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The aim of the paper is to examine the renewable energy resources for enhancing a green energy development in the face of energy crisis and climate change, and to explore the prospects for “new” renewable energy sources and the green energy initiatives taken in the Pacific Island countries (PICs).

The data were collated from a wide variety of sources including policy documents, road maps, reports, research articles on renewable and green energy sources. The methodology adopted was primarily a qualitative one based on a “content analysis”.

The findings reveal that increasing emphases have been given recently to “new” renewable and green energy sources in the Pacific Island countries as mitigation and adaptation strategies to fuel crisis and climate change. PICs have taken a wide range of green energy initiatives including “biomass”, solar, wind and other non‐traditional renewable energy sources and bio‐fuels development. Prospects for coconut, copra and palm‐oil based bio‐fuels do exist in many PICs. Opportunities for ethanol bio‐fuels also exist especially in Fiji.

Renewable and green energy sources are of practical implications to PICs. There is, however, a greater need for framing sound energy policies by the PICs.

The author has brought out clear linkages between climate change and green energy development and analyzed the importance of new renewable energy sources, especially in PICs. The paper has higher policy relevance and it is of great value in the context of sustainable energy development in PICs.

It is now established by the global scientific community that climate change is a hard reality but the changes are complex in nature and to a great extent uncertain. Global circulation models (GCMs) have made significant contributions to the theoretical understanding of potential climate impacts, but their shortcomings in terms of assessing climate impacts soon became apparent. GCMs demonstrate significant skill at the continental and hemispheric scales and incorporate a large proportion of the complexity of the global system. However, they are inherently unable to represent local subgrid-scale features and dynamics. The first generation approaches of climate change impact and vulnerability assessments are derived from GCMs downscaled to produce scenarios at regional and local scales, but since the downscaled models inherit the biases of their parent GCM, they produce a simplified version of local climate. Furthermore, their output is limited to changes in mean temperature, rainfall, and sea level. For this reason, hydrological modeling with GCM output is useful for assessing impacts. The hydrological response due to change in climate variables in the Amu Darya River Basin was investigated using the Soil and Water Assessment Tool (SWAT). The modeling results show that there is an increase in precipitation, maximum and minimum temperature, potential evapotranspiration, surface runoff, percolation, and water yields. The above methodology can be practiced in this region for conducting adaptation and mitigation assessments. This initial assessment will facilitate future simulation modeling applications using SWAT for the Amu Darya River Basin by including variables of local changes (e.g., population growth, deforestation) that directly affect the hydrology of the region.

Ores and minerals are extracted from the earth’s crust depending on the type of deposit. Iron ore mines come under massive deposit patterns and have their own mine development and life cycles. This study aims to depict the development and life cycle of large open-pit iron ore mines and the intertwined organizational design of the departments/sections operated within the industry.

Primary data were collected on the site by participant observation, in-depth interviews of the field staff and executives, and field notes. Secondary data were collected from the literature review to compare and cite similar or previous studies on each mining activity. Finally, interactions were conducted with academic experts and top field executives to validate the findings. An organizational ethnography methodology was employed to study and analyse four large-scale iron ore mines of India’s largest iron-producing state, Odisha, from January to April 2023.

Six stages were observed for development and life cycle, and the operations have been depicted in a schematic diagram for ease of understanding. The intertwined functioning of organizational set-up is also discovered.

The paper will benefit entrepreneurs, mining and geology students, new recruits, and professionals in allied services linked to large iron ore mines. It offers valuable insights for knowledge enhancement, operational manual preparation and further research endeavours.