and India, have achieved high growth, reducing poverty, increasing income and living standards and, as a result, provided good sources of much needed income-generating tourism to international destinations in recent years. The trend in rising tourism including education from China and India to Australia is exponential, and particularly important where the country’s geographical, cultural and educational quality attributes are internationally key attractions. Appropriate studies of this trend and economic outcomes, with robust and reliable empirical findings for credible analysis have been inadequate to date. The project addresses this gap by proposing to investigate the economic contributions of China and India’s tourism to Australia, and their determination for strategic international policy analysis. Significantly, this is done from an economic integration framework, which is also the expenditure (as opposed to production or income) perspective of the United Nations System of National Accounts 1993/2008. A multi-simultaneous equation model of endogenous Australian growth and Chinese and Indian tourism determination is developed. The model novelly incorporates gravity theory and classical consumer demand contributors, Ironmonger-Lancaster commodity attributes and Johansen policy impact add-and sub-factors explicitly in the economic integration framework, and is estimated by system methods with official economic and tourism 1992-2016 data. The findings will provide appropriate and much needed evidence-based inputs on the major economic integration contributors to Australia’s growth, Chinese and Indian tourism causality to key stake-holders such as tourism policy-makers, analysts and operators for international strategic policy analysis and practical implementation.

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Section: General Findings and Policy Implicationsmentioning

confidence: 89%

Contribution of Chinese and Indian tourism to Australia: A comparative econometric study

Vu¹,

Hoa²

2020

ABR

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“…Karimi et al (2015) estimated tourism demand for ASEAN countries through macroeconomic variables such as prices, exchange rate or investments, looking for cointegration between them. Pham et al (2017) studied Chinese tourism demand in Australia using a dynamic time series estimator, and they found that income and price elasticities are quite high, for both the short-and long-run. Along the same line, Dritsakis (2004) Following these authors, using the Johansen methodology, we will estimate inbound tourism demand for Mexico from the USA and for Uruguay from Argentina, obtaining price and income elasticities and short-and long-run equations to understand these demands, comparing the tourists' behavior, to give policymakers and private stakeholders important inputs to make decisions.…”

Section: Background and Analysis Frameworkmentioning

confidence: 99%

Mexico and Uruguay inbound tourism demand

Mordecki¹,

Leiva²,

Puel³

2019

RBTUR

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The main objective of this paper is to estimate the tourism demand for Mexico and Uruguay, two very different countries, but for both of which tourism is an important activity, and mainly originating from a large neighbor. We try to analyze whether the determinants of tourism demand differ depending on the size of the country, or if being a neighboring country is the main determinant. So, we analyze the relationship between the number of American tourists visiting Mexico and Argentinian tourists visiting Uruguay, and the inbound tourists’ income and the bilateral real exchange rate (RER) between the visiting country and the hosting country, following the Johansen’s methodology. We found one cointegration relationship for each country, where the income-elasticity was greater than 2 for American tourists visiting Mexico, and nearly 3 for Argentinian tourists visiting Uruguay. Bilateral RERs were also significant in both models. Moreover, forecasts show the impacts of institutional changes on the tourism sector. The impact of arrival of President Macri to power was positive for Argentinian tourists visiting Uruguay, but President Trump's arrival in the US was negative for American tourists visiting Mexico.

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“…The focus of these studies has been on a single country (e.g. Pham, Nghiem & Dwyer, 2017;Seetaram, 2012a;2012b;Cortés-Jiménez, 2009;Lim, Min & McAleer, 2008;Song, Romilly & Liu, 2000) with majority of them using the Almost Ideal Demand System (AIDS) developed by Deaton and Muellbauer (1980), or one of its variations, and therefore providing limited information on the range of demand elasticities. In a departure from these studies, Smeral (2012), has analysed tourism imports generated by USA, Japan, Canada, Australia and the European region to show that changes in real GDP and tourism import price index significantly influence changes in real tourism import.…”

Section: Introductionmentioning

confidence: 99%

Estimating Tourism Import Demand Elasticities for Four Countries Using the General-to-specific Approach

Mohammed

2019

JABE

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This paper applied the general-to-specific econometric modelling technique to estimate demand for tourism imports and the corresponding elasticities for four countries: Australia; Canada; Japan and USA. The findings indicate that tourism imports are generally income and price elastic with values ranging from 1.476 to 1.783 for income elasticity and-1.201 to-1.721 for price elasticity. Furthermore, the findings reveal that, after controlling for seasonality in the data, demand for tourism import is influenced by global financial crisis, disasters and country-specific problems. These findings have important implications for tourism import management, especially in the broader context of promoting tourism imports.

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The determinants of Chinese visitors to Australia: A dynamic demand analysis

Cited by 50 publications

References 27 publications

Contribution of Chinese and Indian tourism to Australia: A comparative econometric study

Contribution of Chinese and Indian tourism to Australia: A comparative econometric study

Mexico and Uruguay inbound tourism demand

Estimating Tourism Import Demand Elasticities for Four Countries Using the General-to-specific Approach

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