Search results

This study aims to acknowledge the social capital challenges faced by female entrepreneurs in Small Island Developing States (SIDS), specifically the Maldives. As budding female entrepreneurs in a predominantly traditional culture are somewhat limited in their quest for economic empowerment, this study aims to clarify the role of social capital dimensions – structural, relational and cognitive – in shaping entrepreneurial intentions among women in the Maldives.

Data were gathered from 325 female business students from ten tertiary educational institutions in the Maldives. After establishing its validity and reliability, the data were analysed using partial least squares structural equation modelling, including hypothesis testing.

Structural social capital (SSC) has a significant positive influence on attitude (ATE), subjective norms (SNs), perceived behavioural control (PBC) and entrepreneurial intention (EI). Relational social capital (RSC) has a significant positive influence on ATE and SNs and a significant negative influence on PBC and EI; cognitive social capital (CSC) has a significant positive influence on ATE, SNs and PBC, but does not significantly influence EI. Additionally, ATE, SNs and PBC are significantly associated with EI. The results also show that the indirect and direct effects through the mediation of ATE, SNs and PBC are significant in the relationship between SSC, RSC and EI. Furthermore, this study reveals an indirect effect on the relationship between CSC and EI.

The findings outline the intricate mechanism by which social capital influences EI. These findings provide useful insights for establishing policies and organising relevant programmes to promote female entrepreneurship in SIDS.

To the best of the authors’ knowledge, this study is one of the first to examine the role of social capital in a unique setting, such as SIDS. Moreover, this study integrates the heterogeneous role of social capital into the female EI model. This highlights the urgency of developing relevant social capital among women to promote EI.

The COVID-19 pandemic caused schools across the world to close their physical facilities and switch from face-to-face classes to remote learning. This research investigates the consequences of school closures during the pandemic on families and children from marginalized sections of society. The setting of the Galapagos Islands is characterized by poor Internet access and performance, resulting in a detrimental effect on the education of students from vulnerable sectors of society.

Using data from an empirical context, this case study seeks to enhance statistical results from a provincial level household survey with quantitative information from participatory development planning workshops and plans.

Statistical analysis evidences the compound effect of the COVID-19 pandemic on the more vulnerable families living in the Galapagos. Both economic wellbeing and children's ability to attend classes online during school closures were linked to respondents' education levels. Participatory development planning workshops highlighted further inequality, and the plans resultant from the process sought to overcome challenges and address needs by contextualizing education for sustainable island living.

This case study emphasizes the impact of school closures due to the COVID-19 pandemic on vulnerable sectors of society. In the Galapagos Islands, the response to the compound effect of the pandemic and the other situational challenges has been to contextualize the educational curriculum towards the goal of sustainable living. The lessons learned from this experience will be applicable to other remote island groups.

Climate change has been identified as a pressing social, environmental and economical challenge that has been unequivocally linked to human activity through latest Intergovernmental Panel on Climate Change (IPCC) reports. It is here to stay with us for generations to come and is already causing severe tribulations across the world. As nations devise policies to mitigate to climate change to stay within the 1.5 degrees Celsius target and small island developing states (SIDS) like Mauritius and the developing world in general find means to adapt to its consequences, a core shortcoming highlighted is the lack of community engagement and grassroots action so that policies permeate to concrete action. Of prime importance for this to happen is raising awareness on the climate change phenomenon, which has so far been a topic deemed complex for the general public, hence creating systemic barriers for climate action. The use of artificial intelligence (AI) can play a significant role in designing such community outreach programmes based on outcomes reported in literature in the educational sector in support of Sustainable Development Goal (SDG) 4: Quality Education. There is growing interest for a green lifestyle in the world population, and this chapter shows how the home can be used as a basic building block for allowing each household to contribute to climate action, while offering an effective case study to raise awareness on climate change through practical examples and demonstration, in support for SDG 11: Sustainable Cities and Communities. Based on an energy-water-materials nexus, the circular home concept is a clear contribution to SDG 13: Climate Action, with huge potential to use AI techniques and underpinning technologies to implement and optimise the efficacy of the proposed measures.

