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Academic Journal of Business & Management, 2023, 5(25); doi: 10.25236/AJBM.2023.052523.

Research on the Contribution of Ecotourism to Economic Growth Based on Regression Models—A Case Study of Qinghai Province

Author(s)

Gao Jie

Corresponding Author:
Gao Jie
Affiliation(s)

Qinghai University, Xining City, Qinghai Province, China, 810016

Abstract

The tourism, as a crucial component of the national economy, has experienced rapid development in recent years. Investigating sustainable development is of significant importance to mitigate the adverse environmental resulting from the exponential growth in this sector. Sustainable development is high potential for any community within economic, social, cultural, ecologic and physical constraints. The Qinghai province in China possesses distinctive ecological resources and a significant proportion of environmentally sensitive areas[1]. The present study discusses the potentialities of sustainable development in Qinghai Province through ecotourism and investigates the impact of the tourism industry on the economy of Qinghai Province from 2010 to 2019. The study utilizes the number of tourists as a direct and primary indicator to examine the relative attractiveness of different forms of ecotourism to visitors. It aims to provide valuable insights for the sustainable development of the tourism industry and ultimately derive conclusive findings and recommendations[2].

Keywords

ecotourism, regression models, tourism resources, Qinghai province

Cite This Paper

Gao Jie. Research on the Contribution of Ecotourism to Economic Growth Based on Regression Models—A Case Study of Qinghai Province. Academic Journal of Business & Management (2023) Vol. 5, Issue 25: 153-159. https://doi.org/10.25236/AJBM.2023.052523.

References

[1] World Commission on Environment and Development (WCED) (1987), Our Common Future, Oxford University Press, 54. 

[2] WU Chun-you,XIE Feng-yuan and QUAN Hua. (2009). Contribution of tourism development to China’s economic growth. Science-Technology and Management, 11(6), 9-16.

[3] FENNELL D A. (2017)Ecotourism. 4th Edition. ZHANG L Y, MA X Q. Beijing: Commercial Press, 3-25.

[4] Li, W. (2004). Environmental management indicators for ecotourism in China’s nature reserves: A case study in Tianmushan Nature Reserve. Tourism Management, 25, 559–564. 

[5] Mu,fanfan. (2021).Exploring the Model of Tourism Economic Growth to Promote High-Quality Regional Economic Development—A Review of "Research on the Growth of China's Regional Tourism Economy" by China Social Sciences Press.1, 180.

[6] Gu,J. and Di P.W.A. (2020). New Model for the Development of Tourism Industry in the Multi-ethnic Regions of the Qinghai-Tibet Plateau Based on the Ecological and Cultural Perspective, Economic Affairs, 23-30.

[7] Zeng X.H. (2021). Exploring the Development of Ecotourism Industry in Pastoral Areas of Qinghai Province—A Case Study of Qilian. Consumer Market. 2, 37-38.

[8] LAW R, LI G, FONG D K C, et al. (2019). Tourism demand forecasting: A deep learning approach. Annals of Tourism Research. 75, 410-423.

[9] Yang L.X, Yin S.L.(2008). Application and analysis of artificial intelligence method in tourism forecasting. tourism tribune.23( 9) : 17-22.

[10] Rohit Agrawal , Vishal A Wankhede b , Anil Kumar c, et al. Big data analytics and sustainable tourism: A comprehensive review and network based analysis for potential future research[J]. International Journal of Information Management Data Insights 2022(2) 100—122.