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Keywords = consumer surplus (CS)

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23 pages, 2911 KB  
Article
Tourist Adaptation to Environmental Change: Evidence from Gangshika Glacier for Sustainable Tourism
by Rongzhu Lu, Yixin Wang, Jinqiao Liu, Yuchen Wang, Dan Yang, Yan Jiang, Xiaoyang Zhao, Liqiang Zhao and Naiang Wang
Sustainability 2025, 17(23), 10808; https://doi.org/10.3390/su172310808 - 2 Dec 2025
Viewed by 722
Abstract
Global warming has accelerated glacier retreat worldwide, intensifying the vulnerability of ecosystem services and posing challenges to the sustainability of glacier-based tourism. Understanding how environmental changes influence tourist behavior is essential for balancing ecological conservation with tourism development. This study examines the Gangshika [...] Read more.
Global warming has accelerated glacier retreat worldwide, intensifying the vulnerability of ecosystem services and posing challenges to the sustainability of glacier-based tourism. Understanding how environmental changes influence tourist behavior is essential for balancing ecological conservation with tourism development. This study examines the Gangshika Glacier in the Lenglongling region of the eastern Qilian Mountains, China. By integrating Revealed Preference (RP) and Stated Preference (SP) data within a Travel Cost–Contingent Behavior (TC-CB) model, we assess the recreational value of glacier tourism and simulate tourist responses under alternative environmental scenarios. The findings indicate that the total annual recreational value of the site is approximately 6.52 billion CNY, with a per-visit consumer surplus (CS) of 1.16 × 104 CNY. Moreover, environmental degradation exerts a statistically significant negative effect on visitation frequency (p < 0.01). Beyond quantifying economic value, the study highlights the broader implications for ecotourism management, emphasizing the need for dynamic environmental monitoring, low-impact infrastructure, and local community engagement. These results provide actionable insights into how glacier destinations can enhance resilience and contribute to sustainable development under climate change. Full article
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24 pages, 1270 KB  
Article
Addressing Industry Adaptation Resistance in Combating Brand Deception: AI-Powered Technology vs. Revenue Sharing
by Peng Liu
J. Theor. Appl. Electron. Commer. Res. 2025, 20(3), 154; https://doi.org/10.3390/jtaer20030154 - 1 Jul 2025
Cited by 1 | Viewed by 1152
Abstract
This paper studies a supply chain comprising a supplier, a third-party remanufacturer (TPR), and a retailer. The retailer sells both genuine and remanufactured products (i.e., Model O). Leveraging information advantages, the retailer may engage in brand deception by mislabeling remanufactured products as genuine [...] Read more.
This paper studies a supply chain comprising a supplier, a third-party remanufacturer (TPR), and a retailer. The retailer sells both genuine and remanufactured products (i.e., Model O). Leveraging information advantages, the retailer may engage in brand deception by mislabeling remanufactured products as genuine to obtain extra profits (i.e., Model BD). AI-powered anti-counterfeiting technologies (AIT) (i.e., Model BA) and revenue-sharing contracts (i.e., Model C) are considered countermeasures. The findings reveal that (1) brand deception reduces (increases) sales of genuine (remanufactured) products, prompting the supplier (TPR) to lower (raise) wholesale prices. The asymmetric profit erosion effect highlights the gradual erosion of profits for the supplier, retailer, and TPR under brand deception. (2) The bi-interval adaptation effect indicates that AIT is particularly effective in industries with low adaptation resistance. When both the relabeling rate and industry adaptation resistance are low (high), Model BA (Model O) achieves a triple win. (3) Sequentially, when the industry adaptation resistance is low, AIT can significantly improve total profits, consumer surplus (CS), and social welfare (SW). Compared to Model BD, revenue-sharing offers slight advantages in CS but notable disadvantages in SW. Full article
(This article belongs to the Section Data Science, AI, and e-Commerce Analytics)
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16 pages, 704 KB  
Article
Valuing the Recreation Benefits of Natural Springs in Florida
by Qianyan Wu, Xiang Bi, Kelly A. Grogan and Tatiana Borisova
Water 2018, 10(10), 1379; https://doi.org/10.3390/w10101379 - 2 Oct 2018
Cited by 13 | Viewed by 5846
Abstract
Karst springs are scenic natural resources in karst areas of Florida, currently under threat from increasing groundwater withdrawal from the Floridan Aquifer and pollution resulting from a variety of sources. This paper estimates the current recreation benefits from visiting springs using the travel [...] Read more.
Karst springs are scenic natural resources in karst areas of Florida, currently under threat from increasing groundwater withdrawal from the Floridan Aquifer and pollution resulting from a variety of sources. This paper estimates the current recreation benefits from visiting springs using the travel cost method and elicits residents’ willingness to contribute for springs restoration using the contingent valuation method. It further compares the performance of count data models correcting for endogenous stratification and truncation, and finds that the annual consumer surplus per person per trip is between $20 and $43, and the annual total recreational value for the four springs studied is about $25 million. Furthermore, visitors are willing to contribute $12 to $14 per person per trip for springs restoration without reducing trip demand. Full article
(This article belongs to the Section Water Resources Management, Policy and Governance)
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