Search results

This study aims to conduct a geographical analysis of the distribution and type of activities developed by social enterprises in rural and urban areas of Ireland.

The study analyses data of more than 4,000 social enterprises against a six-tier rural/urban typology, using descriptive statistics and non-parametric tests to test six hypotheses.

The study shows a geographical rural–urban pattern in the distribution of social enterprises in Ireland, with a positive association between the remoteness of an area and the ratio of social enterprises, and a lack of capital-city effect related to the density of social enterprises. The analysis also shows a statistically significant geographical rural–urban pattern for the types of activities developed by social enterprises. The authors observe a positive association between the remoteness of the areas and the presence of social enterprises operating in the community and local development sector whereas the association is not significant for social enterprises developing welfare services.

The paper shows the potential of using recently developed rural–urban typologies and tools such as geographical information systems for conducting geographical research on social enterprises. The findings also have implications for informing spatially sensitive policymaking on social enterprises.

The merging of a large national data set of social enterprises with geographical tools and data at subregional level contributes to the methodological advancement of the field of social enterprises, providing tools and frameworks for a nuanced and spatially sensitive analysis of these organisations.

This research aimed to maximize the value of date exports for the Kingdom of Saudi Arabia.

To achieve its objective, this study relied on secondary data and quantitative economic analysis represented by the Linear programming model.

This study showed that Saudi Arabia exports dates to the United Arab Emirates, Yemen, Kuwait, Turkey, Somalia, Jordan, Oman, India, Indonesia, Bangladesh Morocco, Lebanon, and others. The geographical concentration coefficient for the quantity and value of date exports was 35.05% and 34.74%, respectively, during the study period. Saudi Arabia exported a quantity of dates amounting to 83.08 thousand tons, representing 40.57% of the average total amount of Saudi dates exports during the study period, to Yemen, Somalia, India, Indonesia, Bangladesh, Egypt, China, Djibouti, Bahrain, and Ethiopia, at prices lower than the average export price of 1200.31 dollars/ton, and therefore the export policy needs to restructure the geographical distribution of date exports. Based on the models of geographical distribution, Saudi date exports value can be increased by 32.76–127.12 million dollars, meaning can be increased by 13.77% – 53.44%. In light of the results of the proposed models, this study recommends the need to restructure the geographical distribution of Saudi date exports so that the value of Saudi date exports can be increased by 127.12 million dollars from the current situation for the period 2017–2021.

The paper’s original contribution lies in its proposal to restructure the geographical distribution of Saudi date exports to increase the value of exports.

By combining geopolitical and economic factors and from a geoeconomic perspective, the importance of Gwadar to China and Pakistan is discussed in detail. By applying geoeconomic approach and based on the historical approach, geographical and geopolitical conditions and international development trends of Gwadar port, the authors develop the analytical framework to analyze the Gwadar port and studied its importance in the development of China and Pakistan, as well as the positive influence on the economic growth of both countries.

A geoeconomic study is done to run a more profound and more comprehensive analysis of China–Pakistan economic relationship, as geoeconomic includes interrelations of geographical, geopolitical and economic factors in international relations.

The results show that Gwadar Port's development could enhance the economic security of both China and Pakistan. With the opening of Gwadar Port, oil and energy in the Middle East will be imported directly to China through Pakistan's oil pipeline. This is not only oil but also goods from Central Asia, and even Europe and the USA will land from Gwadar Port and enter China through the China–Pakistan Economic Corridor (CPEC). The development of Gwadar port under the CPEC program could also dramatically increase the capacity of Pakistan's maritime trade while reducing its dependence on the current largest port, Karachi, near the India border.

Geo-economics theory is used to run a more profound and more comprehensive analysis of China–Pakistan economic relationship as geoeconomic includes interrelations of geographical, location, geopolitical and economic factors in international relations. By combining geopolitical and economic factors and from a geoeconomic perspective, this study seeks to analyze the Gwadar port development and its implications for both China and Pakistan.

While the sustainable development goals (SDGs) and visions for sustainability education apply to many methods, they can be hard to put into practice. This study aims to concern an undergraduate geography course designed not only to teach geographical methods but also to engage with the multi-scalar nature of the SDGs and apply them to various local urban sustainability issues in a real-world context.

By means of a mixed-method approach, the authors examine a fieldwork course that invites students into learning situations in which they combine critical thinking with entrepreneurial solutions to local sustainability challenges. The authors examine the learning material from the students’ cases and explore the geographical knowledge the students’ practise.

Fieldwork helps students contextualise the multi-scalar nature of the SDGs and thereby apply them to analyses in a local context. Students learn first-hand how their planning proposals can be seen as counterproductive by some local stakeholders while remaining attractive to others.

Student tasks are developed in collaboration with a local municipality and students present their findings to local politicians and stakeholders. Presenting and localising the SDGs within a local community not only encourages students to undertake a local community analysis but also provides new perspectives to local stakeholders.

Through geographical indications, the European Union aims to stimulate economies, especially in lagging rural regions, and to help consumers recognise and locate quality products from specific regions. The highly uneven distribution of geographical indications, and with that the unequal benefits of this policy, have been identified and discussed in the scientific literature on food and rural development.

