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Population Dynamics, Climate Change and Technology Nexus on Human Health
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Population Dynamics, Climate Change and Technology Nexus on Human Health

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Science and Engineering".

Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 20132

Special Issue Editor

Prof. Dr. Mustafa M. Aral

E-Mail Website
Guest Editor
1. Int. Academic Affairs and Research Acting Dean College of Engineering, Bartın University, President's Bldg., Agdacı Mevkii, 74100 Bartın, Turkey
2. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Interests: large scale environmental simulations in surface water and groundwater; environmental exposure analysis; exposure-dose reconstruction; health risk assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Humans rely on Earth's resources and engineered systems for their exploitation to support human populations. Elements of these resources include food, energy, minerals and water, availability of which are limited. Engineered systems are knowledge-based resource exploitation processes that are developed to increase the carrying capacity of Earth. The use of these systems has increased Earth's carrying capacity substantially. However mismanaged and uncontrolled exploitation of Earth's resources have also created problems for humans as well as the environment. Thus, knowledge production and its use are a doubleedged sword. Dynamic process created between societal needs and demands, and engineered productivity to meet this demand, is not sustainable if humans do not address the broader impacts of the technological innovations that are adopted. Given these opposing stresses there is another potential stress on the horizon, which is climate change. Climate change effects may significantly and adversely influence current stresses on earth. It is important for us to understand how to mitigate the downward spiral that may be created due to this stress and identify possible and feasible adaptation solutions to this complex problem. New perspectives are needed to determine how society can best integrate resources and engineered systems to provide for the growing demand, while maintaining quality of life for increasing  human population on Earth under climate change effects.

This Special Issue is included to the International Journal of ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH to gather and present most recent research activities within this broad research area with emphasis on POPULATION DYNAMICS, CLIMATE CHANGE and TECHNOLOGY NEXUS on HUMAN HEALTH. We are looking forward to receiving your contributions to this field.

Prof. Mustafa M. Aral
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Population dynamics
  • Environmental quality
  • Technology
  • Mathematical models
  • Numerical models
  • Statistical models
  • Data-Driven processes
  • Optimization Applications

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Published Papers (5 papers)

