Financial problems faced by micro, small and medium enterprises in the small island states: a case study of the manufacturing sector of the Fiji Islands

2013 ◽  
Vol 6 (1) ◽  
pp. 1 ◽  
Author(s):  
Suwastika Naidu ◽  
Anand Chand
Keyword(s):  
Small And Medium Enterprises ◽  
Manufacturing Sector ◽  
Small Island ◽  
Financial Problems ◽  
Island States ◽  
Fiji Islands ◽  
Small Island States ◽  
Medium Enterprises

scholarly journals Assessing OpenStreetMap Completeness for Management of Natural Disaster by Means of Remote Sensing: A Case Study of Three Small Island States

2019 ◽  
Author(s):  
Ran Goldblatt ◽  
Nicholas Jones ◽  
Jenny Mannix
Keyword(s):  
Natural Disasters ◽  
Critical Infrastructure ◽  
Health And Safety ◽  
Remotely Sensed ◽  
Current Data ◽  
Small Island ◽  
Island States ◽  
Management Actions ◽  
Small Island States

Over the last few decades, many countries, especially Caribbean island ones, have been challenged by the devastating consequences of natural disasters, which pose a significant threat to human health and safety. Timely information related to the distribution of vulnerable population and critical infrastructure are key for an effective disaster relief. OpenStreetMap (OSM) has repeatedly been shown to be highly suitable for disaster mapping and management. However, large portions of the world, including countries exposed to natural disasters, remain unmapped. In this study, we propose a methodology that relies on remotely sensed measurements (e.g. VIIRS, Sentinel-2 and Sentinel-1) and derived classification schemes (e.g. forest and built-up land cover) to predict the completeness of OSM building footprints in three small island states (Haiti, Dominica and St. Lucia). We find that the combinatorial effects of these predictors explain up to 94% of the variation of the completeness of OSM building footprints. Our study extends the existing literature by demonstrating how remotely sensed measurements could be leveraged to evaluate the completeness of OSM database, especially in countries at high risk of natural disasters. Identifying areas that lack coverage of OSM features could help prioritize mapping efforts, especially in areas vulnerable to natural hazards and where current data gaps pose an obstacle to timely and evidence-based disaster risk management actions.

scholarly journals Assessing OpenStreetMap Completeness for Management of Natural Disaster by Means of Remote Sensing: A Case Study of Three Small Island States (Haiti, Dominica and St. Lucia)

2020 ◽  
Vol 12 (1) ◽  
pp. 118 ◽  
Author(s):  
Ran Goldblatt ◽  
Nicholas Jones ◽  
Jenny Mannix
Keyword(s):  
Natural Disasters ◽  
Infrared Imaging ◽  
Critical Infrastructure ◽  
Health And Safety ◽  
Remotely Sensed ◽  
Current Data ◽  
Small Island ◽  
Island States ◽  
Small Island States

Over the last few decades, many countries, especially islands in the Caribbean, have been challenged by the devastating consequences of natural disasters, which pose a significant threat to human health and safety. Timely information related to the distribution of vulnerable population and critical infrastructure is key for effective disaster relief. OpenStreetMap (OSM) has repeatedly been shown to be highly suitable for disaster mapping and management. However, large portions of the world, including countries exposed to natural disasters, remain incompletely mapped. In this study, we propose a methodology that relies on remotely sensed measurements (e.g., Visible Infrared Imaging Radiometer Suite (VIIRS), Sentinel-2 and Sentinel-1) and derived classification schemes (e.g., forest and built-up land cover) to predict the completeness of OSM building footprints in three small island states (Haiti, Dominica and St. Lucia). We find that the combinatorial effects of these predictors explain up to 94% of the variation of the completeness of OSM building footprints. Our study extends the existing literature by demonstrating how remotely sensed measurements could be leveraged to evaluate the completeness of the OSM database, especially in countries with high risk of natural disasters. Identifying areas that lack coverage of OSM features could help prioritize mapping efforts, especially in areas vulnerable to natural hazards and where current data gaps pose an obstacle to timely and evidence-based disaster risk management.

Assessing the Impact of the South China Sea Arbitration on Small Island States: A Case Study of Kiribati

2019 ◽  
Vol 34 (4) ◽  
pp. 778-799
Author(s):  
Stuart Kaye
Keyword(s):  
South China Sea ◽  
South China ◽  
Small Island ◽  
High Threshold ◽  
China Sea ◽  
Island States ◽  
The Pacific ◽  
Small Island States ◽  
The Impact

AbstractThe Annex VII Tribunal in the South China Sea Arbitration placed a high threshold on States seeking to claim an exclusive economic zone (EEZ) around small features. The implications of such an interpretation are potentially significant for the maritime jurisdiction of a number of States, particularly in the Pacific. This article considers the implications of the decision of the Tribunal, and applies it to Kiribati as a case study. It also considers possible ways States may minimize the risk associated with the Tribunal’s interpretation.

Development of a methodology to assist manufacturing SMEs in the selection of appropriate lean tools

2016 ◽  
Vol 7 (1) ◽  
pp. 62-84 ◽  
Author(s):  
Osama Alaskari ◽  
Mohammad Munir Ahmad ◽  
Ruben Pinedo-Cuenca
Keyword(s):  
Literature Review ◽  
Performance Indicators ◽  
Small And Medium Enterprises ◽  
Manufacturing Sector ◽  
Content Type ◽  
Lean Tools ◽  
Medium Enterprises ◽  
Practical Implications ◽  
Selection Of

Purpose – The purpose of this paper is to develop a methodology that can help small and medium enterprises (SMEs), in the manufacturing sector, to select an appropriate lean tool for the company which will maximum benefits from adopting the tool. Design/methodology/approach – This study focuses on the selection of an appropriate lean tool for manufacturing SMEs. The methodology contains a quantitative approach that can assist SMEs in identifying the appropriate lean tool. A literature review, collation of experts’ opinions via a questionnaire and a case study (to provide a guideline as to how the developed methodology may work) are presented in this research. Findings – The findings revealed that the proposed methodology was effective in identifying the appropriate lean tools for companies, according to the key performance indicators in the manufacturing SME sector. Practical implications – The developed methodology can be used by manufacturing SMEs as a decision support system to enable the representatives of the company to make an informed decision regarding the selection of the most appropriate lean tool (i.e. that will address the most important issue that the company is experiencing). The strength of using this methodology is that appropriate lean tool can be ascertained relatively easily and inexpensively. There is the prospect of this methodology being applicable to most types of SMEs. Originality/value – This methodology has proven to be useful for recommending the application of lean tools in a company’s attempt to become lean, bridging the gap identified in the literature review.

scholarly journals Financing for universal health coverage in small island states: evidence from the Fiji Islands

2017 ◽  
Vol 2 (2) ◽  
pp. e000200 ◽  
Author(s):  
Augustine D Asante ◽  
Wayne Irava ◽  
Supon Limwattananon ◽  
Andrew Hayen ◽  
Joao Martins ◽  
...  
Keyword(s):  
Universal Health Coverage ◽  
Small Island ◽  
Health Coverage ◽  
Island States ◽  
Fiji Islands ◽  
Small Island States ◽  
Universal Health
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