Analysis Based on Multiple Data Models—Development of Tourism Economy under the Background of the Belt and Road Initiative

Li Boyi (), Liu Zhongxu (), Wang Rongyu (), Zhang Jiayi () and Zhang Jiabao ()
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Li Boyi: JiLin University of Finance and Economics, School of Finance
Liu Zhongxu: JiLin University of Finance and Economics, School of International Economics and Trade
Wang Rongyu: JiLin University of Finance and Economics, School of Finance
Zhang Jiayi: JiLin University of Finance and Economics, School of International Exchange
Zhang Jiabao: JiLin University of Finance and Economics, School of Accounting

A chapter in Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024), 2024, pp 596-603 from Springer

Abstract: Abstract The Belt and Road Silk Economic Belt is personally planned and laid out at the national level, and now more than 50 countries have joined the construction of the Belt and Road or benefited from the Belt and Road Economic Belt. This paper takes the “Belt and Road” initiative as the background, discusses the development of tourism economy under the initiative, and adopts multi-data model for in-depth analysis. Through the collection and sorting of relevant data, combined with appropriate economic theories and models, this paper reveals the impact of the “Belt and Road” Initiative on the tourism industry of participating countries and regions and its future development trend. The study found that the Belt and Road Initiative has promoted transnational cooperation and exchanges in tourism, promoted economic growth and job opportunities in relevant countries and regions, but also faced some challenges and problems. By constructing a multi-data model, this paper provides theoretical and empirical support for further deepening the understanding of tourism economic development under the background of “One Belt and One Road”.

Keywords: Belt and Road; tourism economy; multi-data model; development trend (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-488-4_67

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DOI: 10.2991/978-94-6463-488-4_67

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