{"title":"利用基于 DEA 的指标体系探索能源与旅游经济增长之间的关系:旅游目的地的可持续发展案例","authors":"","doi":"10.1016/j.envsci.2024.103858","DOIUrl":null,"url":null,"abstract":"<div><p>The promotion of sustainable tourism to advance the United Nations Sustainable Development Goals has garnered considerable attention. This paper aims to present a comprehensive analytical framework with data envelopment analysis (DEA) based index systems for examining the interaction between energy and the economic growth of tourism, with a specific focus on tourism destinations within the Yangtze River Delta region of China. The significance of energy in enhancing tourism economy efficiency is established by treating energy input as separable and disposable, while non-energy inputs are considered quasi-fixed. Subsequently, a quasi-fixed energy input directional distance function within the DEA framework has been developed to assess tourism economy efficiency. Furthermore, this paper explores the relationships among environmental pollution, tourism carbon emissions, and tourism economy growth using coupling coordination and decoupling models, respectively. The results indicate that, although improving, there remains a gap for tourism destinations to achieve integrated development between environmental and economic systems. The decoupling type of tourism destinations transitions from expansive negative decoupling to strong decoupling, and the relationship between tourism economic development and tourism carbon emissions tends to be coordinated. This paper provides an empirical study on the measurement of tourism economy efficiency and the relationship between carbon emissions, environmental pollution, and tourism performance. 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This paper aims to present a comprehensive analytical framework with data envelopment analysis (DEA) based index systems for examining the interaction between energy and the economic growth of tourism, with a specific focus on tourism destinations within the Yangtze River Delta region of China. The significance of energy in enhancing tourism economy efficiency is established by treating energy input as separable and disposable, while non-energy inputs are considered quasi-fixed. Subsequently, a quasi-fixed energy input directional distance function within the DEA framework has been developed to assess tourism economy efficiency. Furthermore, this paper explores the relationships among environmental pollution, tourism carbon emissions, and tourism economy growth using coupling coordination and decoupling models, respectively. 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引用次数: 0
摘要
促进可持续旅游业以推动联合国可持续发展目标的实现已引起广泛关注。本文旨在提出一个基于数据包络分析(DEA)指标体系的综合分析框架,以研究能源与旅游业经济增长之间的相互作用,并特别关注中国长江三角洲地区的旅游目的地。将能源投入视为可分离和可支配的,而将非能源投入视为准固定的,从而确定了能源在提高旅游经济效率方面的重要性。随后,在 DEA 框架内建立了准固定能源投入方向距离函数,用于评估旅游经济效率。此外,本文还利用耦合协调模型和解耦模型分别探讨了环境污染、旅游碳排放和旅游经济增长之间的关系。结果表明,旅游目的地在实现环境与经济系统一体化发展方面虽有所改善,但仍存在差距。旅游目的地的解耦类型由扩张型负解耦向强解耦过渡,旅游经济发展与旅游碳排放之间的关系趋于协调。本文对旅游经济效率的测量以及碳排放、环境污染与旅游绩效之间的关系进行了实证研究。它有助于加深对实施可持续综合区域发展战略的理解。
Exploring energy and tourism economy growth nexus with DEA-based index systems: The case of sustainable development of tourism destinations
The promotion of sustainable tourism to advance the United Nations Sustainable Development Goals has garnered considerable attention. This paper aims to present a comprehensive analytical framework with data envelopment analysis (DEA) based index systems for examining the interaction between energy and the economic growth of tourism, with a specific focus on tourism destinations within the Yangtze River Delta region of China. The significance of energy in enhancing tourism economy efficiency is established by treating energy input as separable and disposable, while non-energy inputs are considered quasi-fixed. Subsequently, a quasi-fixed energy input directional distance function within the DEA framework has been developed to assess tourism economy efficiency. Furthermore, this paper explores the relationships among environmental pollution, tourism carbon emissions, and tourism economy growth using coupling coordination and decoupling models, respectively. The results indicate that, although improving, there remains a gap for tourism destinations to achieve integrated development between environmental and economic systems. The decoupling type of tourism destinations transitions from expansive negative decoupling to strong decoupling, and the relationship between tourism economic development and tourism carbon emissions tends to be coordinated. This paper provides an empirical study on the measurement of tourism economy efficiency and the relationship between carbon emissions, environmental pollution, and tourism performance. It advances understanding towards implementing sustainable and integrated regional development strategies.
期刊介绍:
Environmental Science & Policy promotes communication among government, business and industry, academia, and non-governmental organisations who are instrumental in the solution of environmental problems. It also seeks to advance interdisciplinary research of policy relevance on environmental issues such as climate change, biodiversity, environmental pollution and wastes, renewable and non-renewable natural resources, sustainability, and the interactions among these issues. The journal emphasises the linkages between these environmental issues and social and economic issues such as production, transport, consumption, growth, demographic changes, well-being, and health. However, the subject coverage will not be restricted to these issues and the introduction of new dimensions will be encouraged.