Mauritius is a Small Island Development State (SIDS) with limited resources, and it has been witnessed that many containers used for storing household and industrial products are made from plastic. When discarded as waste, those plastic containers pose a serious environmental and economic challenge for Mauritius. Moreover, landfill space is getting increasingly scarce, and plastic waste is contaminating both land and water. Therefore, it is of the utmost necessity to develop solutions for Mauritius' plastic wastes. Due to its abundance and accessibility, plastic waste is a promising material for recycling and energy production. One potential solution is the use of machine learning and artificial intelligence (AI) to predict household plastic consumption, allowing policymakers to design effective strategies and initiatives to reduce plastic waste. Such information is a critical component to be able to efficiently plan for the collection and routing of trucks when collecting recyclable plastics. The development of new strategies for the recycling of plastic waste and development of new industry can address the import and export potential of the country to achieve self-sustainability as well as contribute to reduction in plastic pollution and amount of waste landfilled. These plastics can thereafter be used effectively for recycling and for the making of 3D printing filaments which fall under the SDGs 9 (Industry, Innovation and Infrastructure) and 12 (Responsible consumption and production).

The purpose of this study is to review empirical studies on the relationship between climate change and tourism for a period of 15 years, from 2007 to 2021. The main variables analyzed were research subjects, topics and economic development levels.

Literature review was used to analyze articles published on climate change and tourism from 2007 to 2021. A staged article selection process was followed using the Scopus database. Statistical comparison tests found differences among sub-groupings of articles.

The research articles on climate change and tourism continued their upward trajectory until 2021. The 893 articles analyzed were published in 254 different journals, with over 60% from non-tourism or cross-disciplinary journals. Significant differences were found by time period and between developed and developing countries.

Gaps in the literature were detected with respect to policy analysis and it was concluded that the research for developing nations remains insufficient. More research should be encouraged to focus on the situation and solutions to climate change and tourism in developing countries. Additional research is also needed on biodiversity declines in destinations because of climate change.

This research dealt exclusively with empirical research studies in academic articles. It compared results across three different time periods and between developing and developed countries. Statistical tests supported the comparisons.

This chapter provides an overview of the potential use of Intelligent Transport Systems (ITS) and associated artificial intelligence (AI) techniques in the land transport sector in an attempt to achieve related United Nations Sustainable Development Goals (SDGs) targets. ITS applications that have now been extensively tested worldwide and have become part of the everyday transport toolkit available to practitioners have been discussed. AI techniques applied successfully in specific ITS applications such as automatic traffic control systems, real-time image processing, automatic incident detection, safety management, road condition assessment, asset management and traffic enforcement systems have been identified. These methods have helped to provide traffic engineers and transport planners with novel ways to improve safety, mobility, accessibility and efficiency in the sector and thus move closer to achieving the various SDG targets pertaining to transportation.

Universities of Small Island States (SIS) have the potential to fulfill a crucial role in implementing the Sustainable Development Goals (SDGs) but also face barriers to local capacity building. The University of Aruba partly addresses these challenges through the development of The Academic Foundation Year (AFY), a one-year pre-university program aiming to optimally equip students for higher education. This study aims to assess to what extent the program can foster the local embeddedness of the students in ecology, culture and history and an understanding of opportunities and challenges for sustainable development in SIS.

The authors provide examples of how the program incorporates education for sustainable development and how it emphasizes experiential learning. In addition, quantitative survey data and qualitative analysis of focus group meetings are used to reflect on the program’s achievements and its potential for further development.

The survey results suggest that AFY courses not only increase knowledge but also change students’ perceptions regarding sustainability. Indeed, key impacts emerging from the student focus group related to both academic preparation and engagement with sustainability. Reflections by teachers emphasized the importance of experiential learning, an expansive view of the SDGs and preparing students as citizens.

This study highlights that the program could provide a starting point for the development of similar initiatives in other SIS, the common basis being the fostering of sustainability literacy and social adoption of the SDGs.