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Visa restrictions and their adverse economic and marketing implications – Evidence from China

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  • Song, Haiyan
  • Gartner, William C.
  • Tasci, Asli D.A.

Abstract

Governments spend considerable public resources, including tax dollars, on marketing their cities or countries in order to become a strong brand attractive for exports, foreign direct investment and tourism. Ironically at the same time, self-imposed and strict visa regulations that can potentially hamper the productivity of marketing and branding are fairly common. There are valid reasons for imposing strict visa regulations, two of the most important being national and economic security. Although strict visa regulations are a common phenomenon around the world, the tourism academia have yet to argue against strict visa regulations by providing empirical evidence on their potential impact on tourism demand, and hence the economy. The current study is a pioneer attempt to generate awareness about the potential detrimental impacts of visa restrictions on a country’s economy, by using the case of People’s Republic of China, one of the countries known to have a history of strict visa regulations. The research reported in this paper was based on the standard tourism demand function, which models the causal relationship between tourism demand and a number of macroeconomic variables. The autoregressive distributed lag model (ADLM) was used since it has a dynamic specification that takes the time path of the tourist decision-making process into consideration by using both current and lagged values of variables. Results show the negative effect of visa regulations on both country-level and prefecture-level economies. Implications are discussed and recommendations provided.

Suggested Citation

  • Song, Haiyan & Gartner, William C. & Tasci, Asli D.A., 2012. "Visa restrictions and their adverse economic and marketing implications – Evidence from China," Tourism Management, Elsevier, vol. 33(2), pages 397-412.
  • Handle: RePEc:eee:touman:v:33:y:2012:i:2:p:397-412
    DOI: 10.1016/j.tourman.2011.05.001
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    References listed on IDEAS

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    Cited by:

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    3. Li, ShiNa & Li, Hengyun & Song, Haiyan & Lundberg, Christine & Shen, Shujie, 2017. "The economic impact of on-screen tourism: The case of The Lord of the Rings and the Hobbit," Tourism Management, Elsevier, vol. 60(C), pages 177-187.
    4. Camila Gracheva & Leonid Polishchuk & Koen Schoors & Alexander Yarkin, 2015. "Institutions and Visa Regimes," HSE Working papers WP BRP 114/EC/2015, National Research University Higher School of Economics.
    5. Xi Wu & Adam Blake, 2023. "Does the combination of models with different explanatory variables improve tourism demand forecasting performance?," Tourism Economics, , vol. 29(8), pages 2032-2056, December.
    6. Tien Duc Pham & Son Nghiem & Larry Dwyer, 2018. "The economic impacts of a changing visa fee for Chinese tourists to Australia," Tourism Economics, , vol. 24(1), pages 109-126, February.
    7. Fang Meng & Tongqian Zou & Hengyun Li & Yaqing Ren & Pei Zhang, 2016. "International tourism hub," Tourism Economics, , vol. 22(6), pages 1225-1244, December.
    8. Can Wang & Xianming Meng & Mahinda Siriwardana & Tien Pham, 2022. "The impact of COVID-19 on the Chinese tourism industry," Tourism Economics, , vol. 28(1), pages 131-152, February.
    9. Andrés Artal-Tur & Vicente J. Pallardó-López & Francisco Requena-Silvente, 2016. "Examining the impact of visa restrictions on international tourist flows using panel data," Estudios de Economia, University of Chile, Department of Economics, vol. 43(2 Year 20), pages 265-279, December.
    10. Yang, Yang & Zhang, Honglei, 2019. "Spatial-temporal forecasting of tourism demand," Annals of Tourism Research, Elsevier, vol. 75(C), pages 106-119.
    11. Zhang, Hanyuan & Song, Haiyan & Wen, Long & Liu, Chang, 2021. "Forecasting tourism recovery amid COVID-19," Annals of Tourism Research, Elsevier, vol. 87(C).
    12. Tekleselassie, Tsegay Gebrekidan, 2016. "Three essays on the impact of institutions and policies on socio-economic outcomes," Economics PhD Theses 1316, Department of Economics, University of Sussex Business School.
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