拉达克喜马拉雅地区可持续旅游业面临的挑战

IF 4.2 Q1 BUSINESS
Stanzin Padma, Tawheed Nabi
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引用次数: 0

摘要

本研究旨在探讨和分析拉达克喜马拉雅地区可持续旅游业面临的挑战。该研究采用了定量方法,利用了包含500个观测值的数据集。本文采用相关性、t检验和SPSS AMOS作为主要统计工具,对拉达克地区各因素对旅游业可持续性影响的相关假设进行检验。研究结果揭示了拉达克可持续旅游景观的显著相关性和差异性。环境挑战、基础设施限制、社会文化影响和经济因素被确定为影响该地区旅游业可持续性的关键因素。该研究强调需要采取全面和协作的方法来应对这些挑战。政策、社区参与和可持续发展方面的战略干预对于平衡经济增长与保护拉达克的自然和文化遗产至关重要。其独创性在于利用大量数据集和统计工具进行全面分析,为政策制定者、当地社区和旅游业提供实用见解。这项研究增加了价值,为有针对性的战略提供了信息,这些战略可以促进可持续旅游实践,并有助于拉达克作为喜马拉雅地区首屈一指的旅游目的地的长期福祉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges of Sustainable Tourism in the Himalayan Region of Ladakh

This study aims to explore and analyze the challenges of sustainable tourism in the Himalayan region of Ladakh. The research adopts a quantitative approach, utilizing a dataset comprising 500 observations. Correlation, t tests, and SPSS AMOS are employed as key statistical tools to test hypotheses related to the impact of various factors on the sustainability of tourism in Ladakh. The findings of the study reveal significant correlations and disparities in Ladakh's sustainable tourism landscape. Environmental challenges, infrastructural limitations, sociocultural impacts, and economic factors are identified as critical elements influencing the sustainability of tourism in the region. The study emphasizes the need for a holistic and collaborative approach to address these challenges. Strategic interventions in policy, community engagement, and sustainable development are crucial to balancing economic growth with the conservation of Ladakh's natural and cultural heritage. The originality lies in the comprehensive analysis using a substantial dataset and statistical tools, offering practical insights for policymakers, local communities, and the tourism industry. The study adds value by informing targeted strategies that can promote sustainable tourism practices and contribute to the long-term well-being of Ladakh as a premier Himalayan destination.

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来源期刊
Business Strategy and Development
Business Strategy and Development Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
5.80
自引率
6.70%
发文量
33
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