Impact of tourism activities on water pollution in the West Lake Basin (Hangzhou, China)

Sun, Qiong; Zheng, Liu

doi:10.1515/geo-2020-0119

Cited by 27 publications

(13 citation statements)

References 8 publications

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“…Existing studies have shown that tourism can have adverse effects on the environment. For example, several scholars have revealed that while tourism actively promotes the development of the economy, it also causes adverse effects in terms of water pollution [21,22]. In addition, several studies have found that negative impacts on the environment and biodiversity are most pronounced near tourist resorts [23,24].…”

Section: Literature Reviewmentioning

confidence: 99%

The Carbon Emission Reduction Effect of Tourism Economy and Its Formation Mechanism: An Empirical Study of China’s 92 Tourism-Dependent Cities

Tong

Zhang

2022

IJERPH

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The tourism economy is regarded as an effective way to realize regional sustainable development. Hence, it is of great significance to explore whether and how tourism economy can alleviate regional carbon emission intensity. To this end, a structural equation model (SEM) reflecting the multiple pathways of the carbon emission reduction effect of tourism economy was constructed based on 92 tourism-dependent cities in China, and the existence and formation mechanism of the carbon emission reduction effect of tourism economy were empirically tested. The main findings are as follows: (1) The tourism economy has a significant carbon emission reduction effect in China. Although the direct impact of tourism economy on carbon emission intensity is significantly positive, the indirect impact is significantly negative and stronger than the direct impact. (2) The carbon emission reduction effect of tourism economy presents multiple pathways characteristics. There are single intermediary pathways such as Tourism Economy → Environmental Regulation → Carbon Emission Intensity, Tourism Economy → Opening-Up → Carbon Emission Intensity, and dual intermediary pathways such as Tourism Economy → Opening-Up → Industrial Development → Carbon Emission Intensity, Tourism Economy → Opening-Up → Innovation Capacity → Carbon Emission Intensity. (3) The formation mechanism of the carbon emission reduction effect of tourism economy presents obvious spatial heterogeneity.

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Section: Literature Reviewmentioning

confidence: 99%

The Carbon Emission Reduction Effect of Tourism Economy and Its Formation Mechanism: An Empirical Study of China’s 92 Tourism-Dependent Cities

Tong

Zhang

2022

IJERPH

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“…We also found that the growth rate of the TWF was consistently larger than that of tourism revenue and that the two were not synchronous, indicating that tourism water consumption was not effectively controlled in the 2013-2018 period. This unsynchronized trend also appeared in the development of West Lake tourism; tourism revenue increased by 21% while tourism waste increased by 55% [18]. This series of phenomena is contrary to the goal of water conservation in tourism.…”

Section: Spatial and Temporal Differences In The Twfmentioning

confidence: 97%

“…LMDI analysis allowed the identification of the driving forces that affected the changes in the TWF of each province, based on which tourism water use policies can be formulated to reduce regional disparities. Sun and Liu [18] found that the number of tourists and tourism income in West Lake increased water pollution, which means that the grey water footprint increased. Similarly, the growth of the TWF in China was mainly driven positively by the number of tourists and per capita tourist expenditure; however, the driving effect weakened continuously, probably due to the increase in the proportion of elderly tourists and the change in the structure of tourist expenditure.…”

Section: Twf Driving Factorsmentioning

confidence: 99%

Spatial and Temporal Differentiation of the Tourism Water Footprint in Mainland China and Its Influencing Factors

et al. 2021

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While tourism generates economic benefits at destinations, it also creates certain environmental pressures. In the global context of water scarcity, the spatial and temporal differentiation characteristics of water consumption at tourism destinations have become a focus of attention. Based on panel data, the present study calculates the change trends in China’s tourism water footprint (TWF) in the 2013–2018 period using input-output analysis, analyses the regional differences in TWF changes using kernel density estimation and the Theil index, and investigates the driving factors of the spatial and temporal differentiation of the TWF using the logarithmic mean Divisia index model. The results indicate that (1) the tourism water consumption in China increased year-by-year but that the tourism water use efficiency improved; (2) the proportion of the TWF for accommodation and food in the total TWF gradually increased, while the proportion of the TWF for transportation continuously decreased; (3) the TWF of each region increased continuously, with the absolute difference between regions gradually increasing and the difference in the TWF intensity gradually decreasing; and (4) decomposition analysis showed that the TWF in China was positively driven by per capita expenditure and the number of tourists, with the role of TWF intensity shifting from inhibition to promotion, and that each driving force changed with time. Based on the spatial and temporal differences in the TWF, the provinces in China are divided into five categories, and targeted countermeasures and suggestions are proposed.

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“…Normally, the model of panel data contains three types. Failure to select the appropriate model will make the result quite different, so the model checking work must be completed [20,21]. First, we choose the F test method to test, and if the result shows that the null hypothesis is rejected, the model can be selected.…”

Section: Model Constructionmentioning

confidence: 99%

Accounting of Air Pollution on Tourism Economic Loss in Fuzhou Based on Big Data Analysis

Zhu

2022

Mathematical Problems in Engineering

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When measuring the overall image of a city, air quality is one of the main indicators which is closely related to the quality of life. For a city, it is also a concrete manifestation of the tourist attraction ability. Air pollution in urban areas has already had an important impact on the daily lives of residents. It not only has a direct impact on human health but also affects human emotions, travel consumption, outdoor activities, and other aspects, thereby affecting economic vitality. Since air quality is a core indicator to measure the comprehensive image of a city, in order to effectively increase people’s sense of experience and enhance the local tourist attraction ability, this paper studies the air pollution impact on tourist cities. When exploring the impact of Fuzhou’s scenic spots and tourism frequency on air pollution, the number of scenic spots and reviews published on the Meituan software from 2018 to 2019 is selected as the research object. In the actual analysis, tourist attractions are divided into tourist attractions selected by people outside of Fuzhou and tourist attractions selected by residents. The empirical results show that the frequency of local travel will be reduced by 0.090 percentage points for every one percentage point increase in the air quality index. It can be calculated that the annual local travel due to the increase in the air quality index will reduce the number of tourist attractions in Fuzhou by approximately 2.4511 million. Every time the air index rises by 0.164 percentage points, the corresponding annual reduction in tourists is 11.733 million. Through the analysis of these 6 scenic spots, it can be concluded that whether it is scenic spots suitable for local people’s tourism or scenic spots for tourists from all over the world, air pollution will reduce the frequency of scenic spots travel, which will cause urban tourism economic losses. Through the research of related theoretical data, it can be found that haze weather and air pollution have a negative impact on Fuzhou’s scenic spot income and tourism growth rate. At the same time, air pollution will also affect the comfort of the city and then have a negative impact on the city’s investment environment and the living environment, which will affect the city’s economic development and other aspects of construction.

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Impact of tourism activities on water pollution in the West Lake Basin (Hangzhou, China)

Cited by 27 publications

References 8 publications

The Carbon Emission Reduction Effect of Tourism Economy and Its Formation Mechanism: An Empirical Study of China’s 92 Tourism-Dependent Cities

The Carbon Emission Reduction Effect of Tourism Economy and Its Formation Mechanism: An Empirical Study of China’s 92 Tourism-Dependent Cities

Spatial and Temporal Differentiation of the Tourism Water Footprint in Mainland China and Its Influencing Factors

Accounting of Air Pollution on Tourism Economic Loss in Fuzhou Based on Big Data Analysis

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