Mapping of climate vulnerability of the coastal region of Bangladesh using principal component analysis

Uddin, Md. Nasir; Islam, A. K. M. Saiful; Bala, Sujit Kumar; Islam, G. M. Tarekul; Adhikary, Sudipta; Saha, Debanjali; Haque, Shammi; Fahad, Golam Rabbani; Akter, Rabeya

doi:10.1016/j.apgeog.2018.12.011

Cited by 184 publications

(78 citation statements)

References 60 publications

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“…PCA helps to reduce the dimensionality of data 44 into a comparable component that preserved the originality of data. 45 , 46 , 47 Our purpose is to reduce the dimensionality of a set of variables preserving as much information from the original variables 48 as possible. In such a case, principal component analysis is the most accepted suitable methodology.…”

Section: Methodsmentioning

confidence: 99%

COVID-19: District level vulnerability assessment in India

Sarkar¹,

Chouhan²

2021

Clinical Epidemiology and Global Health

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Objectives COVID-19 Pandemic has brought a threatening challenge to the world and as well as for Indian society and economy. In India, it has become a public health disaster and its' intensity increasing continuously. For the disaster risk reduction, and capacity building against the COVID-19 pandemic understanding of the relationship between socio-environmental conditions with the pandemic is very necessary. The objective of the present work is to construct a socio-environmental vulnerability index of the potential risk of community spread of COVID-19 using socio-economic and environmental variables. Methodology In this, cross-sectional study principal component analyses have been used to drive SoEVI. 4 uncorrelated sub-index has been extracted from 16 sub-indicators which reflects 59% of the variance. Aggregation of 4 Sub-Index has been done to obtain the final vulnerability Index. Results Results show that there is spatial variability in vulnerability based on environmental and socio-economic conditions. Districts of north and central India found more vulnerable then south India. Statistical significance has been tested using regression analysis, positive relation has been found between vulnerability index and confirmed and active cases. Conclusion The vulnerability index has highlighted environmentaly and socioeconomicallybackward districts. These areas will suffer more critical problems against COVID-19 pandemic for their socio-environmental problem.

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Section: Methodsmentioning

confidence: 99%

COVID-19: District level vulnerability assessment in India

Sarkar¹,

Chouhan²

2021

Clinical Epidemiology and Global Health

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“…Price issue is a significant determinant for the people of Bangladesh, as most of the people are looking for low price and quality items (Tinne, 2011). The gender inequality is shrinking day by day, and the economic power of women is also increasing along with men in Bangladesh (Uddin et al, 2019). So, from the cultural and socio-economic perspective of Bangladesh, the field of consumer research based on the purchase intention for counterfeit luxury items is quite necessary.…”

Section: Introductionmentioning

confidence: 99%

Factors affecting consumers’ purchase intention for counterfeit luxury goods in Bangladesh

Gani

Alam

Mostaquim-Al-Islam³

et al. 2019

Innovative Marketing

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The purpose of study is to examine the factors behind the purchase intention for counterfeit luxury goods in Bangladesh using the Theory of Planned Behavior (TPB). This research also sought to measure the effect of product attribute, brand image, level of income, price, and gender regarding the purchase intention for counterfeit luxury goods. Data were gathered from a sample of 242 individual respondents living in different areas of Dhaka city who had experience of purchasing various counterfeit luxury goods. A structured questionnaire was used to obtain survey data through a personal interview. Descriptive statistics, reliability statistics, one-way ANOVA, and multiple regression analysis have been used to analyze the collected data. The results show that among five factors, only three of them, such as product attribute, brand images and level of income, are more influential predictors in purchase intention for counterfeit luxury items than price and gender. The findings of the study show a better understanding based on a developing country on how these factors affect purchasing intention of counterfeit luxury items. Thus, the study intends to identify different socio-demographic and behavioral predictors in terms of counterfeiting luxury goods. The result depicts that comparing to original products, Bangladeshi consumers are more prone to use counterfeit luxury items to maintain social values and status. Finally, limitations and managerial implications of the study, along with future research avenues, have been discussed.

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“…Social vulnerability is defined as the inability of people, organisations and societies to withstand adverse impacts from the multiple stressors to which they are exposed (Adger 1999;Adger and Kelly 1999). Vulnerability and related characteristics have been characterised for deltas (Chapter 6), including coastal Bangladesh (Uddin et al 2019). Here a first preliminary transboundary assessment of social vulnerability to adverse change is shown for the whole GBM Delta in Fig.…”

Section: Adaptation Migration and A Way Forwardmentioning

confidence: 99%

Ganges-Brahmaputra-Meghna Delta, Bangladesh and India: A Transnational Mega-Delta

Rahman

Ghosh

Salehin

et al. 2019

Deltas in the Anthropocene

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The Ganges-Brahmaputra-Meghna (GBM) Delta at the north of the Bay of Bengal is administrated by both India and Bangladesh. It is characterised by a number of livelihood opportunities resulting from high population density, as well as a number of biophysical and socioeconomic challenges (flooding, erosion, cyclones, salinisation, water logging, etc.) which are increasing alongside the changing climate and anthropogenic developments.

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Mapping of climate vulnerability of the coastal region of Bangladesh using principal component analysis

Cited by 184 publications

References 60 publications

COVID-19: District level vulnerability assessment in India

COVID-19: District level vulnerability assessment in India

Factors affecting consumers’ purchase intention for counterfeit luxury goods in Bangladesh

Ganges-Brahmaputra-Meghna Delta, Bangladesh and India: A Transnational Mega-Delta

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