Seawater deterioration and the tourist beta convergence process: A geospatial big data analysis of the Spanish Mediterranean coast

Maté‐Sánchez‐Val, Mariluz; Aparicio-Serrano, Genoveva

doi:10.1080/13683500.2021.2021156

Cited by 5 publications

(1 citation statement)

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“…The authors in [ 19 ], in the study of the impact of rural tourism on poverty alleviation, also concluded the current problem of rural tourism products without regional characteristics, if the inclusion of experiential products will be able to increase the competitiveness of rural tourism. The authors in [ 20 ] used the classical SWOT analysis to conduct an in-depth analysis of the strengths, weaknesses, opportunities, and threats of urban agriculture in Chengdu, analyzed the current situation, characteristics, and problems including urban agriculture in Chengdu, and conducted an empirical study of urban agriculture models and proposed corresponding countermeasures for the mentioned models, for example, popularizing knowledge and changing citizens' concepts about developing and developing rural tourism products; innovating the investment and financing mechanism of rural agriculture; optimizing the regional layout of urban agriculture; and improving the land transfer system.…”

Section: Related Workmentioning

confidence: 99%

Econometric Analysis of Leisure Agriculture and Rural Tourism Scenery Based on Spatial Data Analysis

Liu¹,

Gao

2022

Computational Intelligence and Neuroscience

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Exploratory spatial data analysis (ESDA) shows that there is a significant spatial autocorrelation of tourism development in China, which is manifested by the aggregation of spatial distribution. The results of the great likelihood estimation of the spatial lag model show that the parameters ρ of both the total tourism income model and the domestic income model are significantly positive, indicating that the spatial linkage between agricultural and rural tourism income is very strong and the spillover effect of agricultural and rural tourism is larger than that of overall tourism. Tourism superstructure facilities, human resources, and tourism infrastructure are statistically significant and are important influencing factors for overall tourism and agricultural and rural tourism development. And the overall fit of agricultural and rural tourism model is poor. The findings of the study better grasp how to make rural tourism make a greater contribution to the regional economy of Chengdu and maximize its positive role, and put forward relevant countermeasure suggestions, which will provide theoretical guidance and decision-making reference for relevant departments on how to better play the economic effect of tourism, and will also have a realistic reference role on how to develop rural tourism in western cities of China.

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Section: Related Workmentioning

confidence: 99%