Sustainable Development Modeling of Agritourism Clusters

Kazlouski, Vital; Ganski, Uladzimir; Platonenka, Alena; Vitun, Sviatlana; Sabalenka, Ina

doi:10.15544/mts.2020.12

Cited by 13 publications

(10 citation statements)

References 9 publications

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“…For instance, Ili and other cities introduced free entrance fees for national tourists to scenic spots above the A level and tourism transportation subsidies for tourists from other provinces. Since the 14th Five-Year Plan, the national strategy of rural revitalization has led to the development of regional specialties such as safflower, Chinese wolfberry, pomegranate, and tomato, processing into agrotourism and the synergistic development of agriculture and tourism [54], which has enriched tourism resources such as construction facilities. Meanwhile, in the context of China becoming the world's largest carbon emitter and promoting the "double carbon" goal, the adjustment of the industrial structure, industrial integration, and the full development of tourism and other low-carbon industries have become the main development direction [55].…”

Section: Socio-economic Factorsmentioning

confidence: 99%

Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest

Chang

Simayi

et al. 2022

IJERPH

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This study considers the Point of Interest data of tourism resources in Xinjiang and studies their spatial distribution by combining geospatial analysis methods, such as the average nearest neighbor index, standard deviation ellipse, kernel density analysis, and hotspot analysis, to explore their spatial distribution characteristics. Based on the analysis results, the following conclusions are made. Different categories of tourism resource sites have different spatial distributions, and all categories of tourism resources in Xinjiang are clustered in Urumqi city. The geological landscape resource sites are widely distributed and have a ring-shaped distribution in the desert area of southern Xinjiang. The biological landscape resources are distributed in a strip along the Tianshan Mountains. The water landscape resources are concentrated in the northern Xinjiang area. The site ruins are mostly distributed in the western region of Xinjiang. The distributions of the architectural landscape and entertainment and shopping resources are highly coupled with the distribution of cities. The distributions of the six categories of tourism resource points are in the northeast-southwest direction. The centripetal force and directional nature of the resource points of the water landscape are not obvious. The remaining five categories of resource points have their own characteristics. The distribution of resources in the site ruins is relatively even, and there are many hotspot areas in the geomantic and architectural landscapes, which are mainly concentrated in Bazhou and other places. The biological landscape has many cold-spot areas, distributed in areas such as Altai in northern Xinjiang and Hotan in southern Xinjiang. The remaining four categories have cold-spot and hotspot areas with different distributions. Tourism is an important thrust for economic development. The study of the distribution of tourism resources on the spatial distribution of tourism resources has clear guidance for later tourism development, can help the tourism industry optimize the layout of resources, and can promote tourism resources to achieve maximum benefits. The government can implement effective control and governance.

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Section: Socio-economic Factorsmentioning

confidence: 99%

Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest

Chang

Simayi

et al. 2022

IJERPH

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“…Galluzzo (2021) conducted a quantitative analysis of the role of GT to rural areas in Romania. In Kazlouski et al (2020), a model was developed and analyzed in which GT can be sustainable in rural areas. In other words, many studies consider GT from the business perspectives to increase local income or welfare.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Japan's local community power on green tourism

2022

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The purpose of this study was to analyze the impact of local community power on green tourism (after this, abbreviated as GT). The analytical features were as follows; First, we derived the concept of local community power from "agricultural village activity," "local activity", and "regional support," to describe the degree of cooperation and collaboration among people who use local resources related to agriculture. Second, a theoretical model for the impact of local community power on GT was developed and analyzed. Third, a covariance structure analysis was conducted on the relationships between local community power and GT using data from the 2015 agricultural census. Results of the analysis revealed that local community power has a positive impact on green tourism.

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“…PLSPM is a structural equation modeling framework that allows assessing the strengths of relationships between measured and latent factors hypothesized to have causal linkages using partial least squares techniques. PLSPM has been utilized for evaluating environmental effects in areas of study such as species richness, agritourism, and sustainability (Assaker et al, 2014;Ibrahim, 2017;Sanches Fernandes et al, 2018;Cataldo et al, 2020;Kazlouski et al, 2020;Li et al, 2020).…”

Section: Partial Least Squares Path Modeling (Plspm)mentioning

confidence: 99%

A Structural Equation Modeling Approach to Disentangling Regional-Scale Landscape Dynamics in Ghana

Peeling

Singh

Judge

2022

Front. Environ. Sci.

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Land cover (LC) change is an integrative indicator of changes in ecosystems due to anthropogenic or natural forcings. There is a significant interest in the investigation of spatio-temporal patterns of LC transitions, and the causes and consequences thereof. While the advent of satellite remote sensing techniques have enhanced our ability to track and measure LC changes across the globe, significant gaps remain in disentangling specific factors that influence, or in certain cases, are influenced by, LC change. This study aims to investigate the relative influence of regional-scale bioclimatology and local-scale anthropogenic factors in driving LC and environmental change in Ghana. This analysis builds upon previous research in the region that has highlighted multiple drivers of LC change in the region, especially via drivers such as deforestation, urbanization, and agricultural expansion. It used regional-scale remotely sensed, demographic, and environmental data for Ghana across 20 years and developed path models on causal factors influencing LC transitions in Ghana. A two-step process is utilized wherein causal linkages from an exploratory factor analysis (EFA) are constrained with literature-based theoretical constructs to implement a regional-scale partial least squares path model (PLSPM). The PLSPM reveals complex interrelationships among drivers of LC change that vary across the geography of Ghana. The model suggests strong effects of local urban expansion on deforestation and vegetation losses in urban and peri-urban areas. Losses of vegetation are in turn related to increases in local heating patterns indicative of urban heat island effects. Direct effects of heat islands are however masked by strong latitudinal gradients in climatological factors. The models confirm that decreases in vegetation cover results in increased land surface albedo that is indirectly related to urban and population expansion. These empirically-estimated causal linkages provide insights into complex spatio-temporal variations in potential drivers of LC change. We expect these models and spatial data products to form the basis for detailed investigations into the mechanistic underpinnings of land cover dynamics across Ghana. These analyses are aimed at building a template for methods that can be utilized to holistically design spatially-disaggregated strategies for sustainable development across Ghana.

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Sustainable Development Modeling of Agritourism Clusters

Cited by 13 publications

References 9 publications

Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest

Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest

Impact of Japan's local community power on green tourism

A Structural Equation Modeling Approach to Disentangling Regional-Scale Landscape Dynamics in Ghana

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