Drivers of and Obstacles to Urban Competitiveness from the Perspective of the Garment Sector

Muzzini, Elisa; Aparicio, Gabriela

doi:10.1596/9780821398593_ch05

Cited by 4 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bangladesh, an emerging economy in South Asia, has been experiencing accelerated urban growth in the last few decades [28]. More than one-third of the population of this country now lives in urban areas [29,30].…”

Section: Discussionmentioning

confidence: 99%

Changing Land Use and Urban Dynamics around an Industrial Zone in Bangladesh: A Remote Sensing Analysis

Basak,

Momtaz,

Gaston

et al. 2023

Land

View full text Add to dashboard Cite

This article examines the adverse effect of rapid industrialization around Bangladesh’s Dhaka Export Processing Zone (DEPZ) by analyzing Landsat satellite images captured between 1989 and 2019. Image classification was performed to separate built-up areas with machine learning algorithms in Google Earth Engine. Image analysis was conducted using ArcMap and ArcGIS Pro. Field observations, interviews, and the literature review provided information for explanations about the phenomenon observed from satellite image analyses. The findings reveal that when DEPZ started its operation in 1993, there was hardly any built-up area in the vicinity. Within three decades, over 25% of the land within a 5 km radius of DEPZ has been converted into a built-up area, triggering an almost seven-fold increase in population. Industrial and urban growth in the DEPZ area has caused significant soil and water pollution in the broader region. As a result, the quantity and quality of agricultural land has degraded. In the long run, the planned industrial development initiative has contributed to unsustainable urban growth and environmental consequences. Insights drawn from this article can guide policymakers to re-evaluate their policy for rapid and large-scale industrialization.

show abstract

Section: Discussionmentioning

confidence: 99%

Changing Land Use and Urban Dynamics around an Industrial Zone in Bangladesh: A Remote Sensing Analysis

Basak,

Momtaz,

Gaston

et al. 2023

Land

View full text Add to dashboard Cite

show abstract

“…In the census of slum areas in 2014, a total of 13,938 slums were counted covering all cities and other urban areas of Bangladesh, out of which 33.62% were from Dhaka North (11.80%), Dhaka South (12.59%), and Gazipur (9.23%) City Corporations [ 9 ]. Therefore, the current study was conducted among the selected slums of three major city corporations of the Dhaka division: Dhaka North City Corporation (situated in the northern zone with an area of 196.22 km 2 and an approximate population of 2.5 million), Dhaka South City Corporation (located in the southern site with an area of 109.251 km 2 and an approximate population of 12 million), and Gazipur City Corporation (situated in the southern zone with an area of 329.23 km 2 and an approximate population of 2.5 million) [ 31 , 32 , 33 , 34 ].…”

Section: Methodsmentioning

confidence: 99%

Health-Related Quality of Life among Rural-Urban Migrants Living in Dhaka Slums: A Cross-Sectional Survey in Bangladesh

Koly

Islam

Reidpath

et al. 2021

IJERPH

View full text Add to dashboard Cite

Background: The study aimed to assess the health-related quality of life (HRQoL) and its associated factors among urban slum dwellers who migrated from different rural parts of Bangladesh. Methods: The present study analyzed data from a Migration and Mobility Determinants on Health survey and was conducted in 2017 among 935 migrant slum dwellers of Dhaka city (North & South) and Gazipur City Corporations, as a part of the icddr,b’s Urban Health and Demographic Surveillance System (UHDSS). The face-to-face interviews were conducted with the adult population by using a semi-structured questionnaire that included variables related to socio-demographics, migration, occupation, and HRQoL (SF-12). Bivariate and multiple linear regression analyses were performed to determine the factors associated with HRQoL. Results: The mean (±SD) scores of physical component summary (PCS), and mental component summary (MCS) were 57.40 ± 22.73 and 60.77 ± 22.51, respectively. As per multiple regression analysis, lower PCS scores were associated with having older age, being female, and not having any job. Mean MCS scores were significantly lower among participants who reported having older age, not having any job, not working/ less working hours (≤8 h/day), as well as increased work-related stress in the current urban slum. Conclusions: The findings suggest that available urban social protection programs should include a comprehensive social safety net for the improvement of the slum infrastructure as well as proper health care and risk mitigation plans at workplaces.

show abstract

“…It is also the commercial capital of Bangladesh, having the busiest seaport in the country, accounting for 92% of import/export cargo [90] and holding around 40% of the country's large-scale industries [91]. It contributes 50% of the tax revenue and around 11% of the GDP for Bangladesh [1]. With a population of just over 4 million, the city of Chattogram accounts for 9.07% of the overall population and 20% of the overall built-up area of all the municipalities in Bangladesh [3,92].…”

Section: Study Areamentioning

confidence: 99%

“…Bangladesh has experienced healthy economic growth over the last several decades, largely driven by a transition from a rural agriculture-based economy towards a more modern urban economy [1]. This has resulted in a surge of migration from the rural areas into the cities [2] and rapid expansions of urban footprints, particularly among the largest cities such as Dhaka and Chattogram [3].…”

Section: Introductionmentioning

confidence: 99%

Examining the Use of Urban Growth Boundary for Future Urban Expansion of Chattogram, Bangladesh

Bajracharya

Sultana

2022

Sustainability

View full text Add to dashboard Cite

With the rapid and unregulated nature of urban expansion occurring in Chattogram, Bangladesh, the adoption of urban growth restriction mechanisms such as the urban growth boundary (UGB) can provide a robust framework necessary to direct the development of built-up areas in a way that curtails the growth in environmentally sensitive areas of the city. Using a support vector machine (SVM)-based urban growth simulation model, this paper examines the areas of future contiguous expansion of the city to aid in the delineation of the UGB. Utilizing landcover, topographic, and population density data from a variety of sources for the past twenty years, the SVM method with the radial basis function (RBF) kernel is used to develop a model based on fourteen predictor variables. A grid-search is used to tune the hyperparameters and determine the best performance combination of the hyperparameters for the RBF kernel function used in the SVM. The final SVM model using the best performance combination of the hyperparameters indicates a high percentage agreement of 91.79% and a substantial agreement for the Kappa coefficient of 0.7699. The developed SVM simulation model identifies potential areas that are more likely to undergo urban expansion in Chattogram in the next twenty years and provides aids for a stringent and strict delineation of UGB for this region.

show abstract

Drivers of and Obstacles to Urban Competitiveness from the Perspective of the Garment Sector

Cited by 4 publications

References 0 publications

Changing Land Use and Urban Dynamics around an Industrial Zone in Bangladesh: A Remote Sensing Analysis

Changing Land Use and Urban Dynamics around an Industrial Zone in Bangladesh: A Remote Sensing Analysis

Health-Related Quality of Life among Rural-Urban Migrants Living in Dhaka Slums: A Cross-Sectional Survey in Bangladesh

Examining the Use of Urban Growth Boundary for Future Urban Expansion of Chattogram, Bangladesh

Contact Info

Product

Resources

About