scholarly journals Achieving Sustainable Development Goals in Bangladesh: Does Population Density Matter?

Author(s):  
Hafiza Khatun ◽  
Nazmoon Nahar Sumiya ◽  
Al Artat Bin Ali

Bangladesh, one of the most densely populated countries in the world with a density of about 1,265 persons per km2 having a limited land area with high development potential. Being able to accomplish noteworthy achievements in MDGs, Bangladesh is heading towards achieving the targets of the SDGs amid several challenges like high population, resource constraints, poverty etc. This study aims at addressing the challenges and prospect of increasing population density in achieving the SDGs. An exploratory approach has been applied to address how the density of population might influence the achievement of the SDGs. Data on population and other relevant parameters have been identified from census, published documents and articles. The current progress of SDGs attainment shows some of the goals are on track, but more progress could have been achieved unless being hindered by the high density of population. Feeding and providing the basic amenities to this huge population is quite a big challenge with limited resources, in contrast, optimum utilization of the demographic dividend by ensuring effective participation of the young active population in the current development process can also expedite the progress of attainment of SDGs. The adversities of the high density of population can essentially be offset by redistribution of urban population and decentralization of economic activities from major cities. Alongside appropriate and precise policy measures, comprehensive study on quantifying how the density of population is affecting the attainment of SDGs is recommended. The Dhaka University Journal of Earth and Environmental Sciences, Vol. 8(2), 2019, P 1-15

Author(s):  
MMA Sarker ◽  
DA Quadir ◽  
T Rashid ◽  
MN Ahasan ◽  
SD Shuvo ◽  
...  

Bangladesh, one of the most densely populated countries in the world with a density of about 1,265 persons per km2 having a limited land area with high development potential. Being able to accomplish noteworthy achievements in MDGs, Bangladesh is heading towards achieving the targets of the SDGs amid several challenges like high population, resource constraints, poverty etc. This study aims at addressing the challenges and prospect of increasing population density in achieving the SDGs. An exploratory approach has been applied to address how the density of population might influence the achievement of the SDGs. Data on population and other relevant parameters have been identified from census, published documents and articles. The current progress of SDGs attainment shows some of the goals are on track, but more progress could have been achieved unless being hindered by the high density of population. Feeding and providing the basic amenities to this huge population is quite a big challenge with limited resources, in contrast, optimum utilization of the demographic dividend by ensuring effective participation of the young active population in the current development process can also expedite the progress of attainment of SDGs. The adversities of the high density of population can essentially be offset by redistribution of urban population and decentralization of economic activities from major cities. Alongside appropriate and precise policy measures, comprehensive study on quantifying how the density of population is affecting the attainment of SDGs is recommended. The Dhaka University Journal of Earth and Environmental Sciences, Vol. 8(2), 2019, P 17-23


2021 ◽  
Vol 13 (8) ◽  
pp. 4280
Author(s):  
Yu Sang Chang ◽  
Sung Jun Jo ◽  
Yoo-Taek Lee ◽  
Yoonji Lee

A large number of articles have documented that as population density of cities increases, car use declines and public transit use rises. These articles had a significant impact of promoting high-density compact urban development to mitigate traffic congestion. Another approach followed by other researchers used the urban scaling model to indicate that traffic congestion increases as population size of cities increases, thus generating a possible contradictory result. Therefore, this study examines the role of both density and population size on traffic congestion in 164 global cities by the use of Stochastic Impacts by Regression on Population, Affluence and Technology model. We divide 164 cities into the two subgroups of 66 low density cities and 98 high density cities for analysis. The findings from the subgroups analysis indicated a clear-cut difference on the critical role of density in low-density cities and the exclusive role of population size in high-density cities. Furthermore, using threshold regression model, 164 cities are divided into the two regions of large and small population cities to determine population scale advantage of traffic congestion. Our findings highlight the importance of including analysis of subgroups based on density and/or population size in future studies of traffic congestion.


2017 ◽  
Vol 30 (1) ◽  
pp. 191-214 ◽  
Author(s):  
Meryl Jagarnath ◽  
Tirusha Thambiran

Because current emissions accounting approaches focus on an entire city, cities are often considered to be large emitters of greenhouse gas (GHG) emissions, with no attention to the variation within them. This makes it more difficult to identify climate change mitigation strategies that can simultaneously reduce emissions and address place-specific development challenges. In response to this gap, a bottom-up emissions inventory study was undertaken to identify high emission zones and development goals for the Durban metropolitan area (eThekwini Municipality). The study is the first attempt at creating a spatially disaggregated emissions inventory for key sectors in Durban. The results indicate that particular groups and economic activities are responsible for more emissions, and socio-spatial development and emission inequalities are found both within the city and within the high emission zone. This is valuable information for the municipality in tailoring mitigation efforts to reduce emissions and address development gaps for low-carbon spatial planning whilst contributing to objectives for social justice.


