Tourism diversification and income inequality in a developed economy: evidence from a dynamic regression approach

This study examines the effects of tourism diversification on income inequality in New Zealand, a developed economy highly reliant on international tourism. Rather than assuming a uniform impact of tourism on income distribution, the paper builds on theoretical insights from modernization theory and political economy perspectives to explore how diversification by source markets and travel purposes may produce varying distributional outcomes. Using a Dynamic Autoregressive Distributed Lag (DARDL) approach over the period 1979–2022, the study estimates both short-run and long-run effects of tourism diversification on the Gini coefficient, a standard measure of income inequality. The findings reveal that diversification within the Oceania and European markets is associated with increasing income inequality over time, likely due to the concentration of tourism benefits in specific regions and sectors. In contrast, diversification in the South, East, and Southeast Asian market contributes to a modest reduction in inequality, potentially reflecting broader income dispersion across regions. Purpose-based diversification, particularly in business and education travel, shows short-term equalizing effects.

Authors

Institutions

Publication Details

Journal
Asia Pacific Journal of Tourism Research
Published
2026-06-18
DOI
https://doi.org/10.1080/10941665.2026.2638793
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tourism diversification and income inequality in a developed economy: evidence from a dynamic regression approach

Taiwo Temitope Lasisi, Sakiru Adebola Solarin, Muhammed Şehid Görüş, Faruk Balli
Asia Pacific Journal of Tourism Research
Diverse Aspects of Tourism Research
article

Tourism diversification and income inequality in a developed economy: evidence from a dynamic regression approach

Taiwo Temitope Lasisi, Sakiru Adebola Solarin, Muhammed Şehid Görüş, Faruk Balli
article en

Abstract

This study examines the effects of tourism diversification on income inequality in New Zealand, a developed economy highly reliant on international tourism. Rather than assuming a uniform impact of tourism on income distribution, the paper builds on theoretical insights from modernization theory and political economy perspectives to explore how diversification by source markets and travel purposes may produce varying distributional outcomes. Using a Dynamic Autoregressive Distributed Lag (DARDL) approach over the period 1979–2022, the study estimates both short-run and long-run effects of tourism diversification on the Gini coefficient, a standard measure of income inequality. The findings reveal that diversification within the Oceania and European markets is associated with increasing income inequality over time, likely due to the concentration of tourism benefits in specific regions and sectors. In contrast, diversification in the South, East, and Southeast Asian market contributes to a modest reduction in inequality, potentially reflecting broader income dispersion across regions. Purpose-based diversification, particularly in business and education travel, shows short-term equalizing effects.

Asia Pacific Journal of Tourism Research
National Research University Higher School of Economics (RU), Multimedia University (MY), Al-Farabi Kazakh National University (KZ), Ankara Yıldırım Beyazıt University (TR), Massey University (NZ), University of Hradec Králové (CZ)
No poverty
Openalex Percentile: Top 3%
Diverse Aspects of Tourism Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.