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Environmental, Geographical, and Economic Impacts of Inbound Tourism in China: A Mixed-Effects Gravity Model Approach

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  • Bo Zhu

    (School of Statistics, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Chien-Chih Wang

    (Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City 243303, Taiwan)

  • Che-Yu Hung

    (Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City 243303, Taiwan)

Abstract

This study examines the dynamics of inbound tourism in China, utilizing a mixed-effects gravity model to analyze data from urban clusters around China’s three major airports. The research methodology of the study includes applying advanced econometric techniques, such as the Poisson pseudo-maximum likelihood estimation, to ensure robust and accurate results. The study focuses on international tourist arrivals and foreign exchange earnings, identifying key drivers such as tourism resources, transportation safety, and service quality. Our findings indicate a 10% increase in per capita GDP correlates with a 0.88% rise in inbound tourist numbers. Additionally, proximity to major urban centers like Beijing, Shanghai, and Guangzhou significantly influences tourist arrivals, with every 100 km increase in distance resulting in a 5.56% decrease in tourist numbers. The study also explores the impact of environmental factors on tourism, suggesting that improvements in green coverage and reductions in industrial waste and traffic fatalities could enhance tourist arrivals. Conversely, environmental protection measures can both positively and negatively impact tourism. This research provides a strategic blueprint for policymakers and professionals in tourism and environmental sustainability, emphasizing the importance of integrated environmental sustainability in tourism development strategies. The model accounts for up to 79% of the variability in inbound tourism flows, offering robust evidence that economic and policy dimensions impact tourism.

Suggested Citation

  • Bo Zhu & Chien-Chih Wang & Che-Yu Hung, 2024. "Environmental, Geographical, and Economic Impacts of Inbound Tourism in China: A Mixed-Effects Gravity Model Approach," Sustainability, MDPI, vol. 16(15), pages 1-18, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6671-:d:1449720
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    References listed on IDEAS

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    1. Recep Ulucak & Ali Gökhan Yücel & Salih Çağrı İlkay, 2020. "Dynamics of tourism demand in Turkey: Panel data analysis using gravity model," Tourism Economics, , vol. 26(8), pages 1394-1414, December.
    2. You-Hai Lu & Peixue Liu & Xiaowan Zhang & Jun Zhang & Caiyun Shen, 2022. "Spatial-Temporal Differences in the Effect of Epidemic Risk Perception on Potential Travel Intention: A Macropsychology-Based Risk Perception Perspective," SAGE Open, , vol. 12(4), pages 21582440221, December.
    3. Jaume Rosselló Nadal & María Santana Gallego, 2022. "Gravity models for tourism demand modeling: Empirical review and outlook," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1358-1409, December.
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