The Impact of Tourism on Ecosystem Services Value: A Spatio-Temporal Analysis Based on BRT and GWR Modeling

Liu, Jun; Yue, Mengting; Liu, Yiming; Wen, Ding; Tong, Yun

doi:10.3390/su14052587

Cited by 5 publications

(5 citation statements)

References 77 publications

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“…Traditional regression methods, such as the ordinary least squares (OLS) regression method, are global statistics, which assume that the relationships under study are constant over space. In contrast to a global model, GWR permits the relationships between the dependent variable and independent variables to vary spatially [39]. At present, this method has been widely used in spatial data analysis in geography, the environment, meteorology and other fields.…”

Section: Geographically Weighted Regression Modelmentioning

confidence: 99%

Distribution Differentiation and Influencing Factors of the High-Quality Development of the Hotel Industry from the Perspective of Customer Satisfaction: A Case Study of Sanya

Tong

2022

Sustainability

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Achieving customer satisfaction is an important goal of the high-quality development (HQD) of the hotel industry. The purpose of this study is to summarize the spatial distribution characteristics and influencing factors of the HQD of the hotel industry to better help improve hotel customer satisfaction and realize the HQD of the hotel industry. Taking Sanya as an example, this study applied kernel density analysis, grid analysis and a geographically weighted regression (GWR) model to reveal the distribution characteristics and influencing factors of the HQD of the hotel industry. The research results show that (1) from 2010 to 2020, both budget hotels and luxury hotels showed an increasing trend year by year and the degree of spatial agglomeration was continuously strengthened. (2) The overall HQD of the hotel industry in Sanya is at a medium to high level, but the development between different regions is unbalanced. The HQD level of the hotel industry in the eastern part of the city is better than that in the western region. (3) There are significant differences in the HQD level and its spatial distribution characteristics of budget hotels and luxury hotels. (4) Hardware facilities, price levels, market popularity and traffic conditions have a positive impact on the HQD level of the hotel industry, while hotel scale and business prosperity have a negative impact on the HQD level of the hotel industry. The public service level does not pass the significance test. The conclusions of this study can provide theoretical reference for the decision-making of HQD of urban tourism.

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Section: Geographically Weighted Regression Modelmentioning

confidence: 99%

Distribution Differentiation and Influencing Factors of the High-Quality Development of the Hotel Industry from the Perspective of Customer Satisfaction: A Case Study of Sanya

Tong

2022

Sustainability

Self Cite

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“…The accuracy of the analysis results is higher, and the degree of agreement with the objective reality is higher. At present, the GWR model is widely used in many aspects of geography and related spatial analysis [94][95][96][97][98][99]. The GWR model was as follows [95,100].…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Evolution and Influencing Factors of the Rural Natural Capital Utilization Efficiency: A Case Study of Chongqing, China

Shi

2022

Land

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The efficient utilization and optimal allocation of natural capital play an important role in economic development and human well-being. The production process of natural capital is the input and output processing of its ecological resources and the environment. Improving the rural natural capital utilization efficiency (RNCUE) is an important goal of natural capital investment, and the efficient utilization of natural capital is an important factor for the efficient operation of the regional economy and society. This study uses the super slack-based measure (SBM) model based on undesirable outputs to measure the RNCUE, combines the exploratory data analysis method (ESDA) and spatial Markov transfer matrix to analyse the spatiotemporal evolution characteristics of efficiency, and analyses the influencing factors of the change of the RNCUE in Chongqing through a spatial econometric model. The results show that: (1) The RNCUE in Chongqing is still at a low level as a whole and there is a large space for efficiency improvement and efficient operation. There is a certain spatial dependence on the interaction of efficiency between adjacent districts and counties. (2) High-high agglomeration is concentrated in the western area of Chongqing One-hour Economic Circle, and low-low agglomeration is concentrated in Southeast and Northeast Chongqing. The probability of a large change in the RNCUE in consecutive years is small, and it is easy to form the phenomenon of “club convergence” in space. (3) The RNCUE in Chongqing has been affected by rainfall, temperature, NDVI, the per capita GDP, proportion of fixed asset investment, expenditure for agriculture, and proportion of primary industry and rural population. The influencing factors show that the spatial heterogeneity is significant. The RNCUE has a negative correlation with forest coverage and the expenditure for agriculture, is not significantly positive or negative with the proportion of the primary industry and is positively correlated with the rural population density. This study points out that we can improve the RNCUE in Chongqing by optimizing the spatial differentiation control mechanism, clarifying property rights, enhancing liquidity, and strengthening scientific and technological innovation.

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“…Exploring the impact of tourism on ecosystems is essential for the sustainable development of agricultural heritage sites. Previous studies have predominantly examined the impact of tourism on heritage sites [42,51]. This study, however, explores how various tourism models affect the ecosystem service value (ESV) of villages, which are fundamental elements of heritage sites.…”

Section: Research Limitationsmentioning

confidence: 99%

Impacts of Different Tourism Models on Rural Ecosystem Service Value in Ziquejie Terraces

Shi,

Mo,

Xie

et al. 2024

Sustainability

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Villages are important components of agricultural heritage sites, and their tourism models significantly impact ecosystem service value (ESV). This study takes Zhenglong Village (culture and tourism integration), Ziquejie Village (farmstay type), and Jizhai Village (sightseeing type) with different tourism models in the Ziquejie Terraces heritage site as the research objects. Firstly, a single dynamic land use model and a land use transfer matrix were used to reveal rural land use changes driven by three different tourism models. Secondly, changes in ESV in the three villages were assessed with a valuation model. Finally, the welfare per unit area of villagers obtained from ecosystem services (ESs) was calculated. The results showed that: (1) From 2006 to 2022, the built-up area in the three villages gradually increased, primarily converting from farmland. Zhenglong Village experienced the smallest degree of change in both farmland and built-up areas. (2) The total ESV in Zhenglong Village increased by 0.35 times, the highest among the three villages. (3) Zhenglong Village saw the largest increase in welfare per unit area of villagers, from 82,551 CNY in 2006 to 111,785 CNY in 2022. Therefore, adopting a culture and tourism integration model in this heritage site is most conducive to conserving and enhancing the rural ESV, improving villagers’ welfare, and promoting the sustainable development of villages and heritage sites.

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The Impact of Tourism on Ecosystem Services Value: A Spatio-Temporal Analysis Based on BRT and GWR Modeling

Cited by 5 publications

References 77 publications

Distribution Differentiation and Influencing Factors of the High-Quality Development of the Hotel Industry from the Perspective of Customer Satisfaction: A Case Study of Sanya

Distribution Differentiation and Influencing Factors of the High-Quality Development of the Hotel Industry from the Perspective of Customer Satisfaction: A Case Study of Sanya

Spatiotemporal Evolution and Influencing Factors of the Rural Natural Capital Utilization Efficiency: A Case Study of Chongqing, China

Impacts of Different Tourism Models on Rural Ecosystem Service Value in Ziquejie Terraces

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