Citation

Solarin, Sakiru Adebola and Gorus, Muhammed Sehid and Ozgur, Onder (2024) Modelling the economic effect of inbound birth tourism: a random forest algorithm approach. Quality & Quantity. ISSN 0033-5177; eISSN: 1573-7845

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Abstract

Due to the tourism sector being one of the main drivers of economic growth in several countries, many studies have been conducted on the economic impact of the tourism sector. However, the economic efect of the diferent tourism activities, especially birth tourism has not been sufciently explored in the existing literature. Using diferent proxies that capture the development of birth tourism, we examine the economic efect of birth tourism on economic growth in New Zealand for the period, 1980–2019. Novel machine-learning techniques including random forest algorithm and partial dependence plots have been used to estimate the relationship between the variables in a framework, which also include capital stock and fnancial development. The empirical fndings of this study show that there is a non-linear relationship between per capita income and birth tourism-related variables in New Zealand. These results ofer fresh insights to policymakers on the importance of birth tourism.

Item Type:	Article
Uncontrolled Keywords:	Economic growth
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD72-88 Economic growth, development, planning
Divisions:	Faculty of Business (FOB)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Apr 2024 01:20
Last Modified:	03 Apr 2024 01:20
URII:	http://shdl.mmu.edu.my/id/eprint/12293

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