2020 ◽  
Vol 5 (3) ◽  
pp. 362
Author(s):  
Salim Bourchid Abdelkader ◽  
Hamidouche M'hamed ◽  
Abderrazak Ahmed Zian

This study presents several indicators for understanding the structure of economic activities in terms of concentration and specialization in the Kingdom of Saudi Arabia. Subsequently, the theoretical description of the different notions of concentration and specialization relating to geographical or sectors aspect is applied to understand the equality in the distribution of wages and employment levels across the country. Thus, the authors have estimated the most important indexes used in a large part of the academic literature and which are most representative of concentration and distribution, such as the Gini, Herfindahl, Theil, Aigiur, and Krugman indexes for the Kingdom of Saudi Arabia during the year of 2017. The sample used in this study consists of four different kinds of firms (very small, small, medium, and large) of twelve sectors of activities and the wages perceived by employees in thirteen administrative areas in the Kingdom of Saudi Arabia. The data are in the forms of annual reports in the year of 2017 obtained from the General Authority for Statistics of Saudi Arabia. The results obtained certainly facilitate the comprehension of the type of income distribution to the active population by sectors and by administrative areas. As for the implication, this study’s results contribute to enrich statistical data and bring added-value to the knowledge that eventually leads to understanding socioeconomic context of the country.


2021 ◽  
Vol 93 ◽  
pp. 01004
Author(s):  
Мaria Mukhlynina

Based on the analysis of the norms of strategic documents and other normative legal acts, the author considers environmental entrepreneurship in the light of sustainable socio-economic development of the Russian state, determines the significance of the concept of sustainable development for ensuring environmental safety, as well as environmental development of Russia. Social entrepreneurship, which has a high methodological potential, is designed to help solve a large number of accumulated environmental problems, especially in the field of waste management of production and consumption. The article analyzes individual UN sustainable development goals and national legislation designed to ensure the implementation of social entrepreneurship, which has a high methodological potential. The author concludes that the legislation is becoming more and more environmentally friendly, and these norms also penetrate into acts regulating economic activities, the profit from which should be reinvested in solving socio-environmental problems.


2012 ◽  
pp. 183-196
Author(s):  
Nenad Rankovic

Socio-economic changes throughout history have shaped the attitude towards the forest and most significant ones are changes in terms of population. Over the centuries population and population density have had a significant impact on deforestation and the reduction of forest areas. Therefore, it is important to check what kind of trends are concerned and how population growth affects forest areas, forest cover and forest area per capita. These elements are important for assessing the direction, intensity of activity and the degree of success in the implementation of all forest policy measures in Serbia.


2021 ◽  
Vol 16 (1) ◽  
pp. 56-81

This paper explores the relationship between the structure of regional comparative advantages and the dynamics of the export product scope of Russian manufacturing enterprises. For this purpose, indices of revealed technological proximity of industries are calculated on the basis of data on types of economic activities and the export product scope of Russian enterprises. The methodology for calculating these indicators is based on the assumption that technologically closer types of activities are, to a certain degree, more often co-produced and co-exported within the boundaries of individual enterprises. This measure of technological proximity has several advantages over the traditionally used indicators. Estimates show that the constructed indices reflect different aspects of technological proximity of industries and can be considered as composite indicators. Technological proximity measures are used to calculate the index of product proximity to the structure of export comparative advantages of Russian regions. This index is statistically related to the probability of a product being included in the export product scope of a Russian exporter, to the probability of the product being excluded from the export product scope and, as a result, to the value and dynamics of exports of this product by the regional enterprises. These findings indicate that there is a relationship between the current structure of the regional comparative advantage and the direction in which the range of exports of Russian enterprises located in this region evolves. The results of the study can be used for designing economic policy measures aimed at diversification of production and export of the Russian regions, in particular on the basis of existing producers and exporters, as well as applied by the firms themselves to detect the most promising directions of activity expansion taking into account the production structure of the region which the given firm is located at.


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