Spatial Analysis of the Distribution of Small Businesses in the Eastern Villages of Gilan Province with Emphasis on the Tourism Sector in Mountainous Regions

Hajilo, Mehdi; Masoom, M Ghadiri; Langroudi, Seyed Hassan Motiee; Sabokbar, H A Faraji; Pennington‐Gray, Lori

doi:10.3390/su9122238

Cited by 14 publications

(12 citation statements)

References 31 publications

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“…The results showed that using spatially weighted regression method is more suitable than classical regression methods in the hedonic pricing models where the spatial impacts are considered to be higher. These results are consistent with the studies in the literature (Latinopoulos, 2018; Kostakis and Theodoropoulou, 2017;Hajilo et al, 2017).…”

Section: Discussionsupporting

confidence: 93%

“…He suggests a tourism spatial structure by using strategies to optimize China's tourist location (Wang et al, 2018). Hajilo et al (2017) examined the spatial analysis of the distribution of small facilities in the eastern part of the Ghilan province by underlining the tourism in mountainous areas. And finally, they have found that the distribution of the facilities for all kinds of activities is much higher in plains and valleys compared to the hills and mountainous areas.…”

Section: Literature Reviewmentioning

confidence: 99%

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Determination of hedonic hotel room prices with spatial effect in Antalya

Yalçın

2018

EST

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El propósito de este estudio es identificar los factores que afectan el precio de la habitación hotelera en Antalya y crear un modelo de regresión hedónica. Para este propósito, se han seleccionado 1444 hoteles en Antalya. Puesto que estos hoteles están relacionados espacialmente, se ha propuesto un modelo de regresión espacial. Se aplicó la regresión paso a paso (stepwise) a las variables del análisis espacial. El modelo de regresión hedónica se ha construido según el modelo Lag o de retardo espacial (Spatial Lag Model), revelando que es posible utilizar dicho método en estudios similares.

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Section: Discussionsupporting

confidence: 93%

Section: Literature Reviewmentioning

confidence: 99%

Determination of hedonic hotel room prices with spatial effect in Antalya

Yalçın

2018

EST

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“…In the form of tourism economic spatial organization, Hajilo et al [28] analyzed the spatial distribution characteristics of tourism enterprises in the eastern part of Gilan Province. Shih [16] empirically tested a sample of drive tourists taken from 16 destinations in Nantou, Taiwan, and analyzed the structural characteristics of their network locations on different tourism routes.…”

Section: Network Analysis In Tourism Economic Cooperationmentioning

confidence: 99%

Tourism Economic Network Structural Characteristics of National Parks in the Central Region of China

Wang

Gan

et al. 2021

Sustainability

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The social network analysis has been actively applied in various tourist destinations, with a few studies on the tourism economic network structure of national parks. Taking the national parks in the Central Region of China as research objects, this study applies the modified gravity model to measure the strength of tourism economic connection. The social network analysis method (SNA) is used to analyze the network structure of tourism economic connection among national parks from the perspectives of overall network density, network centrality, and cohesive subgroups. The results show that the intensity of the tourism relationships among national parks in Central China is unbalanced in spatial distribution. The structure of tourism economic network presents a multi-core model. Lushan Mountain, Shaoshan, Wudang Mountain, and other national parks play a necessary role in the transmission of regional tourism economic elements. There are cohesive subgroups of connections among national parks, which are closely related to administrative divisions and regional cultural background. The subgroups of interior scenes in the same province are more closely related, and the degree of tourism integration still needs to be improved. The study advances the understanding of tourism economic network relationships among tourist attractions in a destination.

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“…In general, the contribution of entrepreneurship to economic development has been documented both in developing and developed countries [2]. The development of small businesses in rural areas has been particularly recognized as a key strategy to improve rural livelihoods [3]. Entrepreneurship enables local communities to use local resources as tourism products that provide socio-economic benefits to their communities [2].…”

Section: Introductionmentioning

confidence: 99%

“…Entrepreneurship enables local communities to use local resources as tourism products that provide socio-economic benefits to their communities [2]. Entrepreneurial engagement in small tourism businesses has the potential to contribute to social, economic, and environmental outcomes for local communities by offering sustainable solutions to job creation, provision of goods and services, and preservation of natural resources [3,4]. Tourism empowers local communities, where empowerment is a multidimensional concept that includes economic, social, political, and psychological empowerment [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Bonding and Bridging Forms of Social Capital in Wildlife Tourism Microentrepreneurship: An Application of Social Network Analysis

Morais

Seekamp

et al. 2018

Sustainability

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Tourism has been recognized as an important economic sector, requiring a high degree of involvement from the entrepreneurial sector to diversify tourism products and services to meet increasing demand. Tourism is often considered a tool for economic development and a strategy to improve the livelihoods of rural citizens. Specifically, nature-based tourism, such as wildlife tourism, is growing faster than tourism in general, providing a myriad of opportunities for small-scale entrepreneurial engagement. However, several obstacles exist for these small-scale tourism enterprises, such as a lack of social capital. This study examined a network of wildlife tourism microentrepreneurs for bonding and bridging forms of social capital using a social network analysis approach, where bonding and bridging social capital have their own interpretation. Thirty-seven in-person interviews were conducted with wildlife tourism microentrepreneurs from North Carolina's Pamlico Sound Region. The study revealed that microentrepreneurs interacted with each other in a bridging network structure. The ability to reciprocate with other members of the network was essential for business success. The results identified four key bridging ties connecting potential sub-groups in the network, connected to each other in a redundant fashion. We concluded that the formation of a bridging network structure was a function of entrepreneurial phenomena that may not promote a highly trusted, well-connected network. The findings and implications are further discussed in the paper.

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Spatial Analysis of the Distribution of Small Businesses in the Eastern Villages of Gilan Province with Emphasis on the Tourism Sector in Mountainous Regions

Cited by 14 publications

References 31 publications

Determination of hedonic hotel room prices with spatial effect in Antalya

Determination of hedonic hotel room prices with spatial effect in Antalya

Tourism Economic Network Structural Characteristics of National Parks in the Central Region of China

Bonding and Bridging Forms of Social Capital in Wildlife Tourism Microentrepreneurship: An Application of Social Network Analysis

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