Sustainable Development of Green Tourism Supply Chain Considering Blockchain Traceability and Government Subsidies

Jixia Zheng (), Rui Chen (), Qinggen Zeng (), Yanan Chen () and Qianlin Ye ()
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Jixia Zheng: Jiangxi University of Science and Technology
Rui Chen: Jiangxi University of Science and Technology
Qinggen Zeng: Jiangxi University of Science and Technology
Yanan Chen: Jiangxi University of Science and Technology
Qianlin Ye: Jiangxi University of Science and Technology

Annals of Data Science, 2025, vol. 12, issue 4, No 8, 1315-1342

Abstract: Abstract This study examines the issue of green information distortion and its impact on tourists’ purchasing decisions, as well as the associated high transaction costs within the green tourism supply chain. By selecting a green tourism supply chain with varying government subsidy schemes as the focus of the research, the objective is to explore optimal subsidy strategies and assess the implications of blockchain integration. A three-level Stackelberg game model is established, featuring the government as the leader and a scenic spot (SS) and travel agency (TA) as participants. Key findings include: (1) Production subsidies are more effective in boosting market demand than environmental investment subsidies, particularly when tourist green trust and preferences are high. (2) Blockchain enhances greenness, market demand, and social welfare, positively influencing the green tourism supply chain (GTSC). (3) Tourist green preference and trust significantly affect GTSC optimization, especially as preferences increase. Additionally, a cost-sharing smart contract mechanism is designed to mitigate environmental investment's negative impact and optimize social welfare and product greenness.

Keywords: Green trust; Green tourism supply chain; Blockchain technology; Government subsidies (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s40745-025-00588-x

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