Using a statistical analysis of the distribution of geographical indications, the paper tests the validity of several theoretical explanations that are offered in the literature for the uneven spatial distribution.

From this assessment, the paper concludes, amongst others, that common single-cause explanations for the uneven distribution of labels in Europe have weak explanatory value. Rather, the uneven distribution is based on a complex set of causes, with different effects at national and regional level. Moreover, the findings highlight that in contrast to its aim, the policy does not seem to benefit especially lagging rural regions.

The analysis of the uneven distribution of labels in Europe offered here suggests that a distinction should be drawn between the mechanisms resulting in regional food products versus the mechanisms resulting in regional food labels, such as geographical indications.

Projecting the population distribution in geographical regions is important for many applications such as launching marketing campaigns or enhancing the public safety in certain densely populated areas. Conventional studies require the collection of people’s trajectory data through offline means, which is limited in terms of cost and data availability. The wide use of online social network (OSN) apps over smartphones has provided the opportunities of devising a lightweight approach of conducting the study using the online data of smartphone apps. This paper aims to reveal the relationship between the online social networks and the offline communities, as well as to project the population distribution by modeling geo-homophily in the online social networks.

In this paper, the authors propose the concept of geo-homophily in OSNs to determine how much the data of an OSN can help project the population distribution in a given division of geographical regions. Specifically, the authors establish a three-layered theoretic framework that first maps the online message diffusion among friends in the OSN to the offline population distribution over a given division of regions via a Dirichlet process and then projects the floating population across the regions.

By experiments over large-scale OSN data sets, the authors show that the proposed prediction models have a high prediction accuracy in characterizing the process of how the population distribution forms and how the floating population changes over time.

This paper tries to project population distribution by modeling geo-homophily in OSNs.

The purpose of this paper is to study the optimization of the geographical location of a network of points of sale, so that each retailer can have access to a potential geographic market. In addition, the authors study the importance of the distance variable in the commercial viability of a point of sale and a network of points of sale, analysing if the best location for each point (local optimum) is always the best location for the whole (global optimum).

Location-allocation models are applied using p-median algorithms and spatial competition maximization to analyse the actual journeys of 64,740 car buyers in 1240 postal codes using a geographic information system (GIS) and geomarketing techniques.

The models show that the pursuit of individual objectives by each concessionaire over the collective provides poorer results for the whole network of points of sale when compared to coordinated competition. The solutions provided by the models considering geographic and marketing criteria permit a reduction in the length of journeys made by the buyers. GIS allows the optimal control of market demand coverage through the collaborative strategies of the supplying retailers, in this case, car dealerships.

The paper contributes to the joint research of geography and marketing from a theoretical and practical point of view. The main contribution is the use of information on actual buyer journeys for the optimal location of a network of points of sale. This research also contributes to the analysis of the correlation between the optimum local and optimum global locations of a commercial network and is a pioneering work in the application of these models to the automotive sector in the territorial area of the study.

This study aims to investigate the impact of international diversification on the value and operating efficiency of European real estate firms.

The study is conducted using a panel fixed effects regression model to estimate the relationship of international diversification with firm value and operating efficiency. International diversification is mainly measured via the negative of the Herfindahl–Hirschman Index (HHI) using property-level data. Firm value and operating efficiency are proxied by financial ratios observed annually from 2002 to 2021 at the firm level.

The results demonstrate that international diversification has a negative effect on firm value. Additionally, it lowers operating efficiency by weakening a firm's ability to generate operating earnings from its assets. By examining whether the reduction in operating efficiency is due to the rental income channel or the capital gains channel, the authors find strong statistical evidence that international diversification negatively impacts capital gains. International diversification is negatively associated with net gains from property valuations (unrealized capital gains) and net profits from property disposals (realized capital gains).

The empirical analysis is limited to Europe.

This paper extends the geographical diversification literature. While existing literature focuses on domestic diversification within the United States, this paper explores the effects of international diversification on European real estate firms. To the extent of the authors' knowledge, this is the first paper to examine the impact of geographical diversification on capital gains.

This research aims to contribute to the literature on sustainable hospitality and tourism by applying social network analysis to identify sustainable tourism business networks and untangle the role of cognitive and geographical proximity in their formation.

Data mining and machine learning techniques were applied to data collected from the websites of tourism companies located in northeastern Italy, namely, the Veneto region. Specifically, the authors used Web scraping to extract relevant information from the internet.

The results support the existence of geographical clusters of tourist accommodation providers that are linked by strong cognitive proximity based on sustainability principles that are well communicated via their websites. This does not appear to be greenwashing because companies that have agreed on sustainability principles have also implemented concrete actions and tend to signal these actions through a variety of sustainability certifications.

The results may guide tourism managers and policymakers in developing tourism initiatives directed at the creation of fruitful collaborations between similarly oriented organizations and methods to support clusters of sustainable tourism accommodation. Identifying sustainable tourism networks may assist in the identification of potential actors of change, fueling a widespread transition toward sustainability.

In this study, the authors adopted an innovative methodology to detect sustainability-oriented tourism business networks. Additionally, to the best of the authors’ knowledge, this study is one of the first to simultaneously explore the cognitive and geographical connections between tourism businesses.