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Research

16 pages, 332 KiB  
Article
An Analysis of Large-Scale Forced Migration in Africa
by Murat Bayar and Mustafa M. Aral
Int. J. Environ. Res. Public Health 2019, 16(21), 4210; https://doi.org/10.3390/ijerph16214210 - 30 Oct 2019
Cited by 18 | Viewed by 4942
Abstract
In this paper, human security-related causes of large-scale forced migration (LSFM) in Africa are investigated for the period 2011–2017. As distinct from the conventional understanding of (national) security, human security involves economic, public health, environmental and other aspects of people’s wellbeing. Testing various [...] Read more.
In this paper, human security-related causes of large-scale forced migration (LSFM) in Africa are investigated for the period 2011–2017. As distinct from the conventional understanding of (national) security, human security involves economic, public health, environmental and other aspects of people’s wellbeing. Testing various hypotheses, we have found that civil and interstate conflicts, lack of democracy and poverty are the most important drivers of mass population displacements, whereas climate change has an indirect effect on the dependent variable. As a policy tool, foreign aid is also tested to see if it lowers the probability of LSFM. Our findings have implications for policy planning, since the conventional understanding of security falls short of addressing LSFM without taking various aspects of human security into account. Full article
(This article belongs to the Special Issue Population Dynamics, Climate Change and Technology Nexus on Human Health)
20 pages, 1457 KiB  
Article
The Effect of Corporate Social Responsibility and Public Attention on Innovation Performance: Evidence from High-polluting Industries
by Wei Wang, Xue-Zhou Zhao, Feng-Wen Chen, Chia-Huei Wu, Sangbing Tsai and Jiangtao Wang
Int. J. Environ. Res. Public Health 2019, 16(20), 3939; https://doi.org/10.3390/ijerph16203939 - 16 Oct 2019
Cited by 33 | Viewed by 4422
Abstract
High-polluting industries are important sources of pollutant emissions, and closely related to many environmental issues. High-polluting firms face the pressure to exploit technological innovation for improving their environmental operations. This paper explores the impact of corporate social responsibility and public attention on the [...] Read more.
High-polluting industries are important sources of pollutant emissions, and closely related to many environmental issues. High-polluting firms face the pressure to exploit technological innovation for improving their environmental operations. This paper explores the impact of corporate social responsibility and public attention on the innovation performance of high-polluting firms. Based on a sample of China’s listed firms in high-polluting industries from 2011 to 2016, we use a panel data model to investigate the associations among corporate social responsibility, public attention and innovation performance. The results show that there is a positive association between corporate social responsibility and innovation performance. There is a positive association between public attention and innovation performance as well. The pressure of regional economies can hinder innovation performance. Furthermore, in the subsample of state-owned enterprises, the association between public attention and innovation performance is more pronounced. Meanwhile, the corporate social responsibility of non-state-owned enterprises plays a stronger role for innovation performance, but its effect will be limited by the pressure of regional economies. Our results can help high-polluting firms implement the innovation strategies for obtaining more environmental benefits and achieving sustainable development. Full article
(This article belongs to the Special Issue Population Dynamics, Climate Change and Technology Nexus on Human Health)
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17 pages, 1243 KiB  
Article
Analysis of the Influence Mechanism of CO2 Emissions and Verification of the Environmental Kuznets Curve in China
by Debin Fang, Peng Hao, Zhengxin Wang and Jian Hao
Int. J. Environ. Res. Public Health 2019, 16(6), 944; https://doi.org/10.3390/ijerph16060944 - 15 Mar 2019
Cited by 22 | Viewed by 3515
Abstract
Changes in economic development stage and growth type will lead to variations in the CO2 emissions. Traditional empirical analysis of the variations often only considers the impact of influencing factors on CO2 emissions from a single dimension. Under the background of [...] Read more.
Changes in economic development stage and growth type will lead to variations in the CO2 emissions. Traditional empirical analysis of the variations often only considers the impact of influencing factors on CO2 emissions from a single dimension. Under the background of China’s economy transferring from high-speed growth to high-quality development, this paper comprehensively considers the characteristics of the relevant influencing factors under different development stages and growth rates, and further calculates the panel gray incidence degree between CO2 emissions and these influencing factors in eastern, central, and western China. Based on the different development conditions, corresponding benchmarks of the indicators for the three regions (eastern, western, and central China) are accordingly set, highlighting the unity as well as the uniqueness between different regions. Furthermore, this paper verifies the environmental Kuznets curve (EKC) in the three regions. The result shows that all the factors of per capita Gross Domestic Product (GDP), Energy Intensity, Urbanization Level, and Trade Openness have a high correlation with CO2 emissions in the three regions, in which CO2 emissions are all between the two inflection points of the inverted N-shaped model. Full article
(This article belongs to the Special Issue Population Dynamics, Climate Change and Technology Nexus on Human Health)
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16 pages, 4097 KiB  
Article
Are Small Cities More Environmentally Friendly? An Empirical Study from China
by Shuai Liu, Fei Fan and Jianqing Zhang
Int. J. Environ. Res. Public Health 2019, 16(5), 727; https://doi.org/10.3390/ijerph16050727 - 28 Feb 2019
Cited by 30 | Viewed by 3328
Abstract
City sizes are rapidly expanding, and urban air pollution is a serious challenge in China. PM2.5 (fine particulate matter) is the primary pollutant of urban pollution. This study aimed to examine the correlations between PM2.5 and city size. In this paper, [...] Read more.
City sizes are rapidly expanding, and urban air pollution is a serious challenge in China. PM2.5 (fine particulate matter) is the primary pollutant of urban pollution. This study aimed to examine the correlations between PM2.5 and city size. In this paper, using the panel data of 278 cities in China from 2007 to 2016, we constructed a static and dynamic panel model based on the STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) analytical framework. We found that there was a significantly inverted N-shaped correlation between PM2.5 and city size. Two inflection points were found at 949,200 and 3,736,100. We found no evidence to support the EKC (Environmental Kuznets Curve) hypothesis, while the “Pollution Haven Hypothesis” gained support. The contradiction between PM2.5 and city size will exist for the long term. Policy recommendations were proposed based on our findings. Controlling the city size does not seem to be necessary for very large cities as they have passed the second inflection point. Cities with a growing population are under great pressure to prevent PM2.5 pollution and need to implement greater measures to reduce pollution. Full article
(This article belongs to the Special Issue Population Dynamics, Climate Change and Technology Nexus on Human Health)
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10 pages, 1572 KiB  
Article
A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site
by Mansour A. Alghamdi, Afnan Al-Hunaiti, Sharif Arar, Mamdouh Khoder, Ahmad S. Abdelmaksoud, Hisham Al-Jeelani, Heikki Lihavainen, Antti Hyvärinen, Ibrahim I. Shabbaj, Fahd M. Almehmadi, Martha A. Zaidan, Tareq Hussein and Lubna Dada
Int. J. Environ. Res. Public Health 2019, 16(2), 258; https://doi.org/10.3390/ijerph16020258 - 17 Jan 2019
Cited by 9 | Viewed by 3468
Abstract
Ground level ozone (O3) plays an important role in controlling the oxidation budget in the boundary layer and thus affects the environment and causes severe health disorders. Ozone gas, being one of the well-known greenhouse gases, although present in small [...] Read more.
Ground level ozone (O3) plays an important role in controlling the oxidation budget in the boundary layer and thus affects the environment and causes severe health disorders. Ozone gas, being one of the well-known greenhouse gases, although present in small quantities, contributes to global warming. In this study, we present a predictive model for the steady-state ozone concentrations during daytime (13:00–17:00) and nighttime (01:00–05:00) at an urban coastal site. The model is based on a modified approach of the null cycle of O3 and NOx and was evaluated against a one-year data-base of O3 and nitrogen oxides (NO and NO2) measured at an urban coastal site in Jeddah, on the west coast of Saudi Arabia. The model for daytime concentrations was found to be linearly dependent on the concentration ratio of NO2 to NO whereas that for the nighttime period was suggested to be inversely proportional to NO2 concentrations. Knowing that reactions involved in tropospheric O3 formation are very complex, this proposed model provides reasonable predictions for the daytime and nighttime concentrations. Since the current description of the model is solely based on the null cycle of O3 and NOx, other precursors could be considered in future development of this model. This study will serve as basis for future studies that might introduce informing strategies to control ground level O3 concentrations, as well as its precursors’ emissions. Full article
(This article belongs to the Special Issue Population Dynamics, Climate Change and Technology Nexus on Human Health)
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