This article addresses some of the most pressing issues related to climate change and its potential consequences, namely population migration in Southeast Asia. It sheds light on…
Abstract
Purpose
This article addresses some of the most pressing issues related to climate change and its potential consequences, namely population migration in Southeast Asia. It sheds light on how slow-onset events interact with other variables to limit the ability of people to adapt to stressors through human mobility.
Design/methodology/approach
The study adopts an analytical methodology to evaluate the extent to which the planning policy framework addresses these issues within the context of achieving resilient development.
Findings
Climate stressors will force millions of people to move within their own countries, while others will be forced to cross international borders, leaving others stranded. Desertification, sea level rise, ocean acidification, air pollution, changing rainfall patterns and biodiversity loss are all examples of slow-onset processes that the author believes will be exacerbated by climate change.
Research limitations/implications
This will exacerbate many existing humanitarian issues, and more people may be forced to flee their homes as a result. This research helps improve the understanding of migration’s social, economic and environmental implications.
Originality/value
The research offers a novel perspective and analysis of the unique migration challenges arising from climate change in the Southeast Asian context.
Details
Keywords
Mohammad A. Ashraf, Abu Zafar Rashed Osman and Sarker Rafij Ahmed Ratan
– The purpose of the present study is to identify the determinants that potentially influence quality education in private universities in Bangladesh.
Abstract
Purpose
The purpose of the present study is to identify the determinants that potentially influence quality education in private universities in Bangladesh.
Design/methodology/approach
To attain this objective, 234 data were collected through face-to-face interviews on campus during February-March 2013 from Bachelor of Business Administration students. The bootstrapping procedure through AMOS was applied to analyze the data apart from exploratory and confirmatory factor analysis.
Findings
The bootstrap path coefficients suggest that seven factors are statistically significant among the eight postulated independent variables. The outcomes of the confirmatory factor analysis, such as factor loadings, eigenvalues and percentage of variance explained, as well as reliability coefficients, are observed to conform to the results of path analysis, such as item loadings and path coefficients, which consistently increased the robustness of the study.
Practical implications
The overall results of the study would be beneficial to the planners to formulate the proper policy to ensure the quality excellence in the private higher educational institutes.
Originality/value
The research is based on empirical evidence which deserves originality in terms of data and methods of analysis.